Publication: Test-retest reliability of regression dynamic causal modeling
Test-retest reliability of regression dynamic causal modeling
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Frässle, S., & Stephan, K. E. (2022). Test-retest reliability of regression dynamic causal modeling. Network Neuroscience, 6(1), 135–160. https://doi.org/10.1162/netn_a_00215
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Regression dynamic causal modeling (rDCM) is a novel and computationally highly efficient method for inferring effective connectivity at the whole-brain level. While face and construct validity of rDCM have already been demonstrated, here we assessed its test-retest reliability-a test-theoretical property of particular importance for clinical applications-together with group-level consistency of connection-specific estimates and consistency of whole-brain connectivity patterns over sessions. Using the Human Connectome Project dataset
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- Frässle, Stefan
- Stephan, Klaas E
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Frässle, S., & Stephan, K. E. (2022). Test-retest reliability of regression dynamic causal modeling. Network Neuroscience, 6(1), 135–160. https://doi.org/10.1162/netn_a_00215
