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Related Experiment Video

Updated: May 14, 2026

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

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.

Sihong Wei, Mingfang Chen, Lianchi Huang

    IEEE Journal of Biomedical and Health Informatics
    |May 12, 2026
    PubMed
    Summary

    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.

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    Last Updated: May 14, 2026

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    Published on: September 1, 2023

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    11:31

    Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

    Published on: December 5, 2014

    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.