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Related Experiment Video

Updated: Jan 17, 2026

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
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2.9K

Neurophysiological insights into sit-to-stand post stroke.

Caitlin McDonald1, John Jairo Villarejo Mayor1, Olive Lennon1

  • 1School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.

Frontiers in Neuroscience
|September 18, 2025
PubMed
Summary
This summary is machine-generated.

Stroke survivors exhibit delayed muscle activation and altered brain activity during sit-to-stand movements compared to healthy individuals. These findings suggest personalized brain-computer interface (BCI) training for stroke recovery.

Keywords:
EEGEMGcorticomuscular coherencesit-to-standstroke

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomechanics

Background:

  • Stroke frequently impairs independent sit-to-stand ability, often leading to compensatory movement strategies.
  • The neurophysiological underpinnings of sit-to-stand disability post-stroke and the specific brain injury impacts are not well understood.

Purpose of the Study:

  • To investigate the neurophysiological mechanisms of sit-to-stand transfers in stroke survivors.
  • To compare kinematic, muscle activation, and cortical activity patterns between stroke survivors and healthy adults during sit-to-stand transitions.

Main Methods:

  • Ten stroke survivors and ten healthy adults performed sit-to-stand transitions.
  • Three-dimensional kinematic data, electromyography (EMG) of key leg muscles, and electroencephalography (EEG) over the sensorimotor cortex were recorded.

Main Results:

  • Stroke survivors were slower but used similar movement phases and temporal muscle activation patterns.
  • Delayed peak activation was observed in the vastus lateralis and biceps femoris muscles in stroke survivors.
  • Stroke survivors showed variable EEG patterns, reduced alpha/beta band synchronization, and increased interhemispheric asymmetry compared to controls.

Conclusions:

  • While muscle activation timing is similar, peak activity is delayed in stroke survivors.
  • EEG data reveals distinct cortical control differences, including variable event-related spectral perturbation (ERSP) patterns and hemispheric asymmetry.
  • Findings suggest potential biomarkers for stroke recovery and the need for individualized brain-computer interface (BCI) training for sit-to-stand tasks.