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Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

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ASPECTS as a surrogate marker of core-perfusion mismatch in late-window large vessel occlusion stroke.

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Related Experiment Video

Updated: Sep 24, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

989

Preparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke.

Mitsouko van Assche1, Julian Klug1, Elisabeth Dirren1

  • 1Stroke Research Group, Department of Clinical Neurosciences, University Hospital and Faculty of Medicine, Geneva, Switzerland (M.v.A., J.K., E.D., E.C.).

Stroke
|May 9, 2022
PubMed
Summary
This summary is machine-generated.

The brain may become more resilient after a first stroke, enhancing network adaptability to future insults. This finding suggests potential for new stroke therapies focused on fostering brain resilience.

Keywords:
connectivitygraphmagnetic resonance imagingmotor cortexrecoveryresiliencestroke

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Last Updated: Sep 24, 2025

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Clinical Neurology

Background:

  • Recurrent strokes pose significant clinical challenges, yet the brain's response to a potential second stroke remains poorly understood.
  • Acquiring suitable patient data for studying recurrent strokes is difficult due to lesion variability and unpredictable timing.
  • The brain's capacity to adapt and become more resilient after an initial stroke is an open question.

Purpose of the Study:

  • To investigate whether brain networks increase in resilience during stroke recovery.
  • To test the hypothesis that the brain prepares for future insults after a first stroke.
  • To explore the potential for enhancing brain resilience as a therapeutic strategy.

Main Methods:

  • Utilized a novel clinical lesion simulation approach on a cohort of 16 patients with primary motor cortex lesions.
  • Employed resting-state functional magnetic resonance imaging (rs-fMRI) to analyze brain networks at 10 days, 3 weeks, and 3 months post-stroke.
  • Simulated recurrent infarcts by node deletion in brain networks and applied graph measures to assess resilience and network cost.

Main Results:

  • Brain network resilience in patients was comparable to controls at 10 days and 3 weeks post-stroke.
  • At 3 months, patients demonstrated significantly higher resilience to simulated cortical, subcortical, and cortico-subcortical lesions compared to controls.
  • Increased resilience was observed irrespective of whether simulated attacks were random or targeted.

Conclusions:

  • Brain networks can reconfigure to enhance resilience against future insults following a stroke, particularly in cases with primary motor cortex lesions.
  • Lesion simulation presents an innovative method for studying stroke recovery and network adaptation.
  • Findings suggest potential for developing individualized neuromodulation therapies to promote brain resilience and mitigate consequences of subsequent strokes.