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Abstract #3301

Unconstrained Cross-Network Directional Interactions in Schizophrenia

Dongyi Liao1, Lena Palaniyappan2, Karthik Ramakrishnan Sreenivasan1, Peter Liddle3, Molly Simmonite2, Gopikrishna Deshpande1, 4

1AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States; 2Translational Neuroimaging, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom; 3Department of Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom; 4Department of Psychology, Auburn University, Auburn, AL, United States


In this study, we demonstrate decreased effective connectivity in resting state networks of Schizophrenics as compared to healthy individuals. Resting state fMRI data were acquired from both groups and subjected to multivariate Granger causality analysis coupled with blind deconvolution of the hemodynamic response using a cubature Kalman filter. Casual interactions were significantly impaired for subjects with schizophrenia, especially the outputs from Insula and posterior parietal cortex. This disconnectivity is likely to be an important factor in the core pathophysiology of schizophrenia.