功能磁共振成像实时神经反馈的进展
Advances in fMRI Real-Time Neurofeedback.
作者信息
Watanabe Takeo, Sasaki Yuka, Shibata Kazuhisa, Kawato Mitsuo
机构信息
Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, USA; Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan; Equal contributions.
Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan; Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-shi, Nagoya 464-0814, Japan; Equal contributions.
出版信息
Trends Cogn Sci. 2017 Dec;21(12):997-1010. doi: 10.1016/j.tics.2017.09.010. Epub 2017 Oct 12.
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.
功能磁共振成像（fMRI）神经反馈是一种生物反馈，其中实时在线fMRI信号用于自我调节大脑功能。自2003年问世以来，fMRI神经反馈技术取得了重大进展。具体而言，隐式协议、外部奖励、多变量分析和连通性分析的使用使神经科学家能够探索大脑活动改变与行为改变之间可能存在的因果关系。这些技术还被整合到开创性的新神经反馈技术中，特别是解码神经反馈（DecNef）和基于功能连通性的神经反馈（FCNef）。通过调节神经活动和行为，DecNef和FCNef极大地推动了基础研究和临床研究的发展。
Zotero 插件