Predicting Mental Health&Mortality: Insights from Functional Connectivity&Cross-Dataset Validation

Brisbane Convention & Exhibition Centre 

A recent symptom-based model of psychopathology suggests the existence of hierarchical organization across disorders[1]. Studies in youth utilizing functional connectivity (FC) have uncovered both shared and distinct neural patterns associated with disorder dimensions[2, 3]. However, limited research has explored the relationship between psychopathology dimensions and imaging biomarkers in adults, particularly in middle-aged populations. In this study, we attempt to address this gap by investigating the brain functional phenotypes relating to mental health in the middle-aged and older adults using the UK Biobank cohort, while assessing its predictive utility within and across datasets.