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The authors examined the cognitive components of delusions using a combination of neuroimaging, genetics and machine learning. They found that communications across the cortex during updating of new contextual information was dysfunctional in delusions, and was associated with genetic risk for schizophrenia. Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could improve predictions of individual patient’s symptom severity. It remains to be determined if targeting these brain circuits in individualized treatment could improve psychopathology in the future.
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This page is a summary of: Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions, American Journal of Psychiatry, December 2020, American Psychiatric Association,
DOI: 10.1176/appi.ajp.2020.19111176.
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