General Functional Connectivity: shared features of resting-state and task fMRI drive reliable individual differences in functional brain networks

摘要: Intrinsic connectivity, commonly measured using resting-state fMRI, has emerged as a fundamental feature of the brain. However, largely due to practical limitations, many studies do not collect enough data generate reliable measures intrinsic connectivity necessary for studying individual differences. Here we present general functional (GFC) method leveraging shared features across and task fMRI demonstrate that GFC is substantially more than estimated from typically available alone (i.e., 5-10 minutes). We further increase in reliability gained through boosts predictive utility by accounting upwards 200% variance domain intelligence. Our work suggests represents an opportunity improve mapping differences, collection scans need be zero-sum competition when designing future studies.