Test-Retest Reliability of Graph Metrics in Functional Brain Network

The statistical link between spontaneous fluctuations occurring in different parts of the brain can provide insights into its functional organization. Here, we used high-quality resting-state fMRI (rs-fMRI) data acquired with a test-retest (TRT) paradigm to assess the reliability of graph metrics. After applying time/frequency methods to generate FC matrices, we restricted our focus on global, local and central graph measure through different statistical measures, including but not limited to the intraclass correlation coefficient (ICC). We found that full correlation and magnitude square coherence yielded more reproducible measurements than the other metrics, as revealed by ICC values. These results have important implications when choosing metrics for quantifying FC in rs-fMRI studies, adding novel information to the current panorama of information on TRT reliability topic.