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  1. 原著論文

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

https://repo.qst.go.jp/records/47916
https://repo.qst.go.jp/records/47916
a78a80c0-f262-4171-be05-43d7e0558e9b
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-05-01
タイトル
タイトル A small number of abnormal brain connections predicts adult autism spectrum disorder
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Yahata, Noriaki

× Yahata, Noriaki

WEKO 481050

Yahata, Noriaki

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Morimoto, Jun

× Morimoto, Jun

WEKO 481051

Morimoto, Jun

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Hashimoto, Ryuichiro

× Hashimoto, Ryuichiro

WEKO 481052

Hashimoto, Ryuichiro

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Lisi, Giuseppe

× Lisi, Giuseppe

WEKO 481053

Lisi, Giuseppe

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Shibata, Kazuhisa

× Shibata, Kazuhisa

WEKO 481054

Shibata, Kazuhisa

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Kawato, Mitsuo

× Kawato, Mitsuo

WEKO 481055

Kawato, Mitsuo

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et.al

× et.al

WEKO 481056

et.al

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八幡 憲明

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WEKO 481057

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抄録
内容記述タイプ Abstract
内容記述 Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and typically developed (TD) individuals were developed to identify the abnormality of functional connections (FCs). Due to over-fitting and interferential effects of varying measurement conditions and demographic distributions, no classifiers have been strictly validated for independent cohorts. Here we overcome these difficulties by developing a novel machine- learning algorithm that identifies a small number of FCs that separates ASD versus TD. The classifier achieves high accuracy for a Japanese discovery cohort and demonstrates a remarkable degree of generalization for two independent validation cohorts in the USA and Japan. The developed ASD classifier does not distinguish individuals with major depressive disorder and attention-deficit hyperactivity disorder from their controls but moderately distinguishes patients with schizophrenia from their controls. The results leave open the viable possibility of exploring neuroimaging-based dimensions quantifying the multiple-disorder spectrum.
書誌情報 Nature Communications (Online Only URL:http://www.nature.com/ncomms/index.html)

巻 7, p. 11254-1-11254-12, 発行日 2016-04
ISSN
収録物識別子タイプ ISSN
収録物識別子 2041-1723
PubMed番号
識別子タイプ PMID
関連識別子 27075704
DOI
識別子タイプ DOI
関連識別子 10.1038/ncomms11254
関連サイト
識別子タイプ URI
関連識別子 www.nature.com/nature communications
関連名称 www.nature.com/nature communications
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