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Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait
Objective: This study aimed to explore alterations in the topological properties of the functional brain network in primary Parkinson’s disease (PD) patients with freezing of gait (PD-FOG). Methods: Resting-state functional magnetic resonance imaging (Rs-fMRI) data were obtained in 23 PD-FOG patient...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609969/ https://www.ncbi.nlm.nih.gov/pubmed/33192473 http://dx.doi.org/10.3389/fnagi.2020.580564 |
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author | Ruan, Xiuhang Li, Yuting Li, E. Xie, Fang Zhang, Guoqin Luo, Zhenhang Du, Yuchen Jiang, Xinqing Li, Mengyan Wei, Xinhua |
author_facet | Ruan, Xiuhang Li, Yuting Li, E. Xie, Fang Zhang, Guoqin Luo, Zhenhang Du, Yuchen Jiang, Xinqing Li, Mengyan Wei, Xinhua |
author_sort | Ruan, Xiuhang |
collection | PubMed |
description | Objective: This study aimed to explore alterations in the topological properties of the functional brain network in primary Parkinson’s disease (PD) patients with freezing of gait (PD-FOG). Methods: Resting-state functional magnetic resonance imaging (Rs-fMRI) data were obtained in 23 PD-FOG patients, 33 PD patients without FOG (PD-nFOG), and 24 healthy control (HC) participants. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 90 brain regions, and topological properties were analyzed by using graph theory approaches. The network-based statistics (NBS) method was used to determine the suprathreshold connected edges (P < 0.05; threshold T = 2.725), and statistical significance was estimated by using the non-parametric permutation method (5,000 permutations). Statistically significant topological properties were further evaluated for their relationship with clinical neurological scales. Results: The topological properties of the functional brain network in PD-FOG and PD-nFOG showed no abnormalities at the global level. However, compared with HCs, PD-FOG patients showed decreased nodal local efficiency in several brain regions, including the bilateral striatum, frontoparietal areas, visual cortex, and bilateral superior temporal gyrus, increased nodal local efficiency in the left gyrus rectus. When compared with PD-nFOG patients and HCs, PD-FOG showed increased betweenness centrality in the left hippocampus. Moreover, compared to HCs, both PD-FOG and PD-nFOG patients displayed reduced network connections by using the NBS method, mainly involving the sensorimotor cortex (SM), visual network (VN), default mode network (DMN), auditory network (AN), dorsal attention network (DAN), subcortical regions, and limbic network (LIM). The local node efficiency of the right temporal pole: superior temporal gyrus in PD-FOG patients was positively correlated with the Freezing of Gait Questionnaire (FOGQ) scores. Conclusions: This study demonstrates the disrupted regional topological organization in PD-FOG patients, especially associated with damage to the subcortical regions and multiple cortical regions. Our results provide insights into the dysfunctional mechanisms of the relevant networks and indicate potential neuroimaging biomarkers of PD-FOG. |
format | Online Article Text |
id | pubmed-7609969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76099692020-11-13 Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait Ruan, Xiuhang Li, Yuting Li, E. Xie, Fang Zhang, Guoqin Luo, Zhenhang Du, Yuchen Jiang, Xinqing Li, Mengyan Wei, Xinhua Front Aging Neurosci Neuroscience Objective: This study aimed to explore alterations in the topological properties of the functional brain network in primary Parkinson’s disease (PD) patients with freezing of gait (PD-FOG). Methods: Resting-state functional magnetic resonance imaging (Rs-fMRI) data were obtained in 23 PD-FOG patients, 33 PD patients without FOG (PD-nFOG), and 24 healthy control (HC) participants. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 90 brain regions, and topological properties were analyzed by using graph theory approaches. The network-based statistics (NBS) method was used to determine the suprathreshold connected edges (P < 0.05; threshold T = 2.725), and statistical significance was estimated by using the non-parametric permutation method (5,000 permutations). Statistically significant topological properties were further evaluated for their relationship with clinical neurological scales. Results: The topological properties of the functional brain network in PD-FOG and PD-nFOG showed no abnormalities at the global level. However, compared with HCs, PD-FOG patients showed decreased nodal local efficiency in several brain regions, including the bilateral striatum, frontoparietal areas, visual cortex, and bilateral superior temporal gyrus, increased nodal local efficiency in the left gyrus rectus. When compared with PD-nFOG patients and HCs, PD-FOG showed increased betweenness centrality in the left hippocampus. Moreover, compared to HCs, both PD-FOG and PD-nFOG patients displayed reduced network connections by using the NBS method, mainly involving the sensorimotor cortex (SM), visual network (VN), default mode network (DMN), auditory network (AN), dorsal attention network (DAN), subcortical regions, and limbic network (LIM). The local node efficiency of the right temporal pole: superior temporal gyrus in PD-FOG patients was positively correlated with the Freezing of Gait Questionnaire (FOGQ) scores. Conclusions: This study demonstrates the disrupted regional topological organization in PD-FOG patients, especially associated with damage to the subcortical regions and multiple cortical regions. Our results provide insights into the dysfunctional mechanisms of the relevant networks and indicate potential neuroimaging biomarkers of PD-FOG. Frontiers Media S.A. 2020-10-21 /pmc/articles/PMC7609969/ /pubmed/33192473 http://dx.doi.org/10.3389/fnagi.2020.580564 Text en Copyright © 2020 Ruan, Li, Li, Xie, Zhang, Luo, Du, Jiang, Li, and Wei. http://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 Ruan, Xiuhang Li, Yuting Li, E. Xie, Fang Zhang, Guoqin Luo, Zhenhang Du, Yuchen Jiang, Xinqing Li, Mengyan Wei, Xinhua Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title | Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title_full | Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title_fullStr | Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title_full_unstemmed | Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title_short | Impaired Topographical Organization of Functional Brain Networks in Parkinson’s Disease Patients With Freezing of Gait |
title_sort | impaired topographical organization of functional brain networks in parkinson’s disease patients with freezing of gait |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609969/ https://www.ncbi.nlm.nih.gov/pubmed/33192473 http://dx.doi.org/10.3389/fnagi.2020.580564 |
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