Functional connectome organization predicts conversion to psychosis in clinical high-risk youth from the SHARP program
- PMID: 30410064
- PMCID: PMC6813871
- DOI: 10.1038/s41380-018-0288-x
Functional connectome organization predicts conversion to psychosis in clinical high-risk youth from the SHARP program
Abstract
The emergence of prodromal symptoms of schizophrenia and their evolution into overt psychosis may stem from an aberrant functional reorganization of the brain during adolescence. To examine whether abnormalities in connectome organization precede psychosis onset, we performed a functional connectome analysis in a large cohort of medication-naive youth at risk for psychosis from the Shanghai At Risk for Psychosis (SHARP) study. The SHARP program is a longitudinal study of adolescents and young adults at Clinical High Risk (CHR) for psychosis, conducted at the Shanghai Mental Health Center in collaboration with neuroimaging laboratories at Harvard and MIT. Our study involved a total of 251 subjects, including 158 CHRs and 93 age-, sex-, and education-matched healthy controls. During 1-year follow-up, 23 CHRs developed psychosis. CHRs who would go on to develop psychosis were found to show abnormal modular connectome organization at baseline, while CHR non-converters did not. In all CHRs, abnormal modular connectome organization at baseline was associated with a threefold conversion rate. A region-specific analysis showed that brain regions implicated in early-course schizophrenia, including superior temporal gyrus and anterior cingulate cortex, were most abnormal in terms of modular assignment. Our results show that functional changes in brain network organization precede the onset of psychosis and may drive psychosis development in at-risk youth.
Conflict of interest statement
Conflict of interest
The authors declare no conflict of interest.
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Comment in
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Cardiopulmonary Comorbidity, Radiomics and Machine Learning, and Therapeutic Regimens for a Cerebral fMRI Predictor Study in Psychotic Disorders.Neurosci Bull. 2019 Oct;35(5):955-957. doi: 10.1007/s12264-019-00409-1. Epub 2019 Jul 10. Neurosci Bull. 2019. PMID: 31292830 Free PMC article. No abstract available.
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