Effects of measurement errors on relationships between resting-state functional connectivity and psychological phenotypes.

ABSTRACT: Recent neuroscientific studies have focused on interindividual relationships between resting-state functional connectivity (RSFC) and psychological phenotypes using large datasets with repeated measurements, including the Human Connectome Project (HCP). However, previous studies on RSFC-phenotype relationships have failed to differentiate trait, state, and error effects of RSFC. Latent functional connectivity, which can be estimated in structural equation model (SEM), can be useful in finding RSFC-phenotype relationships controlling state and error effects. We also accounted for measurement errors in psychological phenotypes at the test-, subscale-, or item-level. This study investigates: (i) how measurement errors, including state effects, weaken the associations between RSFC and psycholo

SUBMITTER: Haitani T 

PROVIDER: S-EPMC12365047 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature