Advances in fMRI Real-Time Neurofeedback

被引：144

作者：

Watanabe, Takeo ^{[1
,2
]}

Sasaki, Yuka ^{[1
,2
]}

Shibata, Kazuhisa ^{[2
,3
]}

Kawato, Mitsuo ^{[2
]}

机构：

[1] Brown Univ, Dept Cognit Linguist & Psychol Sci, 190 Thayer St, Providence, RI 02912 USA

[2] Adv Telecommun Res Inst Int, Brain Informat Commun Res Lab Grp, 2-2-2 Hikaridai, Seika, Kyoto 6190288, Japan

[3] Nagoya Univ, Grad Sch Informat, Chikusa Ku, Furo Cho, Nagoya, Aichi 4640814, Japan

来源：

TRENDS IN COGNITIVE SCIENCES | 2017年 / 21卷 / 12期

基金：

美国国家科学基金会; 美国国家卫生研究院; 日本学术振兴会;

关键词：

CONNECTIVITY-BASED NEUROFEEDBACK; STATE FUNCTIONAL CONNECTIVITY; AUTISM SPECTRUM DISORDER; HUMAN BRAIN; LEARNED REGULATION; CORTICAL CIRCUITS; CAUDATE-NUCLEUS; SELF-REGULATION; MOTOR IMAGERY; MRI;

D O I：

10.1016/j.tics.2017.09.010

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in which real-time online fMRI signals are used to self-regulate brain function. Since its advent in 2003 significant progress has been made in fMRI neurofeedback techniques. Specifically, the use of implicit protocols, external rewards, multivariate analysis, and connectivity analysis has allowed neuroscientists to explore a possible causal involvement of modified brain activity in modified behavior. These techniques have also been integrated into groundbreaking new neurofeedback technologies, specifically decoded neurofeedback (DecNef) and functional connectivity-based neurofeedback (FCNef). By modulating neural activity and behavior, DecNef and FCNef have substantially advanced both basic and clinical research.

引用

页码：997 / 1010

页数：14

共 50 条

[1] Advances in fMRI Real-Time Neurofeedback (vol 21, pg 997, 2017)
Watanabe, Takeo
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[J]. TRENDS IN COGNITIVE SCIENCES, 2018, 22 (08) : 738 - 738
[2] Real-time fMRI and its application to neurofeedback
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[J]. NEUROIMAGE, 2012, 62 (02) : 682 - 692
[3] Real-time fMRI neurofeedback: Progress and challenges
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