Fig. 4: Association between network distinctiveness and clinical symptoms.

Residuals, after removing the effects of age, sex and random intercepts of site from the clinical scores estimated using the LMM method, were plotted against the system segregation index of the frontal communities. Each dot represents one participant. The lines indicate the fitted association. The beta and p values were estimated using the LMM method before FDR correction. Upper panel: Higher frontal SA community system segregation index was associated with higher SOPS positive symptom score in CHR-NT (q = 0.008). CHR-T was higher in frontal SA system segregation index and SOPS positive symptom score than CHR-NT. Lower panel: The lower frontal CT community was associated with higher SOPS negative symptom scores in CHR-T (uncorrected p = 0.016, q = 0.063). CHR-T was lower in the frontal CT community system segregation index and higher in SOPS negative symptom scores than CHR-NT. CHR-T individuals at clinical high risk for psychosis who transited to psychosis later in the follow-up; CHR-NT individuals at clinical high risk for psychosis who did not transit to psychosis later in the follow-up; SA cortical surface area; CT cortical thickness; SOPS Scale of Psychosis-risk Symptoms; LMM linear mixed modelling; q FDR corrected p value; FDR false discovery rate; * significant at both uncorrected p < 0.05 and corrected p < 0.05; + significant at uncorrected p < 0.05 but did not survive multiple comparison corrections.