4.5 Editorial Material

Mobile brain/body Imaging in dance: A dynamic transdisciplinary field for applied research

Journal

EUROPEAN JOURNAL OF NEUROSCIENCE
Volume 54, Issue 12, Pages 8355-8363

Publisher

WILEY
DOI: 10.1111/ejn.14866

Keywords

dance therapy; mobile EEG; motor learning; neuroplasticity

Categories

Funding

  1. Social Sciences and Humanities Research Council of Canada [752-2017-2515]
  2. Natural Sciences and Engineering Research Council of Canada
  3. Mitacs
  4. VISTA

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The neuroscience of dance is a growing field focusing on the impact of dance on health and well-being. Researchers face challenges in identifying mechanisms involved in dance due to its multimodal nature, which requires simultaneous engagement of motor and cognitive domains. By utilizing mobile brain/body imaging technology, real-time changes in brain dynamics and behavior during dance can be investigated, offering potential for new insights in this emerging field.
Neuroscience of dance is an emerging field with important applications related to health and well-being, as dance has shown potential to foster adaptive neuroplasticity and is increasingly popular as a therapeutic activity or adjunct therapy for people living with conditions such as Parkinson's and Alzheimer's diseases. However, the multimodal nature of dance presents challenges to researchers aiming to identify mechanisms involved when dance is used to combat neurodegeneration or support healthy ageing. Requiring simultaneous engagement of motor and cognitive domains, dancing includes coordination of systems involved in timing, memory and spatial learning. Studies on dance to this point rely primarily on assessments of brain dynamics and structure through pre/post-tests or studies on expertise, as traditional brain imaging modalities restrict participant movement to avoid movement-related artefacts. In this paper, we describe the process of designing and implementing a study that uses mobile brain/body imaging (MoBI) to investigate real-time changes in brain dynamics and behaviour during the process of learning and performing a novel dance choreography. We show the potential for new insights to emerge from the coordinated collection of movement and brain-based data, and the implications of these in an emerging field whose medium is motion.

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