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Related Experiment Video

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Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

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Published on: October 10, 2025

Patterns in cortical connectivity for determining outcomes in hand function after subcortical stroke.

Dazhi Yin1, Fan Song, Dongrong Xu

  • 1Shanghai Key Laboratory of Magnetic Resonance, Key Laboratory of Brain Function Genomics, East China Normal University, Shanghai, China.

Plos One
|January 4, 2013
PubMed
Summary

Stroke recovery reveals distinct brain connectivity patterns. Reduced connectivity in primary motor cortex (M1) regions correlates with hand function outcomes in subcortical stroke patients.

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Last Updated: May 15, 2026

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09:10

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Published on: February 22, 2020

Area of Science:

  • Neuroscience
  • Neurology
  • Rehabilitation Medicine

Background:

  • Stroke significantly impacts motor recovery, with resting-state functional connectivity changes observed.
  • Existing research shows varied motor recovery patterns post-stroke.
  • Subgroups of stroke patients with differing hand function outcomes remain understudied.

Purpose of the Study:

  • To investigate differences in functional connectivity patterns between stroke patient subgroups with varying hand paralysis.
  • To explore neural correlates of hand function recovery after subcortical stroke.

Main Methods:

  • Selected 24 subcortical stroke patients (12 completely paralyzed hands [CPH], 12 partially paralyzed hands [PPH]) and 24 healthy controls (HC).
  • Conducted functional connectivity analysis of ipsilesional and contralesional primary motor cortex (M1).
  • Compared connectivity patterns across CPH, PPH, and HC groups.

Main Results:

  • PPH patients showed reduced M1 connectivity with prefrontal gyrus and cerebellum compared to HC.
  • CPH patients exhibited reduced M1 connectivity with contralateral sensorimotor cortex.
  • CPH patients had less M1 connectivity with parietal regions compared to PPH patients.
  • Connectivity in these regions positively correlated with hand function scores (Fugl-Meyer Assessment).

Conclusions:

  • Cortical connectivity patterns differ significantly between stroke patient subgroups with varying hand function.
  • These connectivity patterns may serve as biomarkers for predicting hand function outcomes after subcortical stroke.