Literature DB >> 35210175

Closed-loop neuromodulation for studying spontaneous activity and causality.

Michal Ramot1, Alex Martin2.   

Abstract

Having established that spontaneous brain activity follows meaningful coactivation patterns and correlates with behavior, researchers have turned their attention to understanding its function and behavioral significance. We suggest closed-loop neuromodulation as a neural perturbation tool uniquely well suited for this task. Closed-loop neuromodulation has primarily been viewed as an interventionist tool to teach subjects to directly control their own brain activity. We examine an alternative operant conditioning model of closed-loop neuromodulation which, through implicit feedback, can manipulate spontaneous activity at the network level, without violating the spontaneous or endogenous nature of the signal, thereby providing a direct test of network causality.
Copyright © 2022. Published by Elsevier Ltd.

Entities:  

Keywords:  causality; implicit learning; neurofeedback; perturbation; spontaneous activity

Mesh:

Year:  2022        PMID: 35210175      PMCID: PMC9396631          DOI: 10.1016/j.tics.2022.01.008

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   24.482


  82 in total

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10.  Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder.

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  1 in total

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  1 in total

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