4.0 Article

Reduced cortico-muscular beta coupling in Parkinson's disease predicts motor impairment

Journal

BRAIN COMMUNICATIONS
Volume 3, Issue 3, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/braincomms/fcab179

Keywords

Parkinson's disease; cortico-muscular coherence; magnetoencephalography

Funding

  1. Wellcome Trust [203130/Z/16/Z, 104571/Z/14/Z, 098282/Z/12/Z]
  2. British Academy
  3. National Institute for Health Research (NIHR) based at Oxford University Hospitals NHS Trust
  4. NIHR Oxford Health Biomedical Research Centre
  5. Wellcome Trust [098282/Z/12/Z] Funding Source: Wellcome Trust

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The study found a significant reduction in beta cortico-muscular coherence in individuals with Parkinson's disease, which was closely related to motor symptoms. This highlights cortico-muscular coherence as a potential neural marker of Parkinson's disease pathology, with implications for monitoring disease progression and evaluating the efficacy of new treatments.
Long-range communication through the motor system is thought to be facilitated by phase coupling between neural activity in the 15-30 Hz beta range. During periods of sustained muscle contraction (grip), such coupling is manifest between motor cortex and the contralateral forearm muscles-measured as the cortico-muscular coherence. We examined alterations in cortico-muscular coherence in individuals with Parkinson's disease, while equating grip strength between individuals with Parkinson's disease (off their medication) and healthy control participants. We show a marked reduction in beta cortico-muscular coherence in the Parkinson's disease group, even though the grip strength was comparable between the two groups. Moreover, the reduced cortico-muscular coherence was related to motor symptoms, so that individuals with lower cortico-muscular coherence also displayed worse motor symptoms. These findings highlight the cortico-muscular coherence as a simple, effective and clinically relevant neural marker of Parkinson's disease pathology, with the potential to aid monitoring of disease progression and the efficacy of novel treatments for Parkinson's disease.

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