Complex topology meets simple statistics

被引：0
|
作者：
Wang, Shiyu [1 ]
Chang, Catie [1 ,2 ,3 ]
机构：
[1] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Dept Elect & Comp Engn, Nashville, TN 37235 USA
[3] Vanderbilt Univ, Dept Comp Sci, Nashville, TN 37235 USA
来源：
NATURE NEUROSCIENCE | 2023年 / 26卷 / 05期
关键词：
FMRI;
D O I：
10.1038/s41593-023-01295-7
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
In this issue, Shinn et al. demonstrate a close relationship between complex brain network topology and lower-level statistical properties of neuroimaging data. They also highlight the potential of these statistical measures, which capture similarity in space and time, to provide imaging-based markers of aging and pharmacological states.
引用
收藏
页码：732 / 734
页数：3
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