Local over-connectivity reduces the complexity of neural activity: Toward a constructive understanding of brain networks in patients with autism spectrum disorder

Koki Ichinose, Jihoon Park, Yuji Kawai, Junichi Suzuki, Minoru Asada, Hiroki Mori

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The human brain has a huge number of neurons connected to each other, forming a multitude of networks; notably, such connectivity typically exhibits a small-world structure. However, the brains of persons with autism spectrum disorder (ASD) reportedly have what has been termed as 'local over-connectivity.' The neural activity of the ASD brain is also atypical; resting-state EEG signals in the ASD brain have lower complexity and enhanced power at low and high frequency oscillations. In this study, we used a small-world network model based on the model proposed by Watts and Strogatz to investigate the relationship between the degree of local over-connectivity and neural activity. We controlled the degree of local over-connectivity in the model according to the parameters laid out by Watts and Strogatz. We assessed connectivity using graph-theoretical approaches, and analyzed the complexity and frequency spectrum of the activity. We found that an ASD-like network with local over-connectivity (i.e., a high clustering coefficient and a high degree of centrality) would have excessively high power in the high frequency band, and less complexity than that of a network without local over-connectivity. This result supports the idea that local over-connectivity could underlie the characteristic brain electrical activity in persons with ASD.

本文言語English
ホスト出版物のタイトル7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ233-238
ページ数6
ISBN(電子版)9781538637159
DOI
出版ステータスPublished - 2018 4 2
イベント7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017 - Lisbon, Portugal
継続期間: 2017 9 182017 9 21

出版物シリーズ

名前7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
2018-January

Other

Other7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017
国/地域Portugal
CityLisbon
Period17/9/1817/9/21

ASJC Scopus subject areas

  • 人工知能
  • 機械工学
  • 制御と最適化
  • 発達神経科学

フィンガープリント

「Local over-connectivity reduces the complexity of neural activity: Toward a constructive understanding of brain networks in patients with autism spectrum disorder」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル