Abstract

BackgroundExtensive difficulties in reaching functional milestones characterize schizophrenia and related psychotic disorders. These impairments are in part explained by lower social cognitive abilities, cognitive impairment, and current psychopathology. The present study aims to model dynamic associations among social cognition, neurocognition, psychopathology, social skills, functional capacity, and functional outcomes in schizophrenia using network analysis in order to identify those factors that are most central to functioning. MethodsThe sample consisted of 408 patients with schizophrenia spectrum disorders who were drawn from the SCOPE project. Participants completed a complex battery of state-of-the-art measures of social cognition, neurocognition, and functional outcomes. Gaussian Graphical Modeling was used for estimation of the network structure. Accuracy of the network was evaluated using the Bootstrap method. ResultsData supported the importance of functional capacity and social skills, which are prerequisites to real - world outcomes. These variables were among the most central in the network. Social cognition was related to functional capacity, social skills, and real - world functioning. Negative symptoms were connected to functional capacity, social skills, and real - world functioning. ConclusionsPredictors of functional outcomes are complexly associated with each other. Functional capacity, social - skills, working memory, negative symptoms, mentalizing, and emotion recognition were central nodes that support their importance as potential targets of personalized intervention.

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