KMDS
E-submission
Search
- Page Path
- HOME > Search
Original Article
- Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson’s Disease
- Maryam Ghahremani, Jaejun Yoo, Sun Ju Chung, Kwangsun Yoo, Jong C. Ye, Yong Jeong
- J Mov Disord. 2018;11(1):13-23. Published online January 23, 2018
- DOI: https://doi.org/10.14802/jmd.17061
- 10,820 View
- 238 Download
- 11 Web of Science
- 9 Crossref
-
Abstract
PDF - Objective
Parkinson’s disease (PD) is a neurodegenerative disorder that mainly leads to the impairment of patients’ motor function, as well as of cognition, as it progresses. This study tried to investigate the impact of PD on the resting state functional connectivity of the default mode network (DMN), as well as of the entire brain.
Methods
Sixty patients with PD were included and compared to 60 matched normal control (NC) subjects. For the local connectivity analysis, the resting state fMRI data were analyzed by seed-based correlation analyses, and then a novel persistent homology analysis was implemented to examine the connectivity from a global perspective.
Results
The functional connectivity of the DMN was decreased in the PD group compared to the NC, with a stronger difference in the medial prefrontal cortex. Moreover, the results of the persistent homology analysis indicated that the PD group had a more locally connected and less globally connected network compared to the NC.
Conclusion
Our findings suggest that the DMN is altered in PD, and persistent homology analysis, as a useful measure of the topological characteristics of the networks from a broader perspective, was able to identify changes in the large-scale functional organization of the patients’ brain. -
Citations
Citations to this article as recorded by
- Topological disruption of high‐order functional networks in cognitively preserved Parkinson's disease
Song'an Shang, Siying Zhu, Jingtao Wu, Yao Xu, Lanlan Chen, Weiqiang Dou, Xindao Yin, Yu‐Chen Chen, Dejuan Shen, Jing Ye
CNS Neuroscience & Therapeutics.2023; 29(2): 566. CrossRef - IABC: A Toolbox for Intelligent Analysis of Brain Connectivity
Yuhui Du, Yanshu Kong, Xingyu He
Neuroinformatics.2023; 21(2): 303. CrossRef - Topological data analysis in biomedicine: A review
Yara Skaf, Reinhard Laubenbacher
Journal of Biomedical Informatics.2022; 130: 104082. CrossRef - Altered Long- and Short-Range Functional Connectivity Density in Patients With Thyroid-Associated Ophthalmopathy: A Resting-State fMRI Study
Wen-Hao Jiang, Huan-Huan Chen, Wen Chen, Qian Wu, Lu Chen, Jiang Zhou, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu
Frontiers in Neurology.2022;[Epub] CrossRef - Modulations of static and dynamic functional connectivity among brain networks by electroacupuncture in post-stroke aphasia
Minjie Xu, Ying Gao, Hua Zhang, Binlong Zhang, Tianli Lyu, Zhongjian Tan, Changming Li, Xiaolin Li, Xing Huang, Qiao Kong, Juan Xiao, Georg S. Kranz, Shuren Li, Jingling Chang
Frontiers in Neurology.2022;[Epub] CrossRef - Multi-dimensional persistent feature analysis identifies connectivity patterns of resting-state brain networks in Alzheimer’s disease
Jin Li, Chenyuan Bian, Haoran Luo, Dandan Chen, Luolong Cao, Hong Liang
Journal of Neural Engineering.2021; 18(1): 016012. CrossRef - Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
Mahdieh Ghasemi, Ali Foroutannia, Abbas Babajani‐Feremi
Brain and Behavior.2021;[Epub] CrossRef - The role of the medial prefrontal cortex in cognition, ageing and dementia
Dan D Jobson, Yoshiki Hase, Andrew N Clarkson, Rajesh N Kalaria
Brain Communications.2021;[Epub] CrossRef - Image Target Recognition Model of Multi- Channel Structure Convolutional Neural Network Training Automatic Encoder
Sen Zhang, Qiuyun Cheng, Dengxi Chen, Haijun Zhang
IEEE Access.2020; 8: 113090. CrossRef
- Topological disruption of high‐order functional networks in cognitively preserved Parkinson's disease
First
Prev
