Topologically convergent and divergent morphological gray matter networks in early-stage Parkinson's disease with and without mild cognitive impairment



Suo, Xueling, Lei, Du, Li, Nannan, Li, Junying, Peng, Jiaxin, Li, Wenbin, Yang, Jing, Qin, Kun, Kemp, Graham J ORCID: 0000-0002-8324-9666, Peng, Rong
et al (show 1 more authors) (2021) Topologically convergent and divergent morphological gray matter networks in early-stage Parkinson's disease with and without mild cognitive impairment. HUMAN BRAIN MAPPING, 42 (15). pp. 5101-5112.

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Abstract

Patients with Parkinson's disease with mild cognitive impairment (PD-M) progress to dementia more frequently than those with normal cognition (PD-N), but the underlying neurobiology remains unclear. This study aimed to define the specific morphological brain network alterations in PD-M, and explore their potential diagnostic value. Twenty-four PD-M patients, 17 PD-N patients, and 29 healthy controls (HC) underwent a structural MRI scan. Similarity between interregional gray matter volume distributions was used to construct individual morphological brain networks. These were analyzed using graph theory and network-based statistics (NBS), and their relationship to neuropsychological tests was assessed. Support vector machine (SVM) was used to perform individual classification. Globally, compared with HC, PD-M showed increased local efficiency (p = .001) in their morphological networks, while PD-N showed decreased normalized path length (p = .008). Locally, similar nodal deficits were found in the rectus and lingual gyrus, and cerebellum of both PD groups relative to HC; additionally in PD-M nodal deficits involved several frontal and parietal regions, correlated with cognitive scores. NBS found that similar connections were involved in the default mode and cerebellar networks of both PD groups (to a greater extent in PD-M), while PD-M, but not PD-N, showed altered connections involving the frontoparietal network. Using connections identified by NBS, SVM allowed discrimination with high accuracy between PD-N and HC (90%), PD-M and HC (85%), and between the two PD groups (65%). These results suggest that default mode and cerebellar disruption characterizes PD, more so in PD-M, whereas frontoparietal disruption has diagnostic potential.

Item Type: Article
Uncontrolled Keywords: connectome, gray matter, magnetic resonance imaging, mild cognitive impairment, Parkinson's disease, psychoradiology
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User: Symplectic Admin
Date Deposited: 16 Aug 2021 07:33
Last Modified: 18 Jan 2023 21:33
DOI: 10.1002/hbm.25606
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3133619