Computational Neuroscience Group, Department of Biophysics

Schizophrenia is a complex disease of very diverse symptoms and mostly unknown causes. A possible underlying phenomenon is described by the "disconnection syndrome" hypothesis, when the control signal flow between cortical areas is impaired. Vaibhav Diwadkar conducted an fMRI study of associative learning with schizophrenia patients. We analyze this data using Dynamic Causal Models, which are inverted and compared with Bayesian techniques. We examine the differences in the causal connection patterns and strengths between healthy and schizophrenic subjects.

People working on this project

Péter Érdi, Mihály Bányai, Vaibhav Diwadkar

Publications related to this project

CD, Gore, M Bányai, PM Gray, V Diwadkar, P Érdi. Pathological Effects of Cortical Architecture on Working Memory in Schizophrenia. Pharmacopsychiatry 43(Suppl 1)592-597
P. Érdi, B. Ujfalussy, V. Diwadkar: The schizophrenic brain: A broken hermeneutic circle Neural Network Word 19(5):413-427
VA Diwadkar, B Flaugher, T Jones, Zalányi L, Ujfalussy B, MS Keshavan, Érdi P.Impaired associative learning in schizophrenia: Behavioral and computational studies. Cognitive Neurodynamics 2(3):207-219 (2008)