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

• DOI: 10.1162/netn_a_00437
• Publication Date: 2025-01-07T19:03:28Z
• Authors: Xiaojing Fang; Michael Marxen
• Keywords: Dynamic functional connectivity; Functional testing

Reliability of imaging parameters is pivotal importance for further correlation analyses. Here, we investigated the test-retest reliability two dynamic functional connectivity (dFC) brain states and related different scan length, atlases with 116 versus 442 regions, data centering in 23 participants reproduced findings 501 subjects Human Connectome Project. Results showed an integrated a segregated state high intraclass coefficient (ICC) values between sessions (0.67 ≥ ICC 0.99). The most reliable dFC parameter was prevalence ≈ 0.5 ∼15 min uncentered data, while other parameters, such as mean dwell time, were much less reliable. While shorter scans within-subject reduce reliability, atlas choice had no effects. Spearman's correlations among strongly depend on centering. effect global signal regression higher number discussed. In conclusion, recommend formulating hypotheses cross-sectional differences measures integration subject-specific terms prevalence, especially small-scale studies.