Abnormal Topological Organization of Sulcal Depth-Based Structural Covariance Networks in Parkinson's Disease

Abnormal Topological Organization of Sulcal Depth-Based Structural Covariance Networks in Parkinson's Disease

Recent research on Parkinson's disease (PD) has demonstrated the topological abnormalities of structural covariance networks (SCNs) using various morphometric features from structural magnetic resonance images (sMRI). However, the sulcal depth (SD)-based SCNs have not been investigated. In this...

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Bibliographic Details
Main Authors: Erlei Wang, Yujing Jia, Yang Ya, Jin Xu, Chengjie Mao, Weifeng Luo, Guohua Fan, Zhen Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
magnetic resonanc imaging
graph theoretical analysis
sulcal depth
structural covariance networks
Parkinson's disease
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2020.575672/full

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https://www.frontiersin.org/articles/10.3389/fnagi.2020.575672/full

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