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Extending fMRI Dynamical Causal Modeling (DCM) to Handle Excitatory and Inhibitory Neuronal Populations
Dynamical causal modelling (DCM) for functional magnetic resonance imaging (fMRI) is a technique to infer directed connectivity among brain regions. These models distinguish between a neuronal level, which models neuronal interactions among regions, and an observation level, which models the hemodynamic responses each region. The original DCM formulation considered only one neuronal state per region. In this work, we adopt a more plausible and less constrained neuronal model, using two neuronal states (populations) per region. This gives us an explicit model of intrinsic (between-population) connectivity within a region.
Andre Marrerios
Functional Imaging Lab., UCL
60
horwitzb@mail.nih.gov
The FMRIF adds two new scanners
