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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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Autores principales: Zhang, Weiwei, Xia, Shengxiang, Tang, Xinhua, Zhang, Xianfu, Liang, Di, Wang, Yinuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481708/
https://www.ncbi.nlm.nih.gov/pubmed/37680970
http://dx.doi.org/10.3389/fnins.2023.1236128
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author Zhang, Weiwei
Xia, Shengxiang
Tang, Xinhua
Zhang, Xianfu
Liang, Di
Wang, Yinuo
author_facet Zhang, Weiwei
Xia, Shengxiang
Tang, Xinhua
Zhang, Xianfu
Liang, Di
Wang, Yinuo
author_sort Zhang, Weiwei
collection PubMed
description 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 < 0.05). In addition, when the length of FCNC was medium, there was a significant statistical difference between the PD group and the NC group in the Neurocon dataset and the Parkinson’s Progression Markers Initiative (PPMI) dataset. Topological analysis based on rsfMRI data may provide comprehensive information about the changes of FCNC and may provide an alternative for clinical differential diagnosis.
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spelling pubmed-104817082023-09-07 Topological analysis of functional connectivity in Parkinson’s disease Zhang, Weiwei Xia, Shengxiang Tang, Xinhua Zhang, Xianfu Liang, Di Wang, Yinuo Front Neurosci Neuroscience 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 < 0.05). In addition, when the length of FCNC was medium, there was a significant statistical difference between the PD group and the NC group in the Neurocon dataset and the Parkinson’s Progression Markers Initiative (PPMI) dataset. Topological analysis based on rsfMRI data may provide comprehensive information about the changes of FCNC and may provide an alternative for clinical differential diagnosis. Frontiers Media S.A. 2023-08-23 /pmc/articles/PMC10481708/ /pubmed/37680970 http://dx.doi.org/10.3389/fnins.2023.1236128 Text en Copyright © 2023 Zhang, Xia, Tang, Zhang, Liang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhang, Weiwei
Xia, Shengxiang
Tang, Xinhua
Zhang, Xianfu
Liang, Di
Wang, Yinuo
Topological analysis of functional connectivity in Parkinson’s disease
title Topological analysis of functional connectivity in Parkinson’s disease
title_full Topological analysis of functional connectivity in Parkinson’s disease
title_fullStr Topological analysis of functional connectivity in Parkinson’s disease
title_full_unstemmed Topological analysis of functional connectivity in Parkinson’s disease
title_short Topological analysis of functional connectivity in Parkinson’s disease
title_sort topological analysis of functional connectivity in parkinson’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481708/
https://www.ncbi.nlm.nih.gov/pubmed/37680970
http://dx.doi.org/10.3389/fnins.2023.1236128
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