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Topological analysis of functional connectivity in Parkinson’s disease

Parkinson’s disease (PD) is a clinically heterogeneous disorder, which mainly affects patients’ motor and non-motor function. Functional connectivity was preliminary explored and studied through resting state functional magnetic resonance imaging (rsfMRI). Through the topological analysis of 54 PD s...

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Bibliographic Details
Published in:Frontiers in neuroscience 2023-08, Vol.17, p.1236128-1236128
Main Authors: Zhang, Weiwei, Xia, Shengxiang, Tang, Xinhua, Zhang, Xianfu, Liang, Di, Wang, Yinuo
Format: Article
Language:English
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Summary:Parkinson’s disease (PD) is a clinically heterogeneous disorder, which mainly affects patients’ motor and non-motor function. Functional connectivity was preliminary explored and studied through resting state functional magnetic resonance imaging (rsfMRI). Through the topological analysis of 54 PD scans and 31 age-matched normal controls (NC) in the Neurocon dataset, leveraging on rsfMRI data, the brain functional connection and the Vietoris-Rips (VR) complex were constructed. The barcodes of the complex were calculated to reflect the changes of functional connectivity neural circuits (FCNC) in brain network. The 0-dimensional Betti number β 0 means the number of connected branches in VR complex. The average number of connected branches in PD group was greater than that in NC group when the threshold δ  ≤ 0.7. Two-sample Mann–Whitney U test and false discovery rate (FDR) correction were used for statistical analysis to investigate the FCNC changes between PD and NC groups. In PD group, under threshold of 0.7, the number of FCNC involved was significantly differences and these brain regions include the Cuneus_R, Lingual_R, Fusiform_R and Heschl_R. There are also significant differences in brain regions in the Frontal_Inf_Orb_R and Pallidum_R, when the threshold increased to 0.8 and 0.9 ( p  
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2023.1236128