1. Cortical structural network characteristics in non-cognitive impairment end-stage renal disease
- Author
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Yimin Wang, Shihua Chen, Peng Zhang, Zixuan Zhai, Zheng Chen, and Zhiming Li
- Subjects
structural covariance network ,end-stage renal disease ,neuroimaging ,graph theory ,cortical volume ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
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 patients and 50 normal controls (NC). We compared, and extracted the GMV across subject groups, constructed corresponding structural covariance networks (SCNs), and investigated the alterations in SCNs feature parameters between groups.ResultsIn Non-CI ESRD patients, The GMV were reduced in several brain regions, predominantly on the left side (p
- Published
- 2024
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