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Published in: Brain Topography 2/2023

05-01-2023 | Stroke | Original Paper

Changes in Resting-State Neural Activity and Nerve Fibres in Ischaemic Stroke Patients with Hemiplegia

Authors: Xuejin Cao, Zan Wang, Xiaohui Chen, Yanli Liu, Idriss Ali Abdoulaye, Shenghong Ju, Shiyao Zhang, Shanshan Wu, Yuancheng Wang, Yijing Guo

Published in: Brain Topography | Issue 2/2023

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Abstract

Many neuroimaging studies have reported that stroke induces abnormal brain activity. However, little is known about resting-state networks (RSNs) and the corresponding white matter changes in stroke patients with hemiplegia. Here, we utilized functional magnetic resonance imaging (fMRI) to measure neural activity and related fibre tracts in 14 ischaemic stroke patients with hemiplegia and 12 healthy controls. Fractional amplitude of low-frequency fluctuations (fALFF) calculation and correlation analyses were used to assess the relationship between regional neural activity and movement scores. Tractography was performed using diffusion tensor imaging (DTI) data to analyse the fibres passing through the regions of interest. Compared with controls, stroke patients showed abnormal functional connectivity (FC) between some brain regions in the RSNs. The fALFF was increased in the contralesional parietal lobe, with the regional fALFF being correlated with behavioural scores in stroke patients. Additionally, the passage of fibres across regions with reduced FC in the RSNs was increased in stroke patients. This study suggests that structural remodelling of functionally relevant white matter tracts is probably an adaptive response that compensates for injury to the brain.
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Metadata
Title
Changes in Resting-State Neural Activity and Nerve Fibres in Ischaemic Stroke Patients with Hemiplegia
Authors
Xuejin Cao
Zan Wang
Xiaohui Chen
Yanli Liu
Idriss Ali Abdoulaye
Shenghong Ju
Shiyao Zhang
Shanshan Wu
Yuancheng Wang
Yijing Guo
Publication date
05-01-2023
Publisher
Springer US
Keywords
Stroke
Hemiplegia
Published in
Brain Topography / Issue 2/2023
Print ISSN: 0896-0267
Electronic ISSN: 1573-6792
DOI
https://doi.org/10.1007/s10548-022-00937-6

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