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Updated: Feb 8, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Disrupted functional network integrity and flexibility after stroke: Relation to motor impairments
Sara Larivière1, Nick S Ward2, Marie-Hélène Boudrias3
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, Qc, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, Qc, Canada.
Stroke patients show altered brain network connectivity during hand movements, with reduced motor network activation and impaired switching between motor and default-mode networks. Improving motor control may enhance network flexibility and recovery.
Area of Science:
- Neuroscience
- Neurorehabilitation
- Motor Control
Background:
- Previous research focused on primary motor cortex (M1) activation after stroke.
- Limited understanding of large-scale network integration for motor, sensory, and cognitive control post-stroke.
- Need to investigate dynamic functional connectivity in whole-brain networks during motor tasks.
Purpose of the Study:
- To assess non-static functional connectivity within whole-brain networks during isometric hand grips in stroke survivors.
- To identify differences in network activity and coordination between stroke patients and healthy controls.
- To explore the relationship between network alterations and motor impairment severity.
Main Methods:
- Functional MRI (fMRI) was used in 17 stroke patients and 24 healthy controls.
- Participants performed visually-paced isometric hand grips.
- Task-based multivariate functional connectivity analysis was applied to assess spatial and temporal network dynamics and group differences.
Main Results:
- Stroke patients exhibited reduced task-related activation in the motor network (including M1) compared to controls.
- Patients showed less deactivation in the default-mode network (DMN) during the task.
- Decreased ipsilesional sensorimotor cortex activity in patients correlated with better motor function; impaired DMN deactivation suggests difficulty switching networks.
Conclusions:
- Stroke impacts large-scale brain network organization during motor tasks, affecting both motor and default-mode networks.
- Impaired network switching may hinder motor recovery.
- Modulating ipsilesional sensorimotor activity could improve motor network integrity, performance, and network flexibility for enhanced stroke recovery.
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