Different circadian rest-active rhythms in Kleine-Levin syndrome: a prospective and case-control study.

Kleine-Levin syndrome actigraphy circadian rhythm detrended fluctuation analysis hypersomnia

Journal

Sleep
ISSN: 1550-9109
Titre abrégé: Sleep
Pays: United States
ID NLM: 7809084

Informations de publication

Date de publication:
13 09 2021
Historique:
received: 23 10 2020
revised: 14 02 2021
pubmed: 15 4 2021
medline: 30 10 2021
entrez: 14 4 2021
Statut: ppublish

Résumé

Kleine-Levin syndrome (KLS) is a rare recurrent hypersomnia. Our study aimed at monitoring the movements of patients with KLS using actigraphy and evaluating their circadian rhythm. Twenty young patients with KLS and 14 age-matched controls were recruited. Each individual wore an actigraphy for more than 6 months to monitor at least two attacks. Controls kept wearing the device for at least 7 days. The activity counts were averaged in hourly basis and the day-to-night amplitude was quantified by the differences of the averaged activity counts during daytime and nighttime. The hourly activities of different days were aligned and averaged to construct the circadian profile. Parametric and nonparametric estimation of circadian rhythm was calculated. We applied detrended fluctuation analysis to evaluate the temporal correlations beneath the activity fluctuations at multiple time scales. Circadian rhythm in asymptomatic period showed no significant difference compared to the controls. During hypersomnia attack, the amplitude of the circadian rest-active rhythms drastically decreased and decreased interdaily stability (IS) was found, as well as significant decreased M10 and short-time fractal correlation (α1). Drastically decreased mean and standard deviation of activity were noted, compared to the pre-attack phase and recovery phase. α1 and M10 increased during the late attack phase, and overcompensated IS was noted in the recovery phase. This study confirmed that circadian rest-active rhythms was affected when KLS hypersomnia attack. Several parameters including M10, IS, and α1 may be physiological markers of KLS, which can help to predict the end of hypersomnia episodes.

Identifiants

pubmed: 33851710
pii: 6225369
doi: 10.1093/sleep/zsab096
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Chen Lin (C)

Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.

Wei-Chih Chin (WC)

Division of Pediatric Psychiatry and Sleep Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Yu-Shu Huang (YS)

Division of Pediatric Psychiatry and Sleep Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Kuo-Chung Chu (KC)

Department of Information Management, National Taipei University of Nursing & Health Sciences, Taipei, Taiwan.

Teresa Paiva (T)

Neurophysiology and Sleep Medicine, University of Lisbon, Lisboa, Portugal.

Chia-Chi Chen (CC)

Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.

Christian Guilleminault (C)

Stanford University Sleep Medicine Division, Stanford, CA, USA.

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