Identification of antidepressant dose-related, resting-state functional connectivity as a novel therapeutic target in neurofeedback: a machine learning-based fMRI study

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Note (General)：: Real-time Functional Imaging and Neurofeedback Conference 2017

Detailed bibliographic record

Summary, etc.：: Recent studies have indicated that resting-state functional connectivity (rs-fc) holds great promise for effectively delineating the disruption in the...

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Material Type: 文書・図像類
Title: Identification of antidepressant dose-related, resting-state functional connectivity as a novel therapeutic target in neurofeedback: a machine learning-based fMRI study
Author/Editor: Yahata, Noriaki
Ichikawa, Naho
Lisi, Giuseppe
Morimoto, Jun
Okamoto, Yasumasa
Kawato, Mitsuo
八幡憲明
Author Heading: Yahata, Noriaki
Ichikawa, Naho
Lisi, Giuseppe
Morimoto, Jun
Okamoto, Yasumasa
Kawato, Mitsuo
八幡憲明
Publication Date: 2017-11-30
Publication Date (W3CDTF): 2017-11-30
Text Language Code: eng
Target Audience: 一般
Note (General): Real-time Functional Imaging and Neurofeedback Conference 2017
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 国立研究開発法人量子科学技術研究開発機構 : 量子科学技術研究開発機構学術機関リポジトリ