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

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

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 dimensi...

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Q
Acceso en línea:https://doaj.org/article/93b658df05cd497f85c55d9a81c0477d
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spelling oai:doaj.org-article:93b658df05cd497f85c55d9a81c0477d2021-12-02T16:56:45ZA small number of abnormal brain connections predicts adult autism spectrum disorder10.1038/ncomms112542041-1723https://doaj.org/article/93b658df05cd497f85c55d9a81c0477d2016-04-01T00:00:00Zhttps://doi.org/10.1038/ncomms11254https://doaj.org/toc/2041-1723Autism 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.Noriaki YahataJun MorimotoRyuichiro HashimotoGiuseppe LisiKazuhisa ShibataYuki KawakuboHitoshi KuwabaraMiho KurodaTakashi YamadaFukuda MegumiHiroshi ImamizuJosé E. Náñez SrHidehiko TakahashiYasumasa OkamotoKiyoto KasaiNobumasa KatoYuka SasakiTakeo WatanabeMitsuo KawatoNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
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
A small number of abnormal brain connections predicts adult autism spectrum disorder
description 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.
format article
author 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
author_facet 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
author_sort Noriaki Yahata
title A small number of abnormal brain connections predicts adult autism spectrum disorder
title_short A small number of abnormal brain connections predicts adult autism spectrum disorder
title_full A small number of abnormal brain connections predicts adult autism spectrum disorder
title_fullStr A small number of abnormal brain connections predicts adult autism spectrum disorder
title_full_unstemmed A small number of abnormal brain connections predicts adult autism spectrum disorder
title_sort small number of abnormal brain connections predicts adult autism spectrum disorder
publisher Nature Portfolio
publishDate 2016
url https://doaj.org/article/93b658df05cd497f85c55d9a81c0477d
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