Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis

SCN analysis combined with graph theory offers a valuable approach for understanding disease-related connectivity disruptions and may contribute to the development of network-based biomarkers for CAA.

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Publication Details

Journal
Neurobiology of Disease
Published
2025-04-14
DOI
https://doi.org/10.1016/j.nbd.2025.106911
Citations
2
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
2.94

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article

Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis

Bin Gao, Xingquan Zhao, Mengyao Li, Yanfang Liu et al.
2 citations
Neurobiology of Disease
Dementia and Cognitive Impairment Research
2.94
article

Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis

Bin Gao, Xingquan Zhao, Mengyao Li, Yanfang Liu, Yijun Lin, Yang Du
article en
2 citations

Abstract

SCN analysis combined with graph theory offers a valuable approach for understanding disease-related connectivity disruptions and may contribute to the development of network-based biomarkers for CAA.

Neurobiology of DiseaseVol. 210
Capital Medical University (CN), Beijing Tian Tan Hospital (CN), National Clinical Research Center for Digestive Diseases (CN)
Innovative Research Group Project of the National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 11%
Dementia and Cognitive Impairment Research
2.94
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Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis — Bin Gao, Xingquan Zhao, et al. · Neurobiology of Disease (2025) | TGRS Research Map | TGRS