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Related Experiment Video

Updated: Jun 9, 2025

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients.

C O Muller^1,2, G Faity¹, M Muthalib^1,2,3

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.

Keywords:

Neuroplasticity Reaching and tracing tasks Sensorimotor cortex Stroke Upper limb fEEG fNIRS

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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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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies

Published on: October 11, 2024

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.