Literature DB >> 30772280

Altered functional network topology correlates with clinical measures in very early-stage, drug-naïve Parkinson's disease.

Karthik Sreenivasan1, Virendra Mishra1, Christopher Bird1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes2, Ryan R Walsh3.   

Abstract

INTRODUCTION: The aim of the study was to identify abnormalities of whole-brain network functional organization and their relation to clinical measures in a well-characterized, multi-site cohort of very early-stage, drug-naïve Parkinson's Disease (PD) patients.
METHODS: Functional-MRI data for 16 healthy controls and 20 very early-stage, drug-naïve patients with PD were obtained from the Parkinson's Progression Markers Initiative database after controlling for strict inclusion/exclusion imaging criteria. Connectivity between regions of interest was estimated using Pearson's correlation between averaged time-series, and subsequently a connectivity matrix was obtained for each subject. These connectivity matrices were then used in an unbiased, whole-brain graph theoretical approach to investigate the functional connectome and its correlation with disease severity in very early PD.
RESULTS: The current study revealed altered network topology which correlated with multiple clinical measures in very early drug-naïve PD. Decreased functional segregation and integration (both globally and locally) were evident in PD. Importantly, our results demonstrated that most of the cortical regions hypothesized to be involved early in PD manifested decreased graph theoretical measures, despite utilizing a whole-brain analytic approach that is free from prior assumptions regarding cortical region involvement.
CONCLUSION: Graph theoretical investigation of very early drug-naïve PD revealed disrupted topological organization. These findings are evident in a stringently homogeneous group of very early-stage, medication-naive, and non-tremor dominant PD patients by using a whole-brain unbiased approach. These results provide an important unbiased and rigorously controlled baseline for understanding further studies of PD functional connectivity investigating response to treatment, symptom development, and disease progression.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Functional magnetic resonance imaging; Graph theory; PPMI; Parkinson's disease

Mesh:

Year:  2019        PMID: 30772280      PMCID: PMC6589361          DOI: 10.1016/j.parkreldis.2019.02.001

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


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