Your browser doesn't support javascript.
loading
Technical challenges in REM sleep microstructure classification: A study of patients with REM sleep behaviour disorder.
Yao, C William; Fiamingo, Giuseppe; Lacourse, Karine; Frenette, Sonia; Postuma, Ronald B; Montplaisir, Jacques Y; Lina, Jean-Marc; Carrier, Julie.
Afiliação
  • Yao CW; Psychology Department, Université de Montréal, Montréal, Québec, Canada.
  • Fiamingo G; Center for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.
  • Lacourse K; Center for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.
  • Frenette S; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
  • Postuma RB; Center for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.
  • Montplaisir JY; Psychology Department, Université de Montréal, Montréal, Québec, Canada.
  • Lina JM; Center for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.
  • Carrier J; Center for Advanced Research in Sleep Medicine, Research center of the CIUSS du Nord-de-l'Ile-de-Montréal Montréal, Montréal, Québec, Canada.
J Sleep Res ; : e14208, 2024 Apr 12.
Article em En | MEDLINE | ID: mdl-38606675
ABSTRACT
While commonly treated as a uniform state in practice, rapid eye movement sleep contains two distinct microstructures-phasic (presence of rapid eye movement) and tonic (no rapid eye movement). This study aims to identify technical challenges during rapid eye movement sleep microstructure visual classification in patients with rapid eye movement sleep behaviour disorder, and to propose solutions to enhance reliability between scorers. Fifty-seven sleep recordings were randomly allocated into three subsequent batches (n = 10, 13 and 34) for scoring. To reduce single-centre bias, we recruited three raters/scorers, with each trained from a different institution. Two raters independently scored each 30-s rapid eye movement sleep into 10â€…× fSEM3-s phasic/tonic microstructures based on the AASM guidelines. The third rater acted as an "arbitrator" to resolve opposite opinions persisting during the revision between batches. Besides interrater differences in artefact rejection rate, interrater variance frequently occurred due to transitioning between microstructures and moderate-to-severe muscular/electrode artefact interference. To enhance interrater agreement, a rapid eye movement scoring schematic graph was developed, incorporating proxy electrode use, filters and cut-offs for microstructure transitioning. To assess potential effectiveness of the schematic graph proposed, raters were instructed to systematically apply it in scoring for the third batch. Of the 34 recordings, 27 reached a Cohen's kappa score above 0.8 (i.e. almost perfect agreement between raters), significantly improved from the prior batches (p = 0.0003, Kruskal-Wallis test). Our study illustrated potential solutions and guidance for challenges that may be encountered during rapid eye movement sleep microstructure classification.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Sleep Res Assunto da revista: PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Sleep Res Assunto da revista: PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá