EEG dynamical features during variable-intensity cycling exercise in Parkinson’s disease
This study highlights the feasibility of using EEG-derived features to track exercise intensity in PD patients, identifying specific neural markers correlating with varying intensity levels. PD subjects demonstrate less inter-subject variability in motor responses to increasing intensity. Our results suggest that EEG biomarkers can be used to assess differing brain involvement with the same exercise of increasing intensity, potentially useful for guiding targeted therapeutic strategies and maximizing the neurological benefits of exercise in PD.
Authors
- Zahra Alizadeh (ORCID: https://orcid.org/0000-0003-3818-694X)
- Martin J. McKeown (ORCID: https://orcid.org/0000-0002-4048-0817)
- Maryam S. Mirian (ORCID: https://orcid.org/0000-0001-5411-9902)
- Silke Appel‐Cresswell (ORCID: https://orcid.org/0000-0002-5986-1468)
- Danielle Murray (ORCID: https://orcid.org/0000-0001-5224-331X)
- Matthew Sacheli (ORCID: https://orcid.org/0000-0002-7521-7357)
- Emad Arasteh (ORCID: https://orcid.org/0009-0001-8072-9322)
Institutions
- University of British Columbia (CA)
- University of Tehran (IR)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2025-04-28
- DOI
- https://doi.org/10.3389/fnhum.2025.1571106
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00