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Record W2141810025 · doi:10.7202/1033054ar

La médecine du sommeil : 1965-2015

2015· article· fr· W2141810025 on OpenAlexaffvenueabout
Jacques Montplaisir

Bibliographic record

VenueSanté mentale au Québec · 2015
Typearticle
Languagefr
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsCanadian Sleep & Circadian NetworkUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

The Département de psychiatrie de l'Université de Montréal houses one of the first sleep centers founded 40 years ago. This center contributed to virtually every aspect of sleep medicine. It grew considerably over time to become one of the largest sleep centers worldwide. It is now called the Center for Advanced Research in Sleep Medicine (CARSM). Fourteen researchers and more than 30 research PhDs and postdoctoral fellows are working together in a 1,500 square-meter facility that includes separate units for fundamental and clinical studies and for the sleep disorders clinic. It has 10 polysomnographic recording rooms, 3 isolated units devoted to chronobiological studies, a high resolution SPECT imaging laboratory specifically devoted to sleep research, a high-density EEG unit and a psychophysiological laboratory to study the interaction between pain and sleep. This article relates the history of the CARSM and also presents a personal sleep odyssey.The CARSM has been very active in the description of clinical features and definitions of the phenotype of most sleep disorders. It contributed specifically to the development of diagnostic tools in narcolepsy (the multiple sleep latency test in different age groups), in nocturnal epilepsy (development of a method to localize the primary focus using in-depth electrodes recording during rapid eye movement sleep), in sleep bruxism (a method for scoring masticatory muscle activity during sleep and definition of cut-off values), in the restless legs syndrome (RLS: the suggested immobilisation test), in sleepwalking (sleep deprivation and experimental awakenings) and REM sleep behaviour disorder (RBD: development of the first polygraphic method to diagnose RBD).The CARSM also contributed to the knowledge on the epidemiology of sleep disorders, conducting the first population-based prevalence study of RLS and of sleep bruxism. Researchers at the CARMS also looked at the impact of sleep disorders like narcolepsy, RLS, sleep apnea and the parasomnias on daytime cognitive functions and cardiovascular health. The CARSM collaborates with researchers throughout the world to elucidate the genetic bases of several disorders, especially narcolepsy, RLS, RBD and parasomnias in children and adults, through large well-defined cohorts of patients and normal subjects.Finally, the CARSM has made original contributions to the development of new treatments of sleep disorders, especially the dopaminergic treatments of RLS (first with levodopa and then with pramipexole). Current research also involves the identification of prodromal markers of Parkinson disease and dementia in patients with RBD as to build a ready-to trial cohort to test the efficacy of neuroprotective agents.In summary, the CARSM is a center dedicated to basic and clinical research on sleep and circadian rhythms. It is located at the Hôpital du Sacré-Coeur de Montréal but involves several other researchers at the Université de Montréal and at other universities in Canada and in the world.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.585

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1750.066

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 head0.046
GPT teacher head0.329
Teacher spread0.283 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2015
Admission routes3
Has abstractyes

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