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  1. 原著論文

A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity

https://repo.qst.go.jp/records/48353
https://repo.qst.go.jp/records/48353
abe25afd-7cc0-4c8d-aaa0-f07fbf33e818
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-11-02
タイトル
タイトル A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity
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 Takagi, Yu

× Takagi, Yu

WEKO 485936

Takagi, Yu

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Sakai, Yuki

× Sakai, Yuki

WEKO 485937

Sakai, Yuki

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Lisi, Giuseppe

× Lisi, Giuseppe

WEKO 485938

Lisi, Giuseppe

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Yahata, Noriaki

× Yahata, Noriaki

WEKO 485939

Yahata, Noriaki

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Abe, Yoshinari

× Abe, Yoshinari

WEKO 485940

Abe, Yoshinari

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Nishida, Seiji

× Nishida, Seiji

WEKO 485941

Nishida, Seiji

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Nakamae, Takashi

× Nakamae, Takashi

WEKO 485942

Nakamae, Takashi

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Morimoto, Jun

× Morimoto, Jun

WEKO 485943

Morimoto, Jun

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Kawato, Mitsuo

× Kawato, Mitsuo

WEKO 485944

Kawato, Mitsuo

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Narumoto, Jin

× Narumoto, Jin

WEKO 485945

Narumoto, Jin

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C., Tanaka Saori

× C., Tanaka Saori

WEKO 485946

C., Tanaka Saori

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八幡 憲明

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WEKO 485947

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抄録
内容記述タイプ Abstract
内容記述 Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2–3%. Recently, brain activity in the resting state is gathering attention for exploring altered functional connectivity in psychiatric disorders. Although previous resting-state functional magnetic resonance imaging studies investigated the neurobiological abnormalities of patients with OCD, there are concerns that should be addressed. One concern is the validity of the hypothesis employed. Most studies used seed-based analysis of the fronto-striatal circuit, despite the potential for abnormalities in other regions. A hypothesis-free study is a promising approach in such a case, while it requires researchers to handle a dataset with large dimensions. Another concern is the reliability of biomarkers derived from a single dataset, which may be influenced by cohort-specific features. Here, our machine learning algorithm identified an OCD biomarker that achieves high accuracy for an internal dataset (AUC = 0.81; N = 108) and demonstrates generalizability to an external dataset (AUC = 0.70; N = 28). Our biomarker was unaffected by medication status, and the functional networks contributing to the biomarker were distributed widely, including the frontoparietal and default mode networks. Our biomarker has the potential to deepen our understanding of OCD and to be applied clinically.
書誌情報 Scientific Reports

巻 7, 号 1, p. 7538, 発行日 2017-08
出版者
出版者 Nature Publishing Group
ISSN
収録物識別子タイプ ISSN
収録物識別子 2045-2322
PubMed番号
識別子タイプ PMID
関連識別子 28790433
DOI
識別子タイプ DOI
関連識別子 10.1038/s41598-017-07792-7
関連サイト
識別子タイプ URI
関連識別子 https://www.nature.com/articles/s41598-017-07792-7
関連名称 https://www.nature.com/articles/s41598-017-07792-7
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