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Related Experiment Video

Updated: Sep 4, 2025

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

Xuhong Li1, Feng Fang2, Rihui Li2,3

  • 1Department of Rehabilitation Medicine, The Third Xiangya Hospital, Central South University, Changsha, China.

Frontiers in Bioengineering and Biotechnology
|July 14, 2022
PubMed
Summary
This summary is machine-generated.

Stroke survivors often experience motor control deficits. This study used functional brain controllability analysis to reveal reduced control in stroke patients' executive control network and supplementary motor area, correlating with motor impairment.

Keywords:
EEGbrain controllabilityfNIRS (functional near infrared spectroscopy)motor controlstroke

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Systems Biology

Background:

  • Motor control deficits are prevalent in stroke survivors, leading to significant disability.
  • Current clinical assessments of motor impairments are subjective and lack objective interpretation.
  • A novel approach is needed to precisely quantify motor control deficits from a systems perspective.

Purpose of the Study:

  • To assess stroke-induced motor control deficits using functional brain controllability analysis.
  • To investigate the differences in brain network control between stroke patients and healthy individuals.
  • To correlate brain controllability measures with clinical motor function scores.

Main Methods:

  • Simultaneous electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recordings during a hand-clenching task.
  • fNIRS-informed EEG source imaging to estimate cortical activity and construct functional brain networks.
  • Application of network control theory to evaluate modal controllability of key motor regions and the executive control network.

Main Results:

  • Stroke patients exhibited significantly lower modal controllability in the executive control network (p = 0.03) and supplementary motor area (p = 0.02) compared to healthy subjects.
  • Baseline modal controllability of the primary motor cortex showed a significant positive correlation with clinical motor function scores (r = 0.58, p = 0.01).

Conclusions:

  • Functional brain controllability analysis offers a novel, objective method for understanding stroke-related motor control impairments.
  • Reduced network control in specific brain regions is associated with motor deficits post-stroke.
  • This methodology holds potential for assessing other neurological and psychiatric disorders involving control impairments.