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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.
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.
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.
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