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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
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Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients
C O Muller1,2, G Faity1, M Muthalib1,2,3
1EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France.
Journal of Neuroengineering and Rehabilitation
|October 23, 2024
Summary
Stroke survivors show over-activated brain patterns and increased trunk movement during upper limb (UL) tasks, indicating compensatory strategies. Combined neuroimaging (fNIRS-fEEG) and kinematics can track recovery post-stroke.
Area of Science:
- Neuroscience
- Rehabilitation Science
- Biomedical Engineering
Background:
- Stroke recovery involves brain reorganization, compensatory strategies, and motor performance changes.
- Functional near-infrared spectroscopy (fNIRS) and electroencephalography (fEEG) measure brain activity via hemodynamic and electrical signals, respectively.
- Simultaneous fNIRS-fEEG during movement aids spatiotemporal brain mapping and understanding upper limb (UL) recovery mechanisms.
Purpose of the Study:
- To map motor cortical activity using combined fNIRS-fEEG.
- To investigate the relationship between brain activity, motor performance, and compensatory strategies in chronic stroke patients during UL tasks.
Main Methods:
- Twenty-one chronic stroke patients and 21 healthy adults performed standardized UL tasks (reaching, circular steering).
- Simultaneous recording of bilateral motor cortex activity via fNIRS-fEEG and kinematic parameters.
- Assessment of motor performance and compensatory movements (e.g., trunk usage).
Main Results:
- Stroke patients exhibited poorer performance in the circular steering task and increased trunk compensation in both tasks.
- Individuals with stroke showed over-activation in bilateral motor cortices during paretic UL reaching.
- This over-activation correlated with greater trunk usage and higher clinical impairment scores.
Conclusions:
- Combined fNIRS-fEEG and kinematics reveal altered motor control and compensatory strategies in chronic stroke.
- Stroke patients exhibit compensatory trunk movements and distinct brain activation patterns.
- This multimodal approach offers potential for enhanced tracking and understanding of stroke rehabilitation.

