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15 December 2019 : Clinical Research  

Different Patterns of Functional Connectivity Alterations Within the Default-Mode Network and Sensorimotor Network in Basal Ganglia and Pontine Stroke

Huiyou Chen1ABCDEF, Mengye Shi1ABC, Hong Zhang2BCD, Ying-Dong Zhang3CDE, Wen Geng1BCD, Liang Jiang1BC, Zhengqian Wang4AEF*, Yu-Chen Chen1AE, Xindao Yin1FG

DOI: 10.12659/MSM.918185

Med Sci Monit 2019; 25:9585-9593


BACKGROUND: The aim of this study was to investigate whether patients with basal ganglia stroke and patients with pontine stroke have different types of functional connectivity (FC) alterations in the early chronic phase.

MATERIAL AND METHODS: We included 14 patients with pontine stroke, 17 patients with basal ganglia stroke, and 20 well-matched healthy controls (HCs). All of them underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning. The independent component analysis (ICA) approach was applied to extract information regarding the default-mode network (DMN), including anterior DMN (aDMN) and posterior DMN (pDMN) components and the sensorimotor network (SMN).

RESULTS: Compared with HCs, patients with basal ganglia stroke exhibited significantly reduced FC in the left precuneus of the pDMN, right supplementary motor area (SMA), and right superior frontal gyrus (SFG) of the SMN. Additionally, FC in the left medial prefrontal gyrus (MFG) of the aDMN, right precuneus and right posterior cingulate cortex (PCC) of the pDMN, and left middle cingulate gyrus (mid-CC) of the SMN decreased in patients with pontine stroke.

CONCLUSIONS: The different patterns of FC damage in patients with basal ganglia stroke and patients with pontine stroke in the early chronic phase may provide a new method for investigating lesion-induced network plasticity.

Keywords: functional neuroimaging, Magnetic Resonance Imaging, Stroke, Aged, basal ganglia, Brain, Brain Mapping, Brain Stem Infarctions, Connectome, Middle Aged, Neural Pathways, Rest, sensorimotor cortex

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750