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ABSTRACT: Objectives
Social and nonsocial cognition are defined as distinct yet related constructs. However, the relative independence of individual variables-and whether specific tasks directly depend on performance in other tasks-is still unclear. The current study aimed to answer this question by using a Bayesian network approach to explore directional dependencies among social and nonsocial cognitive domains.Study design
The study sample comprised 173 participants with schizophrenia (71.7% male; 28.3% female). Participants completed 5 social cognitive tasks and the MATRICS Consensus Cognitive Battery. We estimated Bayesian networks using directed acyclic graph structures to examine directional dependencies among the variables.Study results
After accounting for negative sy
SUBMITTER: Abplanalp SJ
PROVIDER: S-EPMC10318874 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature