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Record W2801121062 · doi:10.1093/sleep/zsy061.229

0230 Mild and Acute Sleep Loss Negatively Impacts Vigilance Reflected by Reduced Neural Sensory Processing, Motor Preparation and Execution

2018· article· en· W2801121062 on OpenAlexaff
Antoine Benoît, Bobby Stojanoski, L. Bryan Ray, Ali Shahidi Zandi, AHM Ruhul Quddus, Felix J. E. Comeau, Stuart Fogel

Bibliographic record

VenueSLEEP · 2018
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsAlcohol Countermeasure Systems (Canada)Royal Ottawa Mental Health CentreUniversity of Ottawa
Fundersnot available
KeywordsVigilance (psychology)AlertnessSleep deprivationAudiologyPsychomotor vigilance taskSleep restrictionElectroencephalographyPsychologyActigraphyPsychomotor learningSensory systemElectrophysiologyCognitionWakefulnessEvent-related potentialMedicineCircadian rhythmNeurosciencePsychiatry

Abstract

fetched live from OpenAlex

The behavioural and cognitive consequences of severe sleep deprivation are well understood. Surprisingly, relatively little is known about the EEG correlates of mild and acute sleep restriction during tasks demanding sustained vigilance for prolonged periods of time during the day. Event-related potential (ERP) paradigms can reveal insight into the neural correlates of sensory processing and behavior that is impaired with reduced alertness as a consequence of sleep loss. Here, we investigated the impact of reduced vigilance following mild sleep restriction (vs. well-rested) to better understand the associated behavioural consequences and changes in information processing revealed by EEG. Eighteen participants (age 20–26, median=21) were instructed to sleep from 1-6am in the “sleep restricted” (SR) condition, or from 12-9am in the “normal sleep” (NS) condition, verified via actigraphy. Following each night, participants completed 6 sessions of 100 trials of the Psychomotor Vigilance Task (PVT) with simultaneous EEG recording. All testing was completed between 1-3pm (during the circadian trough). More lapses occurred and responses slowed in the SR vs. NS condition (F(1,17)=8.89,p=0.008; F(1,17)=4.78,p=0.043). Lapses increased and responses slowed over the course of the 6 sessions (F(5,85)=10.05,p<0.001; F(5,85)=4.49,p=0.001). A similar pattern was observed for subjective sleepiness. We compared visually-evoked potentials (VEP) in SR vs. NS and found differences at 316–449 ms, maximal at parietal/occipital cortex. We also investigated electrophysiological signs of motor-related processing by comparing lateralized readiness potentials (LRP), and found reduced LRPs in the fastest responses in the SR vs. NS condition at 70-40ms before, and 115-158ms after a response was made. As expected, vigilance was reduced (e.g., increased lapses, response slowing) following mild and acute SR. Late VEPs were reduced after SR, as was motor-related LRPs for the fastest reaction times. These results suggest that even a single night of mild sleep restriction can negatively impact vigilance, reflected by reduced sensory processing capacity, and dulls motor preparation and execution. Research support from NSERC Engage and Engage Plus grants to SF and ACS-Corp.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.313
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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