Abstract:
In this talk, I will revisit dynamical causal models for distinguishing treatment-resistant from treatment responsive patients with Schizophrenia. Beginning with pertinent technical methodologies from Dynamic Causal Models I will outline the results from a chronic cohort and examine if these results replicate earlier in the disorder. We aim to address and discuss trajectories of pathology and how they may relate to models of effective connectivity. Finally, I will introduce a ‘big data’ analysis of brainstem-cortical interactions in healthy participants from the Human Connectome Project. In these analyses, we will examine DCMs and their relationship with wide phenotyping.
