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Abnormal intra- and inter-network functional connectivity of brain networks in early-onset Parkinson’s disease and late-onset Parkinson’s disease

Authors :
Fan Zhou
ChangLian Tan
Chendie Song
Min Wang
Jiaying Yuan
Yujing Liu
Sainan Cai
QinRu Liu
Qin Shen
Yuqing Tang
Xu Li
Haiyan Liao
Source :
Frontiers in Aging Neuroscience, Vol 15 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

ObjectiveThe purpose of this study is to look into the altered functional connectivity of brain networks in Early-Onset Parkinson’s Disease (EOPD) and Late-Onset Parkinson’s Disease (LOPD), as well as their relationship to clinical symptoms.MethodsA total of 50 patients with Parkinson’ disease (28 EOPD and 22 LOPD) and 49 healthy controls (25 Young Controls and 24 Old Controls) were admitted to our study. Employing independent component analysis, we constructed the brain networks of EOPD and Young Controls, LOPD and Old Controls, respectively, and obtained the functional connectivity alterations in brain networks.ResultsCerebellar network (CN), Sensorimotor Network (SMN), Executive Control Network (ECN), and Default Mode Network (DMN) were selected as networks of interest. Compared with their corresponding health controls, EOPD showed increased functional connectivity within the SMN and ECN and no abnormalities of inter-network functional connectivity were found, LOPD demonstrated increased functional connectivity within the ECN while decreased functional connectivity within the CN. Furthermore, in LOPD, functional connectivity between the SMN and DMN was increased. The functional connectivity of the post-central gyrus within the SMN in EOPD was inversely correlated with the Unified Parkinson’s Disease Rating Scale Part III scores. Age, age of onset, and MMSE scores are significantly different between EOPD and LOPD (p < 0.05).ConclusionThere is abnormal functional connectivity of networks in EOPD and LOPD, which could be the manifestation of the associated pathological damage or compensation.

Details

Language :
English
ISSN :
16634365
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.7b8aac954f074f178085865a1d3a3b69
Document Type :
article
Full Text :
https://doi.org/10.3389/fnagi.2023.1132723