Literature DB >> 32387848

Impaired topographic organization in Parkinson's disease with mild cognitive impairment.

Yanbing Hou1, Qianqian Wei1, Ruwei Ou1, Jing Yang1, Qiyong Gong2, Huifang Shang3.   

Abstract

BACKGROUND: Mild cognitive impairment (MCI) is common in Parkinson's disease (PD), and graph theory approaches can be performed to investigate the topographic organization in newly diagnosed drug-naïve PD patients with MCI.
METHOD: We recruited PD patients with MCI (PD-MCI), PD patients with cognitive unimpaired (PD-CU), and age- and sex-matched healthy controls (HCs). Resting-state functional MRI (fMRI) whole-brain connectivity was examined, and topographic properties were measured with age, sex and education as covariates. Correlation analyses were performed between topographic features and cognitive scores.
RESULTS: Newly diagnosed drug-naïve PD patients and HCs presented small-world properties, and PD patients had increasing random organizations of brain networks, especially in PD patients with MCI. We also found a descending trend (HC > PD-CU > PD-MCI) in the clustering coefficient (Cp), characteristic path length (Lp) and local efficiency (Eloc), and a rising trend (HC < PD-CU < PD-MCI) in the global efficiency (Eglob). Only PD patients with MCI showed decreased nodal centralities in nodes of the sensorimotor network (SMN), default mode network (DMN), and the ventral anterior prefrontal cortex (vent aPFC), and increased nodal centralities in nodes of the cingulo-opercular network (CON), occipital network, and the ventral lateral prefrontal cortex (vlPFC). The increased nodal centralities in the parietal node of CON negatively correlated with cognitive scores in all PD patients.
CONCLUSION: Our results suggested that newly diagnosed drug-naïve PD patients had increasing random organizations of brain networks, especially in PD-MCI patients. Nodal changes were mainly observed in PD-MCI patients.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Graph theory; Mild cognitive impairment; Parkinson's disease; Resting-state functional MRI

Mesh:

Year:  2020        PMID: 32387848     DOI: 10.1016/j.jns.2020.116861

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

1.  Disrupted topological organization of resting-state functional brain networks in Parkinson's disease patients with glucocerebrosidase gene mutations.

Authors:  Yanbing Hou; Fei Feng; Lingyu Zhang; Ruwei Ou; Junyu Lin; Qiyong Gong; Huifang Shang
Journal:  Neuroradiology       Date:  2022-10-21       Impact factor: 2.995

2.  Topological Alterations of the Brain Functional Network in Type 2 Diabetes Mellitus Patients With and Without Mild Cognitive Impairment.

Authors:  Baiwan Zhou; Xia Wang; Qifang Yang; Faqi Wu; Lin Tang; Jian Wang; Chuanming Li
Journal:  Front Aging Neurosci       Date:  2022-04-19       Impact factor: 5.702

3.  Brain Structural Covariance Networks in Behavioral Variant of Frontotemporal Dementia.

Authors:  Salvatore Nigro; Benedetta Tafuri; Daniele Urso; Roberto De Blasi; Maria Elisa Frisullo; Maria Rosaria Barulli; Rosa Capozzo; Alessia Cedola; Giuseppe Gigli; Giancarlo Logroscino
Journal:  Brain Sci       Date:  2021-02-04

4.  Impaired Topographic Organization in Patients With Idiopathic Blepharospasm.

Authors:  Yanbing Hou; Lingyu Zhang; Qianqian Wei; Ruwei Ou; Jing Yang; Qiyong Gong; Huifang Shang
Journal:  Front Neurol       Date:  2022-01-12       Impact factor: 4.003

5.  Altered Dynamic Functional Connectivity in de novo Parkinson's Disease Patients With Depression.

Authors:  Jianxia Xu; Miao Yu; Hui Wang; Yuqian Li; Lanting Li; Jingru Ren; Chenxi Pan; Weiguo Liu
Journal:  Front Aging Neurosci       Date:  2022-02-14       Impact factor: 5.750

Review 6.  Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson's Disease: Current View.

Authors:  Yanbing Hou; Huifang Shang
Journal:  Front Aging Neurosci       Date:  2022-01-25       Impact factor: 5.750

  6 in total

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