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Related Experiment Video

Updated: Sep 5, 2025

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
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Task-State Cortical Motor Network Characteristics by Functional Near-Infrared Spectroscopy in Subacute Stroke Show

Ziwen Yuan1,2, Weiwei Xu1, Jiameng Bao1

  • 1Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, China.

Frontiers in Aging Neuroscience
|July 11, 2022
PubMed
Summary

Stroke reorganizes brain networks, with distinct changes in dominant vs. non-dominant hemisphere stroke. Mesoscale network properties, unlike macroscale ones, differed significantly between left hemisphere stroke (LHS) and right hemisphere stroke (RHS) patients.

Keywords:
brain networkfNIRShemispheric dominancemotorstroketask-state

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Clinical Neurology

Background:

  • Stroke leads to brain network reorganization, impacting cortical and subcortical regions.
  • Studies have explored functional connectivity (FC) differences between dominant and non-dominant hemisphere strokes.
  • Understanding these hemispheric differences is crucial for targeted stroke rehabilitation.

Purpose of the Study:

  • To investigate hemispheric dominance differences in task-state motor network properties in subacute stroke patients.
  • To utilize functional near-infrared spectroscopy (fNIRS) for analyzing brain network characteristics.
  • To compare macroscale and mesoscale brain network indicators between dominant and non-dominant hemisphere stroke.

Main Methods:

  • Enrolled patients with first ischemic stroke in the basal ganglia (1-3 months post-onset) and age/sex-matched healthy subjects (HS).
  • Employed 29-channel fNIRS to measure oxyhemoglobin changes during a hand grasping task.
  • Applied graph theory to analyze motor cortex activation, macroscale, and mesoscale brain network indicators, comparing left hemisphere stroke (LHS), right hemisphere stroke (RHS), and HS groups.

Main Results:

  • Both LHS and RHS groups exhibited bilateral activation.
  • Patients showed lower global efficiency and weighted clustering coefficient, and higher inter-density compared to HS, with variations between LHS and RHS.
  • Mesoscale network indicators, unlike macroscale ones, showed distinct changes between LHS and RHS, with differing correlations to motor function.

Conclusions:

  • Macroscale cortical network changes were similar in LHS and RHS patients.
  • Mesoscale brain network characteristics differed significantly between LHS and RHS, indicating distinct recovery patterns.
  • The severity of dysfunction influenced mesoscale network properties differently in LHS versus RHS patients.