Test-retest reliability of dynamic functional connectivity parameters for a two-state model

被引：0
|
作者：
Fang, Xiaojing [1 ]
Marxen, Michael [1 ]
机构：
[1] Tech Univ Dresden, Dept Psychiat, Dresden, Germany
来源：
NETWORK NEUROSCIENCE | 2025年 / 9卷 / 01期
关键词：
Neuroimaging; fMRI; Connectomics; Brain states; Reproducibility; Sliding window analysis; RESTING-STATE FMRI; BRAIN NETWORKS; PATTERNS;
D O I：
10.1162/netn_a_00437
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
We investigated the reliability of popular parameters characterizing dynamic brain states in two datasets. We found high reliability of clustering results with a two-state model but only medium to low reliability of the parameters, of which state prevalence across different strategies was the most reliable.
引用
收藏
页码：371 / 391
页数：21
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