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Record W2098808281 · doi:10.1093/sleep/26.2.185

Ingestion of Ethanol Just Prior to Sleep Onset Impairs Memory for Procedural but not Declarative Tasks

2003· article· en· W2098808281 on OpenAlexafffund
Carlyle Smith, Danielle Smith

Bibliographic record

VenueSLEEP · 2003
Typearticle
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsTrent University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBedtimeEveningPsychologyProcedural memoryCognitionAudiologyTask (project management)Developmental psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

STUDY OBJECTIVES: The aim of Experiment 1 was to determine if moderate ethanol consumption at bedtime would result in memory loss for recently learned cognitive procedural and declarative tasks. The aim of Experiment 2 was to establish that the memory loss due to alcohol consumption at bedtime was due to the effect of alcohol on sleep states. DESIGN: In Experiment 1, participants were asked to learn a cognitive procedural task and a declarative task in the evening. Then, either the same evening or 2 nights later, they were asked to drink ethanol (0.7g/kg). Sleep was monitored for 3 days and re-testing of the tasks was done on the eighth day after training at the same time of day. In Experiment 2, subjects were asked to learn a cognitive procedural task (Tower of Hanoi) and a motor procedural task (Pursuit Rotor) in the late afternoon. Then one group was asked to drink ethanol (0.9 g/kg) right after task acquisition (5 hours before bed), while the other was asked to drink the same dose of ethanol just prior to bedtime. Re-testing was done 8 days later at the same time of day. PARTICIPANTS: Subjects in Experiment 1 were 15 college students between the ages of 19 and 24 that appeared to be in good health and were relatively naive in terms of drinking alcohol. Subjects in Experiment 2 were 13 college students in the same age range. These subjects were considered to be more experienced drinkers than subjects in Experiment 1 but were not judged to be heavy drinkers. MEASUREMENTS AND RESULTS: In Experiment 1, the alcohol ingestion resulted in memory loss for the cognitive procedural task but not the declarative task. Further, the effect was seen when alcohol ingestion occurred the same day or 2 days after the end of acquisition. In Experiment 2, alcohol ingestion at bedtime impaired memory for the cognitive procedural and motor procedural tasks. By contrast, alcohol ingestion in the afternoon, immediately after the acquisition of these two tasks, did not impair memory. There were clear changes in the nature of rapid eye movement (REM) sleep as a result of evening alcohol ingestion. In Experiment 1, the number of REMs and number of minutes of REM in the first half of the night were reduced. In Experiment 2, the reduction was in REM densities in the first half of the night. CONCLUSIONS: Moderate doses of ethanol can modify the REM sleep architecture by reducing the number of REMs and/or REM densities as well as minutes of REM sleep, particularly in the first half of the night. These modifications result in memory impairment for recently learned cognitive procedural material. Alcohol may also have a subtle effect on Stage 2 sleep as well, since memory for a Stage 2 sensitive motor procedural task was also impaired.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.324
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations69
Published2003
Admission routes2
Has abstractyes

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