bluuebunny/crossref_metadata_2025_split huggingface dataset:
0287 Motivated Performance While Sleep Deprived: Neurobehavioral Correlates of Attentional Effort Deployment
Authors: Massar S A , Lim J , Sasmita K , Chee M W 
Published: May 2020

Abstract

Introduction
Sleep deprivation (SD) has a negative impact on the motivation to exert effort. This may contribute to the decline in attentional performance observed under SD. In this study we examined how SD affects motivated performance and effort-based decision making. Particularly, we used functional magnetic resonance imaging (fMRI) to uncover the neural mechanisms underlying the interplay between SD and motivated behavior.

Methods
Twenty-seven healthy subjects were tested once after a night of sleep in the lab (9h Time in Bed; Rested Wakefulness = RW), and once after a night of total sleep deprivation (SD). Participants performed an effortful attention task with different incentive levels (0, 10, or 50 cents/fast and correct response). Behavioral performance and fMRI data were collected during task performance. Subsequently, participants performed an effort-based choice task, during which they could choose to earn additional rewards for performing the attention task for a longer duration.

Results
As expected, attentional performance was worse in the SD session compared to the RW session. In addition, performance improved as a function of incentive level both in the RW and the SD session. This reward-effect was accompanied by increased activation in attention-related brain areas, and increased arousal-related thalamus activation. This reward-modulation was more extensive during RW than SD, particularly in the anterior cingulate cortex (ACC) and anterior insula (aIns; both areas involved in effort regulation). Results from the decision making task were less willing to perform the attention task for a further duration after SD compared to RW.

Conclusion
Results show that performance decline after SD is reward-dependent and willingness to perform is reduced. Reward modulation of attention-related brain activation is reduced, particularly in areas that are associated with effort regulation (i.e. ACC and aIns). These findings indicate that motivational factors contribute to decline of vigilance following sleep deprivation.

Support
This work was supported by grants awarded to Dr. Michael Chee from the National Medical Research Council (NMRC/STaR/0015/2013), and the Far East Organization.
0297 Relationship Between Sleepiness Symptoms Questionnaire Ratings and Psychomotor Vigilance Performance in a Total Sleep Deprivation Study
Authors: Skwara A K , Skeiky L , Van Dongen H , Hansen D A 
Published: May 2020

Abstract

Introduction
While measuring the neurobehavioral consequences of sleepiness is arguably best done with performance tasks providing objective assessments of impairment, this often proves challenging in real-world operational settings. Self-report instruments measuring subjective sleepiness provide a practical alternative, but field studies generally fail to show high correlation between objective and subjective assessments of impairment. The Sleepiness Symptoms Questionnaire (SSQ) is a self-report instrument developed to address this issue by asking about observable symptoms of sleepiness and (motor vehicle driving) performance impairment. In a laboratory sleep deprivation study, we compared SSQ sleepiness ratings to performance impairment on a 10min psychomotor vigilance test (PVT).

Methods
N=12 healthy normal sleepers (ages 21-39y, 6 females) participated in a 4-day in-laboratory study. After a baseline day (9h time in bed; 22:00-07:00), subjects underwent 38h total sleep deprivation (TSD) followed by a recovery day (9h time in bed; 22:00-07:00). As part of neurobehavioral testing throughout the experiment, subjects completed the SSQ and PVT back to back at 6.5h, 14.5h, 22.5h, and 30.5h TSD, and 6.5h after recovery sleep. Data from one subject were incomplete and discarded prior to analysis.

Results
As TSD progressed, the SSQ sleepiness ratings and the number of lapses (RTs&gt;500ms) on the PVT were elevated, with sleepiness and performance impairment peaking at 22.5h TSD. Both measures returned to baseline levels after recovery sleep. Mixed-effects analysis of covariance showed moderate correlation between SSQ ratings and PVT lapses (r=0.44, F1,43=24.1, p&lt;0.001).

Conclusion
Self-reported sleepiness on the SSQ reflected the expected homeostatic and circadian changes in sleep pressure during TSD and following recovery sleep, as did PVT performance impairment. The moderate correlation between subjective ratings on the SSQ, with its emphasis on observable sleepiness symptoms, and objective impairment on the PVT suggests that the SSQ may be a reasonably reliable instrument for measuring sleepiness under conditions of acute sleep deprivation.

Support
Jazz Pharmaceuticals
0305 Grey Matter Volumetric Differences are Predictive of Attentional Lapses During Sleep Deprivation
Authors: Vanuk J R , Raikes A C , Dailey N S , Grandner M A , Killgore W D 
Published: May 2020

Abstract

Introduction
Inter-individual differences in resistance to cognitive effects of sleep loss are well established and extend from basic vigilance capacities to more nuanced emotional processing. Neurobiological markers related to gray matter volumetric differences associated with resilience to sleep deprivation (SD) have yet to be explored. We collected anatomical magnetic resonance imaging on well-rested healthy adults and correlated gray matter volume (GMV) with the number of lapses on a psychomotor vigilance test (PVT) subsequently occurring over 29-hours of SD.

Methods
45 individuals (23 males; mean age: 25.36 ± 5.62y) completed a baseline neuroimaging session while well-rested and returned 2-4 days later to complete 29h of SD. The PVT was administered at one-hour intervals across SD. High-resolution T1 structural scans were used for a volume-based morphometric analysis (CAT12). Images were segmented and normalized following automated procedures and smoothed at 8 mm FWHM. Regions of interest were constrained to the anterior cingulate and ventral frontal areas of the cortex. GM volume was correlated with the total number of lapses across all PVT administrations, after controlling for age, sex, and total intracranial volume.

Results
Total number of lapses positively correlated with GMV in two clusters comprised of areas in the anterior cingulate cortex (FWE corrected, p = 0.046), as well as the opercular and triangular parts of the inferior frontal gyrus (FWE corrected, p = 0.006).

Conclusion
Susceptibility to attentional lapses was predicted by greater gray matter volume in the ventrolateral prefrontal and anterior cingulate cortices. Current findings support that individual differences in attentional resiliency during SD may be, in part, due to differences in gray matter volume within cortical areas previously shown to be functionally affected by sleep loss.

Support
DARPA (12-12-11-YFA11-FP-029)
0318 Prospective Association of Actigraphy-Assessed Sleep with Physical Growth in the First 6 Months of Life
Authors: Li X , Rueschman M , Kaplan E R , Yu X , Davison K , Redline S , Taveras E M 
Published: May 2020

Abstract

Introduction
Suboptimal sleep is associated with weight gain and related chronic diseases in adults, adolescents, and older children. However, little is known regarding the associations between sleep and physical growth in infants. We investigated prospectively the associations between objectively-measured sleep patterns at 1 month and physical growth in the first 6 months of life.

Methods
We studied 344 full term infants in the ongoing longitudinal Rise & SHINE (Sleep Health in Infancy & Early Childhood) birth cohort study. At 1 month, infants underwent 7-day ankle actigraphy, estimating average sleep duration (24-hour, nighttime, and daytime) and sleep fragmentation (number of nighttime awakenings). Weight and length were measured at birth and 6 months and used to calculate weight-for-length z (WFL-z) scores. We used linear and logistic regression analyses to examine the associations between sleep patterns at 1 month with WLF-z at 6 months and rapid weight gain from birth to 6 months, defined as an increase in WFL-z greater than or equal to 0.67, controlling for covariates.

Results
Each 1-hour increase in 24-hour sleep duration was associated with a 0.07-unit (95% CI [0.01, 0.12]) increase in WFL-z at 6 months. Daytime, but not nighttime, sleep duration was positively associated with WFL-z. Greater number of nighttime awakenings was associated with higher WFL-z (beta = 0.28; 95% CI [0.08, 0.49]). 24-hour and nighttime sleep duration were positively associated with a 18.5% (95% CI [1.04, 1.35]) and a 23.4% (95% CI [1.02, 1.49]) higher odds of rapid weight gain from birth to 6 months, respectively.

Conclusion
Longer 24-hour sleep duration was associated with higher 6-month WFL-z and more rapid increases in WFL-z from birth to 6 months. Greater nighttime sleep fragmentation was associated with higher 6-month WFL-z. Sleep at 1 month might provide modifiable targets to help avoid lifetime complications of excess weight.

Support
R01DK107972.
0324 Effect of Sleep Restriction on Sleep Electroencephalogram Waveforms in Adolescents
Authors: Campbell I G , Cruz Basilio A , Zhang Z Y , Darchia N , Feinberg I 
Published: May 2020

Abstract

Introduction
Over the past 18 years, our laboratory has been carrying out longitudinal studies of sleep and sleep need across adolescence. Our current study uses a dose-response design to examine daytime performance and sleep EEG after varied sleep durations. Here we present results for 1-30 Hz EEG power in NREM and REM sleep.

Methods
Home EEG recording in children 10-16 years old (N=77, mean age = 13.2). Adhering to their habitual rise time participants kept an assigned TIB schedule of 7, 8.5, or 10 hours for four consecutive nights. Participants completed all three conditions each year of the 3 year study. EEG recordings from the fourth night of each condition were scored and analyzed with FFT.

Results
Reducing TIB from 10 to 7 hours effectively decreased total sleep time (TST) from an average of 531 min to an average of 407 min. Decreasing TIB (from 10 to 7 h) produced a small increase (4.6%, p=0.0004) in delta (1-4 Hz) power and a larger decrease (9.0%, p=0.0032) in alpha (8-11 Hz) power in the first 5 h of NREM sleep. In REM periods 2 and 3, the same TIB reduction also increased (12.1%, p&lt;0.0001) delta power and decreased (14.2%, p&lt;0.0001) alpha power. Decreasing TIB reduced (11%, p&lt;0.0001) sigma (11-15 Hz) power in the first 5h of NREM sleep and reduced (28%, p&lt;0.0001) all night NREM sigma energy.

Conclusion
Reducing TST changes EEG power in several frequency bands. The increase in NREM delta power, expected from homeostatic models, may be too small to be biologically significant. The larger loss of sigma power may be of greater consequence. Sigma frequency activity is an indicator of sleep spindles which have been affected in aging, learning, memory and psychopathology. The sigma response to sleep restriction could be used to study these relations.

Support
PHS grant R01 HL116490 supported this work.
0337 Association Between Free-living Sleep and Memory and Attention in Healthy Adolescents
Authors: Stefansdottir R , Gundersen H S , Haraldsson H , Rognvaldsdottir V , Lundervold A S , Gestsdottir S , Gudmundsdottir S L , Chen K Y , Brychta R J , Johannsson E 
Published: May 2020

Abstract

Introduction
Sleep is important for people of all ages, especially children during development. However, adolescents often sleep less than the recommended eight hours per night. Clinical trials have found that even partial sleep deprivation- shorter than the recommended duration- can reduce cognitive function in adolescents. The association between objectively measured free-living sleep and cognition function in adolescents has not been studied.

Methods
Free-living sleep duration and sleep efficiency were measured over one week with wrist actigraphy in 199 healthy normal adolescents (140 girls, mean±SD, 17.7±0.3 years). The day after the sleep measurement concluded, sustained attention was assessed with a validated Posner cue-target task, and working memory was measured with an n-back task. Associations between sleep measures and response times during attention and memory tasks were explored with multiple linear regression adjusted for task accuracy.

Results
Over the entire week, participants’ average sleep duration was 6.2±0.7 h/night and average sleep efficiency was 88±4.4% and averages for sleep the night prior to the cognitive testing were similar. Response times on memory (1-back: 420.6±73.9, 2-back: 522.6±101.9, and 3-back: 551.8±137.2 msec) and attention tasks (valid cue: 309±31.2, invalid cue: 365.8±36, and no cue: 393.6±38.9 msec) were similar to previous reports and not associated with average weekly sleep measures. Sleep duration of the night before cognitive testing was negatively associated with response times for the most challenging memory task (3-back; p=0.02). However, sleep measures of the night before did not correlate with any of the attention task scores.

Conclusion
Our data suggests that performance on difficult memory tasks may be negatively impacted by shorter free-living sleep durations the night prior to testing, even in healthy adolescents who average less than the recommended amount of sleep. Future studies should explore whether recovery sleep or other improvements in sleep habit might mitigate such effects on memory.

Support
The Eimskip University of Iceland Fund, Icelandic Centre for Research, National Institute of Diabetes and Digestive and Kidney Diseases.
0376 Demographic and Socioeconomic Implications of Excessive Daytime Sleepiness in the Community
Authors: Begay T , Tubbs A , Jean-Louis G , Hale L , Branas C , Patterson F , Killgore W D , Wills C C , Grandner M A 
Published: May 2020

Abstract

Introduction
Daytime sleepiness impairs daily functioning and may be directly related to insufficient nighttime sleep. Previous studies have assessed disparities in sleep duration and quality, but community-level disparities in daytime sleepiness using validated measures are lacking.

Methods
Data were from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study of N=1007 adults age 22-60. Daytime sleepiness was assessed with the Epworth Sleepiness Scale (ESS). Predictors included age, sex, race/ethnicity, education, and social class (“Upper middle class or above,” “Middle class,” “Lower middle class,” “Poor,” or “Very Poor”). One-way ANOVAs evaluated group differences. Stepwise linear modeling evaluated ESS score relative to sociodemographic predictors. Final models included all variables entered together to evaluate independent effects. Finally, habitual sleep duration was entered as an additional covariate.

Results
ESS score was higher among racial/ethnic minorities (p=0.0006), men (p&lt;0.0001), those with less education (p=0.008) and lower social class (p=0.0007), and those who are retired or unable to work (p=0.03); marginal differences were seen according to age (p=0.06). Using a model-building approach, age, sex, race/ethnicity, education, social class, and employment were evaluated. Only race/ethnicity (F=5.1, p=0.0004), education (F=4.8, p=0.003), and social class (F=2.14, p=0.046) incrementally added variance to model R2. No 2-way interactions were found. In the final model, significant predictors included Black/African-American race/ethnicity (B=0.94, p=0.01), some college (B=0.99, p=0.005), and being very poor (B=2.16, p=0.005). When controlling for nocturnal sleep duration, the increased sleepiness associated with being Black/African was attenuated (p=0.06), but the other relationships were still significant.

Conclusion
There is a “sleepiness disparity” in the population associated with race/ethnicity and socioeconomics. Daytime sleepiness in the community is associated with being Black/African-American, having some college, and being “very poor.” The race/ethnicity difference in daytime sleepiness may be partially explained by differences in total sleep time.

Support
This work was supported by a grant from Jazz Pharmaceuticals. The SHADES study was funded by R21ES022931. Dr. Grandner is supported by R01MD011600.
0405 Sleep Duration and Sleep Disturbance Related to Obesity, Health, Motor Vehicle Safety, and Daytime Functioning in Israel: Data From the 2017 Israel Social Survey
Authors: Rosenberg E , Perlis M L , Parthasarathy S , Chakravorty S , Grandner M A 
Published: May 2020

Abstract

Introduction
Previous studies suggest the Israeli population exhibits relatively short sleep duration and experiences sleep difficulties. This analysis evaluates the relationships between habitual sleep and outcomes of interest in this population.

Methods
Data were obtained from 7,230 Israeli individuals. The sample consisted a 2017 population-based survey of households, conducted by the Israeli Bureau of Statistics. All variables were self-reported. Outcomes of interest included drowsy driving, sleep medication use, functional impairment, sleepiness, overall health, 1-year health change, and obesity. Predictors included categories of sleep duration (&lt;=5, 6, 7, 8 [reference], or &gt;=9 hours) and sleep disturbance in the past month (none [reference], mild [1/week], moderate [2-3/week], or severe [&gt;3/week]). Covariates included age, sex, ethnic group, and financial status. Binary and ordinal logistic regressions were employed to evaluate the relationship between them and post-hoc analyses evaluated the relationships between subgroups.

Results
Drowsy driving was associated with &lt;=5h, 6h, and 7h sleep duration categories, and severe sleep disturbance. The use of sleep medication use was associated with &lt;=5h and &gt;=9h, and all levels of sleep disturbance. Functional impairment and sleepiness were both associated with &lt;=5h, 6h, 7h, and &gt;=9h, and all levels of sleep disturbance. Their reported overall health was linked to sleep duration of &lt;=5h and &gt;=9h, and all levels of sleep disturbance. Worsening health was associated with &lt;=5h and all levels of sleep disturbance. Obesity was associated with &lt;=5h and severe sleep disturbance. In post-hoc analyses restricted to individuals with no sleep disturbance, habitual sleep duration was still statistically significantly related to drowsy driving, sleep medications, sleepiness, and health change.

Conclusion
Short sleep duration and sleep disturbance are associated with worse motor vehicle safety, health, and functioning in the Israeli population. Effects of sleep duration were generally maintained even for those without sleep disturbance. These results may help focus public health efforts on improving sleep health.

Support
Dr. Grandner is supported by R01MD011600
0420 Fibre-Specific White Matter Neurodegeneration is Associated with Long Sleep Duration After Stroke
Authors: Gottlieb E W , Egorova N , Khlif M S , Khan W , Werden E , Pase M P , Howard M , Brodtmann A 
Published: May 2020

Abstract

Introduction
Long sleep duration in aging populations has recently been proposed as a key modifiable risk factor and sequela of stroke. It is unclear whether the pathogenesis of post-stroke sleep-wake dysfunction is due to focal infarction to regional sleep-wake hubs in the brain, or to accelerated whole-brain neurodegeneration. We utilise a novel technique known as whole-brain fixel-based analyses (FBA) to characterize the first fibre-specific white-matter markers of long sleep duration after stroke.

Methods
We included 98 radiologically-confirmed ischemic stroke participants (67 male; mean age = 68) and 40 age-matched controls with no history of neurodegenerative disease imaged 3-months post-stroke. Sleep-wake was measured for one week using BodyMedia’s SenseWear armband. Diffusion-weighted MRI (DWI) were acquired using echoplanar imaging and preprocessed using MRtrix3. FBA were employed to identify tracts with altered white-matter fibre-density and fibre-bundle cross-section (FDC) in the long sleep duration (&gt;8 hr, n=20) and normal sleep duration groups (between &gt;6 hr and &lt;8 hr, n=59) compared to controls. Statistical comparisons of FDC between groups were performed at each FDC fixel by a general linear model controlling for age, sex, and intracranial volume.

Results
Stroke participants with long sleep duration exhibited significant FDC reductions of up to 40% within the cortico-ponto-cerebellar tract when compared to healthy controls (family-wise-error-corrected p=&lt;0.05). Bilateral pontine degeneration was observed at the decussation of the superior cerebellar peduncles. Stroke participants with normal sleep duration exhibited diffuse whole-brain degeneration most apparent along the corpus collosum and cingulum; however, the distribution was less extensive relative to long sleepers (i.e., no cortico-cerebellar projections) and percentage effect reductions did not exceed 20%.

Conclusion
Long sleep duration after stroke is associated with cortico-ponto-cerebellar degeneration when compared to controls or stroke-participants with normal sleep duration. Excessively long sleep may contribute to post-stroke neurodegeneration beyond the effects of direct infarction and may be a modifiable pharmacological target for abating brain volume loss after stroke.

Support
This work was supported by the National Health and Medical Research Council project grant (APP1020526), the Brain Foundation, Wicking Trust, Collie-Trust, and Sidney and Fiona Myer Family Foundation. NE was supported by the Australian Research Council DECRA award DE180100893.
0428 Taiep Rats Had Normal Levels of Orexin Neurons in the Lateral Hypothalamus But Their Cataplexy Attacks are Sensible to Specific Orexin B Agonist
Authors: Eguibar J R , Cortes C , Espinoza K , De Ovando C I 
Published: May 2020

Abstract

Introduction
Narcolepsy is characterized by sleep fragmentation, sleep paralysis, hypnagogic hallucinations and cataplexy. The cataplexy is a sudden loss of muscle tone triggered by emotions in humans, as well as in animal models. It is stablished that most of the patients had a significant decrease of orexin neurons in the lateral hypothalamus. Taiep rats had a mutation in tubulin TUBB4A and suffer immobility episodes (IE′s) that had a desynchronized activity in the cortex associated with theta rhythm in the hippocampus similar to narcolepsy patients. The aim of this study was to analyze the effects of central administration of an orexin B agonist and determination by immunohistochemistry of the number of orexin neurons on adult male taiep rats.

Methods
We used 14 male taiep rats of 9 months of age. The subjects (Ss) lived 3-4 in acrylic cages with water and food pellets ad libitum, under a 12:12 light-dark cycle (lights on at 0700), whit-controlled temperature and humidity in the recording room. All Ss were implanted to record EEG, EMG and EOG to characterize immobility episodes (IE′s) in a control 8 h recording and after i.c.v. administration of [Ala 11, D-Leu 15]-orexin B with 1, 3 and 10 nmol/1 μL. We measured the number, mean duration and latency to the first IE′s.

Results
The administration of [Ala 11, D-Leu 15]-orexin B significantly reduced the number of IE′s (P&lt;0.01), from 4.28 ± 1.5 IE′s to just 0.25 ± 0.17 with 10 nmol/1 μL dose, but did not change the amount of awakening, slow wave or rapid eye movement sleep. Importantly, the number or orexins neurons were similar between taiep and Sprague-Dawley rats.

Conclusion
The myelin mutant taiep rats is a model of narcolepsy with cataplexy with normal number of orexin neurons in the lateral hypothalamus. Additionally, a specific orexin B agonist reduced IE′s without any effect the sleep pattern. This could be useful for the design of new treatments.

Support
CONACYT grants 243333 and 243247 to CC and JRE, respectively. Grants from VIEP-BUAP 2019 and CA in Neuroendocrinología BUAP-CA-288.