Model-Based Analysis of Functional Connectivity During Associative Learning in Schizophrenia

  • Mihály Bányai
  • Vaibhav Diwadkar
  • Péter Érdi
Conference paper


Schizophrenia is often regarded as a set of symptoms caused by impairments in the cognitive control in macro-networks of the brain. To investigate this hypothesis, an fMRI study involving an associative learning task was conducted with schizophrenia patients and controls. A set of generative models of the BOLD signal generation were defined to describe the interaction of five brain regions (Primary Visual Cortex, Superior Parietal and Inferior Temporal Cortex, Hippocampus and Dorsal Prefrontal Cortex) and the experimental conditions. The models were fitted to the data using Bayesian model inversion. The comparison of different model connectivity structures lead to the finding that in schizophrenia, there are significant impairments in the prefrontal control of hippocampal memory formation in patients.


Effective Connectivity Contextual Modulation Inferior Temporal Cortex Control Stream Intrinsic Connection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We are thankful to the National Institutes of Mental Health, the Children’s Research Center of Michigan, the Elizabeth Elser Doolittle Investigator-ship and the Henry Luce foundation.


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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Mihály Bányai
    • 1
    • 2
  • Vaibhav Diwadkar
    • 3
  • Péter Érdi
    • 1
    • 2
  1. 1.KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of SciencesBudapestHungary
  2. 2.Center for Complex Systems StudiesKalamazoo CollegeKalamazooUSA
  3. 3.Wayne State University School of MedicineDetroitUSA

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