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Updated: Oct 14, 2025

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Disrupted cortico-peripheral interactions in motor disorders.

Shi-Chun Bao1, Cheng Chen1, Kai Yuan1

  • 1Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|November 8, 2021
PubMed
Summary

Altered cortico-peripheral interactions are key indicators of motor disorders. Measuring this coupling offers new insights into motor control and recovery across various neurological conditions.

Keywords:
Corticokinematic couplingCorticomuscular coherenceMotor disordersParkinson’s diseaseStroke

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Area of Science:

  • Neuroscience
  • Motor Control Research
  • Rehabilitation Science

Background:

  • Motor disorders stem from neurological damage affecting the motor control system.
  • Altered cortico-peripheral interactions are crucial indicators of motor dysfunction.
  • Cortico-peripheral coupling measures integrate central and peripheral responses for deeper insights.

Purpose of the Study:

  • To review the neural underpinnings of cortico-peripheral interactions.
  • To explore corticomuscular and corticokinematic coupling measures.
  • To summarize methodological advancements in modeling neural coupling.

Main Methods:

  • Discussion of linear and nonlinear approaches for neural coupling modeling.
  • Review of methodologies to enhance modeling reliability.
  • Integration of cortical and peripheral response data.

Main Results:

  • Altered coupling strength, directionality, and activation patterns characterize motor dysfunction.
  • Modified cortico-peripheral interactions are observed in conditions like stroke and neurodegenerative diseases.
  • Rehabilitation interventions can alter these interaction patterns.

Conclusions:

  • Cortico-peripheral coupling measures offer valuable insights into motor control and recovery.
  • More robust estimation methodologies and multimodal neurophysiological approaches are needed.
  • Future large-scale studies are essential to validate clinical reliability.