Conditions: Eating Disorder
Allocation: NA | Intervention model: SINGLE_GROUP
Enrollment: 88
Healthy volunteers: yes

Brief summary:
This study will use brain imaging technologies to measure several neurotransmitters (serotonin and dopamine) that contribute to our abilities to respond to reward or inhibit our impulses, and which are known to be altered in the brain of people with anorexia nervosa (AN) and bulimia nervosa (BN). Because palatable food stimulates dopamine secretion, we propose to use a challenge with brain imaging that will stimulate dopamine release which we hypothesize will generate anxiety rather than pleasure in AN, and will help explain why AN restrict eating in order to reduce anxiety. This study will help to understand the unique puzzling symptoms in eating disorders and contribute to finding better methods for identifying effective treatments for these often relapsing and sometimes chronic disorders.

Detailed description:
Alterations of serotonin (5-HT) and dopamine (DA) activity may contribute to extremes of appetitive behaviours in anorexia nervosa (AN) and bulimia nervosa (BN), through effects on inhibitory and reward neural pathways. To avoid the confounding effects of malnutrition, and because they have behaviours and neural circuit alterations relevant for this study, we will study 25 recovered (REC) restricting-type AN, 25 REC bulimic-type AN (AN-BN), 25 REC BN, and 25 control women (CW). This 5 year study, of women 18 to 45 years old, will employ positron emission tomography (PET) imaging with radioligands for the 5-HT transporter (\[11C\]DASB) and DA D2/D3 receptors (\[11C\]raclopride).

Arms:
arm 1: One time administration of oral amphetamine based on subject's weight (0.5 mg/kg). One PET scan using \[11C\]DASB. Two PET scans using \[11C\]raclopride.

Interventions: intervention 1: [11C]raclopride intervention 2: [11C]DASB intervention 3: amphetamine
Intervention descriptions: intervention 1: 1.\[11C\]raclopride -The change (Δ) in BPND (the difference between the \[11C\]raclopride BPND at baseline and post-AMPH treatment normalized to the baseline BPND intervention 2: BPND of \[11C\]DASB. intervention 3: The change (Δ) in BPND (the difference between the \[11C\]raclopride BPND at baseline and post-AMPH treatment normalized to the baseline BPND.

Protocol document:
Prot_SAP_000.pdf: 
 
 
UCSD Human Research Protections Program 
New Biomedical Application 
RESEARCH PLAN 
Instructions for completing the Research Plan are available on the HRPP website. 
The headings on this set of instructions correspond to the headings of the Research Plan. 
General Instructions: Enter a response for all topic headings.  
Enter “Not Applicable” rather than leaving an item blank if the item does not apply to this project. 
Version date: 09/09/2015 
1. 
PROJECT TITLE 
Monoamine Contributions to Neurocircuitry in Eating Disorders 
 
2. 
PRINCIPAL INVESTIGATOR  
P.I.: Walter H. Kaye, M.D.; UCSD Department of Psychiatry 
P.I.: Ursula Bailer, M.D.; UCSD Department of Psychiatry 
 
3. 
FACILITIES 
UCSD NeuroPET Center 
UCSD Eating Disorder Center 
UCSD Center for Functional MRI 
UCSD Clinical and Translational Research Institute (CTRI) 
University of Pittsburgh Medical Center, Department of Radiology, PET facility 
 
4. 
ESTIMATED DURATION OF THE STUDY 
5 years 
5. 
LAY LANGUAGE SUMMARY OR SYNOPSIS (no more than one paragraph) 
Evidence suggests that the regulation of the neurotransmitters serotonin and dopamine is altered in the brain of 
people with anorexia nervosa (AN) and bulimia nervosa (BN). This study will use brain imaging technologies 
to measure several neurotransmitters (serotonin and dopamine) that contribute to our abilities to respond to 
reward or inhibit our impulses, and which are known to be altered in the brain of people with anorexia nervosa 
(AN) and bulimia nervosa (BN).  Because palatable food stimulates dopamine secretion, we propose to use a 
challenge with brain imaging that will stimulate dopamine release which we hypothesize will generate anxiety 
rather than pleasure in AN, and will help explain why AN restrict eating in order to reduce anxiety. This 
application will help to understand the unique and puzzling symptoms of eating disorders and contribute to 
finding better methods for identifying effective treatments for these often relapsing and sometimes chronic 
disorders. 
6. 
SPECIFIC AIMS 
How are individuals with restricting-type AN able to starve themselves and become emaciated while most 
people have difficulty losing a few pounds? Furthermore, why do individuals with BN tend to periodically 
overeat? Considerable data support our overarching hypothesis: Serotonin (5-HT) and dopamine (DA) 
functional activity, through actions on reward and inhibitory neural pathways, contribute to disturbed appetitive 
behaviors and extremes of self-control in AN and BN. In order to avoid the confounding effects of malnutrition 
and weight loss (and because our data suggest that recovered (REC) individuals have persistent trait-related 
alterations of DA and 5-HT function,11, 12, 14, 60 we will study, over the course of 5 years, 25 REC AN, 25 REC 
AN-BN, 25 REC BN, and 25 age and body mass index (BMI) matched healthy control women (CW) who are 
18 to 45 years old. We will use PET imaging with specific radioligands for the DA D2/D3 receptors 
([11C]raclopride) and 5-HTT ([11C]DASB). 
  
It is well known that 5-HT functional activity inhibits feeding.23, 110 Considerable data90 suggest that AN and 
BN have different disturbances of 5-HT neural circuitry, which contributes to both restricted eating and 
overeating. In AIM 1, our data14, 138 support the prediction that REC AN will have elevated, and REC BN will 
have diminished 5-HTT binding [e.g., [11C]DASB binding potential (BPNondisplaceable tissue uptake (ND))] in midbrain 
and striatal regions) contributing to inhibition of appetite and other rewards in AN, and decreased self-
regulatory control in BN. We predict REC AN-BN will have 5-HTT binding values that fall in-between REC 
AN and REC BN. 


 
 
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DA circuits play a key role in optimal response to stimuli. Our data support the possibility that AN and BN may 
have similar dysregulation of anterior ventral striatum (AVS) system function, making them vulnerable to 
dysfunctional modulation of the rewarding aspects of appetitive behaviors (and modulation of emotionality). 
In Aim 2A, we propose to use PET and [11C]raclopride binding to confirm several hypotheses generated by our 
preliminary data regarding striatal DA D2/D3 receptors9, 60. First, that REC AN, and perhaps REC BN, have 
elevated anterior ventral striatum (AVS) [11C]raclopride (DA D2/D3 receptor) BPND compared to CW. Second, 
that dorsal caudate (DC) [11C]raclopride BPND in REC eating disorders (EDs) is associated with baseline harm 
avoidance (HA), a measure of inhibition and anxiety.  
In AIM 2B, we will assess endogenous striatal DA release in order to better understand altered striatal 
[11C]raclopride binding, and (in AIM 2C) to replicate and extend pilot data10 that show that endogenous DA 
release in the dorsal caudate (DC) provokes inhibitory and anxiety symptoms in AN and BN. In brief, because 
[11C]raclopride binding is influenced by endogenous DA, elevated [11C]raclopride binding could indicate either 
an elevation of the density and/or affinity of the DA D2/D3 receptors or a reduction of intrasynaptic DA 
concentrations. It has been shown in non-human primate studies that the decrease in the BPND of benzamide 
radiotracers such as [11C]raclopride following amphetamine (AMPH)-induced DA release is a reliable measure 
of endogenous DA transmission29, 108 in striatal subdivisions (limbic, associative and sensorimotor striatum).121, 
122 AMPH administration results in an increase in extracellular DA and a consequent reduction in 
[11C]raclopride binding. The change (Δ) in BPND (the difference between the [11C]raclopride BPND at baseline 
and post-AMPH treatment normalized to the baseline BPND and expressed as a percentage) provides a non-
invasive measure of changes in DA concentration in the human brain. We will use the PET/double 
[11C]raclopride/AMPH paradigm described above to assess striatal endogenous DA release. Several recent, 
small scale studies using this technology10, 31 and a previous study96 of cerebral spinal fluid (CSF) homovanillic 
acid (HVA), a DA metabolite, support the likelihood that REC AN and BN have alterations of endogenous 
striatal DA release. In AIM 2B we will assess endogenous DA release to help interpret alterations in DA 
functional activity as well as D2/D3 receptors in limbic, associative, and sensorimotor striatal regions. As 
summarized in Table 1 we predict that endogenous DA release will be selectively diminished in limbic striatal 
regions in REC AN and in associative and sensorimotor regions in REC BN. These data argue that AN have 
diminished ability to direct “motivated” responses whereas BN may have hypoactive dorsal associative 
inhibitory pathways. Several lines of evidence support our hypothesis that alterations of food-induced DA 
secretion, perhaps acting on DA D2 receptors, contribute to pathologic eating. In AIM 2C we seek to replicate 
and extend findings that AN have a paradoxical response to palatable foods because endogenous DA release in 
the DC is anxiogenic in AN. This anxiogenic effect is compensated for by restricted eating to avoid anxiety. 
We will also test the hypothesis that a measure of altered inhibition in AN is associated with DC DA D2 
binding. 
 
Behavioral disorders may be caused by complex disturbances in 
neural pathways. The relationship between altered 5-HT and DA 
function (and effects on ventral limbic and dorsal cognitive 
circuits) may modulate pathological feeding behavior in AN and 
BN. In brief, 5-HT and DA systems are thought to interact (with 5-
HT 
being 
aversive/inhibitory, 
and 
DA 
modulating 
reward/motivation) to regulate appetitive processes.42, 45 Our data9 
showed positive correlations between striatal [11C]McN5652 BPND and [11C]raclopride BPND in REC AN, REC 
AN-BN, and REC BN. Interactions between [11C]McN5652 BPND and [11C]raclopride BPND significantly 
predicted harm avoidance (HA), a measure of inhibition and anxiety, in REC ED.  We hypothesize that binding 
of these ligands may reflect complex 5-HT – DA neurotransmission interaction processes. In AIM 3 we seek to 
replicate these findings and determine whether a similar relationship occurs in CW.  
  
 
Limbic  
DA 
Balance 
Associative 
DA 
AN 
↓ 
< 
N 
AN-BN 
↓ 
Dysregulated 
↓ 
BN 
N 
> 
↓ 
Table 1  Model of striatal DA functional activity and 
the balance of limbic versus associative DA striatal 
circuitry 


 
 
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In AIM 4 we will explore how [11C]DASB)BPND and [11C]raclopride BPND are associated with neural circuits 
that modulate appetitive behaviors. We will co-register, in the same REC ED and CW, the PET findings in 
AIMS 1 to 3 with an fMRI study (UCSD IRB project No. 080019; 2 R01 MH0042984-17A1; W. Kaye PI) that 
examines neural substrates underlying appetitive, as well as reward and cognitive dysregulation. The anterior 
insula (AI) and striatum integrate the sensory/hedonic aspects of taste, interoceptive awareness, and 
reward/motivation. Importantly, fMRI studies show that REC AN have diminished181 and REC BN have 
exaggerated blood oxygen-level dependent (BOLD) response of this circuitry in response to tastes of sucrose.134 
We hypothesize that restricted eating and weight loss occur in AN because feeding elicits little reward or 
motivation (due to excessive 5-HT inhibition), whereas the opposite may be true for BN. We predict that REC 
AN-BN may fall in-between REC AN and REC BN. Our pilot data show that fMRI AI BOLD response to 
tastes of sucrose was negatively correlated with anterior striatal [11C]raclopride BPND in REC AN. This 
supports the speculation that those with the most diminished AI response to sucrose may have the lowest 
striatal DA concentrations and, thus, reduced appetitive motivation to approach food. In summary, AIM 4 will 
explore links between striatal [11C]DASB)BPND and [11C]raclopride BPND, and neural processes related to 
appetitive function, reward, inhibition, and self-control. In AIM 5 (exploratory) we will genotype the 5-HTT, 
DA D2/D3 receptors, and other relevant genes to explore their relationship with brain imaging.  
In summary, this application seeks to understand how [11C]DASB)BPND and [11C]raclopride BPND  are related 
to traits that are shared by, or divide EDs into subtypes. Our overarching goal is to characterize neural 
processes in ED, and their relationship to behavior. Current treatments for AN and BN are of limited efficacy. 
In AIM 6 we seek to extend prior animal and patient population work by directly measuring the relationship 
between spontaneous blink rate and endogenous striatal DA binding. By obtaining average spontaneous blink 
rates at baseline and during peak AMPH effects, this will be the first direct comparison between experimentally 
manipulated striatal DA binding and average blink rates in human subjects.  
 
7. 
BACKGROUND AND SIGNIFICANCE 
Background: 
AN and BN are disorders of unknown etiology that tend to have their onset during adolescence in women.1 
Although psychosocial factors are hypothesized to cause AN and BN, recent studies show that genetic 
heritability accounts for approximately 50 to 80% of the risk and creates neurobiological vulnerabilities.21, 32, 89, 
101, 155, 166 It is important to note that considerable evidence has suggested that childhood temperament and 
personality traits can create a vulnerability for developing AN and BN during adolescence. Recent studies2, 112, 
156 describe negative emotionality, HA, perfectionism, inhibition, drive for thinness, altered interoceptive 
awareness, and obsessive-compulsive personality traits as childhood risk factors that precede the onset of an 
ED, persist after recovery, and are elevated in unaffected family members.33 
Two types of consumatory behavior are seen in AN and BN. Restricting-type anorexics (“AN” in this 
application) lose weight purely by restricted dieting and have no history of binge eating or purging. Individuals 
with BN (“BN” in this application) do not become emaciated and are able to maintain an average body weight 
(ABW) above 85%. BN individuals alternate restricting with episodic binge eating and/or purging. The third 
category are individuals who have both AN and BN (“AN-BN” in this application). It has been argued that AN 
and BN share some common risk and liability factors because these disorders are often cross-transmitted in 
families and share many behavioral traits.101, 113, 160, 186 Both AN and BN individuals commonly have a 
seemingly relentless drive to restrain food intake, an extreme fear of weight gain, and a distorted view of their 
body shape as well as anxiety, obsessionality, and depression. In terms of differences, pure AN tend to be over-
controlled, whereas BN and AN-BN tend to have poor impulse control, greater novelty seeking,112, 159, 179 and 
high rates of drug and substance abuse.79  
Neural circuitry of ED: Imaging technology has supported the emerging ability to characterize the neural 
circuitry of neuropsychiatric disorders.74 A key element of our research90 has been to test hypotheses regarding 
the neural processes that contribute to shared and independent behavioral traits in AN and BN. Work by 
Phillips et al137 describes how dysfunction of limbic and cognitive neural networks may occur in a range of 


 
 
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psychiatric disorders. Specifically, a ventral limbic neural circuit, which includes the amygdala, anterior insula 
(AI), AVS, and ventral regions of the anterior cingulate cortex (ACC) and the prefrontal cortex (PFC), is 
necessary for identifying rewarding and emotionally significant stimuli and for generating affective responses 
to these stimuli. A dorsal executive function neural circuit, which includes the hippocampus, dorsal regions of 
the caudate, dorsolateral PFC (DLPFC), parietal cortex, and other regions, is thought to modulate selective 
attention, planning, and effortful regulation of affective states. We hypothesize that AN and BN individuals 
have an imbalance within and/or between ventral limbic and dorsal cognitive circuits. Imaging studies from 
several groups169, 180, 182 show that ill and REC AN and BN have altered activity of ventral limbic circuits that 
play a role in emotionality and reward. Thus, AN and BN may share an inability to precisely identify and/or 
modulate emotionality and reward in response to salient stimuli. Poor context separation may make them 
vulnerable to respond inappropriately to the rewarding aspects of appetitive stimuli. In contrast, fMRI studies 
consistently show that ill and REC AN have increased activity in cognitive neural circuits,180, 196 whereas ill and 
REC BN have diminished or impaired activity in these regions;120, 145, 182 consistent with enhanced higher-order 
inhibitory function in AN and reduced inhibition in BN. We hypothesize that AN are able to inhibit appetite 
and have extraordinary self-control because they have exaggerated dorsal cognitive circuit function, whereas 
BN individuals are vulnerable to overeating when hungry because they have less ability to self-regulate and 
control their impulses.  
Distinguishing Shared and Independent Traits in AN and BN: One goal of this application is to determine how 
monoamine and neural circuitry contribute to aspects of behavior and may be associated with diagnostic 
category (e.g., AN vs. BN), perhaps related to impulse control, or aspects that may cut across diagnostic 
boundaries, such as HA. We will study subjects recruited and assessed by UCSD IRB project No. 080019; 2 
R01 MH0042984-17A1. These subjects will have a comprehensive battery of behavioral and cognitive 
assessments. Still, we want to note that this application will focus on the role of HA, a multifaceted 
temperament trait39 that contains elements of anxiety, inhibition, and inflexibility; reflecting the concept of 
‘behavioral inhibition’. The reason is that our PET imaging studies show striking and consistent correlations 
between the BP of both 5-HT1A and 5-HT2A, DA D2/D3 receptors, and HA. HA is positively associated with 
increased 5-HT1A BP in REC AN,12 decreased 5-HT2A BP in REC AN-BN,11, normal 5-HT2A BP in ILL 
AN/AN-BN13 and increased DA D2/D3 BP in REC AN/AN-BN.60 In addition to being a premorbid childhood 
predisposing factor,2, 112, 156 elevated HA is common in all ill ED subtypes (for review see Cassin36) and 
elevated HA persists after recovery from AN and BN.179 This application seeks to understand the 5-HT, DA, 
and neural circuitry mechanisms contributing to elevated HA in ED subjects. Our data suggest HA is a trait that 
cuts across diagnostic boundaries (i.e., it is common to AN, AN-BN, and BN). However, it is possible that HA 
may be associated with extremes of impulse self-control.  
Distinguishing State and Trait in AN and BN: When malnourished and emaciated, individuals with AN and BN 
have alterations of brain and peripheral organ function that are arguably more severe than in any other 
psychiatric disorder.50, 87 As a result, neurobiological studies during acute illness are confounded by effects of 
malnutrition. Determining whether such symptoms are a consequence or a potential cause of pathological 
feeding behavior or malnutrition is a major methodological problem in the field. Considerable evidence 
suggests that childhood temperament and personality traits can create a vulnerability for developing AN and 
BN during adolescence, however, premorbid neurobiological studies in children are not practical. The strategy 
used in this application is to identify neurobiological vulnerabilities that are independent of the confounding 
effects of malnutrition by studying women who are REC from AN and BN.179 Even if persistent physiological 
disturbances in REC EDs are “scars” they are still likely to help understand the processes contributing to these 
disorders. 
Altered 5-HT function in EDs: It is well known that 5-HT alterations occur in people who are ill with AN and 
BN and persist after recovery.30, 88, 185, 192 How 5-HT function contributes to symptoms in AN and BN is not 
well understood. It is important to note that REC AN and BN have different patterns of 5-HT disturbances (see 
review by Kaye et al.88). For example, different degrees of elevated CSF concentrations of 5-HIAA,94, 95 
reduced 5-HT2A receptor binding,11, 64, 97 increased 5-HT1A receptor binding12 and altered behavioral 


 
 
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responses to 5-HT challenges.63, 99, 149, 188 5-HT function is known to be inhibitory of appetite and plays a role in 
anxious and obsessive behaviors, as well as in depression.23, 40, 78, 110, 117, 119, 151 There is an extensive literature 
associating 5-HT system activity with fundamental aspects of behavioral inhibition,71 e.g., reduced CSF 5-
HIAA levels are associated with increased impulsivity and aggression in humans and non-human primates, 
whereas increased CSF 5-HIAA levels are related to behavioral inhibition.52, 147, 190 It is important to note that 
both AN and BN tend to restrict their eating and lose normal meal patterns.129 We hypothesize that AN can 
maintain this inhibition continuously, whereas AN-BN and BN have periodic disinhibition and loss of self-
control, resulting in overconsumption of food. Several studies14, 138 have shown  that REC AN and REC BN 
have differences in 5-HTT function that, in turn, might contribute to extremes of impulse control or inhibition 
of feeding behaviors. Other evidence of differences in 5-HTT function is that AN have a poor response to 
SSRIs6, 34, 53 and other “antidepressant” medication, while these drugs have greater efficacy in BN. 
Altered DA function in EDs: Genetic, pharmacologic, and physiological data20, 66, 88, 96, 109 suggest that ill and 
REC AN have altered striatal DA function. It remains uncertain whether BN have trait-related DA disturbances 
because fewer DA studies have been done.19, 82, 93 In terms of PET studies, our group found that REC AN and 
AN-BN had increased [11C]raclopride BPND in the AVS.9, 60 Moreover, [11C]raclopride BPND in the DC was 
associated with HA in REC AN/AN-BN. DA disturbances in EDs may contribute to an altered modulation of 
appetitive behaviors, symptoms of anhedonia, dysphoric mood, and increased motor activity.75, 178 Animal 
studies indicate that DA in the striatum plays a key role in the optimal response to reward stimuli.47, 131, 146 To 
further understand striatal DA pathways and the relationship to reward, our group performed a fMRI study 
using a monetary choice task known to activate the striatum. Importantly, both REC AN180 and REC BN182 
failed to have a differential AVS response to positive and negative monetary feedback compared to CW. As 
noted above, AN and BN may share an inability to precisely identify and/or modulate emotionality and reward 
in response to salient stimuli. 
 
Exploration of group differences for endogenous DA release in striatal regions of interest (ROIs)  
Limbic striatal: Some, but not all, data show that mixed groups of REC AN and AN-BN have elevated 
baseline AVS [11C]raclopride BPND compared to CW.9, 10, 60 While pilot data10 in a mixed group of REC AN 
and AN-BN showed a non-significant reduction of endogenous DA release in the AVS, an earlier study from 
our group showed that only the REC AN (pure restricting-type) had significant reduction of the DA metabolite 
HVA in CSF compared to CW. In Parkinson’s disease there is diminished CSF HVA and extracellular DA.38, 84 
We seek to determine whether pure REC AN (never had BN) have reduced endogenous DA AVS release when 
compared to CW. Because endogenous DA displaces raclopride at the D2 receptor, elevated DA D2 receptor 
binding is consistent with diminished DA release. Altered AVS DA function in “pure” restricting-type AN 
group is likely given that this subtype has substantial anhedonia and reduced consummatory drive and other 
evidence of dysregulated AVS function.62, 180, 181 
    With regards to predictions of AMPH induced DA release in REC BN and AN-BN, there are limited 
background data. The pilot data from our group showed a non-significant baseline [11C]raclopride BPND 
increase in the AVS in REC BN,9 but a very large standard deviation (SD). Moreover, REC BN and AN-BN 
have normal CSF HVA levels96, and ill BN have normal limbic DA release.31 Together these data suggest that 
we will find normal limbic striatal DA release in REC BN. However, most studies to date have investigated 
mixed groups of AN and AN-BN, or BN and AN-BN. One advantage of the current study is that we are 
recruiting substantial numbers of “pure” subtypes. For example, the AN have never had BN symptoms. Second, 
data about DA release are critical for understanding DA’s relationship to anxiety and inhibition (AIM 2C) and 
to building a model (see below) regarding limbic and associative DA balance for the 3 subgroups.   
    Associative striatal DA predictions: In terms of the DC, the data reviewed above found no difference  
between REC AN/AN-BN and CW for baseline or Δ BPND values. We expect to find normal DC baseline 
[11C]raclopride and Δ BPND in “pure” REC AN. There are limited data regarding DA function in BN. Broft 31 
reported a trend toward decreased mean baseline D2/D3 receptor BPND in the posterior putamen and caudate in 
ill BN, and a significantly reduced/blunted DA release after the methylphenidate challenge in the anterior and 


 
 
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Figure 1: Predicted relationship between SSRT and 
baseline [11C]racloprideBPND. Gray shade, range of 
individual responses; •, mean CW values; Ο, mean 
AN values at baseline; , predicted change when 
post-AMPH SSRT is compared with baseline 
[11C]racloprideBPND.  
posterior putamen. Extrapolating the Broft31 findings from the ill BN to REC BN may be confounded by state 
related factors, such as relationship to binge frequency or the effects of malnutrition, as well as mixed 
diagnostic groups (some of the ILL BN had a history of AN). Still, there are reasons to think (see below) that 
REC BN will have diminished baseline [11C]raclopride and DA release in the associative and sensorimotor 
striatum, whether it is a trait or a “scar”.8, 73 
    Modeling DA process in AN and BN: AN and BN tend to have opposite extremes of self-control and 
inhibition. For example, recent meta-analyses35, 68 show increased rates of drug and alcohol abuse in BN and 
decreased rates in AN. In a recent review we propose91 that such inhibitory extremes make BN vulnerable to 
and AN “protected” from using drugs and alcohol and other consumatory (food) behaviors. There have been 
relatively consistent findings (reviewed in176, 177) of reduced PET [11C]raclopride BPND in the striatum, 
including the ventral striatum, in those with substance abuse and alcohol use disorders. Reduced/blunted striatal 
DA release in individuals who abuse cocaine and alcohol has been exhibited in a smaller number of PET 
studies in human and primate models.73, 122, 123, 174 Whether  BN and substance abuse share DA D2 receptor 
related vulnerabilities and whether opposite findings contribute to protective factors in AN remains to be 
determined.   
    AIM 2B will contribute to building our model of striatal DA functional activity in AN and BN. Studies of 
food tastes and negative and positive feedback consistently show altered ventral limbic circuitry in AN and BN 
(see review by Kaye91). In addition, fMRI studies tend to show that AN and BN have altered activity of dorsal 
executive/cognitive circuitry, which is consistent with the possibility that AN have enhanced higher-order 
inhibitory function and BN have reduced inhibition. Our overarching goal is to explore the balance between 
neural processes that modulate reward and inhibition. Do AN have “normal” DA “tone” in cognitive 
association networks in the dorsal neurocircuit (e.g. DLPFC-to dorsal striatum), which direct motivated actions, 
but impaired ability of the ventral striatal pathways that direct more ‘automatic’ or intuitive motivated 
responses? In BN, is there hypoactivity of dorsal cognitive association pathways that is insufficient in inhibiting 
“normal” hedonic/incentive motivation impulses in “reward” neural circuits? Alternatively, though not 
supported by these data, is it possible that AN have adequate ventral limbic-striatal circuitry, but this ventral 
circuitry is strongly inhibited by “hyperactive” inputs from cognitive domains such as the DLPFC and the 
parietal cortex? Conversely, BN may have exaggerated hedonic/incentive motivation impulses in “reward” 
neural circuits that overwhelm normal cognitive inhibition. Predictions about AN-BN are particularly 
handicapped by lack of data. It may be that they have impairments of both limbic and associated circuits 
leading to a particularly dysregulated balance between reward and inhibition, or that they have exaggerated 
defects of associative circuits.   
 
Relationship of endogenous DA release to anxiety and/or 
inhibition in AN and BN:  
Background: Considerable literature (see 36) shows that HA, a 
multifaceted temperament trait39 that contains elements of anxiety, 
inhibition, and inflexibility, is elevated in individuals who are ill 
with AN and BN and persists after recovery.179 As noted above, 
DC [11C]raclopride BPND  is positively correlated with HA.9, 60 
Importantly, increased DA D2-like receptor functional activity is 
associated with inhibition in healthy humans.72 Moreover, rats 
characterized as risk averse148 show greater D2 mRNA expression 
in the DC. In Aim 2C, we seek to explore how DA signaling in 
associative /executive cortical striatal circuitry may be related to 
inhibition and/or adverse consequences in AN and BN. 
    Anxiety: The major goal in Aim 2c is to replicate and extend 
our finding that self-reports of HA are associated with baseline D2 
binding in the DC in AN and BN, and self-reports of anxiety are 


 
 
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associated with endogenous DA release in the DC in AN. Our pilot data in REC AN10 show AMPH stimulated 
anxiety and this was positively associated with the magnitude of DA release in the DC. This is different from 
studies in controls, who tend to become euphoric after AMPH in association with AVS stimulant-induced 
striatal DA release.49, 107, 121, 175 Most people find eating to be a pleasant and rewarding experience. But for AN, 
eating stimulates dysphoric mood, while there is an anxiety-reducing character to dietary restraint and reduced 
caloric intake.61, 86, 153, 157, 173 Ingestion of palatable food is associated with striatal endogenous DA release.8, 17 
We hypothesize that food-induced release of DA activates DC D2 receptors resulting in anxiety in AN (and not 
AVS related reward and motivation as in healthy controls). As a result, AN individuals pursue starvation 
because food refusal may be a way of diminishing DA release and concomitant anxiety. In fact, AN individuals 
have decreased CSF HVA, the major metabolite of DA,92, 96 supporting this hypothesis. Predicting response in 
REC BN and AN-BN is more speculative. We may find a heterogenous response to AMPH in REC BN and 
AN-BN. In those who have high HA traits, we expect to find that AMPH administration makes them more 
anxious, and that anxiety will be associated with increased endogenous DA in associative and sensorimotor 
striatal regions. There may also be a group that becomes euphoric on AMPH. Broft31 reported evidence of an 
association between striatal DA response and ratings of “energetic” in ill BN but these were said to be driven 
by a small number of data points. This group, which may be at higher risk for substance abuse, may have 
diminished endogenous DA in associative regions, or enhanced AVS DA release associated with pleasure.   
  Inhibition: Clinically, it is well known that AN have exaggerated self-control and are anhedonic so they are 
able to sustain self-denial of food as well as most comforts and pleasures in life.60 For example, AN have an 
enhanced ability to delay reward (i.e., show less reduction in the value of a monetary reward over time) 
compared to healthy volunteers.154 This enhanced cognitive control and ability to delay reward may help to 
maintain persistent food restriction. We will build on a recent study72 in healthy controls that showed that 
striatal (particularly in dorsal regions) DA D2/D3 receptor availability was negatively correlated with speed of 
response inhibition [stop signal reaction time (SSRT)] and positively correlated with inhibition-related fMRI 
activation in frontostriatal neural circuitry. Thus people with faster stopping speed had more D2 receptor 
binding in the caudate and putamen. The stop signal task (SST) requires people to stop an already initiated 
response5 and calculates the speed of stopping (SSRT). There are relatively little response inhibition data (with 
SST or any other task) in AN, but a recent study in AN found that they had longer SSRT.69 Our data9, 60 show 
that AN have normal DC D2 binding. However, as noted above, there is evidence that ill92 and recovered AN96 
have reduced endogenous DA. Because AN may have less DA activating the DA D2 receptors, this may 
explain why their average inhibition ability is impaired. We will administer the SST after subjects complete the 
baseline [11C]raclopride PET study. We predict (Figure 1) that both AN and CW will show a negative 
relationship between SSRT and DC D2 binding, but that such a relationship in AN will be shifted to the left due 
to reduced DA activation of the D2 receptor. While slower inhibition in AN may seem counter-intuitive, this 
finding may be consistent with studies that show they have impaired abilities to change mental set.144 
   We will repeat the SST after administration of AMPH. Studies tend to show46, 111, 142 that AMPH improves 
inhibition in healthy people without changing “going” speed. That is consistent with the idea that AMPH 
induced release of endogenous DA increases activation of D2 receptors and thus underlies inhibition-related 
caudate activity.72 We expect to find that AMPH shifts healthy controls to the right (Figure 1). An abnormal 
shift to the right in AN would suggest aberrant function of DA/D2-related processes. It is possible that higher 
anxiety in AN179 contributes to the slower stopping speed. While low threat puts people in a state of arousal 
where they can stop things more quickly, high threat association appears to make them slower.136 We will 
stratify our AN population into high and low state anxiety groups to better understand the relationship between 
anxiety and response inhibition ability in this group, and how that relates to the AMPH challenge and a putative 
marker of endogenous DA. Overall, too few data exist to be certain that the SST is an adequate reflection of 
inhibitory control ability in AN (especially in a way that relates to self-control). Individuals with BN and AN-
BN have a puzzling group of symptoms in that they alternate between being overly inhibited and overly 
disinhibited: eating behaviors tend to alternate between restriction and overeating with a loss of normal meal 
patterns.189 This study will provide the opportunity to better understand relationships between [11C]raclopride 


 
 
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BPND  or DA release and measures of inhibition and anxiety in BN and AN-BN.  
 
Significance: The understanding of the pathophysiology of EDs has tended to lag behind other major 
psychiatric disorders. Improvement in the understanding and treatment of EDs are of immense clinical and 
public health importance133 as these are often chronic, relapsing illnesses77, 100, 102 with substantial and costly 
medical morbidity,124 and a high mortality.161 AN and BN have puzzling symptoms that are unique to the 
disorders: extremes of eating (restricting, bingeing/purging), relentless drive to lose weight, body image 
distortions, denial of illness, etc. We have little understanding of how such symptoms are encoded in the brain. 
These symptoms appear to be unique to humans. Since animal models have not been developed displaying 
these puzzling symptoms, studies in humans are essential. The overarching goal of this, and related 
applications, is to use imaging to understand the neural circuitry of AN and BN and how symptoms are 
encoded in these circuits. 
 
Importantly, for AN, there is no proven treatment that reverses symptoms133 or FDA approved medication.7, 34, 
83 While those with BN may respond better to treatment, many continue to be symptomatic or relapse.184 
Despite the evidence of 5-HT and DA disturbances in ED, there is little evidence that selective 5-HT reuptake 
inhibitors (SSRIs)6, 34, 53 or the neuroleptics pimozide and sulpiride170, 171 stimulate weight gain or reduce core 
symptoms in ill AN. Moreover, it remains controversial as to whether SSRIs reduce relapse after weight gain.98, 
158, 183 Still, preliminary data suggest that atypicals, such as olanzapine,15, 22, 24, 26, 28, 48, 51, 76, 81, 105, 118, 127, 130, 140, 
187 quetiapine,27, 126, 139 risperidone,58, 132 and aripiprazole168 may be useful in reducing anxiety and promoting 
weight gain in ill AN. Many of the psychoactive medications that are approved for use in humans act on 5-HT 
and DA pathways. Thus, a better understanding of how 5-HT and DA contribute to symptoms in ED may help 
us advance beyond the trial and error system and develop new methods for identifying effective medications 
and psychological treatments. 
 
Relationship between spontaneous blink rate and striatal dopamine 
The hypothesized relationship between spontaneous eye blink rate and striatal DA has been around for the last 
several decades. Experimental evidence supporting this hypothesis exists almost exlusively in animal 
research85, 165 and in patient populations85 despite being used as an established measure during tasks25. Using 
pharmacological85, 103 and neurotoxic165 manipulations of the DA system in monkeys, a strong case has been 
made for the role of striatal DA in moderating spontaneous blink rates with striatal DA levels being positively 
correlated with spontaneous blink rates. This link has been made using direct, and indirect DA agonists in 
Cynomolgus monkeys103, and was further refined by isolating the caudate as a potential key source of this link 
using the dopaminergic neurotoxin MPTP in monkeys (cercopithecus aethiops sabaeus). By using the well 
established dopaminergic abnormalities in schizophrenia and Parkinson’s Disease85, research in these patient 
populations have indicated that these DA abnormalities seem to be inducing the expected changes based on 
each disease’s dopamine profile consistent with the animal literature. This work seeks to extend past patient and 
animal research by being the first to directly compare and experimentally manipulate the relationship between 
striatal dopamine binding and spontaneous blink rate.  
 
8. 
PROGRESS REPORT 
To date a total of 47 participants have been enrolled into the study. We have successfully completed a total of 46 [11C]DASB 
(in 18 CW, 11 REC AN, 10 REC AN-BN, 7 REC BN) and a total 47 [11C]raclopride scans (in 19 CW, 11 REC AN, 10 REC 
AN-BN, 7 REC BN).  
 
9. 
RESEARCH DESIGN AND METHODS 
Screening and Assessments Prior to Imaging Studies:  
Once the written consent has been obtained, subjects will complete screening interviews (for Axis I and II 
diagnoses, including ED subtype diagnosis), a physical examination (15-20 min), and laboratory tests, e.g., EKG, 


 
 
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VS, hemoglobin, hematocrit, total leukocyte with differential, plasma electrolytes, liver and thyroid function (T3, 
T4 and TSH levels), urinanalysis, toxicology and confirmation of toxicology results (if required), cortisol levels, 
estradiol levels and pregnancy test prior to entering the study as previously described.12, 179 The measures used in 
this study include the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) to assess the lifetime 
prevalence of Axis I psychiatric disorders, a modified version of Module H of SCID-I to assess lifetime diagnoses 
of EDs and subtypes and the Yale-Brown Obsessive Compulsive Scale for the assessment of OCD symptoms. 
Subjects will self-report ED symptoms, depression, anxiety, impulsivity, perfectionism, and temperament.16, 18, 41, 
67, 70, 152, 162 To reduce confounding influences, we will exclude ED subjects who, in the past 3 months, have been 
on psychoactive medication or met criteria for substance abuse/dependence, major depression, or an 
incapacitating anxiety disorder.  
 
Subjects will also complete behavior self-ratings including assessments of personality, mood, depression, 
anxiety, impulsivity and other behaviors relevant to eating disorders (See Table 2 for complete listing). These 
assessments will be sent to their home prior to scheduling them for an interview. The dominant hand will be 
assessed by the Edinburgh Inventory for analysis of handedness.  
 
Table 2: Interviews and self-assessments 
Name 
Abbreviation 
Area assessed 
 Minutes 
Interviews: 
 
Mini-International Neuropsychiatric Interview  
M.I.N.I. Plus 
Axis I diagnoses 
60 
Module H of SCID I, Modified 
Module H 
ED diagnoses 
30 
Yale-Brown Obsessive Compulsive Scale 
Y-BOCS 
OCD 
30 
Yale-Brown-Cornell Eating Disorder Scale 
YBC 
ED symptoms 
15 
Set-shifting  
SS 
Inflexibility  
 5 
Self-Assessments: 
 
  
Beck Depression Inventory 
BDI 
Depression 
10 
Spielberger State-Trait Anxiety Scale-Version Y 
STAI-Y 
State and trait anxiety 
10 
Eating Disorders Inventory -2 
EDI-2 
Core ED symptoms  
15 
Multi-dimensional Perfectionism Scale 
MPS 
Perfectionism 
10 
Barrett Impulsivity Scale 
BIS 
Impulse control 
10 
Temperament and Character Inventory 
TCI 
Personality 
and 
temperament 
30 
Sensation Seeking Scale 
SSS 
Sensation Seeking 
15 
 
Study-Day Session Procedures: Each study will be done during the early follicular phase (days 1 to 10) of the 
subject’s menstrual cycle. Subjects will arrive the day before the study and stay overnight at the Clinical and 
Translational Research Institute (CTRI) at UCSD. On the day of the study, they will be awakened at 6:00 A.M. 
by the research staff. After a light breakfast, they will be transported by taxi to the Keck Center for Functional 
Magnetic Resonance Imaging on the UCSD campus at 7:00 A.M. After the acquisition of the structural MRI, 
which will be completed in about 30 minutes, the subjects will be transported again by taxi to the UCSD 
NeuroPET Center. The subjects will be informed of all of the procedures that will be performed and the 
information that will be obtained. The subject confirmation will be made via the signed copy of the written 
informed consent and then an intravenous catheter will be placed in either the left or right antecubital vein. 
After insertion of an intravenous catheter in a forearm vein, and a 20 minute transmission scan, a PET scan will 
be acquired following a slow bolus administration (over 20 sec) of 15 mCi of high-specific activity [11C]DASB. 
Emission data will be collected in 3D mode for 100 minutes using a standard PET protocol as previously 


 
 
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described.65 At the completion of the scan, the IV lines will be removed. An EKG, vital signs, mental status and 
physical exam will be performed and evaluated by the study physician prior to the subject’s discharge from the 
PET suite. 
    On the following day, the second day of the study, they will be awakened at 7:00 A.M. by the research staff. 
After a light breakfast, they will be transported again by taxi to the UCSD NeuroPET Center. After insertion of 
another intravenous catheter and following another transmission scan, the first PET scan will be acquired 
following a slow IV bolus administration (over 20 sec) of 10 mCi of high-specific activity [11C]raclopride. 
Emission data will be collected in 3D mode for 60 minutes using a standard PET protocol as previously 
described.60 The participant will then be able to rest outside the scanner and will receive a physical exam, 
mental status exam, EKG, and vital signs measurement. The IV will stay in place. Thirty minutes following the 
first scan with [11C]raclopride, the participant will receive 0.5 mg x kg-1 of oral AMPH. Blood pressure and 
heart rate will be recorded every two minutes for the first 15 minutes, every five minutes for the next 30 
minutes, and then every 15 minutes (up to at least 180 min). The post-AMPH [11C]raclopride scan will be 
performed 3 hours after the administration of AMPH. Assessment of behavioral responses will be conducted 
before and after PET scans. The participants will complete a symptom-rating visual analog scale (VAS) pre-
baseline PET, pre-AMPH, and then at 30 minute intervals a questionnaire assessing several states: “happy,” 
“anxious,” “energetic,” “restless.”163 To assess study participants’ mood states and fluctuations, we will utilize, 
at the same intervals, the short version of Profile of Mood States (POMS-B).125 The POMS is a useful measure 
of mood states and their fluctuations and is appropriate for both research and therapy. It is a factor-analytically 
derived self-report inventory that measures six identifiable mood or affective states: tension-anxiety; 
depression-dejection; anger-hostility; vigor-activity; fatigue-inertia; and confusion-bewilderment. For more 
than 30 years, the POMS assessment has provided a valid and reliable measure of affective mood states. The 
short version, POMS Brief, developed in 1989, has a total of 30-items with five on each of the six POMS 
factors. Like the longer version, the POMS-B has excellent internal consistency. Items are rated on a 5-point 
scale (not at all, a little, moderately, quite a bit, extremely) and they only take five minutes to compete. The 
items are easy for patients to understand, allowing them to quickly and accurately complete the assessment. The 
basic stop signal task115 will be done after the 1st [11C]raclopride (at baseline) and then shortly after the 2nd 
[11C]raclopride (post-AMPH) scan. The study will be completed by approximately late afternoon. At the 
completion of the second scan, the IV lines will be removed. An EKG, vital signs, mental status and physical 
exam will be performed and evaluated by the study physician prior to the subject’s discharge from the PET 
suite. The subject will be served a cafeteria-style assortment of lunch foods following the [11C]DASB scan on 
Day 1 and the post-AMPH [11C]raclopride scan on Day 2. The uneaten food will be weighed after completion 
of the meal and the total calories consumed will be recorded.  
 
MRI Protocol: All participants will undergo an MRI procedure for anatomical localization of ROIs. Only one 
MRI will be done per participant. A single MRI study will be performed at the UCSD Keck Center for 
Functional MRI using a GE Excite HDx 3.0 Tesla scanner as described in our parent grant. The registered MRI 
will be used as an individualized anatomic map for the selection of ROIs used in the analysis of the PET data 
(see section Neuroimage Analysis). 
 
Radiochemistry of [11C]raclopride and [11C]DASB: 
[11C]raclopride will be prepared at the UCSD Center For Molecular Imaging, PET Radiochemistry 
Laboratory. Radioactive [11C]CO2 will be produced by the 14N(p, α)11C nuclear reaction at the CTI RDS 111 
cyclotron operated by PETNET. The [11C]CO2 will be converted into [11C]CH3I in GE Tracerlab FX MeI box 
sequentially swept into a silver triflate oven to produce [11C]methyl triflate. O-desmethylraclopride 
tetrabutylammonium precursor that is reacted using the HPLC loop injection port procedure. Then, the contents 
of the loop will be quantitatively injected into a semi preparative liquid chromatography column. The 
[11C]raclopride fraction will be isolated, passed through a 0.22 µm sterile Millex-GV membrane filter, and 
collected in a 30 mL sterile vial already containing 15 mL of 0.9% sterile saline. Quality Assurance will be 


 
 
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performed as recommended by the FDA. For [11C]raclopride the radiochemical yield is 30-40% at the end of 
synthesis. The total synthesis time will be 40± 5 min. The specific activity at the end of the analysis is 1500 
Ci/mmol to 4000 Ci/mmol. The studies are carried out under IND 74,250. 
[11C]DASB will be prepared at the UCSD Center For Molecular Imaging, PET Radiochemistry Laboratory. 
Radioactive [11C]CO2 will be produced by the 14N(p, α)11C nuclear reaction at the CTI RDS 111 cyclotron 
operated by PETNET. The [11C]CO2 will be converted into [11C]CH3I desmethyl-DASB precursor that is 
reacted using the loop injection port procedure. Then, the contents of the HPLC loop will be quantitatively 
injected into a semi preparative liquid chromatography column. The product will be transferred into a flask 
containing a multiple volume (10x with respect to the product peak volume) of HPLC water. After that the 
aqueous solutionis pushed through a solid phase extraction cartridge containing C-18 (usually WATERS 
SepPak light C-18 cartridge). The product is retarded on the C-18 cartridge. The cartridge is washed with 10 ml 
sterile water followed by product extraction with 1 ml USP EtOH transferred into a sterile product vial already 
containing 19 ml isotonic saline using a 22 μm sterile Millex-FG membrane filter. Quality Assurance will be 
performed as recommended by the FDA. The total synthesis time will be 50± 5 min. The average specific 
activity at the end of the analysis has averaged 1000 to 5000 Ci/mmol. The studies are carried out under IND 
74, 254 for [11C]DASB. 
 
Dextroamphetamine sulfate (oral) is the dextro isomer of the compound d,l-AMPH sulphate. It is an FDA 
approved drug available for the treatment of narcolepsy and attention deficit hyperactivity disorder (maximum 
approved total daily dose of 5-60 mg). It is manufactured and marketed under the commercial name Dexedrine 
by GlaxoSmithKline pharmaceuticals. As dexedrine is available as an orange, triangular, scored tablet in 5 mg, 
10 mg and 15 mg strengths, it will be dispensed by the pharmacy as nearly as it can be approximated to 0.5 
mg/kg (in 2.5 mg increments). For example a subject who weighs 50 kg or 54 kg will receive 25 mg of AMPH, 
while a subject who weighs 55 kg will receive 27.5 mg of AMPH. The use of AMPH in this study will be in an 
off-label manner. The pharmacokinetics and behavioral effects of oral dextroamphetamine peaks at 3h.104 
Several other groups have successfully used oral AMPH in the dose range of 0.43-0.5 mg/kg in PET imaging 
studies.10, 143, 191, 193, 194  
 
PET scan protocol: The PET imaging will be done at the UCSD NeuroPET Center using a HR+ PET scanner 
under the supervision of Drs. Hoh and Buchsbaum. An intravenous catheter will be placed in a forearm vein for 
radiopharmaceutical infusion (this protocol will not involve arterial catheterization) and collection of blood 
samples. The subject’s head will be positioned and immobilized using a vacuum bead padding to decrease head 
movement during the scan. A 20 minute transmission scan, using rotating rods of Ge-68/Ga-68, will be 
obtained for attenuation correction of the emission scan(s). On the first day of the study, after the transmission 
scan, a PET scan will be acquired following a slow bolus administration (over 20 sec) of 15 mCi of high-
specific activity [11C]DASB. Emission data will be collected in 3D mode for 100 minutes using a standard PET 
protocol as previously described.65 At the completion of the scan, the IV line will be removed. On the next day, 
following another transmission scan, the first PET scan will be acquired following a slow IV bolus 
administration (over 20 sec) of 10 mCi of high-specific activity [11C]raclopride. Emission data will be collected 
in 3D mode for 60 minutes using a standard PET protocol as previously described.60 Blood pressure and heart 
rate will be recorded every two minutes for the first 15 minutes, every five minutes for the next 30 minutes, and 
then every 15 minutes until the subject is placed in the PET scanner (up to at least 180 min). The second 
[11C]raclopride scan will be done 3 hours post AMPH and will require a second PET transmission scan. During 
the waiting period (post AMPH), the participant will be asked to perform a few structured tasks and rating 
scales such as the Visual Analog Scale (VAS) and Profile of Mood Scale (POMS)125 to contrast with baseline. 
Approximately 5 mL of venous blood will be drawn at 0 and 30 min relative to the second [11C]raclopride scan 
to measure plasma AMPH levels. Following each PET scan, an EKG, vital signs, mental status and physical 
exam will be performed and evaluated by the study physician prior to the participant’s discharge from the 
UCSD PET center and the IV line will be removed. 


 
 
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Stop Signal Task: The basic stop signal task115 will be done after the 1st [11C]raclopride (at baseline) and then 
shortly after the 2nd [11C]raclopride (post-AMPH) scan. The test-retest reliability of the task is high.150 The task 
has been implemented in Matlab and Psychtoolbox 3,4 and can be run in 15 minutes, including practice. SSRT, 
the main dependent measure, will be computed using an approach that is optimal for treating between-group 
differences.172 
 
Neuroimage Analysis 
    MRI-Based Region of Interest (ROI) Definition for analysis of PET Data. PET and MRI image sets are 
aligned using PET/MRI fusion software (IDL, ITT Visual Information Solutions). ROIs are defined on MRI 
images across all MRI slices passing through those structures using an ROI drawing tool (imagetool) by trained 
tracers (blind to the diagnosis) with established reliability. For the [11C]raclopride and [11C]DASB studies ROIs 
will include the three functional sub-divisions (limbic, associative and motor) of the striatum as outlined by 
Martinez et al.121. The limbic striatum comprises the AVS; the associative striatum comprises the pre-
commisural DC, precommisural dorsal putamen and postcommisural DC; the motor striatum comprises the post 
commisural dorsal putamen. For the [11C]DASB studies, as outlined by Frankle et al.,65 The subcortical regions 
include thalamus, insula, midbrain, medial temporal lobe (a spatially weighted average of 5 limbic structures, 
the uncus, amygdala, entorhinal cortex, parahippocampal gyrus, and hippocampus). The neocortical ROIs are 
as follows: DLPFC, medial PFC, OFC, ACC, temporal and occipital cortex. The cerebellum will be used as 
reference region for both studies. A different set of ROIs are routinely utilized for fMRI studies. As a result, we 
will define a second ROI set that will be applied to the PET BPND maps and enable us to perform the integrative 
analyses to relate the PET and fMRI data in exploratory AIM 4. 
    Anatomically constrained functional regions of interest for fMRI analyses. One of our co-investigators, Dr. 
Anders Dale, in collaboration with his colleagues, has developed methods for reconstructing the cortical sheet 
based upon routine 3D T1-weighted MRI volumes.43, 44, 54, 55 FreeSurfer not only allows for the accurate 
measurement of cortical thickness, it also provides a method for parcellation of the cortical surface, where each 
location on the surface is assigned a neuroanatomical label based upon probabilistic information estimated from 
a manually labeled training set.56 The ROIs that will also be used for fMRI analysis include: bilateral caudate, 
ventral striatum, medial PFC, ACC, DLPFC, medial OFC, inferior frontal gyrus, inferior parietal cortex, and 
AI.  
    Analysis of PET Data: The “PET” ROIs will be applied to the dynamic [11C]raclopride and [11C]DASB 
images to obtain decay-corrected, time-radioactivity curves using a calibrated phantom standard to convert 
tomographic counts to µCi/ml for each time point. Analysis of the PET data for both [11C]raclopride and 
[11C]DASB will be performed using both the simplified reference tissue106 and graphical reference tissue116 
methods with the cerebellum as reference region for non-displaceable uptake. Both of these reference tissue 
methods have been shown to be appropriate models for quantifying [11C]raclopride49, 60 and [11C]DASB 
binding in humans65, 164 without an arterial input function. The outcome measure derived from these analyses is 
BPND. BPND (unitless) is equal of fNDBavail/KD where Bavail is the concentration of receptors available for 
radioligand binding in vivo (not bound to endogenous ligand), KD is inversely related to the in vivo affinity of 
radioligand for receptor binding and fND is the fraction of radiotracer freely dissolved in tissue water (i.e. free 
fraction) in the non-displaceable compartment.80 We will also generate parametric BPND maps that will be 
spatially normalized to the MR data set and the “fMRI” ROIs will then be applied to sample the normalized 
PET BPND maps. 
    FC analysis across regions. We will explore functional inter-relationships in AI, OFC, striatum, and ventral 
and dorsal putamen by combining information from both fMRI and PET data. Initial analyses will assess for 
outliers and distributions of fMRI and PET data times series to ensure modeling assumptions are met. Outliers 
will be Winsorized; non-normality will be handled via appropriate transformations. Missing data will be 
multiply imputed.114 FC of activation in these regions in response to sucrose stimulus will be assessed on an 
individual subject-level basis via partial cross-spectrum of BOLD activation time series.197 The partial cross 


 
 
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spectrum will be used to estimate the normalized partial mutual information, an overall measure of the linear 
and nonlinear FC between pairs of regions controlling for activations in the remaining regions. The stimulus 
waveform will also be entered as a separate time series in this model to control for non-stationarity in activation 
of regional BOLD time series due to stimulus. The resulting FC estimates will then be entered into a random 
effects model with clustering of responses by subject; subject-level PET 5-HT/DA function in these same 
regions will be entered along with group membership (REC AN, REC AN-BN, REC BN, and CW). This 
random effects model will be used to test for whether any group differences in FC in this network are (partially) 
explained by subject differences in 5-HT and/or DA function. The methods implemented in the FC toolbox in 
MATLAB (Version 7.6)197 will be adapted to perform these analyses. 
    Exploratory analyses of PET and fMRI data relationships. Relationships between the PET BPND and Δ in 
BPND values and the fMRI results will be explored with supplemental statistical analyses, performed across 
subjects. First, task-specific BOLD fMRI activation will be related to a specific PET BPND value following the 
methods of Fisher et al. (2009).57 A partial least squares (PLS) multivariate analysis will be applied to relate 
regional results and/or voxel level contrast maps.37, 141, 195 PLS is a non-parametric dimension reduction method 
that will utilize 2 blocks of manifest variables (X and Y) that can be statistical contrasts, covariates or 
neuroimaging data. The inter-block covariance matrix RYX between X and Y is determined and primary 
outcomes are scores that represent the elements of block-X and block-Y that are most correlated. PLS can be 
applied to relate fMRI single-subject ROI results to PET BPND maps or relate a difference map for a fMRI 
BOLD contrast to a difference map for a PET BPND contrast between groups.  
 
Genetic Analyses: 
A one-time 20cc sample will be collected on the first scanning day only from consenting participants for the 
purpose of extracting DNA to determine whether polymorphisms of physiological systems that are known to 
influence 5-HT and DA function contribute to binding on the PET/radioligand studies with women who have 
an eating disorder history. All samples collected will be identified without personal identifiers, but coded, and 
known only by Dr. Kaye's research team. Genetic samples will be used for eating disorder research, obesity or 
related disorders. Should a participant withdraw her consent from this genetic testing, the samples will be 
immediately destroyed. Otherwise, frozen samples will be kept under locked conditions at UCSD in the Eating 
Disorders Center for Treatment and Research for an indefinite time where they will be submitted for analysis 
with DNA and lymphocyte extraction. A specific consent for this blood draw will be signed at the time of study 
consenting if the participant is interested in participating. Blood samples for genetic analysis will be stored in 
freezers at the Eating Disorders Center for Treatment and Research under supervision of Dr. Kaye. Dr. Kaye 
will be responsible for determining how DNA will be used. The specimens collected and the DNA that they 
contain may also be used in additional research to be conducted by the University of California personnel 
collaborating in this research. In addition to Dr. Kaye, subjects DNA may also be studied by other future 
collaborators that are unknown at this time to learn more about eating disorders, obesity and other related 
disorders. No more than a total of 105 cc of blood will be drawn for both studies together; this amount is 
approximately 20-25% of a regular blood donation. 
 
Power and Statistical Analysis Plan: 
Aim 1: In AIM 1 we will use PET and [11C]DASB BPND to determine whether there is a continuum of 5-HTT 
binding associated with diagnosis. We hypothesize that REC AN will show increased and REC BN decreased 
[11C]DASB BPND in midbrain and striatal regions. REC AN-BN will have [11C]DASB BPNDs between those 
of REC AN and REC BN and will probably not differ from CW. These hypotheses will be tested by an 
unpaired t-test with diagnosis as factor and [11C]DASB BPND as dependent variable. We will use Troendle's 
(1995) method to adjust for multiple comparisons.167 Our preliminary study14 found [11C]McN5652 BPNDs of 
1.169 (CW), 1.316 (AN), 1.027 (BN), and 1.168 (AN-BN) in the dorsal raphe, with a SD of 0.348 or less in 
each group. [11C]McN5652 is an older radioligand and, based on additional pilot data, we expect to see 
[11C]DASB BPNDs that are roughly 2.17-times higher than [11C]McN5652 BPNDs in the midbrain, with only a 


 
 
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slight increase in within-group SDs (less than 0.382 for [11C]DASB BPND). With 25 subjects per group, a 
(Welch-Satterthwaite) t-test will have power in excess of 80% to see a difference between the REC AN and 
CW (based on a mean difference of 0.319 and a within-group SD of 0.382) and REC BN and CW (based on a 
mean difference of 0.308 and a within-group SD of 0.382) at the 0.05 level (two-sided). We expect the 
[11C]DASB BPND for REC AN-BN to be between that of REC AN and REC BN and (essentially) the same as 
CW. 
 
Aim 2A will compare REC AN, REC AN-BN and REC BN to CW to test the hypothesis that REC AN and 
REC BN have increased AVS [11C]raclopride BPND compared to CW, and to further explore [11C]raclopride 
BPND in REC AN-BN. We will assess [11C]raclopride BPND in ventral and dorsal putamen, ventral and DC 
and consider the influences of age, weight, and other relevant variables. These hypotheses will be tested by an 
unpaired t-test, with diagnosis as factor and [11C]raclopride BPND as dependent variable. We will use 
Troendle's (1995) method to adjust for multiple comparisons.167 Based on our pilot data we expect to see 
[11C]raclopride BPND of roughly 2.120 (CW), 2.404 (REC AN), 2.299 (REC BN), and 2.147 (REC AN-BN) in 
the AVS, with SDs of roughly 0.359 in each group. With 25 subjects per group, a (Welch-Satterthwaite) t-test 
will have power in excess of 90% to detect differences in [11C]raclopride BPND between each of the ED 
groups and CW at the 0.05 level (two-sided). We will also regress log [11C]raclopride BPND on group (REC 
AN, REC AN-BN, and REC BN, with CW as the reference group), controlling for age, height, and weight. To 
the extent that these additional covariates are associated with log [11C]raclopride BPND, this will reduce the 
standard error associated with each of the group effects leading to improved power. 
 
In Aim 2B ee hypothesize DA release (as reflected by AVS Δ BPND) will be diminished in REC AN patients 
when compared to CW. This hypothesis will be tested using linear regression, with diagnostic group as factor 
and log AVS BPND as dependent variable, controlling for age, height, and weight. For Aim 2B, we propose a 
regression model of the form: [log(post-AMPH BPND) = a + b * log(baseline BPND) + c * group + error and 
hypothesize that the group differences (c) will be statistically significantly different from 0. Indeed, based on 
our preliminary data, we expect a pre-post difference in log-binding-potential [log(BPND)] in the AVS of 0.132 
in the REC AN group and 0.101 in the CW with SDs of 0.048, corresponding to a group difference of c = 
0.031, with a pre-post correlation of 0.90. Assuming this, with 20 subjects per group, we will have 51% power 
at the 0.05 level (two-sided). This is improved by controlling for age, height, and weight. Indeed, controlling 
for these produces a smaller error SD of 0.034, with the same coefficient estimates as above. In this case, we 
will have power in excess of 0.80 for group differences at the 0.05 level (two-sided). Preliminary data from 
Broft et al.31 suggest the differences between ILL BN and CW in Δlog(BPND) are even larger post-pre 
methylphenidate administration. Indeed, they saw changes on the order of 2.69 on the log scale for ILL BN and 
3.17 for CW in the putamen with SD below 2.53. This corresponds to a group difference of 0.471 and, 
assuming similar pre-post correlations and effects of age, height, and weight, we should have power greater 
than 0.80 to see group differences at the 0.05 level (two-sided) in this case as well.  
 
Aim 2C Relationships between [11C]raclopride Δ BPND and behavioral characteristics (from assessments and 
VAS scales) and plasma AMPH levels of subjects will be analyzed with Pearson Product-Moment correlation 
coefficient. For example, we will compare the Fisher’s z-transformed correlations between behavioral measures 
of euphoria and anxiety with [11C]raclopride Δ BPND in REC AN, REC AN-BN and REC BN vs. CW using a t-
test. Based on our pilot data in REC AN, we expect correlations between euphoria and [11C]raclopride Δ BPND 
in the AVS to be larger (in magnitude) than -0.69 in CW and 0.21 in REC AN subjects. Assuming a difference 
in Fisher's z-transformed correlations of 1.06 (or larger), we will have power 0.91 to see a group difference at 
the 0.05 level (two-sided), with 20 subjects per group. (Note that the z-transformed value of 0.69 is -0.85, and 
the z-transformed value of 0.21 is 0.21, giving a difference of 0.21 - (-0.85) = 1.06). Similarly, we will correlate 
DA release with self-ratings of anxiety, euphoria, self-control, and labile mood in striatal regions in order to 
assess behavioral response, as well as SSRT and post-study food consumption. We will use continuous 


 
 
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measures of impulse control and inhibition including the SSS,198 BIS-11,16 EDI-2-subscale impulse 
regulation,70novelty seeking and HA from the TCI41 and the basic stop signal task.115 It is not certain what to 
expect from the REC BN and REC AN-BN subjects, but we will look for differences in correlations in the same 
way. Assuming these differences are larger than 0.909, we will have power in excess of 0.80 to see group 
differences at the 0.05 level (two-sided). We will explore the effects of age, height, and weight on DA release 
using partial correlations, after controlling for these variables. 
 
Spontaneous Eye Blink Rate: Collecting of eye blink rate data will be done two times during the study, shortly 
before the 1st [11C]raclopride scan (baseline), and shortly before the 2nd [11C]raclopride (post-AMPH) scan. 
Spontaneous eye blink rate will be measured by having participants sit in front of a computer screen that is 
equipped with a video recording device. Participants will be told to look at the fixation cross in the center of the 
screen for a duration of five minutes with the explanation that we are interested in recording aspects of facial 
movements. Participants will not be told that blink rates are the object of the fixation to ensure that blink rates 
truly are spontaneous and are not being intentionally manipulated by the participant. Data will subsequently be 
scored by averaging across each five minute span to obtain a blink per minute rate, similar to prior work using 
this methodology.85 
10. 
HUMAN SUBJECTS 
Subject Population: We seek to recruit 30 REC AN, 30 REC AN-BN, 30 REC BN, and 30 CW, between ages 
18 to 45 for the PET imaging studies. It is our experience from previous studies that it will be necessary to 
enroll an additional 20% of subjects due to drug failure, non-completion of PET studies, etc. Thus, we expect to 
complete PET studies in a total of 100 subjects (25 REC AN, 25 REC AN-BN, 25 REC BN, and 25 CW).   
    Only right-handed subjects will be included as screened by the Edinburgh Handedness Inventory.135 The 
rationale for including only female subjects is that AN, AN-BN and BN among males is relatively rare (less 
than 10% in our experience). Furthermore, because some males with AN, AN-BN or BN have many atypical 
features, they should be subjects of a different study. All subjects will be matched by age, IQ, income, 
race/ethnicity, and will be non-smokers. REC AN, REC AN-BN, REC BN, and CW will be matched by BMI. 
Subjects will be recruited locally and nationally to reflect the racial/ethnic composition of the United States, 
which encompasses a wide range of ethnically diverse individuals (i.e., 65.6% White persons, not Hispanic, 
15.4% Hispanic or Latino origin, 0.2% Native Hawaiian and Other Pacific Islander, 4.5% Asian persons, 1.0% 
American 
Indian 
and 
Alaska 
Native 
persons, 
12.8% 
Black 
persons, 
79.8% 
White 
persons 
(http://quickfacts.census.gov/qfd/states/00000.html). While every effort will be made to recruit participants in 
respective proportion to these demographics, it has been our experience that patients with AN, AN-BN and BN 
tend to be predominantly white. Subjects fulfilling all the inclusion, but none of the exclusion criteria, will be 
admitted to the study. No exclusion criteria shall be based on race or ethnicity. 
 
Inclusion Criteria for REC AN, REC AN-BN and REC BN Women: REC AN, AN-BN and BN subjects must 
have, at some point in their life, met a DSM-IV diagnosis of AN and/or BN. The onset of their illness must 
have been at least 4 years prior to participating in this study. Due to the high rate of conversion from AN to BN 
within 3 years of onset, this time requirement will ensure that they did not convert from one diagnostic subtype 
to another. Thus, diagnostically “pure” groups may be obtained. REC AN women must have met DSM–IV 
criteria for AN, restricting type, with an ABW below 85% for height.128 They must never have engaged in 
binge eating (as defined in DSM–IV) or purging behaviors (e.g., vomiting, laxative or diuretic abuse, enemas, 
etc.). REC AN-BN subjects must, at some point in their life, have been below 85% ABW and have had 
binging/purging behaviors during a period of low weight. REC BN must have met a lifetime DSM–IV 
diagnosis of BN with no history of AN. They must have engaged in binge eating (as defined in DSM–IV) 
followed by vomiting at least once a day for 3 days of the week over at least a 3-month period. All subjects 
must be right-handed. 
    ED groups must have been REC for 12 months or more prior to entering the study. Status of recovery will be 


 
 
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defined as follows: a) No bingeing, purging, restrictive eating or other ED related behaviors in the preceding 12 
months; b) Maintained a stable weight (± 3.0 kg) between 90% and 120% ABW128 for at least 12 months; c) 
Regular menstrual cycles for the preceding 12 months; d) Have values within the normal range for beta–
hydroxy–buteric–acid (BHBA), glucose, and insulin during the evaluation phase. Subjects will be studied 
during the first 10 days of the menstrual cycle (early follicular phase). 
 
Exclusion Criteria for REC AN, REC AN-BN and REC BN Women: a) Met diagnosis of alcohol or drug abuse 
or dependence in the 3 months prior to the study. Alcohol or substance use within 30 days prior to PET studies 
as determined by self-report, clinical or psychiatric interviews, or urine toxicology screen; b) Current diagnosis 
of an Axis I major affective or anxiety disorder or suicidal thoughts, or presence of other psychopathology that 
might interfere with ability to participate in the study, (e.g., requiring inpatient hospitalization or medication); 
c) Organic brain syndromes, dementia, psychotic disorders, or mental retardation; d) Neurological or medical 
disorders such as seizure disorder, renal disease including pyelonephritis and chronic cystitis, impaired renal 
function including hyponatremia (less than 135 meq/l), hypokalemia, raised BUN (more than 15 mg/dl), raised 
creatinine (more than 1.5 mg/dl), diabetes, thyroid disease including hyperthyroidism and hypothyroidism, 
EKG indicative of electrolyte imbalance; e) BN subjects whose primary or only purging methods were the use 
of laxatives, diuretics or means other than vomiting; f) Use of psychoactive medication in the 3 months prior to 
the study; g) Pregnancy, lactation or lack of effective birth control during the 15 days before the scans. A 
pregnancy test will be conducted within 24 hours of the study; h) Tobacco use in the 3 months prior to the PET 
studies. 
 
Criteria for CW: Healthy CW must not have any stigmata suggestive of an ED. They must have maintained an 
ABW between 90% and 120% since menarche. Their lab tests, medical and psychiatric histories, and physical 
and neurological examinations should indicate no current or past psychiatric (definitive Axis I disorder), 
medical or neurological illness. We recognize that these criteria will create a selection of healthier than average 
control subjects. However, it was deemed more important to avoid the potentially confounding effects of 
psychiatric symptomatology in the control group with regard to the biological measures for the current study. 
All pregnant and lactating women will be excluded. 
 
11. 
RECRUITMENT 
This is a five-year study in which we will recruit equal numbers of subjects each year. It is our experience from 
previous studies that it will be necessary to enroll an additional 20% of subjects due to drug failure, non-
completion of PET studies, etc. Thus, we expect to enter 30 subjects to complete cells of 25 radioligand/PET 
studies per subject group. Overall, we will enter 120 subjects into this study in 5 years or 24 subjects per year. 
   Since at least 50 to 70% of individuals who have anorexia or bulimia eventually recover, we are confident 
that our recruitment goal can be achieved over the proposed 5-year period. All CW will be recruited from the 
greater San Diego region to minimize travel cost. However, based on our experience, approximately 75% of our 
REC subjects will come from outside southern California.  
    We will continue to employ recruitment strategies that were effective in our previous studies. These include: 
a) mailings to former patients of UCSD and the University of Pittsburgh ED treatment programs and other 
nationally recognized ED treatment programs directed by colleagues; b) mailings of IRB approved flyers to 
clinicians and treatment centers specialized in EDs, and to university health and counseling centers; c) placing 
advertisements and study announcements in ED related publications, press releases and conferences (e.g., 
NEDA, AED and EDRS); d) placing study advertisements on websites such as EDReferral and NEDA. We will 
also utilize the UCSD research websites which make available to professionals and the lay public alike our 
research publications and current findings; e) We may also contact participants who have been in our previous 
studies and who appear to be appropriate potential participants for this current study, provided they have given 
written permission to recontact them. There will be no cold-calling to any potential participant. 


 
 
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Subjects will contact our staff by either phone or email at which time we will ask initial screening questions 
which do not contain any identifiable information: age, weight, height, use of medications, handedness and 
presence of metal in the body. Our procedure is to establish if prospective study participants meet minimal 
criteria as described before proceeding to explain the protocol and obtain address to send out consent form and 
self-report questionnaires. If subjects are disqualified at this time their information will be destroyed. If 
preliminary requirements are met, this information is destroyed (page 1 of brief screening tool) and we would 
then proceed to obtain mailing information. This information is the same as would be asked if the subject was 
being set up for a clinical appointment. The only information retained will be name and address, and phone 
number. The protocol will then be explained to the subject and we will then mail a consent form and self-
assessment questionnaires to the subject. If a subject declines to participate or does not meet the minimal 
required inclusion criteria as per brief screening tool, the information obtained will be destroyed. This 
information will also be destroyed after receiving a signed consent form back from a subject or in the case of no 
response after sending the consent information to a subject.  
Recruitment will be accomplished by posting IRB approved flyers, website ads, craigslist, The San Diego 
Reader and ads in local and regional publications. Potential subjects can respond to these advertisements by 
phone or in writing. Many potential participants will live outside the immediate San Diego area; these potential 
research subjects would probably be unwilling to participate if they were required to come to UCSD to sign a 
written consent and undergo the initial screening. Also, because many subjects are excluded before completing 
the entire initial screening, requiring a trip to UCSD for a preliminary screening would be very time and cost 
intensive and therefore delay the completion of the study. Therefore, these subjects approaching us about 
participating in research will undergo a brief interview or telephone screening conducted by our research staff. 
This screening is designed to give a preliminary indication of whether or not the subject will be appropriate for 
this research study based upon current age, height, weight, and if the subject is currently on any medications. 
The preliminary screening tool is enclosed. It contains no name or identifier, (page 1). The only information 
retained will be name and address, (page 2). Written consents will then be obtained from the participant before 
any information is obtained for the in-depth screening process. If potential subjects appear to meet inclusion 
criteria (age, weight, height, and absence of medications) the research program will be explained to the 
subjects. All information is confidential and would not affect an individual’s employability or reputation. 
 
12. 
INFORMED CONSENT 
Once a potential study participant expresses interest in our study and meets preliminary eligibility requirements, 
as determined by the brief phone screen, a written consent form will be sent to the subject either electronically 
or via mail. Consenting procedures will be HIPAA compliant. Upon receipt of written consent, recruitment 
contact will further explain by phone the details of the consent. The subject recruiter will present to study 
participants the objectives, procedures and a clear statement explaining risks and benefits involved in the study. 
Questions will be asked and elicited in order to ascertain that participants comprehend the study procedures as 
well as potential risks involved, prior to consenting to the study. All study related questions from study 
participants that a research staff is unable to address will be referred to one of the principal investigator, Drs. 
Kaye and Bailer, or other co-investigators. Once a participant signed the consent form, the participant is 
considered enrolled in the study. 
 
Participants will sign a separate consent form if they are interested in the future genetic study. The same 
consenting procedure described above will be followed. 
 
13. 
ALTERNATIVES TO STUDY PARTICIPATION 
This is not a therapeutic study, and there are no alternatives. 
 
14. 
POTENTIAL RISKS 


 
 
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Risks of Psychological and Cognitive Assessments. The main risks are that clinical interviews, cognitive 
testing and self-report questionnaires are time consuming. Material elicited during interviews may be upsetting 
to some study participants. Others may find cognitive tasks to be challenging or frustrating. These assessments, 
however, rarely pose psychological risks for study participants. It is our experience that REC ED subjects and 
CW will be willing to cooperate with such studies. These studies have not been psychologically traumatic to 
REC ED patients in the past. It should be noted that REC ED subjects are often motivated by altruistic feelings 
and are usually cooperative with studies that serve to develop a better understanding of EDs. We do not feel 
that these studies pose any significant psychological risk for the patients. 
 
Risks of Venipuncture and Blood Sampling. There is minor discomfort and potentially significant 
psychological distress associated with venipuncture, if the procedure is not well-handled. There is a rare risk 
associated with the chance of infection or light-headedness or fainting due to blood withdrawal (less than 1 out 
of 100 people) and a more common risk (10 to 25 out of 100 people) of slight pain, bruising, bleeding or 
soreness associated with taking blood from a vein. 
 
Risks of Catheterization. Insertion of a catheter for intravenous injection of the PET radiopharmaceutical is 
rarely associated with the chance of infection (less than 1 out of 100 people), but more commonly associated 
with slight pain or bruising at the puncture site (10-25 out of 100 people). 
 
Risks of MRI. According to the FDA, there is currently no evidence that MRI with approved scanners of up to 
4 Tesla signal strength are associated with adverse effects. However, there are three major sources of potential 
risks. First, the subject may experience discomfort being in the confined and sometimes noisy environment of 
the scanner. Second, the strong magnetic field will affect electronic, magnetic and metal devices that subjects 
may carry with them or that have been implanted in the their bodies. Third, if unprotected, hearing loss can 
occur with prolonged exposure to the noise generated during MRI imaging. In addition, subjects may 
temporarily experience dizziness and/or nausea if the individual moves rapidly through the magnetic field. 
There is also the potential for RF-induced local heating and for mild electric stimulation due to induced currents 
from rapidly switching gradients. 
 
Risks of administering tracer dose of [11C]DASB and [11C]raclopride. Mass doses of radiotracers used in 
these studies are negligible. For these compounds, with affinities in the pico- to nano-molar range, the receptor 
occupancy is negligible, and we have not observed any pharmacological effects. However, as with any drug, the 
possibility of idiosyncratic reaction exists as discussed in the consent forms. 
 
Risk of administering oral AMPH. The major somatic side effects of AMPH administration are 
cardiovascular (hypertension, palpitations, tachycardia, bradycardia, orthostasis, syncope). General effects such 
as sweating, feeling warm or cold, chest tightness, nausea, diarrhea, vomiting, muscle and abdominal cramping, 
blurred vision, and headaches, have been reported. There is a rare risk of permanent neurologic damage and 
death as a result of cardiac arrest or stroke. One of the largest cohort (n=81 schizophrenic and n=7 control 
subjects) of published safety data for 0.5 mg/kg oral AMPH is a report by Angrsit et al.3 In this report, the 
greatest changes from baseline were observed over the first hour, and absolute readings peaked at the second 
hour, at which point mean BP indices in subjects who received AMPH were 31 mm Hg greater for SBP 
(systolic blood pressure), 11 mm Hg for DBP (diastolic blood pressure), and 18 mm Hg for MAP (mean arterial 
pressure). They also observed a mild but significant increase in heart rate (+ 10 beats per minute from baseline) 
after 3 hours in the healthy controls but not in subjects with schizophrenia. Several other groups have 
successfully used oral AMPH in the dose range of 0.43-0.5 mg/Kg in PET imaging studies, but they have not 
reported any adverse effects that required medical intervention.49, 143, 193, 194 In addition, we have not 
experienced any adverse effects in our pilot study.10 
 


 
 
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Risks of Radiation Exposure:  Participation in the PET imaging procedures involves exposure to small 
amounts of radiation. The EDE per single injection is 0.39 rems for [11C]DASB and 0.25 rems for 
[11C]raclopride. If the participants undergoes the maximum of 3 PET transmission scans, two [
11C]raclopride 
scans (10 mCi) and one [11C]DASB scan (15 mCi), the combined Effective Dose Equivalent (EDE) radiation 
exposure will be equivalent to a whole body dose of 1.23 rem (12.3mSv) (24.64% of the annual whole body 
radiation exposure (5 rems) permitted to radiation workers by federal guidelines). This amount is approximately 
7 times more than they would receive from the average person’s annual background radiation exposure, which 
is approximately 160 mrem (1.6 mSv). This radiation dose is not expected to produce any harmful effects, 
although there is no known minimum level of radiation exposure considered to be totally free of the risk of 
causing genetic defects or cancer. The risk associated with the amount of radiation exposure participants 
received in this study is considered low and comparable to everyday risks and similar to that from many 
commonly performed diagnostic Nuclear Medicine Procedures. If participants are especially concerned with 
radiation exposure or have had a lot of x-rays already, we advise that they should discuss their concern with 
their doctor. 
 
No PET studies will be performed on nursing, pregnant, or potentially pregnant women, as confirmed by serum 
pregnancy testing and a urine test. Adverse effects of the radiopharmaceuticals in the study have not been 
reported. However, the possibility exists for a rare reaction to any of the substances or procedures to which the 
subject is exposed. Insertion of catheters for intravenous injection of the PET radiopharmaceutical may be 
associated with slight pain or bruising at the puncture site. 
 
Risk of Breach of Confidentiality. Breaches in confidentiality could impact future insurability, employability, 
or reproduction plans, or have a negative impact on family relationships, and/or result in paternity suits or 
stigmatization. 
 
Risk of Alcohol Exposure: The production of the [11C]raclopride compound contains up to 10% alcohol. This 
would amount to a total injected alcohol amount of 2mL of ethanol. Two mL distributed over 5000 mL whole 
blood or 2500 mL plasma would represent 2/5000 = 0.4 x 10-3 (Blood alcohol Concentration BAC 0.0004) or 
2/2500 = 0.8 x 10-3 (BAC 0.0008) as maximum amount.  
 
Risks of psychological assessments: The main risks are that clinical interviews, cognitive testing and self-
report questionnaires are time consuming. Material elicited during interviews may be upsetting to some study 
participants. Others may find cognitive tasks to be challenging or frustrating. These assessments, however, 
rarely pose psychological risks for study participants. 
 
MRI: The subject may experience discomfort being in the confined environment of the scanner. 
 
Exposure to a high magnetic field. The only known hazard associated with exposure to a static high magnetic 
field is that the magnet exerts a strong force on ferromagnetic objects. For this reason, ferromagnetic objects are 
excluded from the vicinity of the magnet so that they will not become projectiles. In addition, each subject 
undergoes a standard screening procedure to determine whether they have any implanted materials that may 
pose a risk. If there is any doubt about the nature of any implanted material, the subject will not be scanned. 
Conventional MRI uses 1.5 Tesla (T) magnets. At the Keck Center for Functional MRI, the research systems 
for human use have field strengths of 3T. Imaging at these field strengths is not considered a significant risk 
according to FDA guidelines. 
 
Heating from radiofrequency (RF) pulses. The RF pulses that are used for creating the MR signal deposit 
some energy in the body in the form of heat, but no ionizing radiation is used with MRI. For the same pulse 


 
 
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sequence, the RF power deposited is higher at higher magnetic field strengths. However, the pulse sequences 
we will use at 3T has relatively low power depositions. In the future pulse sequences with higher RF power 
depositions may be developed, but we will insure that the power deposited is always below the FDA guidelines. 
 
Peripheral nerve stimulation from rapidly switched magnetic fields (dB/dt). Magnetic field gradients are 
switched on and off during imaging to encode the spatial distribution of the MR signal. Gradient switching rate 
depends on the gradient coil used, but does not depend on field strength. For this reason, the gradient switching 
rates will be similar to those for the 1.5 T scanners we have used in the past, and these rates will not exceed 
FDA recommendations. The FDA guideline states that a significant risk is involved only when “dB/dt sufficient 
to produce severe discomfort or painful stimulation” is used. All of the MRI studies performed in the past at 3T 
systems at UCSD are well below this threshold.  
 
Acoustic noise. Acoustic noise is always an unwanted side effect of MR imaging. As currents are pulsed 
through the gradient coils within the magnetic field, the system acts like a loudspeaker, making a repetitive 
tapping sound. At the higher field strengths (3T) the acoustic noise is increased. In all our studies subjects will 
wear ear plugs to reduce the noise to a comfortable, safe level. The FDA guideline for a significant risk due to 
acoustic noise is “peak acoustic noise over 140 dB”, and we will insure that the acoustic levels remain well 
below this value. 
 
Acquisition of Eye Blink Rate. The main risks associated with acquisition of eye blink data are associated 
with time consumption. Participants may become bored or irritated having to sit still and hold a fixation on a 
computer screen for 5 minutes. However, acquisition of this data should cause minimal risk to the research 
participant.  
 
15. RISK MANAGEMENT PROCEDURES AND ADEQUACY OF RESOURCES 
It is our experience that ED subjects and CW will be willing to cooperate with such studies. These studies have 
not been psychologically traumatic to ED patients in the past. It should be noted that ED subjects are often 
motivated by altruistic feelings and are usually cooperative with studies that serve to develop a better 
understanding understanding of EDs. We do not feel that these studies pose any significant psychological risk 
for the patients. 
 
Risks of Psychological and Cognitive Assessments. While most study participants will find the clinical 
interviewing process to be a positive experience, some may become anxious or tearful because of the personal 
nature of the questions. Clinical interviewers will exercise caution and sensitivity and terminate the interview as 
necessary in order to protect the emotional well-being of the study participant. Similarly, study participants who 
experience frustration during cognitive assessments will be reassured that they are there to do their best and that 
it does not matter how well they score. They will be encouraged to continue but allowed to stop if continued 
distress is experienced. If the subject does not want to talk about any of her feelings during the study, she does 
not have to so, and she can tell the interviewer she does not want to talk about her feelings. 
 
Risks of Venipuncture and Blood Sampling. We have a firm policy to only attempt venipuncture a maximum 
of twice on one occasion. In addition, we allow adequate time for the procedure, as necessitated by the 
individual subject. Very rarely will a subject be so anxious about venipuncture that these studies are not 
feasible. The taking of a blood sample may cause some discomfort. The CTRI nurse and the study staff will 
monitor the subjects’ condition closely to minimize any discomfort. 
 
MRI Related Risks. Typically, 3 Tesla scanners have been measured to produce noise between 122-131 db.59 
The potential risk of hearing loss associated with the noise generated during MRI is eliminated by using ear 
plugs (rated to reduce noise by 32 dB) and through the use of headphones (rated to reduce noise 30 dB). 


 
 
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Subjects will be strongly encouraged to move slowly when entering or exiting the magnetic field. The scanner 
bed has been designed to slowly move the subject so as to minimize the possibility of vertigo. RF-induced local 
heating is unlikely due to the software requirement that subject’s weight is accurately recorded and used in 
determining the appropriate changes in gradients. Subjects are warned of the possibility of mild electric 
stimulation and are monitored throughout the session. Exclusions will be made for the following: cardiac 
pacemaker, metal fragments in eyes/skin/body (shrapnel), history of being a metal worker/welder, history of 
eye surgery/eyes washed out because of metal, aortic aneurysm clips, prosthesis, by-pass surgery/coronary 
artery clips, hearing aid, heart valve replacement, subjects with an IUD (birth control device), a shunt 
(ventricular or spinal), electrodes, metal plates/pins/screws/wires, or neuro/bio-stimulators (TENS unit), vision 
problems uncorrectable with lenses, claustrophobia, inability to lie still on one’s back for approximately 30 
minutes, prior neurosurgery, older tattoos with metal dyes, unwillingness to remove nose, ear, tongue or face 
jewelry, braces or permanent dental retainers, and women with a positive pregnancy test or currently lactating. 
    In addition, computers and the interfacing devices will be checked regularly for proper and safe operation. 
Similarly, study participants will be asked questions pertaining to fear of closed spaces during the screening 
stage. However, should the participant become claustrophobic during the study or for any reason be unable to 
endure remaining in the scanner, the study will be terminated and the participant will be removed from the 
scanner. In addition, a pregnancy test will be performed within 24 hours of the study. No studies will be 
performed on pregnant or potentially pregnant women. If there is a possibility of metal being present in the 
participant’s body, the participant will be asked to undergo an x-ray study to rule out the presence of metal. The 
participant will be required to sign an additional consent form to undergo the x-ray study. 
 
In order to minimize the risk of fear of closed spaces while in the MR scanner, patients will be extensively 
interviewed and informed about the nature of the task. If, at any point in during the scanning, the subject 
expresses increasing discomfort, the PI will immediately intervene and terminate the scanning procedure 
 
Exposure to high magnetic fields: All subjects will be screened twice before they will be allowed to enter the 
MRI facilities. Any non-removable magnetic material will automatically exclude subjects. All staff is regularly 
trained in MRI safety procedures by the PI. 
 
Heating from radiofrequency (RF) pulses: The MRI pulse sequences that will be used are discussed prior to 
usage by the MR physicists and the director of the Center for Magnetic Resonance Imaging (CMR) with respect 
to potential heating effects. The physicists at the CMR regularly test pulse sequences on phantom objects for 
heating effects. 
 
Acoustic noise: Subjects will be instructed to wear earplugs or headsets that reduce the noise by about 20-40 
dB. Subjects will be instructed to indicate if the noise is a source of physical or psychological discomfort. If 
this were to occur the experiment will be terminated immediately. 
 
PET and Radiation related issues The use of [11C] radioligands in this research proposal is considered to be 
generally safe and effective as approved by the University of California, San Diego Radioactive Drug Research 
Committee in accordance with Food and Drug Association regulation 21 CFR 361.1. No PET studies will be 
performed on pregnant or potentially pregnant women, as confirmed by pregnancy testing performed within 24 
hours prior to each PET scanning session. The total Occupational Dose Limit / EDE for adults, as regulated by 
the US Nuclear Regulatory Commission is 5.0 rem per year. Thus, for the three studies the EDE is about 
24.64% of the radiation dose (5 rem) permitted on an annual basis to radiation workers by federal regulations 
(21 Code of Federal Regulations (CFR) 361.1. If an X-ray study is required to rule out the presence of metallic 
fragments, the maximum radiation dose to the involved body area will be 0.3 rems (a unit of radiation dosage), 
with minimum exposure of the other areas of the body. In order to restrict the yearly cumulative exposure to 


 
 
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radiation as outlined in FDA 21.361.1, all subjects exposed to radiation in the work place are excluded, as well 
as subjects exposed to nuclear medicine procedures during the previous year, including research protocols. In 
case of idiosyncratic reactions to the radiotracers, a physician is present at each experiment and will be 
available at all times during the study and an emergency cart will be in close proximity. 
 
Risk of Alcohol Exposure: The radiotracer that is injected will contain a very small amount of alcohol that is 
1/1000 of what is allowed for driving a car in most states. This amount is minimal (Blood alcohol 
Concentration BAC 0.0004). The common legal limit for driving is a BAC of 0.8. In most cases the injected 
dose will be below. We do not expect that the subject will even recognize any effects from this amount of 
alcohol; however, we discourage subjects with a history of alcohol dependence from participating in order to 
avoid the risk of relapse. 
 
Participant Monitoring on AMPH: Subjects with a history of hypertension or any heart disease will be 
excluded. Only subjects who are normotensive (100/70>BP<120/80) and have a HR above 55 bpm at 
screening, on the day of study before the 1st [11C]raclopride scan, as well as when measured 15 minutes after 
the 1st [11C]raclopride scan when subject will lay supine for 5 minutes in a quiet room and have BP and HR 
measured, and then stand for 1 minute when HR and BP will be repeated, will receive amphetamine. As 
amphetamine cross-reacts with street drugs such as cocaine, a rapid drug screen will be performed on the day of 
the scan. The dextroamphetamine will be administered to the subject by a physician familiar with the protocol 
(study physician, Dr. Ursula Bailer). A study physician will be available to monitor the subject until discharge. 
In order to monitor possible side effects of amphetamine including cardiovascular (hypertension, palpitations, 
tachycardia, bradycardia, orthostasis, syncope) as well as general effects such as sweating, feeling warm or 
cold, chest tightness, nausea, diarrhea, vomiting muscle and abdominal cramping, blurred vision and headaches, 
blood pressure and heart rate will be recorded every two minutes for the first 15 minutes after amphetamine 
administration, then every five minutes for 30 minutes, then every 15 minutes thereafter (up to at least 180 min) 
and then hourly until discharge. In addition, a participant will be asked to fill out an adverse event questionnaire 
after amphetamine ingestion in the following intervals: 10 min, 20 min, 30 min, 45 min, 60 min, 90 min, 120 
min, 150 min and 180 min. If the patient has a SBP>190 or DBP>130 for greater than 5 minutes after ingestion 
of AMPH, then treatment with oral labetalol (200-400 mg) will be initiated. Sublingual nitroglycerin (150-600 
mcg) will be administered if the patient complains of chest pain. All changes from a laying to a sitting, laying 
to a standing, or sitting to a standing position of the participants will be assisted by the staff on site. Participants 
will be requested to drink at least 1.5 liter of water between standardized breakfast and end of the 2nd scan. If 
the patient has psychomotor activation or behavioral symptoms suggestive of a hypomanic state, they will be 
treated with oral lorazepam 2 mg. If symptoms of nausea, diarrhea, muscle and abdominal cramping, or 
headaches occur and are persisting and becoming intolerable for the participant, we will provide respective 
medication (including antiemetic medication, spasmolytics and pain medication) based on the individual 
clinical severity and assessed by the PI and study physician, Dr. Ursula Bailer. All these medications will be 
stored at the UCSD NeuroPET center for emergency management. Following emergency treatment with these 
medications, the appropriate routine medical care will be initiated and provided. If any of the above side effects 
persist for more than 1 hour, despite the respective medication administered as outlined below, or intensify, the 
participant will be sent to the nearest Emergency Department. After a syncopal event the participant will be 
sent to the nearest Emergency Department immediately. Following the scans, the subject will receive: a) 
physical exam; b) vital signs measurement; c) mental status exam and d) EKG 
  Transfer Criteria: The subject will be transferred from the UCSD PET center to the UCSD Eating Disorder 
Treatment and Research Center once they meet the following criteria upon evaluation by a study physician: a 
blood pressure of less than 150/90 mm Hg; a heart rate of less than 110 BPM; no behavioral abnormalities.  
   Discharge Criteria: After a minimum of 6 hours of observation following drug ingestion, the subject will be 
medically discharged from the UCSD Eating Disorder Treatment and Research Center only if they meet the 
following criteria upon evaluation by a study physician: a) a blood pressure (BP) of less than 20 mm Hg above 


 
 
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their baseline reading for systolic and diastolic BP or less than 150/90 (whichever reading is lower); b) a heart 
rate of less than 20 BPM above their baseline or 100 (whichever reading is lower); c) no reported subjective 
effects from the AMPH; d) no adverse events to the AMPH; e) a normal physical exam; f) a normal mental 
status exam. Most of the REC AN and BN will travel to San Diego for this study. We will establish a policy that 
they are required to stay the night after the study and will be discharged to travel home the next day. For the 
subjects that live in San Diego, we will ask a relative to drive them home after being discharged from the study. 
 
Confidentiality. To minimize possible risk of breach of confidentiality, each study participant will be assigned, 
upon entry into the study, a numeric code which will be used as the identifier for subsequent research related 
activities. All information collected, including self-report questionnaires, psychological assessments, and 
imaging data are identified solely by these numbers without any personal identifiers. Only strictly anonymous 
data will be entered into the database and used for statistical analysis. Access to the numbering system will be 
limited to the principal investigators, Drs. Bailer and Kaye, and their research staff involved in the study. 
Research files will be kept in locked quarters and made available only to qualified personnel for research 
purposes. No verbal or written information concerning a subject will be released to anyone without expressed 
written consent by the subject. 
If blood samples are obtained for genetic sampling, all samples will be labeled by code numbers only and 
identifiable only by the PIs of this protocol, as knowledge of genetic research data could potentially impact 
future insurability, employability, or reproduction plans; or have a negative impact on family relationships; 
and/or result in shame or embarrassment. 
 
Others. Unanticipated findings of potential medical significance uncovered during the course of the study, 
including a positive pregnancy test or an abnormal MRI, will be reported to the PIs. The study participant will 
be informed of the test result and then referred to her physician. If the participant does not have a regular 
physician, an appropriate referral will be made. If the participant does not have a regular physician, an 
appropriate referral will be made. In the unlikely event that a subject is injured during the study, she will 
receive care from the University of California as needed to treat the injury. 
 
 
16. PRIVACY AND CONFIDENTIALITY CONSIDERATIONS INCLUDING DATA ACCESS AND MANAGEMENT 
To minimize possible risk of breach of confidentiality, each study participant will be assigned, upon entry into the 
study, a numeric code which will be used as the identifier for subsequent research related activities. All 
information collected, including self-report questionnaires, psychological assessments and imaging data are 
identified solely by these numbers without any personal identifiers. Only strictly anonymous data will be entered 
into the database and used for statistical analysis. Access to the numbering system will be limited to the principal 
investigator, Drs. Kaye and Bailer, and the research staff involved in the study. Research files will be kept in 
locked quarters and made available only to qualified personnel for research purposes. No verbal or written 
information concerning a subject will be released to anyone without expressed written consent by the subject. 
A data and safety monitoring plan will be implemented with close supervision by the principal investigators 
over all research-related activities. Drs. Bailer and Kaye will meet weekly with their research staff to review 
recruitment issues, data collection and entry and assess the adequacy of procedures to ensure subject privacy 
and confidentiality. More specifically, the data safety and monitoring plan will involve 1) evaluation of the 
progress of the research study, e.g., assessing data quality and timeliness of participant recruitment, accrual and 
retention; 2) review of the outcome and adverse event data to determine whether there is any change to the 
anticipated benefit-to-risk ratio of study participation and determination of whether the study should continue 
as originally designed, be changed or terminated; 3) assessment of external factors or relevant information that 
may have an impact on the ethics of the research or safety of study participants; and 4) review of study 
procedures designed to protect the privacy of the research subjects and the confidentiality of their research data. 
In addition, we will use a Data Safety Monitoring Board consisting entirely of personnel not associated with the 


 
 
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study, provided by the UCSD’s CTRI. In the event of an adverse event, our research staff will immediately 
communicate with Drs. Bailer and Kaye, as well as the IRB, in compliance with IRB policy for reporting 
adverse events. All fatal or immediately life-threatening events as well as unanticipated problems (UPRs) will 
be reported in writing to the IRB as soon as possible and no later than 10 working days after discovery and in 
compliance with UCSD Human Research Protection Program Institutional Review Board Standard Operating 
Policies and Procedures (Section 3.13). The IRB will determine appropriate actions for mitigating unexpected 
problems. UPRs involving risks to human subjects or others will be promptly reported to OHRP, FDA, and the 
appropriate University officials. In addition, adverse events will be reported annually as a part of the 
Continuing Review in compliance with UCSD Human Research Protection Program Institutional Review 
Board Standard Operating Policies and Procedures (Section 3.11). If, during the course of the study, changes or 
modifications to the study protocol become necessary to ensure continued confidentiality measures, or to ensure 
the level of risk associated with this study, the IRB will be notified immediately. 
 
17. POTENTIAL BENEFITS 
Subjects participating in this study will benefit from the screening procedures that include a careful 
examination of the patient's psychiatric condition. Subjects will be paid for their participation since subjects 
will not accrue any other direct benefit for their participation in this study. Both experimental and control 
subjects will receive remuneration for their participation in these studies. Many subjects work or attend school, 
so that participation in this study will mean that they will have to take time off from these responsibilities. This 
payment is to serve as an incentive for subject participation and to reimburse travel, lost wages, and expenses 
(e.g., parking). Although the individual subjects may not receive any benefit beyond financial remuneration, the 
data generated by this project could significantly enhance our knowledge about the risk factors for EDs, and 
pave the way for new clinical treatments for these disorders. Study participants may also gain satisfaction from 
the knowledge that they are contributing to a better understanding of brain function and potentially to the 
etiology of a psychiatric illness. There is little in the way of proven treatments for ED, particularly AN. 
Consequently, this is a costly and often chronic disorder for many. A better understanding of the 
pathophysiology of AN and BN is likely to lead to better therapies. 
 
18. RISK/BENEFIT RATIO 
The information gathered in this study will contribute to understanding 5-HT and DA neuronal circuit function 
in REC ED subjects. This will help identify disease specific disturbances and hopefully lead to identify more 
effective pharmacologic treatment for EDs. In addition this study seeks to determine correlations of behavioral 
state and trait variables with 5-HTT and DA receptor activity. This will be helpful for both the study of ED 
pathology as well as the study of normal behavior-biology interrelationships. Eating disorders such as anorexia 
and bulimia nervosa are often chronic with high morbidity and mortality, and individuals and families incur 
enormous health care expenses. We strongly believe that the potential benefits of understanding of the 
pathology of ED outweigh the potential risks. 
 
19. EXPENSE TO PARTICIPANT 
There will be no fees or charges to the subject for any of the medical procedures or for the PET or MRI or 
evaluations required for the study, questionnaires or assessments. 
 
20. COMPENSATION FOR PARTICIPATION 
Subjects will be compensated $375.00 for participation in each of the [11C]DASB PET scan and the 1st 
[11C]raclopride scan, for a total of $1250.00 if they completed also the 2nd [11C]raclopride scan after ingestion 
of amphetamine. Consented participants who do not meet all criteria will be paid $10 for completing just the 
written assessments, and $25.00 for completing the preliminary subjective assessments and physician 
interview. If a participant is ruled ineligible after completing the entire screening process with interviews, 
assessments, physical, labs and EKG, they will be compensated $50.00 for their time. 


 
 
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21. PRIVILEGES/CERTIFICATIONS/LICENSES AND RESEARCH TEAM RESPONSIBILITIES 
Walter H. Kaye, M. D., Professor of Psychiatry, is Director of the Eating Disorders Program at University of 
California, San Diego. These studies are a continuation of research protocols devised and carried out by Dr. Kaye 
on eating disorder patients since 1978.  Dr. Kaye has published more than 300 papers on eating disorders and is 
board certified in psychiatry and board eligible in neurology.  
 
Ursula F. Bailer, M.D., Assistant Clinical Professor, Department of Psychiatry, University of California San 
Diego, and Associate Professor of Psychiatry at the Medical University of Vienna, Department of Psychiatry and 
Psychotherapy, and Director of the Outpatient Clinic for Eating Disorders and Eating Disorder Research Program 
at the Medical University of Vienna, Austria. Dr. Bailer has extensive experience in PET analysis and modeling, 
including the aforementioned radiologands since almost ten years. Furthermore, Dr. Bailer has over 14 years of 
extensive experience in diagnosis, treatment and research of eating disorders in adolescents and adults. She is 
author on more than 50 scientific peer reviewed publications and 10 books /book chapters. 
 
Julie Price, Ph.D. is a Professor of Radiology, Director, PET Pharmacokinetic Modeling, at the Athinoula A. 
Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Member of the Faculty of 
Radiology, Harvard Medical School. Dr. Price has extensive experience in integrated approaches to the 
analyses of multiple intra-subject neuroimaging measures (e.g. blood flow, neuroreceptor binding) in studies of 
medical illness, neuropsychiatric disorders, and aging. She is an expert in PET modeling procedures for several 
radiotracers. Dr. Price has collaborated with Drs. Bailer and Kaye on PET studies in anorexia and bulimia 
nervosa at the University of Pittsburgh, and closely worked with Dr. Bailer on data analysis and interpretation 
of data for several PET projects. Dr. Price will provide expertise with regard to PET modeling, data analysis 
and interpretation. 
 
Brian Lopresti, MSNE, is Instructor of Radiology.   Mr. Lopresti is a nuclear engineer with more than 20 years 
of experience spanning PET radiopharmaceutical discovery and development, medical physics, nuclear 
instrumentation and radiation detection methods, tracer kinetic analyses, and quantitative PET data analysis.  
Mr. Lopresti’s research efforts have focused on the development and analysis of PET radiotracers and methods 
for assessing neurodegenerative disease pathology, neuroinflammation, and neurotransmitter dysfunction in 
human subjects, having authored or co-authored more than 60 publications in this area.  Since 2003, Mr. 
Lopresti has been responsible for directing preclinical PET research efforts at the University of Pittsburgh PET 
Facility, for which the use of non-human primate models of CNS diseases is an emphasis.  More recently. Mr. 
Lopresti was been appointed as Head of  PET Methodology and Data Analysis.   In this role, Mr. Lopresti has 
oversight of all data analysis activities relating to PET image data collected at the University of Pittsburgh PET 
Facility.    
 
Monte S. Buchsbaum, M.D., Distinguished Professor of Psychiatry and Radiology in March 2009. He heads the 
UCSD NeuroPET Center and leads an effort in developing an expanded research effort with positron emission 
tomography. Since 1980, the primary focus of Dr. Buchsbaum's research has been brain imaging, combining 
positron emission tomography, computerized EEG and evoked potential brain mapping, and later magnetic 
resonance imaging and diffusion tensor imaging. While in the Intramural Research Program at the National 
Institute of Mental Health, Dr. Buchsbaum published some of the first PET studies in psychiatry. In 1982, Dr. 
Buchsbaum left the NIMH to head the Brain Imaging Center at the University of California, Irvine (UCI) and 
carried out studies on the prefrontal cortex in schizophrenia using FDG-PET and EEG. In 1992, Dr. Buchsbaum 
moved to New York to head the Neuroscience PET laboratory, focusing on pharmacological response and PET-
FDG. In 1998 he published the first report on diffusion tensor imaging in schizophrenia, extending his work on 
potential deficits in the prefrontal cortex in schizophrenia. He is Editor of Psychiatry Research and Co-Editor of 
Psychiatry Research: Neuroimaging. He has published over 485 research reports in scientific journals, the 
majority on positron emission tomography. He is included in the Institute of Scientific Information data base as 


 
 
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one of the most highly-cited scientists (ISIHighlyCited.com). 
 
Carl Hoh, M.D. Associate Professor of Radiology, Division Chief of Nuclear Medicine at the University of 
California, San Diego. The quantitative PET research protocols have been a performed by Dr. Hoh since his 
training in Nuclear Medicine & PET at UCLA from 1989. Dr. Hoh has multiple publications on quantitative PET 
imaging. 
 
Kishore Kumar Kotta, Ph.D., Staff Research Associate IV. Department of Radiology, UCSD Center for 
Molecular Imaging, University of California, San Diego, Ca 
Kishore K. Kotta obtained his Ph.D., in Synthetic Organic Chemistry from Department of Chemistry, 
University of Akron, OH and has more than 15 years of research experience in the areas of Synthetic Organic 
Chemistry, Medicinal Chemistry, Drug Delivery, and Radio Chemistry. His contributions to the field of 
chemistry resulted in many publications in various international journals as well as scientific meetings.  He has 
been working in Radiochemistry lab at University of California, San Diego since 2010 developing new PET 
radiopharmaceuticals for clinical studies.  
 
 
22. BIBLIOGRAPHY 
 
1 
American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders, 4 
edn. American Psychiatric Association: Washington D.C. 
 
2 
Anderluh MB, Tchanturia K, Rabe-Hesketh S, Treasure J (2003). Childhood obsessive-compulsive 
personality traits in adult women with eating disorders: defining a broader eating disorder phenotype. 
The American journal of psychiatry 160: 242-247. 
 
3 
Angrist B, Sanfilipo M, Wolkin A (2001). Cardiovascular effects of 0.5 milligrams per kilogram oral d-
amphetamine and possible attenuation by haloperidol. Clinical neuropharmacology 24: 139-144. 
 
4 
Aron A, Poldrack R (2006). Cortical and subcortical contributions to Stop signal response inhibition: 
role of the subthalamic nucleus. The Journal of neuroscience : the official journal of the Society for 
Neuroscience 26: 2424-2433. 
 
5 
Aron A (2011). From reactive to proactive and selective control: developing a richer model for stopping 
inappropriate responses. Biol Psych 69: e55-e68. 
 
6 
Attia E, Haiman C, Walsh BT, Flater SR (1998). Does fluoxetine augment the inpatient treatment of 
anorexia nervosa? Am J Psychiatry 155: 548-551. 
 
7 
Attia E, Wolk S, Cooper T, Glasofer D, Walsh B (2005). Plasma tryptophan during weight restoration 
in patients with anorexia nervosa. Biol Psychiatry 57: 674-678. 
 
8 
Avena N, Bocarsly M (2012). Dysregulation of brain reward systems in eating disorders: 
Neurochemical information from animal models of binge eating, bulimia nervosa, and anorexia nervosa. 
Neuropharmacology 63: 87-96. 
 
9 
Bailer U, Frank G, Price J, Meltzer C, Becker C, Mathis C et al (2012). Interaction between serotonin 
transporter and dopamine D2/D3 receptor radioligand measures is associated with harm avoidant 
symptoms in anorexia and bulimia nervosa. Psych Res Neuroimaging 211: 160-168. 


 
 
Biomedical IRB Application Instructions 
Page 27 
 
10 
Bailer U, Narendran R, Frankle W, Himes M, Duvvuri V, Mathis C et al (2012). Amphetamine induced 
dopamine release increases anxiety in individuals recovered from anorexia nervosa. Int J Eat Disord 45: 
263-271. 
 
11 
Bailer UF, Price JC, Meltzer CC, Mathis CA, Frank GK, Weissfeld L et al (2004). Altered 5-HT2A 
receptor binding after recovery from bulimia-type anorexia nervosa: relationships to harm avoidance 
and drive for thinness. Neuropsychopharmacology 29: 1143-1155. 
 
12 
Bailer UF, Frank GK, Henry SE, Price JC, Meltzer CC, Weissfeld L et al (2005). Altered brain 
serotonin 5-HT1A receptor binding after recovery from anorexia nervosa measured by positron emission 
tomography and [11C]WAY100635. Archives of general psychiatry 62: 1032-1041. 
 
13 
Bailer UF, Frank G, Henry S, Price J, Meltzer C, Mathis C et al (2007). Exaggerated 5-HT1A but normal 
5-HT2A receptor activity in individuals ill with anorexia nervosa. Biological Psychiatry 61: 1090-1099. 
 
14 
Bailer UF, Frank G, Henry S, Price J, Meltzer CC, Becker C et al (2007). Serotonin transporter binding 
after recovery from eating disorders. Psychopharmacology 195: 315-324. 
 
15 
Barbarich N, McConaha C, Gaskill J, LaVia M, Frank GK, Brooks S et al (2004). An open trial of 
olanzapine in anorexia nervosa. J Clin Psychiatry 65: 1480-1482. 
 
16 
Barrett ES (1983). The biological basis of impulsiveness: the significance of timing and rhythm. 
Personality & Individual Differences 4: 387-391. 
 
17 
Bassareo V, Di Chiara G (1999). Differential responsiveness of dopamine transmission to food-stimuli 
in nucleus accumbens shell/core compartments. Neuroscience 89: 637-641. 
 
18 
Beck AT, Ward M, Mendelson M, Mock J, Erbaugh J (1961). An Inventory for measuring depression. 
Archives of general psychiatry 4: 561-571. 
 
19 
Bello N, Coughlin J, Redgrave G, Moran T, Guarda A (2010). Oral sensory and cephalic hormonal 
responses to fat and non-fat liquids in bulimia nervosa. Physiol Behav 99: 611-617. 
 
20 
Bergen A, Yeager M, Welch R, Haque K, Ganjei JK, Mazzanti C et al (2005). Association of multiple 
DRD2 polymorphisms with anorexia nervosa. Neuropsychopharmacology 30: 1703-1710. 
 
21 
Berrettini W (2000). Genetics of psychiatric disease. Annual review of nutrition 51: 465-479. 
 
22 
Bissada H, Tasca G, Barber A, Bradwejn J (2008). Olanzapine in the treatment of low body weight and 
obsessive thinking in women with anorexia nervosa: A randomized, double-blind, placebo-controlled 
trial. Am J Psych 165: 1281-1288. 
 
23 
Blundell JE (1984). Serotonin and appetite. Neuropharmacology 23: 1537-1551. 
 
24 
Boachie A, Goldfield G, Spettigue W (2003). Olanzapine use as an adjunctive treatment for hospitalized 
children with anorexia nervosa: case reports. Int J Eat Disord 33: 98-103. 
 
25 
Bochove M, Haegen LN, W, Verguts T (2013). Blinking predicts enhanced cognitive control. Cogn 


 
 
Biomedical IRB Application Instructions 
Page 28 
Affect Behav Neurosci 13: 346-354. 
 
26 
Bosanac P, Burrows G, Norman T (2003). Olanzapine in anorexia nervosa. Aust N Z J Med 37: 494. 
 
27 
Bosanac P, Kurlender S, Norman T, Hallasm K, Wesnes K, Manktelow T et al (2007). An open-label 
study of quetiapine in anorexia nervosa. Hum Psychopharmacol 22: 223-230. 
 
28 
Brambilla F, Garcia CF, S, Daga GF, A, Santonastaso P, Ramaciotti C, Bondi E et al (2007). 
Olanzapine therapy in anorexia nervosa: psychobiological effects. International clinical 
psychopharmacology 22: 197-204. 
 
29 
Breier A, Su TP, Saunders R, Carson RE, Kolachana BS, de Bartolomeis A et al (1997). Schizophrenia 
is associated with elevated amphetamine-induced synaptic dopamine concentrations: evidence from a 
novel positron emission tomography method. Proceedings of the National Academy of Sciences of the 
United States of America 94: 2569-2574. 
 
30 
Brewerton TD, Jimerson DC (1996). Studies of serotonin function in anorexia nervosa. Psychiatry Res 
62: 31-42. 
 
31 
Broft A, Shingleton R, Kaufman J, Liu F, Kumar D, Slifstein M et al (2012). Striatal dopamine in 
bulimia nervosa: A pet imaging study. Int J Eat Disord 45: 648-656. 
 
32 
Bulik C, Sullivan PF, Tozzi F, Furberg H, Lichtenstein P, Pedersen NL (2006). Prevalence, heritability 
and prospective risk factors for anorexia nervosa. Archives of general psychiatry 63: 305-312. 
 
33 
Bulik C, Hebebrand J, Keski-Rahkonen A, Klump K, Reichborn-Kjennerud KS, Mazzeo S et al (2007). 
Genetic epidemiology, endophenotypes, and eating disorder classification. Int J Eat Disord S52-S60. 
 
34 
Bulik CM, Berkman ND, Brownley KA, Sedway JA, Lohr KN (2007). Anorexia nervosa treatment: a 
systematic review of randomized controlled trials. Int J Eat Disord 40: 310-320. 
 
35 
Calero-Elvira A, Krug I, Davis K, Lopez C, Fernandez-Aranda F, Treasure J (2009). Meta-analysis on 
drugs in people with eating disorders. Eur Eat Disord Rev 17: 243-259. 
 
36 
Cassin S, von Ranson K (2005). Personality and eating disorders: a decade in review. Clinical 
Psychology Review 25: 895-916. 
 
37 
Chen K, Reiman R, Caselli R, Bandy D, Ayutyanonta N, Alexander G (2009). Linking functional and 
structural brain images with multivariate network analyses: A novel application of the partial least 
square method. Neuroimage 47: 602-610. 
 
38 
Cheng F, Kuo J, Chia L, Dryhurst G (1996). Elevated 5-S-cysteinyldopamine/homovanillic acid ratio 
and reduced homovanillic acid in cerebrospinal fluid: possible markers for and potential insights into 
the pathoetiology of Parkinson's disease Journal of neural transmission 103: 433-446. 
 
39 
Cloninger C, Przybeck T, Svrakic D, Wetzel R (1994). The Temperament and Character Inventory 
(TCI): A guide to its development and use: St. Louis pp 19-28. 
 
40 
Cloninger CR (1987). A systematic method for clinical description and classification of personality 


 
 
Biomedical IRB Application Instructions 
Page 29 
variants. A proposal. Archives of general psychiatry 44: 573-588. 
 
41 
Cloninger CR, Svrakic DM, Przybeck TR (1993). A psychobiological model of temperament and 
character. Archives of general psychiatry 50: 975-990. 
 
42 
Cools R, Roberts A, Robbins T (2008). Serotoninergic regulation of emotional and behavioural control 
processes. Trends in Cognitive Sciences 12: 31-40. 
 
43 
Dale A, Sereno M (1993). Improved localization of cortical activity by combining EEG and MEG with 
MRI cortical surface reconstruction: A linear approach. Journal of cognitive neuroscience 5: 162-176. 
 
44 
Dale A, Fischl B, Sereno M (1999). Cortical surface-based analysis. I. Segmentation and surface 
reconstruction. Neuroimage 9: 179-194. 
 
45 
Daw ND, Kakade S, Dayan P (2002). Opponent interactions between serotonin and dopamine. Neural 
networks : the official journal of the International Neural Network Society 15: 603-616. 
 
46 
De Wit H, Enggasser J, Richards J (2002). Acute administration of d-amphetamine decreases 
impulsivity in healthy volunteers. Neuropsychopharmacology : official publication of the American 
College of Neuropsychopharmacology 27: 813-825. 
 
47 
Delgado M, Nystrom L, Fissel C, Noll D, Fiez J (2000). Tracking the hemodynamic responses to 
reward and punishment in the striatum. J Neurophysiol 84: 3072-3077. 
 
48 
Dennis K, Le Grange D, Bremer J (2006). Olanzapine use in adolescent anorexia nervosa. Eating and 
weight disorders : EWD 11: e53-56. 
 
49 
Drevets W, Gautier C, Price J, Kupfer D, Kinahan P, Grace A et al (2001). Amphetamine-induced 
dopamine release in human ventral striatum correlates with euphoria. Biological Psychiatry 49: 81-96. 
 
50 
Ellison AR, Fong J (1998). Neuroimaging in Eating Disorders. In: Hoek HW, Treasure JL, Katzman 
MA (eds). Neurobiology in the treatment of eating disorders. John Wiley & Sons LTd.: Chichester. pp 
255-269. 
 
51 
Ercan E, Copkunol H, Cykoethlu S, Varan A (2003). Olanzapine treatment of an adolescent girl with 
anorexia nervosa. Hum Psychopharmacol 18: 401-403. 
 
52 
Fairbanks L, Melega W, Jorgensen M, Kaplan J, McGuire M (2001). Social impulsivity inversely 
associated with CSF 5-HIAA and fluoxetine exposure in vervet monkeys. Journal of 
Neuropschopharmacology 24: 370-378. 
 
53 
Ferguson CP, La Via MC, Crossan PJ, Kaye WH (1999). Are serotonin selective reuptake inhibitors 
effective in underweight anorexia nervosa? Int J Eat Disord 25: 11-17. 
 
54 
Fischl B, Sereno M, Dale A (1999). Cortical surface-based analysis. II: Inflation, flattening, and a 
surface-based coordinate system. Neuroimage 9: 195-207. 
 
55 
Fischl B, Dale A (2000). Measuring the thickness of the human cerebral cortex from magnetic 
resonance images. Proc Natl Acad Sci 97: 11050-11055. 


 
 
Biomedical IRB Application Instructions 
Page 30 
 
56 
Fischl B, van der Kouwe A, Destrieux C, Halgren E, Segonne F, Salat D et al (2004). Automatically 
parcellating the human cerebral cortex. Cereb Cortex 14: 11-22. 
 
57 
Fisher P, Price J, Coleman R, Ziolko S, Becker C, Moses-Kolko E et al (2009). Medial prefrontal cortex 
5-HT2A density is correlated with amygdala reactivity, response habituation and functional coupling. 
Cereb Cortex 19: 2499-2507. 
 
58 
Fisman S, Steele M, Short J, Byrne T, Short J, Lavalle C (1996). Case study: anorexia nervosa and 
autistic disorder in an adolescent girl. Journal of the American Academy of Child and Adolescent 
Psychiatry 35: 937-940. 
 
59 
Foster J, Hall D, Summerfield A, Palmer A, Bowtell R (2000). Sound-level measurements and 
calculations of safe noise dosage during EPI at 3 T. J Magn Res Imaging 12: 157-163. 
 
60 
Frank G, Bailer UF, Henry S, Drevets W, Meltzer CC, Price JC et al (2005). Increased dopamine 
D2/D3 receptor binding after recovery from anorexia nervosa measured by positron emission 
tomography and [11C]raclopride. Biological Psychiatry 58: 908-912. 
 
61 
Frank G, Kaye W (2012). Current status of functional imaging in eating disorders. Int J Eat Disord 45: 
723-736. 
 
62 
Frank G, Reynolds J, Shott M, Jappe L, Yang T, Tregellas J et al (2012). Anorexia nervosa and obesity 
are associated with opposite brain reward response. Neuropsychopharmacology : official publication of 
the American College of Neuropsychopharmacology 37: 2031-2046. 
 
63 
Frank GK, Kaye WH, Weltzin TE, Perel J, Moss H, McConaha C et al (2001). Altered response to 
meta-chlorophenylpiperazine in anorexia nervosa: support for a persistent alteration of serotonin activity 
after short-term weight restoration. The International journal of eating disorders 30: 57-68. 
 
64 
Frank GK, Kaye WH, Meltzer CC, Price JC, Greer P, McConaha C et al (2002). Reduced 5-HT2A 
receptor binding after recovery from anorexia nervosa. Biological Psychiatry 52: 896-906. 
 
65 
Frankle W, Slifstein M, Gunn R, Huang Y, Hwang D, Darr E et al (2006). Estimation of serotonin 
transporter parameters with 11C-DASB in healthy humans: reproducibility and comparison of methods. 
Journal of nuclear medicine : official publication, Society of Nuclear Medicine 47: 815-826. 
 
66 
Friederich HC, Kumari V, Uher R, Riga M, Schmidt U, Campbell IC et al (2006). Differential 
motivational responses to food and pleasurable cues in anorexia and bulimia nervosa: a startle reflex 
paradigm. Psychological Medicine 36: 1327-1335. 
 
67 
Frost RO, Marten P, Lahart C, Rosenblate R (1990). The dimensions of perfectionism. Cognitive 
Therapy & Research 14: 449-468. 
 
68 
Gadalla T, Piran N (2007). Co-occurrence of eating disorders and alcohol use disorders in women: a 
meta analysis. Arch Womens Ment Health 10: 133-140. 
 
69 
Galimberti E, Martoni R, Cavallini M, Erzegovesi S, Bellodi L (2011). Motor inhibition and cognitive 
flexibility in eating disorder subtypes.  In Press. Progress in Neuro-Psychopharmacology & Biological 


 
 
Biomedical IRB Application Instructions 
Page 31 
Psychiatry Res. 
 
70 
Garner DM (1991). The Eating Disorders Inventory-2 Manual. Odessa, Florida: Psychological 
Assessment Resources Psychological Assessment Resources: Odessa FL. 
 
71 
Geyer MA (1996). Serotonergic functions in arousal and motor activity. Behavioural Brain Research 
73: 31. 
 
72 
Ghahremani D, Lee B, Robertson C, tabibnia G, Morgan A, De Shelter N et al (2012). Striatal 
Dopamine D2/D3 Receptors Mediate Response Inhibition and Related Activity in Frontostriatal Neural 
Circuitry in Humans. The Journal of neuroscience : the official journal of the Society for Neuroscience 
32: 7316-7324. 
 
73 
Groman S, Lee B, Seu E, James A, Feiler K, Mandelkern M (2012). Dysregulation of D₂-mediated 
dopamine transmission in monkeys after chronic escalating methamphetamine exposure. The Journal of 
neuroscience : the official journal of the Society for Neuroscience 32: 5843-5852. 
 
74 
Haber S, Knutson B (2010). The reward circuit: Linking primate anatomy and human imaging. 
Neuropsychopharmacology : official publication of the American College of 
Neuropsychopharmacology 35: 4-26. 
 
75 
Halford J, Cooper G, Dovey T (2004). The pharmacology of human appetite expression. Current drug 
targets 5: 221-240. 
 
76 
Hansen L (1999). Olanzapine in the treatment of anorexia nervosa. The British journal of psychiatry : 
the journal of mental science 175: 592. 
 
77 
Herzog DB, Keller MB, Lavori PW, Kenny GM, Sacks NR (1992). The prevalence of personality 
disorders in 210 women with eating disorders. Journal of Clinical Psychiatry 53: 147-152. 
 
78 
Higley JD, Linnoila M (1997). Low central nervous system serotonergic activity is traitlike and 
correlates with impulsive behavior.  A nonhuman primate model investigating genetic and 
environmental influences on neurotransmission. Annals of the New York Academy of Science 836: 39-
56. 
 
79 
Hudson J, Hiripi E, Pope H, Kessler R (2007). The prevalence and correlates of eating disorders in the 
National Comorbidity Survey Replication. Biol Psych 61: 348-358. 
 
80 
Innis R, Cunningham V, Delforge J, Fujita M, Gjedde A, Gunn R et al (2007). Consensus nomenclature 
for in vivo imaging of reversibly binding radioligands. Journal of Cerebral Blood Flow and Metabolism 
27: 1533-1539. 
 
81 
Jensen VS, Mejlhede A (2000). Anorexia nervosa: treatment with olanzapine. The British journal of 
psychiatry : the journal of mental science 177: 87. 
 
82 
Jimerson DC, Lesem MD, Kaye WH, Brewerton TD (1992). Low serotonin and dopamine metabolite 
concentrations in cerebrospinal fluid from bulimic patients with frequent binge episodes. Archives of 
general psychiatry 49: 132-138. 
 


 
 
Biomedical IRB Application Instructions 
Page 32 
83 
Jimerson DC, Wolfe BE, Brotman AW, Metzger ED (1996). Medications in the treatment of eating 
disorders. The Psychiatric clinics of North America 19: 739-754. 
 
84 
Kaasinen V, Nurmi E, Bergman J, Eskola J, Solin O, Sonninen P et al (2001). Personality traits and 
brain dopaminergic function in Parkinson's disease. Proceedings of the National Academy of Science 
USA 98: 13272-13277. 
 
85 
Karson C (1983). Spontaneous eye blink rates and dopaminergic systems. Brain : a journal of 
neurology 106: 643-653. 
 
86 
Kaye W, Strober M, Klump KL (2003). Neurobiology of eating disorders. In: Martin A, Scahill L, 
Charney DS, Leckman JF (eds). Pediatric Psychopharmacology, Principles & Practice. Oxford 
University Press: New York. pp 224-237. 
 
87 
Kaye W, Wagner A, Frank G, UF B (2006). Review of brain imaging in anorexia and bulimia nervosa. 
In: Mitchell J, Wonderlich S, Steiger H, deZwaan M (eds). AED Annual Review of Eating Disorders, 
Part 2. Radcliffe Publishing Ltd: Abingdon UK. pp 113-130. 
 
88 
Kaye W (2008). Neurobiology of anorexia and bulimia nervosa. Physiology & behavior 94: 121-135. 
 
89 
Kaye W, Strober M, Jimerson D (2008). The neurobiology of eating disorders. In: Charney D, Nestler E 
(eds). The Neurobiology of Mental Illness (3rd edition). Oxford Press: New York. 
 
90 
Kaye W, Fudge J, Paulus M (2009). New insight into symptoms and neurocircuit function of anorexia 
nervosa. Nat Rev Neurosci 10: 573-584. 
 
91 
Kaye W, Wierenga C, Bailer U, Simmons A, Wagner A, Bischoff-Grethe A (2013). Does a shared 
neurobiology for foods and drugs of abuse contribute to extremes of food ingestion in anorexia and 
bulimia nervosa? Biological Psychiatry 73: 836-842. 
 
92 
Kaye WH, Ebert MH, Raleigh M, Lake R (1984). Abnormalities in CNS monoamine metabolism in 
anorexia nervosa. Archives of general psychiatry 41: 350-355. 
 
93 
Kaye WH, Ballenger JC, Lydiard RB, Stuart GW, Laraia MT, O'Neil P et al (1990). CSF monoamine 
levels in normal-weight bulimia: evidence for abnormal noradrenergic activity. The American journal of 
psychiatry 147: 225-229. 
 
94 
Kaye WH, Gwirtsman HE, George DT, Ebert MH (1991). Altered serotonin activity in anorexia nervosa 
after long-term weight restoration. Does elevated cerebrospinal fluid 5-hydroxyindoleacetic acid level 
correlate with rigid and obsessive behavior? Archives of general psychiatry 48: 556-562. 
 
95 
Kaye WH, Greeno CG, Moss H, Fernstrom J, Fernstrom M, Lilenfeld LR et al (1998). Alterations in 
serotonin activity and psychiatric symptomatology after recovery from bulimia nervosa. Archives of 
general psychiatry 55: 927-935. 
 
96 
Kaye WH, Frank GK, McConaha C (1999). Altered dopamine activity after recovery from restricting-
type anorexia nervosa. Neuropsychopharmacology 21: 503-506. 
 
97 
Kaye WH, Frank GK, Meltzer CC, Price JC, McConaha CW, Crossan PJ et al (2001). Altered serotonin 


 
 
Biomedical IRB Application Instructions 
Page 33 
2A receptor activity in women who have recovered from bulimia nervosa. The American journal of 
psychiatry 158: 1152-1155. 
 
98 
Kaye WH, Nagata T, Weltzin TE, Hsu LK, Sokol MS, McConaha C et al (2001). Double-blind placebo-
controlled administration of fluoxetine in restricting- and restricting-purging-type anorexia nervosa. Biol 
Psychiatry 49: 644-652. 
 
99 
Kaye WH, Barbarich NC, Putnam K, Gendall KA, Fernstrom J, Fernstrom M et al (2003). Anxiolytic 
effects of acute tryptophan depletion in anorexia nervosa. The International journal of eating disorders 
33: 257-267. 
 
100 
Keel PK, Mitchell JE, Miller KB, Davis TL, Crow SJ (1999). Long-term outcome of bulimia nervosa. 
Archives of general psychiatry 56: 63-69. 
 
101 
Kendler KS, MacLean C, Neale M, Kessler R, Heath A, Eaves L (1991). The genetic epidemiology of 
bulimia nervosa. Am J Psychiatry 148: 1627-1637. 
 
102 
Klein D, Walsh B (2003). Eating disorders. Int Rev Psychiatry 15: 205-216. 
 
103 
Kleven M, Koek W (1996). Differential effects of direct and indirect dopamine agonists on eye blink 
rate in cynomolgus monkeys. The Journal of pharmacology and experimental therapeutics 279: 1211-
1219. 
 
104 
Kupietz SB, B, Angrist B, Windsberg B (1985). Psychostimulant plasma concentration and learning 
performance. J Clin Psychopharmacol 5: 293-295. 
 
105 
La Via MC, Gray N, Kaye WH (2000). Case reports of olanzapine treatment of anorexia nervosa. Int J 
Eat Disord 27: 363-366. 
 
106 
Lammertsma AA, Hume SP (1996). Simplified reference tissue model for PET receptor studies. 
Neuroimage 4: 153-158. 
 
107 
Laruelle M, Abi-Dargham A, Van Dyck C, Rosenblatt W, Zea-Ponce Y, Zoghbi S et al (1995). SPECT 
imaging of striatal dopamine release after amphetamine challenge. Journal of nuclear medicine : official 
publication, Society of Nuclear Medicine 36: 1182-1190. 
 
108 
Laruelle M, Iyer R, Al-Tikriti M, Zea-Ponce Y, Malison R, Zoghbi S (1997). Microdialysis and SPECT 
measurements of amphetamine-induced dopamine release in nonhuman primates. Synapse 25: 1-14. 
 
109 
Lawrence A (2003). Impaired visual discrimination learning in anorexia nervosa. Appetite 20: 85-89. 
 
110 
Leibowitz SF, Shor-Posner G (1986). Brain serotonin and eating behavior. Appetite 7: 1-14. 
 
111 
Li C, Morgan P, Matuskey D, Abdelghany O, Luo X, Chang JR, BJ et al (2010). Biological markers of 
the effects of intravenous methylphenidate on improving inhibitory control in cocaine-dependent 
patients. PNAS 107: 14455-14459. 
 
112 
Lilenfeld L, Wonderlich S, Riso LP, Crosby R, Mitchell J (2006). Eating disorders and personality: a 
methodological and empirical review. Clinical Psychology Review 26: 299-320. 


 
 
Biomedical IRB Application Instructions 
Page 34 
 
113 
Lilenfeld LR, Kaye WH, Greeno CG, Merikangas KR, Plotnicov K, Pollice C et al (1998). A controlled 
family study of anorexia nervosa and bulimia nervosa: psychiatric disorders in first-degree relatives and 
effects of proband comorbidity. Archives of general psychiatry 55: 603-610. 
 
114 
Little R, Rubin D (1987). Statistical analysis with missing data. New York, John Wiley. 
 
115 
Logan G, Cowan W (1984). On the ability to inhibit thought and action: A theory of an act of control. 
Psychological Review 91: 295-327. 
 
116 
Logan J, Fowler J, Volkow N, Wang G, Ding Y, Alexoff D (1996). Distribution volume ratios without 
blood sampling from grahical analysis of PET data. Journal of cerebral blood flow and metabolism : 
official journal of the International Society of Cerebral Blood Flow and Metabolism 16: 834-840. 
 
117 
Lucki I (1998). The spectrum of behaviors influenced by serotonin. Biological Psychiatry 44: 151-162. 
 
118 
Malina A, Gaskill J, McConaha C, Frank GK, LaVia M, Scholar L et al (2003). Olanzapine treatment of 
anorexia nervosa: a restrospective study. Int J Eat Disord 33: 234-237. 
 
119 
Mann JJ (1999). Role of the serotonergic system in the pathogenesis of major depression and suicidal 
behavior. Neuropsychopharmacology 21: 99S-105S. 
 
120 
Marsh R, Steinglass J, Gerber A, Graziano O'Leary K, Wang Z, Murphy D et al (2009). Deficient 
activity in the neural systems that mediate self-regulatory control in bulimia nervosa. Archives of 
general psychiatry 66: 51-63. 
 
121 
Martinez D, Slifstein M, Broft A, Mawlawi O, Hwang D, Huang Y et al (2003). Imaging human 
mesolimbic dopamine transmission with positron emission tomography.  Part II: amphetamine-induced 
dopamine release in the functional subdivisions of the striatum. Journal of Cerebral Blood Flow and 
Metabolism 23: 285-300. 
 
122 
Martinez D, Gil R, Slifstein M, Hwang D, Huang Y, Perez A et al (2005). Alcohol dependence is 
associated with blunted dopamine transmission in the ventral striatum. Biol Psychiatry 58: 779-786. 
 
123 
Martinez D, Narendran R, Foltin R, Slifstein M, Hwang D, Broft A (2007). Amphetamine-induced 
dopamine release: markedly blunted in cocaine dependence and predictive of the choice to self-
administer cocaine. Am J Psychiatry 164: 622-629. 
 
124 
McKenzie JM, Joyce PR (1992). Hospitalization for anorexia nervosa. Int J Eat Disord 11: 235-241. 
 
125 
McNair D, Lorr M, Droppleman L (2005). Profile of Mood States (POMS) Manual. Multi-Health 
Systems, Inc.: Canada. 
 
126 
Mehler-Wex C, romanos M, Kirchheiner J, Schulze U (2008). Atypical antipsychotics in severe 
anorexia nervosa in children and adolescents-review and case reports. Eur Eat Disord Rev 16: 100-108. 
 
127 
Mehler C, Wewetzer C, Schulze U, Warnke A, Theisen F, Dittmann RW (2001). Olanzapine in children 
and adolescents with chronic anorexia nervosa. A study of five cases. Eur Child Adolesc Psychiatry 10: 
151-157. 


 
 
Biomedical IRB Application Instructions 
Page 35 
 
128 
Metropolitan Life Insurance Company (1959). New weight standards for men and women. Stat Bull 
Metrop Insur Co. pp 1-11. 
 
129 
Mitchell J, Crow S, Peterson CW, S, Crosby R (1998). Feeding laboratory studies in patients with 
eating disorders: A review. Int J Eat Disord 24: 115-124. 
 
130 
Mondraty N, Birmingham C, Touyz SW, Sundakov V, Chapman L, Beaumont P (2005). Randomized 
controlled trial of olanzapine in the treatment of cognitions in anorexia nervosa. Australas Psychiatry 
13: 72-75. 
 
131 
Montague R, Hyman S, Cohen J (2004). Computational roles for dopamine in behavioural control. 
Nature 431: 760-767. 
 
132 
Newman-Toker J (2000). Risperidone in anorexia nervosa. J Am Acad Child Adolesc Psychiatry 39: 
941-942. 
 
133 
NICE (2004). Core interventions in the treatment and management of anorexia nervosa, bulimia 
nervosa and related eating disorders (Clinical Guideline 9)  http://www.nice.org.uk. National 
Collaborating Centre for Medical Health: London. 
 
134 
Oberndorfer T, Frank G, Fudge J, Simmons A, Paulus M, Wagner A et al (2013). Altered insula 
response to sweet taste processing after recovery from anorexia and bulimia nervosa. Am J Psychiatry 
170: 1143-1151. 
 
135 
Oldfield R (1971). The assessment and analysis of handedness: the Edinburgh inventory. 
Neuropsychologia 9: 97-113. 
 
136 
Pessoa L, Padmala S, Kenzer A, Bauer A (2012). Interactions between cognition and emotion during 
response inhibition. Emotion 12: 192-197. 
 
137 
Phillips M, Drevets WR, SL, Lane R (2003). Neurobiology of emotion perception I: The neural basis of 
normal emotion perception Biol Psych 54: 504-514. 
 
138 
Pichika R, Buschsbaum M, Bailer U, Hoh C, DeCastro A, Buschsbaum B et al (2011). Serotonin 
transporter binding after recovery from bulimia nervosa. Int J Eat Disord 45: 345-352. 
 
139 
Powers P, Bannon Y, Eubanks R, McCormick T (2007). Quetiapine in anorexia nervosa patients: an 
open label outpatient pilot study. Int J Eat Disord 40: 21-26. 
 
140 
Powers PS, Santana CA, Bannon YS (2002). Olanzapine in the treatment of anorexia nervosa: an open 
label trial. The International journal of eating disorders 32: 146-154. 
 
141 
Price C, Ziolko S, Klunk W, Mathis C, Lopresti B, Bi W (2006). Multivariate analysis of PIB PET 
imaging studies. Neuroimage 31(S2): T34. 
 
142 
Ramaekers J, Kuypers K (2006). Acute effects of 3,4-methylenedioxymethamphetamine (MDMA) on 
behavioral measures of impulsivity: alone and in combination with alcohol. Neuropsychopharmacology 
: official publication of the American College of Neuropsychopharmacology 31: 1048-1055. 


 
 
Biomedical IRB Application Instructions 
Page 36 
 
143 
Riccardi P, Li E, Ansari M, Zald D, Park S, Dawant B et al (2005). Amphetamine-induced displacement 
of [(18)F] fallypride in striatum and extrastriatal regions in humans. Neuropsychopharmacology. 
 
144 
Roberts M, Tchanturia K, Stahl D, Southgate L, Treasure J (2007). A systematic review and meta-
analysis of set-shifting ability in eating disorders. Psychol Med 37: 1075-1084. 
 
145 
Schienle A, Schafer A, Hermann A, Vaitl D (2008). Binge-eating disorder: Reward sensitivity and brain 
action to images of food. Biol Psych 65: 654-661. 
 
146 
Schultz W (2004). Neural coding of basic reward terms of animal learning theory, game theory, 
microeconomics and behavioural ecology. Science 14: 139-147. 
 
147 
Schweighofer N, Tanaka S, Doya K (2007). Serotonin and the evaluation of future rewards: theory, 
experiments, and possible neural mechanisms. Annals of the New York Academy of Science 1104: 289-
300. 
 
148 
Simon N, Montgomery K, Beas B, Mitchell M, LaSarge C, Mendez I et al (2011). Dopaminergic 
modulation of risky decision-making. The Journal of neuroscience : the official journal of the Society 
for Neuroscience 31: 17460-17470. 
 
149 
Smith KA, Morris JS, Friston KJ, Cowen PJ, Dolan RJ (1999). Brain mechanisms associated with 
depressive relapse and associated cognitive impairment following acute tryptophan depletion. British 
Journal of Psychiatry 174: 525-529. 
 
150 
Soreni N, Crosbie J, Ickowicz A, Schachar R (2009). Stop signal and Conners' continuous performance 
tasks: test--retest reliability of two inhibition measures in ADHD children. J Atten Disord 13: 137-143. 
 
151 
Soubrie P (1986). Reconciling the role of central serotonin neurons in human and animal behavior. 
Behavioral and Brain Sciences 9: 319-335. 
 
152 
Spielberger C, Gorsuch R, Lushene R (1970). STAI Manual for the State Trait Anxiety Inventory. 
Consulting Psychologists Press: Palo Alto, CA. 
 
153 
Steinglass J, Sysko R, Mayer L, Berner L, Schebendach J, Wang Y et al (2010). Pre-meal anxiety and 
food intake in anorexia nervosa. Appetite 55: 214-218. 
 
154 
Steinglass J, Albano A, Simpson H, Carpenter K, Schebendach J, Attia E (2012). Fear of food as a 
treatment target: Exposure and response prevention for anorexia nervosa in an open series. Int J Eat 
Disord 45: 615-621. 
 
155 
Steinglass JE, Walsh T (2004). Psychopharmacology of anorexia nervosa, bulimia nervosa, and binge 
eating disorder. In: Brewerton TD (ed). Clinical Handbook of  Eating Disorders: An Integrated 
Approach. Marcel Dekker: New York. pp 489-508. 
 
156 
Stice E (2002). Risk and maintenance factors for eating pathology: a meta-analytic review. 
Pychopharmacology Bulletin 128: 825-848. 
 
157 
Strober M (1995). Family-genetic perspectives on anorexia nervosa and bulimia nervosa. In: Brownell 


 
 
Biomedical IRB Application Instructions 
Page 37 
K, Fairburn C (eds). Eating Disorders and Obesity-A Comprehensive Handbook. The Guilford Press: 
New York. pp 212-218. 
 
158 
Strober M, Freeman R, DeAntonio M, Lampert C, Diamond J (1997). Does adjunctive fluoxetine 
influence the post-hospital course of restrictor-type anorexia nervosa? A 24-month prospective, 
longitudinal followup and comparison with historical controls. Psychopharmacology bulletin 33: 425-
431. 
 
159 
Strober M, Freeman R, Morrell W (1997). The long-term course of severe anorexia nervosa in 
adolescents: survival analysis of recovery, relapse, and outcome predictors over 10- 15 years in a 
prospective study. Int J Eat Disord 22: 339-360. 
 
160 
Strober M, Freeman R, Lampert C, Diamond J, Kaye W (2000). Controlled family study of anorexia 
nervosa and bulimia nervosa: evidence of shared liability and transmission of partial syndromes. Am J 
Psychiatry 157: 393-401. 
 
161 
Sullivan PF (1995). Mortality in anorexia nervosa. Am J Psychiatry 152: 1073-1074. 
 
162 
Svrakic DM, Whitehead C, Przybeck TR, Cloninger CR (1993). Differential diagnosis of personality 
disorders by the seven-factor model of temperament and character. Archives of general psychiatry 50: 
991-999. 
 
163 
Swerdlow N, Eastvold A, Karban B, Ploum Y, Stephany N, Geyer M et al (2002). Dopamine agonist 
effects on startle and sensorimotor gating in normal male subjects: time course studies. Psychopharm 
(Berl) 161: 189-201. 
 
164 
Talbot P, Frankle W, Hwang DH, Y, Suckow R, Slifstein M, Abi-Dargham A et al (2005). Effects of 
reduced endogenous 5-HT on the in vivo binding of the serotonin transporter radioligand 11C-DASB in 
healthy humans. Synapse 55: 164-175. 
 
165 
Taylor J, Elsworth J, Lawrence M, Sladek J, Roth R, Redmond D (1999). Spontaneous blink rates 
correlate with dopamine levels in the caudate nucleus of MPTP-treated monkeys. Experimental 
Neurology 158: 214-220. 
 
166 
Treasure J, Campbell I (1994). The case for biology in the aetiology of anorexia nervosa. Psychol Med 
24: 3-8. 
 
167 
Troendle J (1995). A stepwise resampling method of multiple hypothesis testing. Journal of the 
American Statistical Association 90: 370-378. 
 
168 
Trunko M, Schwartz T, Duvvuri V, Kaye W (2011). Aripiprazole in anorexia nervosa and low-weight 
bulimia nervosa: CASE REPORTS  Epub ahead of print. Int J Eat Disord 44: 269-275. 
 
169 
Uher R, Murphy T, Brammer M, Dalgleish T, Phillips M, Ng V et al (2004). Medial prefrontal cortex 
activity associated with symptom provocation in eating disorders. Am J Psychiatry 161: 1238-1246. 
 
170 
Vandereycken W, Pierloot R (1982). Pimozide combined with behavior therapy in the short-term 
treatment of anorexia nervosa. A double-blind placebo-controlled cross-over study. Acta psychiatrica 
Scandinavica 66: 445-450. 


 
 
Biomedical IRB Application Instructions 
Page 38 
 
171 
Vandereycken W (1984). Neuroleptics in the short-term treatment of anorexia nervosa. A double- blind 
placebo-controlled study with sulpiride. The British journal of psychiatry : the journal of mental science 
144: 288-292. 
 
172 
Verbreggen F, Chambers C, Logan G (2013). Fictitious inhibitory differences: How skewness and 
slowing distort the estimation of stopping latencies. Psychological Science 24: 352-362. 
 
173 
Vitousek K, Manke F (1994). Personality variables and disorders in anorexia nervosa and bulimia 
nervosa. J Abnorm Psychol 103: 137-147. 
 
174 
Volkow N, Wang G, Fowler J, Logan J, Gatley J, Hitzemann R (1997). Decreased striatal dopaminergic 
responsiveness in detoxified cocaine-dependent subjects. Nature 386: 830-833. 
 
175 
Volkow N, Wang G, Fowler J, Logan J, Gatley S, Wong C et al (1999). Reinforcing effects of 
psychostimulants in humans are associated with increases in brain dopamine and occupancy of D(2) 
receptors. J Pharmacol Exp Ther 291: 409-415. 
 
176 
Volkow N, Fowler J, Wang G, Baler R, Telang F (2009). Imaging dopamine's role in drug abuse and 
addiction. Neuropharmacology 56, Suppl 1: 3-8. 
 
177 
Volkow N, Wang G, Fowler J, Tomasi A (2012). Addiction circuitry in the human brain. Ann Rev 
Pharmacol Toxicol 52: 321-336. 
 
178 
Volkow ND, Wang G, Fowler J, Logan j, Jayne M, Franceschi D et al (2002). "Nonhedonic" food 
motivation in humans involves dopamine in the dorsal striatum and methylephenidate amplifies this 
effect. Synapse 44: 175-180. 
 
179 
Wagner A, Barbarich N, Frank G, Bailer U, Weissfeld L, Henry S et al (2006). Personality traits after 
recovery from eating disorders:  Do subtypes differ? The International journal of eating disorders 39: 
276-284. 
 
180 
Wagner A, Aizenstein H, Venkatraman M, Fudge J, May J, Mazurkewicz L et al (2007). Altered reward 
processing in women recovered from anorexia nervosa. Am J Psychiatry 164: 1842-1849. 
 
181 
Wagner A, Aizenstein H, Frank GK, Figurski J, May JC, Putnam K et al (2008). Altered insula 
response to a taste stimulus in individuals recovered from restricting-type anorexia nervosa. 
Neuropsychopharmacology 33: 513-523. 
 
182 
Wagner A, Aizeinstein H, Venkatraman V, Bischoff-Grethe A, Fudge J, May J et al (2010). Altered 
striatal response to reward in bulimia nervosa after recovery. Int J Eat Disord 43: 289-294. 
 
183 
Walsh B, Kaplan A, Attia E, Olmsted M, Parides M, Carter J et al (2006). Fluoxetine After Weight 
Restoration in Anorexia Nervosa: A Randomized Controlled Trial. JAMA : the journal of the American 
Medical Association 295: 2605-2612. 
 
184 
Walsh BT (1991). Psychopharmacologic treatment of bulimia nervosa. J Clin Psychiatry 52 Suppl: 34-
38. 
 


 
 
Biomedical IRB Application Instructions 
Page 39 
185 
Walsh BT, Devlin MJ (1998). Eating disorders: progress and problems. Science 280: 1387-1390. 
 
186 
Walters EE, Kendler KS (1995). Anorexia nervosa and anorexic-like syndromes in a population-based 
female twin sample. The American journal of psychiatry 152: 64-71. 
 
187 
Wang T, Chou Y, Shiah I (2006). Combined treatment of olanzapine and mirtazapine in anorexia 
nervosa associated with major depression. Prog Neuropsychopharmacol Biol Psychiatry 30: 306-309. 
 
188 
Ward A, Brown N, Lightman S, Campbell IC, Treasure J (1998). Neuroendocrine, appetitive and 
behavioural responses to d-fenfluramine in women recovered from anorexia nervosa. British Journal of 
Psychiatry 172: 351-358. 
 
189 
Weltzin TE, Hsu LK, Pollice C, Kaye WH (1991). Feeding patterns in bulimia nervosa. Biol Psych 30: 
1093-1110. 
 
190 
Westergaard G, Suomi S, Chavanne T, Houser L, Hurley A, Cleveland A et al (2003). Physiological 
correlates of aggression and impulsivity in free-ranging female primates. Neuropsychopharmacology 
28: 1045-1055. 
 
191 
Willeit M, Ginovart N, Graff A, Rusjan P, Vitcu I, Houle S et al (2008). First human evidence of d-
amphetamine induced displacement of a D2/3 agonist radioligand: A [11C]-(+)-PHNO positron 
emission tomography study. Neuropsychopharmacology : official publication of the American College 
of Neuropsychopharmacology 33: 279-289. 
 
192 
Wolfe BE, Metzger ED, Jimerson DC (1997). Research update on serotonin function in bulimia nervosa 
and anorexia nervosa. Psychopharmacology bulletin 33: 345-354. 
 
193 
Wolkin A, Angrist B, Wolf AP, Brodie J, Wolkin B, Jaeger J et al (1987). Effects of amphetamine on 
local cerebral metabolism in normal and schizophrenic subjects as determined by positron emission 
tomography. Psychopharmacology 92: 241-246. 
 
194 
Wolkin A, Sanfilipo M, Angrist B, Duncan E, Wieland S, Wolf A et al (1994). Acute d-amphetamine 
challenge in schozophrenia: effects on cerebral glucose utilization and clinical symptomatology. 
Psychol Med 35: 649-657. 
 
195 
Xu L, Mazumdar S, Price J (2007). Coviariate adjustment in parietal least squares for the extraction of 
the spatial-temporal pattern from positron emission tomogrpahy data. Stat Methodology 4: 44-63. 
 
196 
Zastrow A, Kaiser SS, C, Walthe S, Herzog W, Tchanturia K, Belger A et al (2009). Neural correlates 
of impaired cognitive-behavioral flexibility in anorexia nervosa. Am J Psychiatry  166: 608-616. 
 
197 
Zhou D, Thompson W, Siegle G (2009). MATLAB toolbox for functional connectivity. Neuroimage 
47: 1590-1607. 
 
198 
Zuckerman M (1978). Dimensions of sensation seeking. J Consult Clin Psychol 46: 139-149. 
 
 
23. FUNDING SUPPORT FOR THIS STUDY 
Funded by the National Institute of Mental Health (1R01MH092793-01A1;3R01MH092793-03S1) going 


 
 
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through UCSD as an existing grant. Dates of Support: 04/01/2011 – 02/29/2016 Fiscal Contact: Ashley Harlow 
 
24. BIOLOGICAL MATERIALS TRANSFER AGREEMENT 
Biological Materials will be kept under locked conditions at UCSD Eating Disorder Treatment and Research 
Center with Dr. Kaye for an indefinite time where they will be submitted for analysis with DNA and 
lymphocyte extraction. No biological materials transfer agreement is necessary. 
 
25. INVESTIGATIONAL DRUG FACT SHEET AND IND/IDE HOLDER 
Not Applicable 
 
 
26. IMPACT ON STAFF 
Nursing staff will be utilized in accordance with CTRI policies. 
 
27. CONFLICT OF INTEREST 
Not Applicable  
 
28. SUPPLEMENTAL INSTRUCTIONS FOR CANCER-RELATED STUDIES 
Not Applicable 
 
29. OTHER APPROVALS/REGULATED MATERIALS 
Not applicable 
 
30. PROCEDURES FOR SURROGATE CONSENT AND/OR DECISIONAL CAPACITY ASSESSMENT 
Not Applicable 
 
 
 
Version date: May 11, 2011