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Record W2800676525 · doi:10.1093/sleep/zsy061.1018

1019 Eeg Functional Connectivity During Wakefulness And Rem Sleep In Patients With Mild Cognitive Impairment

2018· article· en· W2800676525 on OpenAlexaff
Alexandre Lafrenière, Pauline Brayet, Jean‐Marc Lina, Dominique Petit, Jacques Montplaisir, Julie Carrier

Bibliographic record

VenueSLEEP · 2018
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsCanadian Sleep & Circadian NetworkCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital du Sacré-Cœur de MontréalUniversité de Montréal
Fundersnot available
KeywordsWakefulnessPsychologyElectroencephalographyBasal forebrainAudiologySlow-wave sleepNeurosciencePolysomnographyDementiaRapid eye movement sleepMedicineCholinergicInternal medicine

Abstract

fetched live from OpenAlex

Mild cognitive impairment (MCI), which is a prodrome of Alzheimer’s disease (AD), offers the opportunity to identify AD-related markers before the dementia phase. Cholinergic basal forebrain neurons, which degenerate early in AD, play a major role during Rapid-Eye-Movement (REM) sleep, at a time when several other neuronal systems are less active, leaving the cholinergic influence unmasked. Here we compared EEG functional connectivity (FC) during wakefulness and REM sleep in patients with MCI and in cognitively healthy individuals (CHI). 32 subjects with MCI (mean age 64 ± 6.1 years) and 32 subjects without cognitive impairment (mean age 63.7 ± 6.6 years) underwent a neuropsychological evaluation, a night of polysomnography and a resting-state EEG recording with 14 EEG electrodes. EEG FC was evaluated with using imaginary coherence analyses performed on manually selected artefact-free epochs in both REM sleep and resting wakefulness. Four frequency bands (delta, theta, alpha and beta) were analysed. Differences between REM sleep and wakefulness were assessed with a Welch’s t-stat. A non-parametric test on the max-stat and a permutation resampling allowed to account for multiple comparisons (between pairs of electrodes) in a false discovery rate like thresholding (p<0.04). During resting wakefulness, patients with MCI showed higher FC for the delta band, but slightly lower FC for the alpha band as compared to the CHI. During REM sleep, both groups showed a global FC decrease for the alpha band as compared to wakefulness but this decrease was less prominent in the MCI patients. Compared to CHI, patients with MCI individuals show a reduced ability to decrease FC in alpha during REM sleep with respect to wakefulness. Our results support previous reports showing higher EEG FC during wakefulness in the delta frequency and lower alpha EEG coherence in MCI patients as compared to CHI. As the cholinergic projection from the basal forebrain to the cerebral cortex is an important substratum of alpha rhythms, differences observed within this band during REM sleep could reflect the beginning of neurodegenerative changes. CIHR PJT-153259.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.253
Teacher spread0.232 · 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 designObservational
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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