Salience Network Segregation and Symptom Profiles in Psychosis Risk Subgroups Among Youth and Early Adults

Understanding neurobiological similarities among individuals with psychosis risk symptoms can improve early identification and intervention strategies. This study aimed to (i) identify neurobiologically similar psychosis risk subgroups by integrating resting-state functional connectivity and psychosis risk symptom data and (ii) discern discriminating symptom profiles and brain connectivity patterns in the identified subgroups. The sample (N = 922) was extracted from the Philadelphia Neurodevelopmental Cohort, a community group of individuals aged 12-21 years, with fMRI and self-reported psychopathology data. Analyses were conducted separately for youth and early adults. A two-layer network was constructed using pairwise similarity distances between participants based on resting-state fMRI and psychosis risk symptoms measured with the PRIME screen. Community detection via a multiplex stochastic block model was performed to identify subject clusters.

Schizophrenia