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Mechanisms of brain self-regulation: psychological factors, mechanistic models and neural substrates

Lookup NU author(s): Professor Andrew JacksonORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

While neurofeedback represents a promising tool for neuroscience and a brain self-regulation approach to psychological rehabilitation, the field faces several problems and challenges. Current research has shown great variability and even failure among human participants in learning to self-regulate target features of brain activity with neurofeedback. A better understanding of cognitive mechanisms, psychological factors and neural substrates underlying self-regulation might help improve neurofeedback's scientific and clinical practices. This article reviews the current understanding of the neural mechanisms of brain self-regulation by drawing on findings from human and animal studies in neurofeedback, brain-computer/machine interfaces and neuroprosthetics. In this article, we look closer at the following topics: cognitive processes and psychophysiological factors affecting self-regulation, theoretical models and neural substrates underlying self-regulation, and finally, we provide an outlook on the outstanding gaps in knowledge and technical challenges. This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.

Publication metadata

Author(s): Sitaram R, Sanchez-Corzo A, Vargas G, Cortese A, El-Deredy W, Jackson A, Fetz E

Publication type: Review

Publication status: Published

Journal: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences

Year: 2024

Volume: 379

Issue: 1915

Print publication date: 02/12/2024

Online publication date: 21/10/2024

Acceptance date: 26/06/2024

ISSN (print): 0962-8436

ISSN (electronic): 1471-2970

Publisher: Royal Society Publishing

URL: https://doi.org/10.1098/rstb.2023.0093

DOI: 10.1098/rstb.2023.0093

PubMed id: 39428875

Data Access Statement: This article has no additional data.

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