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Updated: Jan 17, 2026

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
Published on: July 26, 2021
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.
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.
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.
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