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  1. 原著論文

Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback.

https://repo.qst.go.jp/records/74639
https://repo.qst.go.jp/records/74639
51344e33-32d9-485f-8549-5ca569539c60
Item type 学術雑誌論文 / Journal Article(1)
公開日 2019-03-07
タイトル
タイトル Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback.
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 Shibata, Kazuhisa

× Shibata, Kazuhisa

WEKO 865141

Shibata, Kazuhisa

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Lisi, Giuseppe

× Lisi, Giuseppe

WEKO 865142

Lisi, Giuseppe

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Cortese, Aurelio

× Cortese, Aurelio

WEKO 865143

Cortese, Aurelio

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Watanabe, Takeo

× Watanabe, Takeo

WEKO 865144

Watanabe, Takeo

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Sasaki, Yuka

× Sasaki, Yuka

WEKO 865145

Sasaki, Yuka

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Kawato, Mitsuo

× Kawato, Mitsuo

WEKO 865146

Kawato, Mitsuo

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Shibata, Kazuhisa

× Shibata, Kazuhisa

WEKO 865147

en Shibata, Kazuhisa

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抄録
内容記述タイプ Abstract
内容記述 Real-time functional magnetic resonance imaging (fMRI) neurofeedback is an experimental framework in which fMRI signals are presented to participants in a real-time manner to change their behaviors. Changes in behaviors after real-time fMRI neurofeedback are postulated to be caused by neural plasticity driven by the induction of specific targeted activities at the neuronal level (targeted neural plasticity model). However, some research groups argued that behavioral changes in conventional real-time fMRI neurofeedback studies are explained by alternative accounts, including the placebo effect and physiological artifacts. Recently, decoded neurofeedback (DecNef) has been developed as a result of adapting new technological advancements, including implicit neurofeedback and fMRI multivariate analyses. DecNef provides strong evidence for the targeted neural plasticity model while refuting the abovementioned alternative accounts. In this review, we first discuss how DecNef refutes the alternative accounts. Second, we propose a model that shows how targeted neural plasticity occurs at the neuronal level during DecNef training. Finally, we discuss computational and empirical evidence that supports the model. Clarification of the neural mechanisms of DecNef would lead to the development of more advanced fMRI neurofeedback methods that may serve as powerful tools for both basic and clinical research.
書誌情報 NeuroImage

巻 188, p. 539-556, 発行日 2018-12
出版者
出版者 Elsevier
ISSN
収録物識別子タイプ ISSN
収録物識別子 1053-8119
PubMed番号
識別子タイプ PMID
関連識別子 30572110
DOI
識別子タイプ DOI
関連識別子 10.1016/j.neuroimage.2018.12.022
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