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Neurofeedback and neural self-regulation: a new perspective based on allostasis

  • Arash Mirifar ORCID logo EMAIL logo , Andreas Keil and Felix Ehrlenspiel
Published/Copyright: February 7, 2022
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Abstract

The field of neurofeedback training (NFT) has seen growing interest and an expansion of scope, resulting in a steadily increasing number of publications addressing different aspects of NFT. This development has been accompanied by a debate about the underlying mechanisms and expected outcomes. Recent developments in the understanding of psychophysiological regulation have cast doubt on the validity of control systems theory, the principal framework traditionally used to characterize NFT. The present article reviews the theoretical and empirical aspects of NFT and proposes a predictive framework based on the concept of allostasis. Specifically, we conceptualize NFT as an adaptation to changing contingencies. In an allostasis four-stage model, NFT involves (a) perceiving relations between demands and set-points, (b) learning to apply collected patterns (experience) to predict future output, (c) determining efficient set-points, and (d) adapting brain activity to the desired (“set”) state. This model also identifies boundaries for what changes can be expected from a neurofeedback intervention and outlines a time frame for such changes to occur.


Corresponding author: Arash Mirifar, Department of Sport and Health Sciences, Chair of Sport Psychology, Technische Universität München, Munich, Bavaria, Germany; and Institute of Sports Science, Leibniz University Hannover, Germany, E-mail:

Award Identifier / Grant number: R01MH112558

  1. Author contributions: AM conceived and developed the idea and frame of the manuscript. AM and FE developed the model and AK provided feedback on it. AM wrote the first draft of the manuscript and FE and AK commented on it and revised it. All authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: AM and FE received no financial support for the research, authorship, and/or publication of this article. AK was supported by grant R01MH112558, by the National Institute of Mental Health.

  3. Conflict of interest statement: None.

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Received: 2021-10-04
Accepted: 2022-01-13
Published Online: 2022-02-07
Published in Print: 2022-08-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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