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Complexity of Body Movements during Sleep in Children with Autism Spectrum Disorder.
Furutani, Naoki; Takahashi, Tetsuya; Naito, Nobushige; Maruishi, Takafumi; Yoshimura, Yuko; Hasegawa, Chiaki; Hirosawa, Tetsu; Kikuchi, Mitsuru.
Afiliação
  • Furutani N; Department of Psychiatry and Neurobiology, Graduate School of Medical Science, Kanazawa University, Kanazawa 920-8640, Japan.
  • Takahashi T; Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan.
  • Naito N; Department of Neuropsychiatry, University of Fukui, Fukui 910-1193, Japan.
  • Maruishi T; Uozu Shinkei Sanatorium, Uozu 937-0017, Japan.
  • Yoshimura Y; Department of Psychiatry and Neurobiology, Graduate School of Medical Science, Kanazawa University, Kanazawa 920-8640, Japan.
  • Hasegawa C; Department of Earth and Planetary Sciences, Graduate School of Sciences, Kyushu University, Fukuoka 819-0395, Japan.
  • Hirosawa T; Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan.
  • Kikuchi M; Institute of Human and Social Sciences, Kanazawa University, Kanazawa 921-1192, Japan.
Entropy (Basel) ; 23(4)2021 Mar 31.
Article em En | MEDLINE | ID: mdl-33807381
ABSTRACT
Recently, measuring the complexity of body movements during sleep has been proven as an objective biomarker of various psychiatric disorders. Although sleep problems are common in children with autism spectrum disorder (ASD) and might exacerbate ASD symptoms, their objectivity as a biomarker remains to be established. Therefore, details of body movement complexity during sleep as estimated by actigraphy were investigated in typically developing (TD) children and in children with ASD. Several complexity analyses were applied to raw and thresholded data of actigraphy from 17 TD children and 17 children with ASD. Determinism, irregularity and unpredictability, and long-range temporal correlation were examined respectively using the false nearest neighbor (FNN) algorithm, information-theoretic analyses, and detrended fluctuation analysis (DFA). Although the FNN algorithm did not reveal determinism in body movements, surrogate analyses identified the influence of nonlinear processes on the irregularity and long-range temporal correlation of body movements. Additionally, the irregularity and unpredictability of body movements measured by expanded sample entropy were significantly lower in ASD than in TD children up to two hours after sleep onset and at approximately six hours after sleep onset. This difference was found especially for the high-irregularity period. Through this study, we characterized details of the complexity of body movements during sleep and demonstrated the group difference of body movement complexity across TD children and children with ASD. Complexity analyses of body movements during sleep have provided valuable insights into sleep profiles. Body movement complexity might be useful as a biomarker for ASD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Entropy (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão