Hierarchical Clustering of Canonical Retinal-Biopsychosocial Covariation Patterns Reveals Distinct Psychosis Subgroups: A Data-Driven Study from the UK Biobank

BackgroundRetinal alterations and related health/cognitive profiles are reported in psychosis spectrum disorders (PSD), but it is unknown whether multivariate retina-biopsychosocial covariations can identify biologically distinct subgroups. MethodsLayer-resolved retinal thicknesses were obtained from macula-centered optical coherence tomography (OCT) scans using UK Biobank data from 476 adults (238 PSD, 238 age- and sex-matched controls). Biopsychosocial measures included sociodemographic/economic, cardiometabolic, ocular, and cognitive measures. Canonical correlation analysis (CCA) was employed to characterize patterns of covariation between retinal and biopsychosocial measures. Statistically reliable retina-biopsychosocial covariations were hierarchically clustered to derive subgroups, which were compared across various profiles using general linear models with false-discovery rate (FDR) correction. ResultsCCA revealed a multivariate retinal-biopsychosocial association pattern (r=0.468, 95% CI=0.410-0.527, p<.0001) linking lower retinal thickness, primarily outer-layers with greater socioeconomic deprivation, higher BMI, poorer visual acuity and lower cognitive performance. Hierarchical clustering of CCA projections based on this multivariate pattern identified 2 internally stable groups. Patients in cluster 1 (retina-preserved, 43.7% PSD, 81.9% controls) were cytoarchitecturally and systemically similar to controls, except for thicker nerve fiber layer (RNFL, Cohens d=0.32, pFDR=0.0093). Cluster 2 (retina-impaired) had significantly more participants with PSD (76% PSD) and they exhibited lower thicknesses across total macula (d=-0.80, pFDR=5.64x10-12), RNFL (d=-0.39, pFDR=0.0009), and photoreceptor layers (d=-0.42 to -1.06, pFDR<.0001), and were also characterized by lower socioeconomic status (d=-0.71 to -1.35, pFDR<.0001). ConclusionsIntegrating layer-resolved OCT with biopsychosocial measures can noninvasively stratify PSD into biologically meaningful subgroups, underscoring the translational potential of retinal microstructure for precision psychiatry beyond symptom-based classifications.