クワバラ　ヒトシ   KUWABARA Hitoshi   桑原　斉    所属   埼玉医科大学  医学部 神経精神科・心療内科    職種   教授
論文種別	学術雑誌(原著)
言語種別	英語
査読の有無	査読あり
表題	A small number of abnormal brain connections predicts adult autism spectrum disorder
掲載誌名	正式名：NATURE COMMUNICATIONS ISSNコード：20411723
出版社	NATURE PUBLISHING GROUP
巻・号・頁	7,11254頁
著者・共著者	Noriaki Yahata,Jun Morimoto,Ryuichiro Hashimoto,Giuseppe Lisi,Kazuhisa Shibata,Yuki Kawakubo,Hitoshi Kuwabara,Miho Kuroda,Takashi Yamada,Fukuda Megumi,Hiroshi Imamizu,Jose E. Nanez,Hidehiko Takahashi,Yasumasa Okamoto,Kiyoto Kasai,Nobumasa Kato,Yuka Sasaki,Takeo Watanabe,Mitsuo Kawato
発行年月	2016/04
概要	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.
DOI	10.1038/ncomms11254
PMID	27075704