脑淀粉样血管病
神经科学
协方差
图形
心理学
数学
医学
病理
疾病
痴呆
组合数学
统计
作者
Yijun Lin,Bin Gao,Yang Du,Mengyao Li,Yanfang Liu,Xingquan Zhao
标识
DOI:10.1016/j.nbd.2025.106911
摘要
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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