LAUSR

Abstract Background Schizophrenia (SCZ) is one of the most chronically disabling psychiatric illnesses with a global median lifetime morbid risk of 7.2/1000 persons. Both genetic and brain region pathways were identified as causal regulating tunnels towards the pathogenesis of SCZ. Method We integrated a functional magnetic resonance imaging (fMRI) data set and a brain-gene ResNet (BGR) data set to study the functional pathways through which genes regulate the brain functions associated with SCZ phenotypes. Automated Anatomical Labeling (AAL) based brain connectivity analysis were conducted for fMRI data and a Gene Set Enrichment Analysis (GSEA) and Sub-Network Enrichment Analysis (SNEA) were performed to study the functional profile of the genes associating with these brain regions. Additionally, pathway and network based metrics analysis were proposed to identify the top genes with pathogenesis significance to SCZ. Results We identified 4 SCZ candidate brain regions (P-value Conclusion Our results suggest that integrating both genomic and neuroimaging data could reveal functional genetic-brain region pathways that help in understanding the pathogenic mechanisms of SCZ.