Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease

Objective: Parkinson's disease (PD) exhibits high heterogeneity in terms of clinical features and prognosis. It can be classified into tremor-dominant (TD) and akinetic rigid-dominant (ARD) subtypes. However, changes in dynamic brain connectivity characteristics in patients with ARD PD remain u...

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Main Authors: Yu Pan, Hang Qu, Yi Zhao, Zhaoxia Qin, Jiangbing Liu, Wei Wang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Brain Research Bulletin
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Online Access:http://www.sciencedirect.com/science/article/pii/S0361923025002722
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author Yu Pan
Hang Qu
Yi Zhao
Zhaoxia Qin
Jiangbing Liu
Wei Wang
author_facet Yu Pan
Hang Qu
Yi Zhao
Zhaoxia Qin
Jiangbing Liu
Wei Wang
author_sort Yu Pan
collection DOAJ
description Objective: Parkinson's disease (PD) exhibits high heterogeneity in terms of clinical features and prognosis. It can be classified into tremor-dominant (TD) and akinetic rigid-dominant (ARD) subtypes. However, changes in dynamic brain connectivity characteristics in patients with ARD PD remain unclear. Therefore, this study aimed to explore brain networks’ dynamic functional connectivity characteristics in patients with TD and ARD PD and their correlation with clinical symptoms. Methods: This study included 37 patients with TD PD, 33 with ARD PD, and 30 healthy controls (HCs). Resting-state functional magnetic resonance imaging (fMRI) data were obtained from all participants. Independent component analysis (ICA) and graph theory analyses were used to calculate the three groups’ dynamic functional network connectivity characteristics. We also examined the correlations between these characteristics and the clinical assessment indices of motor function. Results: Eight functional networks were identified, and four connectivity states were clustered. Compared with the ARD group, the TD group exhibited significantly increased connectivity between the Executive Control Network (ECN) and Visual Network (VIS) in the sparse high-frequency state. In the two tightly coupled states, the TD and ARD groups showed increased connectivity within the default mode network (DMN), decreased connectivity within the sensorimotor network (SMN), and decreased connectivity between the attention network (ATN) and VIS than the HCs. However, the TD group showed decreased connectivity between the VIS and SMN or auditory networks, and the ARD group exhibited reduced connectivity between the VIS and ECN. The Unified Parkinson's Disease Rating Scale Part III scores of both groups of patients with PD were negatively correlated with the number of state transitions and positively correlated with the score window and average dwelling time of the sparse high-frequency state. The graph theory analysis revealed a significantly reduced global network efficiency in patients with PD compared to HCs. Regarding nodal local efficiency, the ARD group exhibited a lower variance in SMN than the TD group and a lower variance in DMN than the HCs. Conclusion: Significant differences were noted in brain connectivity properties between the different PD motor subtypes, primarily in the SMN, DMN, and VIS. The activity of the brain connectivity states in patients with PD is significantly correlated with the severity of motor deficits.
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spelling doaj-art-4de4ff7491e84beea53aaccaaa1b86782025-08-20T02:49:29ZengElsevierBrain Research Bulletin1873-27472025-09-0122911146010.1016/j.brainresbull.2025.111460Differential dynamic functional network connectivity in different motor subtypes of Parkinson's diseaseYu Pan0Hang Qu1Yi Zhao2Zhaoxia Qin3Jiangbing Liu4Wei Wang5Department of Medical Imaging, Affiliated Hospital of Yangzhou University, Yangzhou, ChinaDepartment of Medical Imaging, Affiliated Hospital of Yangzhou University, Yangzhou, ChinaDepartment of Medical Imaging, Affiliated Hospital of Yangzhou University, Yangzhou, ChinaDepartment of Medical Imaging, Affiliated Hospital of Yangzhou University, Yangzhou, ChinaDepartment of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou, ChinaDepartment of Medical Imaging, Affiliated Hospital of Yangzhou University, Yangzhou, China; Correspondence to: Affiliated Hospital of Yangzhou University, 368 Hanjiang Middle Road, Hanjiang District, Yangzhou, China.Objective: Parkinson's disease (PD) exhibits high heterogeneity in terms of clinical features and prognosis. It can be classified into tremor-dominant (TD) and akinetic rigid-dominant (ARD) subtypes. However, changes in dynamic brain connectivity characteristics in patients with ARD PD remain unclear. Therefore, this study aimed to explore brain networks’ dynamic functional connectivity characteristics in patients with TD and ARD PD and their correlation with clinical symptoms. Methods: This study included 37 patients with TD PD, 33 with ARD PD, and 30 healthy controls (HCs). Resting-state functional magnetic resonance imaging (fMRI) data were obtained from all participants. Independent component analysis (ICA) and graph theory analyses were used to calculate the three groups’ dynamic functional network connectivity characteristics. We also examined the correlations between these characteristics and the clinical assessment indices of motor function. Results: Eight functional networks were identified, and four connectivity states were clustered. Compared with the ARD group, the TD group exhibited significantly increased connectivity between the Executive Control Network (ECN) and Visual Network (VIS) in the sparse high-frequency state. In the two tightly coupled states, the TD and ARD groups showed increased connectivity within the default mode network (DMN), decreased connectivity within the sensorimotor network (SMN), and decreased connectivity between the attention network (ATN) and VIS than the HCs. However, the TD group showed decreased connectivity between the VIS and SMN or auditory networks, and the ARD group exhibited reduced connectivity between the VIS and ECN. The Unified Parkinson's Disease Rating Scale Part III scores of both groups of patients with PD were negatively correlated with the number of state transitions and positively correlated with the score window and average dwelling time of the sparse high-frequency state. The graph theory analysis revealed a significantly reduced global network efficiency in patients with PD compared to HCs. Regarding nodal local efficiency, the ARD group exhibited a lower variance in SMN than the TD group and a lower variance in DMN than the HCs. Conclusion: Significant differences were noted in brain connectivity properties between the different PD motor subtypes, primarily in the SMN, DMN, and VIS. The activity of the brain connectivity states in patients with PD is significantly correlated with the severity of motor deficits.http://www.sciencedirect.com/science/article/pii/S0361923025002722Parkinson's diseaseTremorRigidityDynamic network connectivityGraph theory
spellingShingle Yu Pan
Hang Qu
Yi Zhao
Zhaoxia Qin
Jiangbing Liu
Wei Wang
Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
Brain Research Bulletin
Parkinson's disease
Tremor
Rigidity
Dynamic network connectivity
Graph theory
title Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
title_full Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
title_fullStr Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
title_full_unstemmed Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
title_short Differential dynamic functional network connectivity in different motor subtypes of Parkinson's disease
title_sort differential dynamic functional network connectivity in different motor subtypes of parkinson s disease
topic Parkinson's disease
Tremor
Rigidity
Dynamic network connectivity
Graph theory
url http://www.sciencedirect.com/science/article/pii/S0361923025002722
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AT zhaoxiaqin differentialdynamicfunctionalnetworkconnectivityindifferentmotorsubtypesofparkinsonsdisease
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