Literature DB >> 30347309

Identifying mild-moderate Parkinson's disease using whole-brain functional connectivity.

Yan Tang1, Bailin Liu2, Yuan Yang3, Chang-Min Wang4, Li Meng5, Bei-Sha Tang6, Ji-Feng Guo7.   

Abstract

OBJECTIVE: Our study aims to extract significant disorder-associated patterns from whole brain functional connectivity to distinguish mild-moderate Parkinson's disease (PD) patients from controls.
METHODS: Resting-state fMRI data were measured from thirty-six PD individuals and thirty-five healthy controls. Multivariate pattern analysis was applied to investigate whole-brain functional connectivity patterns in individuals with 'mild-moderate' PD. Additionally, the relationship between the asymmetry of functional connectivity and the side of the initial symptoms was also analyzed.
RESULTS: In a leave-one-out cross-validation, we got the generalization rate of 80.28% for distinguishing PD patients from controls. The most discriminative functional connectivity was found in cortical networks that included the default mode, sensorimotor and attention networks. Compared to patients with the left side initially affected, an increased abnormal functional connectivity was found in patients in whom the right side was initially affected.
CONCLUSIONS: Our results indicated that discriminative functional connectivity is likely associated with disturbances of cortical networks involved in sensorimotor control and attention. The spatiotemporal patterns of motor asymmetry may be related to the lateralized dysfunction on the early stages of PD. SIGNIFICANCE: This study identifies discriminative functional connectivity that is associated with disturbances of cortical networks. Our results demonstrated new evidence regarding the functional brain changes related to the unilateral motor symptoms of early PD.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Locally linear embedding; Multivariate pattern analysis; Parkinson’s disease; Resting-state functional MRI; Whole-brain patterns

Mesh:

Year:  2018        PMID: 30347309     DOI: 10.1016/j.clinph.2018.09.006

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  The Relationship between Side of Onset and Cerebral Regional Homogeneity in Parkinson's Disease: A Resting-State fMRI Study.

Authors:  Kai Li; Hong Zhao; Chun-Mei Li; Xin-Xin Ma; Min Chen; Shu-Hua Li; Rui Wang; Bao-Hui Lou; Hai-Bo Chen; Wen Su
Journal:  Parkinsons Dis       Date:  2020-06-27

2.  Machine Learning Models for Diagnosis of Parkinson's Disease Using Multiple Structural Magnetic Resonance Imaging Features.

Authors:  Yang Ya; Lirong Ji; Yujing Jia; Nan Zou; Zhen Jiang; Hongkun Yin; Chengjie Mao; Weifeng Luo; Erlei Wang; Guohua Fan
Journal:  Front Aging Neurosci       Date:  2022-04-13       Impact factor: 5.702

3.  Alteration in Asymmetry of White Matter Network of Parkinson's Disease.

Authors:  Aihong Chen; Yue Deng; Xiaobing Zuo; Suting Zhong
Journal:  Contrast Media Mol Imaging       Date:  2022-07-04       Impact factor: 3.009

4.  Aberrant Thalamic-Centered Functional Connectivity in Patients with Persistent Somatoform Pain Disorder.

Authors:  Xia Sun; Xiandi Pan; Kaiji Ni; Chenfeng Ji; Jiaxin Wu; Chao Yan; Yanli Luo
Journal:  Neuropsychiatr Dis Treat       Date:  2020-01-23       Impact factor: 2.570

  4 in total

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