PM541. Computational modeling of cognitive deficits from cortical circuit dysfunction associated with schizophrenia
Abstract
Background: Developmental process of dysconnectivity during transition into psychosis could appropriately be explored at the network level. However, no study has concurrently explored alterations in the white matter (WM) network of the brain among first-episode psychosis (FEP) and its prodromal stage. Methods: Thirty-seven subjects with ultra-high risk for psychosis (UHR), 21 patients with FEP, and 37 healthy controls (HC) were recruited. 3-Tesla T1 structural and diffusion tensor images were reconstructed as weighted WM networks. Results: At the global level, the UHR group showed a higher assortativity coefficient compared to the FEP group and a higher modularity Q compared to the HC group. At the local level, the FEP group showed a weaker left hippocampal-parahippocampal connectivity and a stronger left superior frontal-thalamic connectivity compared to the UHR and HC groups. More rightward asymmetry in the hippocampal-parahippocampal connectivities was seen in the FEP compared to the UHR and HC groups, and that asymmetry positively correlated with psychotic symptoms and negatively with level of functioning in the UHR group. Participation coefficient of the right pallidum increased in the FEP compared to the UHR and HC groups, and that measure positively correlated with nonspecific psychiatric symptoms in the FEP group. Conclusions: UHR enhances function of WM network by increasing adaptivity and maintaining resilience without altering connection costs. Altered…
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