bluuebunny/crossref_metadata_2025_split huggingface dataset:
1074 Fear Reactivity And Sleep In Trauma-Exposed Males And Females With And Without PTSD
Authors: Dukes C , Inslicht S , Hubachek S Q , Straus L , Ruoff L , Huie R , Felmingham K , Woodward S , Neylan T C , Richards A 
Published: May 2020

Abstract

Introduction
Sleep disturbance is considered central to mechanisms of PTSD development and maintenance, and fear learning protocols have been used as laboratory models to understand PTSD disease mechanisms. Some research indicates that fear learning may influence subsequent sleep, especially REM sleep, and that sleep may influence subsequent extinction. In this study, we examined the relationship of startle reactivity during conditioning and later extinction with objectively-measured sleep in PTSD-positive and negative subjects.

Methods
These analyses were performed as part of a larger study of PTSD and sleep. Thirty-four (34) trauma-exposed male and female participants with and without PTSD completed a fear-potentiated startle conditioning procedure at 9:45am, followed by a PSG-monitored nap (13:30-15:30), followed by an extinction protocol at 4:30pm. All visits were preceded by an adaptation nap visit at least 7 days prior. Eye-blink EMG was used to measure startle reactivity. Mixed-model analyses were performed in SPSS.

Results
PTSD-positive subjects had higher REM sleep duration (p&lt;.05) and a trend towards shorter REM sleep latency (p=.06). There were no other group or sex effects on standard PSG sleep parameters. During conditioning, PTSD-positive status was associated with higher startle reactivity across stimulus types (p&lt;.01), driven by increased reactivity in PTSD-positive vs. PTSD-negative females. A PTSD x sex interaction effect on startle reactivity showed the opposite effect in males (p&lt;.01). Higher startle reactivity during conditioning predicted longer sleep latency during the subsequent nap (p&lt;.05), but reactivity during conditioning and extinction did not otherwise show a relationship to standard PSG sleep measures.

Conclusion
These findings are consistent with previous research indicating REM sleep abnormalities as well as heightened fear responses in PTSD. While the observed relationship between higher startle and longer sleep latency is consistent with studies indicating that stress affects subsequent sleep, further research in larger samples is needed to understand causal mechanisms and to advance our understanding of sleep-PTSD mechanisms.

Support
VA Career Development Award-5IK2CX000871-05
1080 Self-reported Hyperarousal Predicts Lower Parasympathetic Activity During Slow-Wave Sleep In Trauma-exposed Individuals
Authors: Ragas T L , Oliver K I , Daffre C , Seo J , Gannon K , Pace-Schott E F 
Published: May 2020

Abstract

Introduction
Hyperarousal and abnormal autonomic functioning are among the core manifestations of posttraumatic stress disorder (PTSD). In this study, we examined the association of parasympathetic activity during slow wave sleep (SWS) with self-reported hyperarousal measures in recently traumatized individuals.

Methods
Individuals exposed to a PTSD Criterion-A trauma within the past 2 years (N=76) aged 18-40 (mean 24.06, SD 4.76), of whom 43% met DSM-5 criteria for PTSD, underwent a night of ambulatory polysomnography (PSG) following an acclimation night. ECG recordings during SWS-sleep periods of at least 5 min were analyzed for 2 parasympathetic indices: Root Mean Square of the Successive Differences (RMSSD) and High Frequency (0.14-0.4Hz) power (HF power) using Kubios software. Hyperarousal indices included the hyperarousal items from the PTSD Checklist for DSM-5 (PCL-5) excluding the sleep item #20 (PCLhyp), those from the Clinician-Administered PTSD Scale (CAPS-5) including sleep items (CAPShyp), as well as a published Hyperarousal Scale (HAS) and Hypervigilance Questionnaire (HVQ). In addition, a Composite Hyperarousal Index (CHI) was computed from combined hyperarousal items on the PCL-5 and the CAPS-5 as well as the HAS total score.

Results
SWS RMSSD was negatively associated with PCLhyp (R = -.244, p = 0.035), CAPShyp (R = -.250, p = 0.03), CHI (R = -.280, p = 0.014), and HAS (R = -.229, p = 0.049). SWS HF power was negatively associated with CHI (R = -.227, p = 0.049).

Conclusion
The hyperarousal (Criterion E) symptoms of PTSD are associated with lowered parasympathetic tone during SWS across the spectrum of posttraumatic severity from resilient individuals to those diagnosed with PTSD.

Support
R01MH109638
0110 Fluctuations Across the Menstrual Cycle in Cardiac Autonomic Activity During Sleep and Wake May Affect Memory Consolidation
Authors: Sattari N , Simon K , Mednick S 
Published: May 2020

Abstract

Introduction
Prior studies have shown that benefits of sleep for memory consolidation may be influenced by menstrual phase. Menstrual phase also impact autonomic regulation during sleep, and autonomic activity has been recently shown to play a role in sleep-dependent memory consolidation.

Methods
We investigated the interaction of menstrual cycle and autonomic activity measured by heart rate-variability (HRV) on sleep-dependent memory consolidation among 18-healthy females. Using a within-subjects design, we investigated episodic memory improvement with a nap paradigm during two phases of women’s menstrual cycle: 1) perimenses: −5 to +5 days from menses-onset, and 2) non-perimenses: window outside of perimenses. Subjects completed the memory test before (Test1) and after (Test2) a 90-minute polysomnographically (PSG)-recorded nap. We recorded sleep and HRV during 5-minutes of wake, and during the nap. Next, we compared sleep, HRV (RMSSD and HFnu), and memory performance between the two menstrual phases.

Results
Sleep architecture did not differ between perimenses and non-perimenses. Women performed similarly on the memory task at Test 1 (all ps&gt;.061), but at Test 2, non-perimenses showed better performance (p = 0.02). Autonomically, perimenses had higher parasympathetic activity during wake (RMSSD-p = 0.04) and REM-sleep (HFnu-p = 0.04), compared with non-perimenses. Using bivariate correlations, we found positive associations between wake-HFnu and memory improvement (p = .02) during perimenses. In contrast, non-perimenses’ memory improvement was negatively correlated with wake-RMSSD (p &lt;.001). In perimenses, memory improvement was also positively associtated with REM-HFnu (p = .04). No associations were found between autonomic sleep activity and memory in non-perimenses phase.

Conclusion
Our findings indicate a role for autonomic activity in memory improvement in both sleep and wake that is modulated by the menstrual cycle. HRV measures of parasympathetic activity were higher during perimenses phase in wake and REM-sleep. Interestingly, the HRV measures showed opposing relations with memory improvement based on the phase of the menstrual cycle. In sum, women’s cardiac autonomic activity fluctuates by menstrual phase and it is possible that these fluctuations affect the magnitude and direction of sleep-related memory consolidation.

Support
Sattari et al., 2017; Genzel et al., 2012; de Zambotti et al., 2013; Whitehurst et al., 2016.
1086 Non-Linear Associations Between Depression and Sleep Duration in an International Sample of 16,997 Respondents
Authors: Bender A M , Babins-Wagner R , Laughton A 
Published: May 2020

Abstract

Introduction
Abnormal sleep duration is common in people with depression and can be both a risk-factor and a symptom of depression. Here we determine the prevalence of depression likelihood and assess associations between long and short sleep duration in an international convenience sample.

Methods
N=16,997 respondents (age range: 8-98y, mean age 39.7y ±13.1 SD; 43% female) completed the 10-item Harvard Department of Psychiatry National Depression Screening Day Scale (HANDS) online from October 7 to October 13, 2019. Higher total scores on the HANDS indicate higher likelihood of major depressive episode with scores &gt;8 indicate the presence of a major depressive disorder is likely. Additional questions were added to the survey including the question “During the past two weeks, how many hours of actual sleep did you average at night?” Answer choices ranged from “less than 5 hours” to “more than 10h” in half-hour increments.

Results
Respondents came from 115 different countries with the majority of respondents from Canada (48%) and the United States (38%). Sixty-four percent of the sample were recommended for further evaluation for depression. Of those recommended, 66% reported &lt;7h of sleep per night and 3% reported &gt;9h. Those who reported 7-9h of sleep per night had the lowest depression scores (9.2 points) compared to those who reported &lt;7h (11.8 points) and &gt;9h (13.7 points), F(2,15366)=434.81, p&lt;0.001. The amount of sleep associated with the lowest depression scores was 7.5h (8.6 points) with &lt;5h associated with the highest depression scores (15.5 points).

Conclusion
We found a high prevalence of depression likelihood in 64% of an international convenience sample, with 69% of those not meeting the recommended 7-9h of sleep per night. Both short and long sleep were associated with higher levels of depression with 7.5h of sleep associated with the lowest depression scores. Future research on depression should focus on sleep interventions aimed at improving both short and long sleep duration.

Support
N/A.
1096 Morning Wakefulness is Associated with Reduced Suicidal Ideation in a Nationally-Representative US Sample
Authors: Tubbs A , Khader W S , Fernandez F , Perlis M L , Chakravorty S , Grandner M A 
Published: May 2020

Abstract

Introduction
Nocturnal wakefulness is a unique risk factor for suicidal ideation in clinical as well as community samples. Preliminary data suggest that morning wakefulness may also be a protective factor against such thinking. However, these associations have not been explored in a nationally-representative dataset.

Methods
Data were collected from the 2015-2016 wave of the National Health and Nutrition Examination Survey. Participants reported typical bedtimes and waketimes. From these values, wakefulness during the night (00:00 to 05:59), morning (06:00 to 11:59), afternoon (12:00 to 17:59), and evening (18:00 to 23:59) was determined. Suicidal ideation was assessed by a question about “thoughts that you would be better off dead, or thoughts of hurting yourself in some way.” Ordinal logistic regression estimated the association between the number of hours awake at particular times of day and the frequency of suicidal ideation. Additional analyses adjusted for demographic factors and depressed mood.

Results
Out of 5133 respondents with available data, 125 reported suicidal ideation several days a week, 36 reported suicidal ideation more than half the days, and 29 reported suicidal ideation nearly every day. When controlling for demographics, morning wakefulness was associated with reduced frequency of suicidal ideation (OR: 0.69, 95% CI: [0.59,0.8]). Controlling for depressed mood attenuated, but did not eliminate, this association. Nocturnal wakefulness was not associated with suicidal ideation in this sample.

Conclusion
Using data from a nationally representative sample, morning wakefulness was associated with less frequent suicidal ideation. However, previous findings regarding nocturnal wakefulness were not replicated. The limited number of individuals in the sample endorsing both suicidal ideation and nighttime wakefulness may have insufficient power to detect an association.

Support
Dr. Grandner is supported by R01MD011600.
1100 Self-Monitoring Of PVT Performance In Healthy Adults And Individuals With MDD
Authors: Galli O , Goel N , Basner M , Detre J , Thase M , Sheline Y , Rao H , Dinges D , Gehrman P 
Published: May 2020

Abstract

Introduction
Negativity bias in depression has been repeatedly demonstrated in the judgment and decision-making literature. Research investigating the impact of sleep deprivation on self-evaluation of performance in healthy or depressed populations is limited. We examined 1) whether individuals with Major Depressive Disorder (MDD) exhibit a negativity bias in subjective ratings of performance on the Psychomotor Vigilance Task (PVT) as compared with healthy adults, and 2) the impact of total sleep deprivation (TSD) on these ratings.

Methods
N=33 individuals with MDD and n=9 healthy adults completed a 5-day study protocol including two baseline nights (B1-B2, 9h TIB), 36 hours of TSD, and one night of recovery sleep opportunity (Rec). The PVT was administered every 2-4 hours. A brief questionnaire was administered immediately prior to (PRE) and following (POST) the PVT, asking participants to estimate their average reaction time (RT) using a 9-point Likert-type scale. Mixed-effects models examined the impact of group (MDD, Control), protocol day (B1, B2, SD, Rec), and their interaction on objective PVT performance (mean RT) and subjective performance estimates (PRE and POST ratings).

Results
Mean RT was significantly slower during TSD (p&lt;0.001) for all participants. Individuals with MDD and healthy adults did not differ in objective PVT performance (p=0.25) across days. There was no significant interaction between group and protocol day (p=0.96). Both groups predicted slower RTs during TSD as compared with baseline or recovery days (PRE-PVT, p=0.006). Individuals with MDD anticipated slower RTs as compared with healthy adults (p=0.001). On POST-PVT estimates, all participants reported subjective poorer performance during TSD (p&lt;0.008). Individuals with MDD reported slower RTs as compared with healthy adults (p=0.002). Interaction effects between group and protocol day on PRE- and POST- performance ratings were not significant.

Conclusion
This project is the first to investigate subjective estimates of PVT performance in healthy and depressed individuals. Individuals with MDD subjectively reported slower response times as compared with control participants, despite similar objective performance. Depressive symptoms may be a potential confounder of subjective, but not objective, PVT performance.

Support
5R01MH107571
1103 Understanding the Role of Sleep as a Risk Factor for Suicidal Ideation in Active Duty Service Members
Authors: Paxton Willing M M , Pickett T C , Tate L L , Rhodes C , DeGraba T 
Published: May 2020

Abstract

Introduction
Suicide is an important public health concern with many factors contributing to increased risk. Sleep is one such factor that may elevate risk, yet this association is not well understood. By identifying the strongest sleep-related predictors of suicidal ideation (SI), providers may be able to better intervene and reduce risk of suicide.

Methods
Data were obtained from the clinical database at the National Intrepid Center of Excellence (NICoE). Patients were active duty service members, predominantly male, and with a mean age of 38. As part of standard care, patients receive a polysomnography sleep study and complete a battery of intake measures offering a comprehensive view of sleep. Individual symptoms were analyzed in an effort to understand the role of each sleep symptom within the context of the many other factors that may contribute to SI in service members.

Results
Of the many data points collected during polysomnography, only rapid eye movement (REM) sleep latency and minimum sleeping heart rate were related to SI. REM latency was associated with increased odds of SI, while minimum sleeping heart rate was related to decreased odds. Subjective reports of bad dreams, trauma-specific bad dreams, sleepiness, and sleep quality were related to increased odds of SI. Notably, subjective reports of sleep were associated with greater odds than objective measures. Traumatic nightmares had the greatest odds, with these patients being much more likely to have SI.

Conclusion
These results support the importance of considering sleep factors when evaluating SI in service members. Subjective sleep reports, specifically, appear to be particularly important, as they were associated with increased odds of SI. These findings focus on the role of individual sleep factors in increasing the odds of SI and suggest it is important to evaluate sleep in combination with comorbid conditions when conducting risk assessments.

Support
N/A
1109 Broadly Assessing Sleep Complaints In A Sample Of Patients With ADHD
Authors: Seewald M , Alio C , Rosenfield B , DiTomasso R , Muench A L , Rostain A L , Ramsay J , Klingman K , Perlis M L 
Published: May 2020

Abstract

Introduction
It is commonly observed in clinical settings that patients with ADHD regularly present with comorbid “sleep disturbances”. In the absence of broad based sleep disorders assessments, it is thought that this represents Delayed Sleep Phase Disorder (DSPD). Recently, a surveillance study was undertaken in a university-based, outpatient specialty clinic for adults with ADHD, by adding a comprehensive sleep disorders screener (SDS-CL-25) to the clinical intake procedures. These data were used to ascertain which sleep disorders symptoms are common in this clinical cohort.

Methods
SDS-CL-25 data were collected in 150 subjects (93/57 male/female, mean age 32.8, age range 18-79). The SDS-CL-25 is a 25 item instrument developed to screen for 13 sleep disorders at one time (Sleep Dx symptoms are endorsed on Likert-scales; 0 [never] 4 [&gt;5x/week]). For the purposes of this study, the percentage of subjects endorsing frequent symptomatology (sum of the percent of endorsements for columns 3 & 4)was calculated per symptom. Sums of &gt;20% were considered, a priori, to be of clinical significance.

Results
Patients endorsed: increased fatigue (59%); SL or WASO or EMA’s &gt;30 minutes (40%; 26%; 21%, respectively); late preferred time to bed (31%); work & school limits sleep opportunity (30%); variable time to and out of bed (27%); and snoring (21%). The average percent endorsement was 15% (range 0-59%).

Conclusion
These results suggest that, consistent with clinical observations, adult patients diagnosed with ADHD frequently endorse late preferred time to bed, variable sleep wake schedules, work/school limitations on sleep opportunity, and sleep onset problems that are accompanied by daytime fatigue. This constellation of symptoms is consistent with the notion that patients with ADHD tend to have comorbid DSPD. The high prevalence of middle and late insomnia was unexpected and suggests that Insomnia Disorder (proper) may also be a feature of ADHD.

Support
No support was provided for this abstract.
0113 Evaluating Closed-Loop Auditory Stimulation During Sleep as an Intervention to Improve Memory Consolidation Deficits in Schizophrenia
Authors: Baxter B , Kwok K , Talbot C , Zhu L , Mylonas D , Stickgold R , Manoach D 
Published: May 2020

Abstract

Introduction
Converging evidence supports the hypothesis that reduced sleep spindles and spindle-slow oscillation (SO) coordination contribute to cognitive deficits in schizophrenia. Closed-loop auditory stimulation in healthy adults increases sleep spindles and improves declarative memory consolidation. Here we investigated whether closed-loop auditory stimulation also improves sleep-dependent procedural memory consolidation as a first step towards an intervention in schizophrenia.

Methods
Thirteen healthy adults participated in two nap sessions (stimulation or detection only) with polysomnography in a counterbalanced order. Participants were trained on the finger tapping Motor Sequence Task (MST), which measures sleep-dependent motor procedural memory consolidation, prior to napping and were tested after awakening. We detected the negative peak of SOs during non-REM sleep and, in the stimulation condition, delivered 50ms of pink noise during the SO up-state.

Results
Auditory stimulation increased SOs and spindles during the SO up-state in a frontocentral cluster of electrodes 800-1200ms after stimulation compared to detection only (p&lt;0.05). Stimulation also showed promise for improving memory consolidation (33% increase in MST overnap improvement from detection-only) but this did not reach significance in this small sample and data collection is ongoing.

Conclusion
Auditory stimulation evoked coordinated spindle-SO events that mediate memory consolidation, but more subjects are needed to evaluate whether it also improves memory. If it does, we will test the effects of stimulation on sleep-dependent memory deficits in patients with schizophrenia. Closed-loop auditory stimulation shows promise as a safe, scalable intervention for cognitive deficits that can be implemented at home with commercially available devices.

Support
R01 MH67720 (DSM & RS), NIH-NHLBI 5T32HL007901-17 (BB), K24MH099421 (DSM), and Simons Foundation (DSM).
1118 Examining the Role of Serum and Exosomal Biomarkers in Symptoms of Fatigue and Daytime Sleepiness Following Traumatic Brain Injury
Authors: Leete J J , Pattinson C L , Guedes V A , Lai C , Devoto C , van der Merwe A , Lippa S , Shahim P , Moore B E , Chan L , Gill J 
Published: May 2020

Abstract

Introduction
Fatigue and daytime sleepiness are two of the most common chronic symptoms reported after traumatic brain injury (TBI). However, there is limited understanding of the pathophysiological mechanisms following TBI that result in these symptoms. Previous research has observed elevations in peripheral blood levels of proteins in TBI patients versus controls, including neurofilament light chain (NFL)—predominantly expressed in long myelinated subcortical axons—and glial fibrillary acidic protein (GFAP)—predominantly expressed in reactive astrocytes responding to central nervous system injuries. This study examines the relationship between serum and exosomal NFL and GFAP, and symptoms of fatigue and daytime sleepiness in TBI patients 1-year after injury.

Methods
Sixty-seven patients with TBIs ranging from mild to severe were included in this study. Blood samples were collected from all participants 1-year post TBI, with concentrations of GFAP and NFL measured in serum and exosomes using Single Molecule Array technology (Simoa), an ultrasensitive assay. Participants reported fatigue using the Fatigue Severity Scale (FSS), and daytime sleepiness using the Epworth Sleepiness Scale (ESS).

Results
A linear regression model of fatigue symptoms and exosomal NFL controlling for age revealed that fatigue was negatively associated with exosomal NFL concentrations (β = -.317, p = .041, ηp2 = -.343) and accounted for 20.2% of the change in NFL. Serum NFL concentrations were not associated with fatigue, nor were GFAP serum or exosomes. No significant associations were found between NFL, GFAP, and daytime sleepiness.

Conclusion
Our findings suggest that exosomal NFL may be related to mechanisms underlying TBI-related fatigue and the potential of NFL as a biomarker of fatigue. To our knowledge, this study is the first to examine the relationship between post-TBI NFL levels and fatigue symptoms. Further investigation into serum and exosome biomarkers of TBI-related fatigue and daytime sleepiness is warranted.

Support
National Institutes of Health and Center for Neuroscience and Regenerative Medicine