Evaluating State-Transition Models in Short Resting-State fMRI with Continuous-Dynamics Controls
Aleksandr Volkov, Yury Maximov, Tamoghna Chattopadhyay…·Ildar Gabitov
This study compares hidden Markov models (HMMs) and vector autoregressive (VAR) models in resting-state fMRI to determine if apparent state transitions reflect discrete dynamics or continuous activity, finding that VAR often outperforms HMMs in continuous cases.