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Record W4205522942 · doi:10.1002/alz.057683

Associations between REM‐sleep EEG spectral power, the cholinergic basal forebrain volume and episodic memory in ageing

2021· article· en· W4205522942 on OpenAlexaff
Marie‐Ève Martineau‐Dussault, Véronique Daneault, Hélène Blais, Dominique Lorrain, Carol Hudon, Célyne Bastien, Dominique Petit, Alexandre Lafrenière, Julie Legault, Guillermo E. Martinez, Cynthia Thompson, Jacques Montplaisir, Nadia Gosselin, Julie Carrier

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsHealth and Social Services Centre University Institute of Geriatrics of SherbrookeCanadian Sleep & Circadian NetworkUniversité de SherbrookeUniversité LavalUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsBasal forebrainPsychologyAudiologyElectroencephalographyNeuroscienceCholinergic neuronPolysomnographyDementiaCholinergicMedicineInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background Our research team has demonstrated that quantitative electroencephalography (qEEG) slowing during rapid‐eye movement (REM) sleep is a more powerful tool to discriminate patients with mild cognitive impairment (MCI) or Alzheimer Disease (AD) from healthy controls than waking EEG. Cortical activation during REM sleep highly depends on the cholinergic basal forebrain system (BFCS) neurons, while other neuronal systems are less active compared to wakefulness. However, the BFCS degenerates early in AD. Here, we tested the hypothesis that REM sleep EEG activity could be strongly associated with neurodegeneration of the BFCS, before the onset of dementia. Method 134 participants (mean age 68.45 ± 7.8 years; 52 women; 61 with MCI) underwent a polysomnography, structural magnetic resonance imaging, and a neuropsychological evaluation. T1‐weighted images were preprocessed using CAT12 and the DARTEL algorithm, and the JuBrain Anatomy Toolbox was used to extract bilateral BFCS volumes (i.e., Ch1‐2‐3, Ch4 and total volume). Based on prior evidence, theta (4‐8Hz) and alpha (8‐13Hz) absolute EEG power during REM sleep were computed on temporal electrodes (T3‐T4‐T5‐T6). A composite episodic memory score was calculated as the mean of Z‐scores obtained on the Rey Auditory Verbal Learning Test immediate and delayed free recalls. Multiple regressions were performed between (i) spectral power values or (ii) episodic memory performance, and basal forebrain volumes controlling for age, sex, the apnea‐hypopnea index, and the total intracranial volume. Complementary analyses were performed by stratifying the cohort by sex. Result Both Ch4 (r=0.24, p=0.006) and total BFCS (r=0.25, p=0.005) volumes were positively associated with episodic memory performance. Ch4 (r=‐0.21; p=0.025) and total BFCS (r=‐0.22; p=0.02) volumes were negatively associated with temporal theta power. Moreover, total BFCS (r=‐0.22; p=0.023) volumes were negatively associated with temporal alpha power. Sex‐stratified analyses revealed that the associations between BFCS volumes, REM‐sleep spectral power and episodic memory were significant in women, but not in men. Conclusion These results confirmed that cortical activation during REM sleep is sensitive to volume loss in the BFCS, a cholinergic region known to degenerate early in AD. Why this association was only observed in women is intriguing and will need further investigation.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.043
GPT teacher head0.298
Teacher spread0.255 · 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
Published2021
Admission routes1
Has abstractyes

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