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Related Experiment Video

Updated: Oct 28, 2025

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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Structural connectivity changes in the motor execution network after stroke rehabilitation.

Pradeepa Ruwan Wanni Arachchige1, Sadhani Karunarathna1,2, Abdul Chalik Meidian3

  • 1Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.

Restorative Neurology and Neuroscience
|July 19, 2021
PubMed
Summary

This study explored brain network changes after stroke using low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) and occupational therapy (OT). It found significant structural connectivity alterations in both hemispheres, aiding motor recovery understanding.

Keywords:
Low-frequency rTMS and OT interventiongraph theory analysismotor execution networkstroke recoverystructural connectivity

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Medical Imaging

Background:

  • Limited understanding of structural connectivity changes in the motor network post-intervention.
  • Previous studies focused only on selected brain regions, leaving a gap in knowledge regarding overall motor recovery.
  • The complex interplay of brain networks in stroke recovery requires further investigation.

Purpose of the Study:

  • To investigate structural connectivity changes in the motor execution network after a combined intervention of LF-rTMS and intensive OT in stroke patients.
  • To utilize a graph theory approach to analyze these changes.
  • To correlate network alterations with clinical improvements in motor function.

Main Methods:

  • Fifty-six stroke patients were included in the study.
  • Diffusion tensor imaging (DTI) and T1 weighted imaging were performed before and after the intervention.
  • Graph theory analysis was applied to structural connectomes of twenty brain regions.

Main Results:

  • Post-intervention, both ipsilesional and contralesional hemispheres exhibited structural connectivity changes.
  • Increased regional centralities and nodal efficiency were observed in the frontal pole, while the ipsilesional thalamus showed decreased degree centrality and nodal efficiency.
  • Network measures correlated significantly with clinical assessments in various brain regions, including the cuneus, postcentral gyrus, precentral gyrus, putamen, caudate, cerebellum, and frontal pole.

Conclusions:

  • The study expanded the understanding of structural connectivity changes in both hemispheric networks during motor recovery after stroke.
  • Combined LF-rTMS and intensive OT interventions lead to measurable alterations in brain network structure.
  • These findings highlight the potential of multimodal interventions in promoting neuroplasticity and motor function recovery post-stroke.