Cortical structural network characteristics in non-cognitive impairment end-stage renal disease

Cortical structural network characteristics in non-cognitive impairment end-stage renal disease

ObjectiveExplore alterations in topological features of gray matter volume (GMV) and structural networks in non-cognitive impairment end-stage renal disease (Non-CI ESRD).Materials and methodsUtilizing graph theory, we collected structural magnetic resonance imaging (sMRI) data from 38 Non-CI ESRD p...

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Bibliographic Details
Main Authors: Yimin Wang, Shihua Chen, Peng Zhang, Zixuan Zhai, Zheng Chen, Zhiming Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Neuroscience
Subjects:
structural covariance network
end-stage renal disease
neuroimaging
graph theory
cortical volume
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1467791/full
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https://www.frontiersin.org/articles/10.3389/fnins.2024.1467791/full

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