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Updated: May 14, 2026

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
Published on: September 1, 2023
Altered Sensorimotor Lateralization and Cross-modal Consistency in Stroke: A Simultaneous EEG-fNIRS Study
Stroke recovery shows reduced sensorimotor pathway consistency between brain activity and blood flow. This study used electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to reveal altered brain reorganization after stroke.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Stroke frequently causes motor deficits due to sensorimotor pathway disruption and altered cortical lateralization.
- Understanding neural reorganization post-stroke is crucial, but consistency between neural and hemodynamic levels remains unclear.
Purpose of the Study:
- To investigate cross-modal consistency between electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) in stroke patients.
- To assess sensorimotor pathway reorganization and its correlation with motor impairment.
Main Methods:
- Simultaneous EEG and fNIRS recordings during unilateral handgrip tasks in stroke patients and healthy controls.
- Calculation of lateralization index (LI) from event-related desynchronization (ERD) and oxygenated hemoglobin (HbO) responses.
- Development of a cross-modal lateralization consistency index (cmLCI) to quantify EEG-fNIRS correspondence.
Main Results:
- Stroke patients showed altered hemodynamic responses (HbO) but no significant difference in neural LI compared to controls.
- Reduced event-related desynchronization (ERD) and LI in the beta band during affected-hand movement in stroke patients.
- Significantly reduced alpha and beta band cmLCI in stroke patients, particularly during affected-hand movement.
- Beta-band cmLCI positively correlated with Fugl-Meyer scores, indicating association with motor impairment.
Conclusions:
- Sensorimotor lateralization and its electrophysiological-hemodynamic consistency are altered after stroke.
- The proposed cmLCI effectively captures these alterations and correlates with clinical motor impairment.
- cmLCI shows potential as a multimodal indicator for assessing post-stroke cortical reorganization and motor deficits.
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