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Related Concept Videos

Cerebral Hemispheres01:05

Cerebral Hemispheres

234
The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
234

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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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Post-Stroke Corticomuscular Coupling Assessment Based on Bilateral Cerebral Hemisphere Difference.

Hui Chang, Rong Xin, Yixuan Sheng

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |May 2, 2025
    PubMed
    Summary

    This study introduces a new Corticomuscular Coupling (CMC) indicator to assess motor function after stroke. The novel CMC indicator showed a strong correlation with clinical outcomes, offering better insights into stroke-related motor impairments.

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    Area of Science:

    • Neuroscience
    • Rehabilitation Medicine
    • Biomedical Engineering

    Background:

    • Corticomuscular coupling (CMC) quantifies brain-muscle information exchange during motor control.
    • Existing research on CMC changes post-stroke is inconsistent, necessitating refined assessment methods.

    Purpose of the Study:

    • To propose and validate a novel indicator, CMCdif, for assessing motor function after stroke.
    • To investigate changes in CMC, specifically WCdif and TSEdif, in stroke patients compared to healthy controls.

    Main Methods:

    • Employed wavelet coherence (WCdif) and transfer spectral entropy (TSEdif) analyses to derive CMCdif.
    • Recruited 12 stroke patients and 12 healthy controls performing upper limb isokinetic push-pull movements.
    • Developed a motor function assessment model based on CMCdif indices.

    Main Results:

    • WCdif was significantly higher in stroke patients than in controls.
    • TSEdif was elevated in stroke patients on the efferent pathway but showed no difference on the afferent pathway.
    • The developed CMCdif-based motor function model demonstrated a strong correlation with clinical assessments (R²=0.873, p=0.003).

    Conclusions:

    • The novel CMCdif indicator, combining linear and nonlinear measures, provides valuable insights into CMC alterations post-stroke.
    • This approach enhances the potential for clinical motor function assessment in stroke rehabilitation.
    • Findings contribute to a better understanding of the neural mechanisms underlying motor control deficits after stroke.