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Record W1964202824 · doi:10.1002/ana.20373

Slow‐wave sleep and delta power in rapid eye movement sleep behavior disorder

2005· article· en· W1964202824 on OpenAlexafffund
J. Massicotte-Marquez, Julie Carrier, Anne Décary, Annie Mathieu, Mélanie Vendette, Dominique Petit, Jacques Montplaisir

Bibliographic record

VenueAnnals of Neurology · 2005
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
FundersCanadian Institutes of Health Research
KeywordsRapid eye movement sleepREM sleep behavior disorderSlow-wave sleepK-complexSleep (system call)Eye movementNon-rapid eye movement sleepAudiologySleep spindlePsychologySleep StagesElectroencephalographyDopaminergicMedicineElectrooculographyNeurosciencePolysomnographyDopamine

Abstract

fetched live from OpenAlex

Rapid eye movement (REM) sleep behavior disorder (RBD) is characterized by the loss of normal muscle atonia during REM sleep, leading to an increase of phasic muscle activity and complex motor behaviors during the night. There is some evidence that RBD patients have more of slow-wave sleep (SWS) than healthy elderly subjects. No study has looked at quantitative electroencephalogram analysis during non-REM sleep in either primary or secondary RBD. The aim of this study was to assess the increase of SWS and to analyze different electroencephalographic frequency ranges during non-REM sleep in 28 idiopathic RBD patients compared with 28 age- and sex-matched healthy volunteers. Idiopathic RBD patients spent more time in SWS (men: 1.4%; women: 5.9%) than control subjects (men: 0.4%; women: 0.6%; p = 0.004). Spectral analyses demonstrated that idiopathic RBD patients had increased all-night delta power in comparison with control subjects (p = 002). This study shows an increase of SWS and power in the delta band during non-REM sleep in idiopathic RBD patients compared with control subjects. Results are discussed about the possible nigrostriatal dopaminergic impairment in RBD patients and the association between RBD and neurodegenerative disorders.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.692

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 communication0.0000.000
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 head0.070
GPT teacher head0.341
Teacher spread0.271 · 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 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".

Quick stats

Citations83
Published2005
Admission routes2
Has abstractyes

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