NeuroMark dFNC: Transferable Dynamic-State Templates for Subject-Specific and Frequency-Resolved Chronnectomics
M. Moein Esfahani, Masoud Seraji, Sepehr Salem Ghahfarrokhi, Kyle M. Jensen, Zening Fu, Tülay Adalı, Yu‐Ping Wang, Vince D. Calhoun
NeuroMark dFNC uses reference-state templates to estimate subject-specific dynamic connectivity states across datasets, enabling cross-cohort comparison while preserving individual patterns.
bioRxiv · Oct 17, 2026 · PreprintNeuroscience