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ORIGINAL RESEARCH article

Front. Hum. Neurosci.

Sec. Motor Neuroscience

Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1443730

This article is part of the Research Topic The Neuroscience of Parkinson's Disease: Exploring Causes, Symptoms, and Potential Treatments View all 8 articles

Increasing Mu Wave Desynchronization after Movement Therapy on people with Parkinson's Disease

Provisionally accepted
  • 1 Programa de Pósgraduação em Neurociências, ICS, Universidade Federal do Pará, Belém, Brazil
  • 2 Faculdade de Meteorologia, IG, Universidade Federal do Pará, Belém, Brazil
  • 3 Faculdade de Dança, ICA, Universidade Federal do Pará, Belém, Brazil

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

    This pilot study attempts to identify a relation between dance and Mirror Neuron activity in people with Parkinson's Disease by investigating Mu rhythm desynchronization in Electroencephalographic (EEG) data before and after regular participation in a program of dance classes. During the EEG recordings, the participants observed a sequence of videos showing either choreographic (complex) or daily (simple) movements, each preceded by a baseline image (dark screen) and a control video (moving blocks). The results showed a statistically significant increase of Mu rhythm desynchronization at the alpha 1 band at the Central channels, after six months of dance classes. Control comparisons with Occipital channels showed no such increase. The mu rhythm suppression has been demonstrated to reflect the activity of the human mirror neuron system, responds to variations in motor expertise and seem to be impaired in Parkinson's disease. The Mu wave desynchronization increases shown here, after six months of dance classes, is an objective measurement of the benefits of such practice for people with PD.

    Keywords: mu-rhythm, Event-Related Desynchronization, Parkinson's disease, mirror neuron system, dance

    Received: 05 Jun 2024; Accepted: 18 Feb 2025.

    Copyright: © 2025 Vilhalva, Imbiriba, Krejcova and Bahia. 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:
    Breno Cesar de Oliveira Imbiriba, Faculdade de Meteorologia, IG, Universidade Federal do Pará, Belém, Brazil
    Carlomagno Pacheco Bahia, Programa de Pósgraduação em Neurociências, ICS, Universidade Federal do Pará, Belém, Brazil

    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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