34. DATA-DRIVEN, LARGE N, FINDINGS FROM THE MULTI-CENTER SOCIAL PROCESSES INITIATIVE IN NEUROBIOLOGY OF THE SCHIZOPHRENIA(S) (SPINS) STUDY: IDENTIFYING NEW BRAIN-BEHAVIOR SUBGROUPS, INCLUDING AT THE INDIVIDUAL LEVEL

Abstract

The SPINS study is a NIMH-funded collaborative study designed to identify the full range of dimensional brain-behavior relationships from the level of circuit characterization to social cognitive performance and social function. This panel will include the behavioral, social cognitive and neuroimaging results from this large-scale study of over 300 participants with schizophrenia spectrum disorders (SSDs) and healthy controls (HCs). The first presentation (Robert Buchanan) will show how hierarchical clustering in two datasets is used to examine the underlying group structure of SSDs and HCs performing the Observe/Imitate task and yielded three patterns of neural activity: 1) 'typical activators', with activity in the simulation network; 2) a 'diffuse/inefficient' activating group; and 3) an 'efficient/deactivating' group. These patterns were dimensionally associated with social cognitive performance. Then Lindsay Oliver will present new data on the neural basis of social cognitive deficits using the empathic accuracy (EA) task, which engages simulation and mentalizing networks. Within and between network background connectivity for social cognitive networks during the EA fMRI task, across participants with SSDs (N = 179) and healthy controls (N = 124) was examined. Connectivity within the mirroring and simulation networks was associated with both lower social cognitive performance and social functioning, aligning with a network efficiency model. Then, Philip Homan will introduce morphometric similarity networks, which are connectomes derived from graph theory and multimodal structural MRI, to understand variation in general and social cognition. Previous work has shown the importance of highly connected hubs for SSD-relevant brain abnormalities and suggest they play an important role in cognition. In SPINS, he will demonstrate how the nodal degree of distinct hubs in the brain contributed to distinct domains of cognition. Finally, Erin Dickie will present data from the SPINS study and other datasets of people with SSDs, demonstrating individualized profiles of functional connectivity using the personalized intrinsic network topography (PINT) approach. She will show how application of PINT influences subcortical-cortical functional disconnectivity at the individual level.