文献
J-GLOBAL ID:201802238041903138
整理番号:18A0783150
動的機能的連結性の時間的特徴による思春期全般性不安障害を同定するための効果的な方法【JST・京大機械翻訳】
An Effective Method to Identify Adolescent Generalized Anxiety Disorder by Temporal Features of Dynamic Functional Connectivity
著者 (10件):
Yao Zhijun
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Liao Mei
(Mental Health Institute, The Second Xiangya Hospital of Central South University)
,
Hu Tao
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Zhang Zhe
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Zhao Yu
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Zheng Fang
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Gutknecht Juerg
(Computer Systems Institute, ETH Zuerich)
,
Majoe Dennis
(Computer Systems Institute, ETH Zuerich)
,
Hu Bin
(Key Laboratory of Wearable Computing of Gansu Province, Lanzhou University)
,
Li Lingjiang
(Mental Health Institute, The Second Xiangya Hospital of Central South University)
資料名:
Frontiers in Human Neuroscience (Web)
(Frontiers in Human Neuroscience (Web))
巻:
11
ページ:
492
発行年:
2017年
JST資料番号:
U7072A
ISSN:
1662-5161
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)