Cargando…

Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography

Autism spectrum disorder (ASD) is a developmental disorder that involves developmental delays. It has been hypothesized that aberrant neural connectivity in ASD may cause atypical brain network development. Brain graphs not only describe the differences in brain networks between clinical and control...

Descripción completa

Detalles Bibliográficos
Autores principales: Duan, Fang, Watanabe, Katsumi, Yoshimura, Yuko, Kikuchi, Mitsuru, Minabe, Yoshio, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590936/
https://www.ncbi.nlm.nih.gov/pubmed/28886147
http://dx.doi.org/10.1371/journal.pone.0184422
_version_ 1783262616949358592
author Duan, Fang
Watanabe, Katsumi
Yoshimura, Yuko
Kikuchi, Mitsuru
Minabe, Yoshio
Aihara, Kazuyuki
author_facet Duan, Fang
Watanabe, Katsumi
Yoshimura, Yuko
Kikuchi, Mitsuru
Minabe, Yoshio
Aihara, Kazuyuki
author_sort Duan, Fang
collection PubMed
description Autism spectrum disorder (ASD) is a developmental disorder that involves developmental delays. It has been hypothesized that aberrant neural connectivity in ASD may cause atypical brain network development. Brain graphs not only describe the differences in brain networks between clinical and control groups, but also provide information about network development within each group. In the present study, graph indices of brain networks were estimated in children with ASD and in typically developing (TD) children using magnetoencephalography performed while the children viewed a cartoon video. We examined brain graphs from a developmental point of view, and compared the networks between children with ASD and TD children. Network development patterns (NDPs) were assessed by examining the association between the graph indices and the raw scores on the achievement scale or the age of the children. The ASD and TD groups exhibited different NDPs at both network and nodal levels. In the left frontal areas, the nodal degree and efficiency of the ASD group were negatively correlated with the achievement scores. Reduced network connections were observed in the temporal and posterior areas of TD children. These results suggested that the atypical network developmental trajectory in children with ASD is associated with the development score rather than age.
format Online
Article
Text
id pubmed-5590936
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-55909362017-09-15 Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography Duan, Fang Watanabe, Katsumi Yoshimura, Yuko Kikuchi, Mitsuru Minabe, Yoshio Aihara, Kazuyuki PLoS One Research Article Autism spectrum disorder (ASD) is a developmental disorder that involves developmental delays. It has been hypothesized that aberrant neural connectivity in ASD may cause atypical brain network development. Brain graphs not only describe the differences in brain networks between clinical and control groups, but also provide information about network development within each group. In the present study, graph indices of brain networks were estimated in children with ASD and in typically developing (TD) children using magnetoencephalography performed while the children viewed a cartoon video. We examined brain graphs from a developmental point of view, and compared the networks between children with ASD and TD children. Network development patterns (NDPs) were assessed by examining the association between the graph indices and the raw scores on the achievement scale or the age of the children. The ASD and TD groups exhibited different NDPs at both network and nodal levels. In the left frontal areas, the nodal degree and efficiency of the ASD group were negatively correlated with the achievement scores. Reduced network connections were observed in the temporal and posterior areas of TD children. These results suggested that the atypical network developmental trajectory in children with ASD is associated with the development score rather than age. Public Library of Science 2017-09-08 /pmc/articles/PMC5590936/ /pubmed/28886147 http://dx.doi.org/10.1371/journal.pone.0184422 Text en © 2017 Duan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Duan, Fang
Watanabe, Katsumi
Yoshimura, Yuko
Kikuchi, Mitsuru
Minabe, Yoshio
Aihara, Kazuyuki
Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title_full Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title_fullStr Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title_full_unstemmed Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title_short Detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
title_sort detection of atypical network development patterns in children with autism spectrum disorder using magnetoencephalography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590936/
https://www.ncbi.nlm.nih.gov/pubmed/28886147
http://dx.doi.org/10.1371/journal.pone.0184422
work_keys_str_mv AT duanfang detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography
AT watanabekatsumi detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography
AT yoshimurayuko detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography
AT kikuchimitsuru detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography
AT minabeyoshio detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography
AT aiharakazuyuki detectionofatypicalnetworkdevelopmentpatternsinchildrenwithautismspectrumdisorderusingmagnetoencephalography