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Related Experiment Video

Updated: Jun 9, 2025

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
08:23

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Dynamical network-based evaluation for neuromuscular dysfunction in stroke-induced hemiplegia during standing.

Jinping Li1, Na Zhang2, Ying Xu1

  • 1Department of Neurological Rehabilitation, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School of Nanjing Medical University, Suzhou, 215000, China.

Journal of Neuroengineering and Rehabilitation
|October 25, 2024
PubMed
Summary

Stroke survivors exhibit altered muscle coordination during standing, with more coupled dynamics and compensatory muscle activity. This enhanced coordination is linked to poorer postural control, highlighting neuromuscular dysfunction after stroke.

Keywords:
HemiplegiaMuscle networksNeuromuscular dysfunctionPostural controlStrokeSurface electromyogram

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Precise multi-muscle coordination, controlled by the central nervous system, is essential for movement.
  • Neuromuscular control and multi-muscle coordination during standing in post-stroke hemiplegic patients remain poorly understood.
  • This study investigates hemiplegia-induced neuromuscular dysfunction using a novel network approach.

Purpose of the Study:

  • To analyze multi-muscle dynamical coordination during standing in post-stroke hemiplegic patients.
  • To identify hemiplegia-linked neuromuscular dysfunction using a weighted recurrence network (WRN) approach.
  • To assess the contribution of individual muscles to coordination using network centrality measures.

Main Methods:

  • Employed a weighted recurrence network (WRN) approach to analyze surface electromyography (sEMG) signals from 16 muscles.
  • Calculated network topological parameters (clustering coefficient, average shortest path length) and node centrality (degree of centrality).
  • Recorded center of pressure (COP) data during quiet standing in 10 hemiplegic patients and 10 healthy controls.

Main Results:

  • Hemiplegic patients displayed higher muscle activation similarity and more coupled intermuscular dynamics (higher C, lower L) compared to controls.
  • Affected-side muscles showed decreased centrality (DC), while unaffected-side muscles showed increased centrality.
  • Reduced visual feedback intensified muscle coordination and involvement, correlating with decreased COP areas.

Conclusions:

  • Stroke significantly impacts neuromuscular control, leading to coupled intermuscular dynamics and compensatory muscle activity.
  • Enhanced multi-muscle coordination in hemiplegia is associated with impaired postural control.
  • The WRN approach offers a novel tool for evaluating neuromuscular dysfunction and identifying key muscles in post-stroke patients.