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Cortical-striatal network functional connectivity markers in poststroke fatigue: a single-centre fMRI case-control

Wai Kwong Tang1, Edward Sai Kam Hui2,3, Wai H Leung4

  • 1Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China tangwk@cuhk.edu.hk.

BMJ Open
|August 14, 2024
PubMed
Summary

This large-scale fMRI study investigates poststroke fatigue (PSF) by examining functional connectivity (FC) in the cortical-striatal network (CSN). Findings will elucidate the role of CSN FC in PSF pathogenesis and severity.

Keywords:
FatigueFunctional Magnetic Resonance ImagingStroke

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Area of Science:

  • Neuroscience
  • Neurology
  • Radiology

Background:

  • Fatigue is a common symptom following stroke, impacting patient recovery.
  • Abnormalities in the cortical-striatal network (CSN) are implicated in neurological fatigue.
  • Previous functional MRI (fMRI) studies on poststroke fatigue (PSF) have been small-scale.

Purpose of the Study:

  • To conduct a large-scale fMRI study to investigate the role of CSN functional connectivity (FC) in PSF.
  • To examine the relationship between CSN FC and the severity of PSF.
  • To explore structural connectivity and microstructural changes in the CSN of stroke survivors with PSF.

Main Methods:

  • Prospective cohort study with 738 participants.
  • Assessment of PSF using the Fatigue Severity Scale (FSS) at 3 months post-stroke.
  • Comprehensive MRI including structural, resting-state fMRI, and diffusion tensor imaging.

Main Results:

  • Analysis of FC, structural connectivity, and diffusion metrics within the CSN.
  • Voxel-wise two-sample t-tests with FDR correction to identify significant differences.
  • Correlation of CSN metrics with PSF severity.

Conclusions:

  • This study aims to provide novel insights into the neurobiological underpinnings of PSF.
  • Findings are expected to inform potential therapeutic targets for managing fatigue after stroke.
  • Results will be disseminated through publications and conferences.