論文

査読有り 国際誌
2022年

Alterations in brain networks in children with sub-threshold autism spectrum disorder: A magnetoencephalography study.

Frontiers in psychiatry
  • Yuka Shiota
  • Daiki Soma
  • Tetsu Hirosawa
  • Yuko Yoshimura
  • Sanae Tanaka
  • Chiaki Hasegawa
  • Ken Yaoi
  • Sumie Iwasaki
  • Masafumi Kameya
  • Shigeru Yokoyama
  • Mitsuru Kikuchi
  • 全て表示

13
開始ページ
959763
終了ページ
959763
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3389/fpsyt.2022.959763

Individuals with sub-threshold autism spectrum disorder (ASD) are those who have social communication difficulties but do not meet the full ASD diagnostic criteria. ASD is associated with an atypical brain network; however, no studies have focused on sub-threshold ASD. Here, we used the graph approach to investigate alterations in the brain networks of children with sub-threshold ASD, independent of a clinical diagnosis. Graph theory is an effective approach for characterizing the properties of complex networks on a large scale. Forty-six children with ASD and 31 typically developing children were divided into three groups (i.e., ASD-Unlikely, ASD-Possible, and ASD-Probable groups) according to their Social Responsiveness Scale scores. We quantified magnetoencephalographic signals using a graph-theoretic index, the phase lag index, for every frequency band. Resultantly, the ASD-Probable group had significantly lower small-worldness (SW) in the delta, theta, and beta bands than the ASD-Unlikely group. Notably, the ASD-Possible group exhibited significantly higher SW than the ASD-Probable group and significantly lower SW than the ASD-Unlikely group in the delta band only. To our knowledge, this was the first report of the atypical brain network associated with sub-threshold ASD. Our findings indicate that magnetoencephalographic signals using graph theory may be useful in detecting sub-threshold ASD.

リンク情報
DOI
https://doi.org/10.3389/fpsyt.2022.959763
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/35990060
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390481
ID情報
  • DOI : 10.3389/fpsyt.2022.959763
  • PubMed ID : 35990060
  • PubMed Central 記事ID : PMC9390481

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