4.1 Article

Neurofeedback for cognitive enhancement and intervention and brain plasticity

Journal

REVUE NEUROLOGIQUE
Volume 177, Issue 9, Pages 1133-1144

Publisher

MASSON EDITEUR
DOI: 10.1016/j.neurol.2021.08.004

Keywords

Neurofeedback; Brain machine interfaces; Decoding; Cognitive training; Plasticity; Rehabiliation; Learning; EEG; FMRI; ADHD

Funding

  1. ERC BRAIN3.0 [681978]
  2. LABEX CORTEX from the Universite de Lyon, within the program Investissements d'Avenir [ANR-11-LABX-0042, ANR-11-IDEX-0007]
  3. French Ministry of Research and higher Education
  4. Pack Ambition program of the University of Lyon
  5. French Region AuRA (Auvergne-Rhone-Alpes)
  6. [ANR-11-BSV4-0011]
  7. [ANR-14-ASTR-0011-01]
  8. European Research Council (ERC) [681978] Funding Source: European Research Council (ERC)

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Neurofeedback is a cognitive training tool that has been used to improve brain functions for clinical or recreational purposes by controlling brain activity and promoting cognitive abilities. Despite the behavioral benefits observed in clinical and experimental contexts, challenges faced by neurofeedback studies include quantifying effects, generalizing outcomes, establishing appropriate controls, and developing advanced signal processing techniques.
In recent years, neurofeedback has been used as a cognitive training tool to improve brain functions for clinical or recreational purposes. It is based on providing participants with feedback about their brain activity and training them to control it, initiating directional changes. The overarching hypothesis behind this method is that this control results in an enhancement of the cognitive abilities associated with this brain activity, and triggers specific structural and functional changes in the brain, promoted by learning and neuronal plasticity effects. Here, we review the general methodological principles behind neurofeedback and we describe its behavioural benefits in clinical and experimental contexts. We review the non-specific effects of neurofeedback on the reinforcement learning striatofrontal networks as well as the more specific changes in the cortical networks on which the neurofeedback control is exerted. Last, we analyse the current challenges faces by neurofeedback studies, including the quantification of the temporal dynamics of neurofeedback effects, the generalisation of its behavioural outcomes to everyday life situations, the design of appropriate controls to disambiguate placebo from true neurofeedback effects and the development of more advanced cortical signal processing to achieve a finer-grained realtime modelling of cognitive functions. (C) 2021 The Authors. Published by Elsevier Masson SAS.

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