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SYSTEMATIC REVIEW article

Front. Neurosci.

Sec. Translational Neuroscience

Volume 19 - 2025 | doi: 10.3389/fnins.2025.1515377

This article is part of the Research Topic Translational applications of neuroimaging, volume II View all articles

Music in the loop: a systematic review of current neurofeedback methodologies using music

Provisionally accepted
  • 1 Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal
  • 2 Siemens Healthineers (Portugal), Lisbon, Portugal
  • 3 Faculty of Sciences and Technology, University of Coimbra, Coimbra, Coimbra, Portugal
  • 4 Intelligent Systems Associate Laboratory (LASI), Coimbra, Portugal
  • 5 Center of Informatics and Systems, University of Coimbra, Coimbra, Coimbra, Portugal
  • 6 Faculty of Medicine, University of Coimbra, Coimbra, Coimbra, Portugal
  • 7 Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Tel Aviv, Israel
  • 8 Institute of Nuclear Sciences Applied to Health, University of Coimbra, Coimbra, Coimbra, Portugal

The final, formatted version of the article will be published soon.

    Music, a universal element in human societies, possesses a profound ability to evoke emotions and influence mood. This systematic review explores the utilization of music to allow self-control of brain activity and its implications in clinical neuroscience. Focusing on music-based neurofeedback studies, it explores methodological aspects and findings to propose future directions. Three key questions are addressed: the rationale behind using music as a stimulus, its integration into the feedback loop, and the outcomes of such interventions. While studies emphasize the emotional link between music and brain activity, mechanistic explanations are lacking. Additionally, there is no consensus on the imaging or behavioral measures of neurofeedback success. The review suggests considering whole-brain neural correlates of music stimuli and their interaction with target brain networks and reward mechanisms when designing music-neurofeedback studies. Ultimately, this review aims to serve as a valuable resource for researchers, facilitating a deeper understanding of music's role in neurofeedback and guiding future investigations.

    Keywords: Neurofeedback, Music, interface, Reward, BCI

    Received: 22 Oct 2024; Accepted: 11 Feb 2025.

    Copyright: © 2025 Sayal, Direito, Sousa, Singer and Castelo-Branco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Alexandre Sayal, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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