Quantitative Biology Seminar | Functional Disconnectivity in Schizophrenia | Speaker: Péter Érdi (Kalamazoo College and Hungarian Academy of Sciences, Budapest)
Speaker: Péter Érdi (Kalamazoo College and Hungarian Academy of Sciences, Budapest)
Péter Érdi is the Henry R. Luce Professor of Complex Systems, Center for Complex System Studies at Kalamazoo College, Kalamazoo, MI and Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest
Abstract: Schizophrenia is a complex disorder with diverse related impairments in the central nervous system. Specifically, altered interaction of prefrontal cortex and hippocampus is hypothesized to be a central aspect of its pathophysiology. Combined behavioral and fMRI data collected during an object-location paired-associate learning task were evaluated by Dynamic Causal Modelling (DCM) technique, which includes Bayesian model selection. Impaired functional macronetwork interactions in schizophrenia was found, and quantitative estimates for the functional reduction were given. The information processing network of schizophrenia patients is fundamentally different than the one of controls during the associative learning task, as probable models had broken or reduced connections related to cognitive control.
The work has been done in collaboration with Vaibhav Diwadkar (Wayne State University Medical School) and Mihály Bányai (CNS group Budapest, CCSS Kalamazoo College). Reference: Bányai M, Diwadkar V, Érdi P: Model-based dynamical analysis of functional disconnection in schizophrenia NeuroImage, 58(3): 870-877, 2011.