Nature Communications (Apr 2016)

A small number of abnormal brain connections predicts adult autism spectrum disorder

  • Noriaki Yahata,
  • Jun Morimoto,
  • Ryuichiro Hashimoto,
  • Giuseppe Lisi,
  • Kazuhisa Shibata,
  • Yuki Kawakubo,
  • Hitoshi Kuwabara,
  • Miho Kuroda,
  • Takashi Yamada,
  • Fukuda Megumi,
  • Hiroshi Imamizu,
  • José E. Náñez Sr,
  • Hidehiko Takahashi,
  • Yasumasa Okamoto,
  • Kiyoto Kasai,
  • Nobumasa Kato,
  • Yuka Sasaki,
  • Takeo Watanabe,
  • Mitsuo Kawato

DOI
https://doi.org/10.1038/ncomms11254
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 12

Abstract

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Autism spectrum disorder (ASD) is manifested by subtle but significant changes in the brain. Here, Yahata and colleagues devise a novel machine learning algorithm and develop a reliable ASD classifier based on brain functional connectivity, with which they quantitatively measure neuroimaging dimensions between ASD and other mental disorders.