Advances in fMRI Real-Time Neurofeedback.

Trends Cogn Sci

Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan. Electronic address:

Published: December 2017

AI Article Synopsis

  • Functional magnetic resonance imaging (fMRI) neurofeedback allows individuals to self-regulate brain function using real-time brain activity signals.
  • Since its introduction in 2003, new techniques like implicit protocols, external rewards, and advanced analyses have improved the understanding of how brain activity influences behavior.
  • Innovations like decoded neurofeedback (DecNef) and functional connectivity-based neurofeedback (FCNef) have significantly enhanced research in both basic neuroscience and clinical applications.

Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5694350PMC
http://dx.doi.org/10.1016/j.tics.2017.09.010DOI Listing

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