期刊
TRENDS IN COGNITIVE SCIENCES
卷 21, 期 12, 页码 997-1010出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2017.09.010
关键词
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资金
- National Institutes of Health [R01EY019466]
- National Science Foundation [BCS 1539717]
- Japan Society for the Promotion of Science (KAKENHI grant) [17H04789]
- ImPACT Program of Council for Science, Technology, and Innovation (Cabinet Office, Government of Japan)
- Grants-in-Aid for Scientific Research [17H04789, 17H02649, 17K18692] Funding Source: KAKEN
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [1539717] Funding Source: National Science Foundation
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.
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