ArticleSchizophrenia bulletin2026
Decoding Psychosis Risk: Neuroanatomical Correlates of the NAPLS-2 Calculator in the PRONIA Cohort.
Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
Abstract
backgroundIdentifying neuroanatomical correlates of clinical prediction models may offer pathophysiological insights into the clinical high-risk states for psychosis (CHR-P) and unveil new therapeutic targets for early intervention. STUDY
designWe used the North American Prodrome Longitudinal Study (NAPLS-2) risk calculator to obtain psychosis risk scores for 315 CHR-P (M = 23.85, SD = ± 5.64; female: 164) and 295 recent-onset depression (M = 25.11, SD = ± 6.21; female: 144) patients from the Personalized Prognostic Tools for Early Psychosis Management (PRONIA) cohort. Voxel-based morphometry was employed to examine associations between risk scores, gray matter volume (GMV), and white matter volume (WMV). Post-hoc, we used eigenvariate extraction to explore network-level alterations associated with significant regions. Moderation analyses were conducted to understand the influence of individual NAPLS-2 risk variables on these networks (False Discovery Rate-corrected). STUDY
resultsReduced hippocampal GMV (${k}_E$ = 847 voxels) and cerebellar WMV (${k}_E$ = 10 423 voxels) were associated with higher risk scores. Post-hoc analyses revealed parallel structural alterations between these regions and the entorhinal cortex, anterior cingulate cortex, thalamus, anterior limb of the internal capsule, and pons. Moderation analyses showed that family risk (first-degree relative with psychotic disorder), verbal memory, and social functioning significantly influenced structural patterns.
conclusionsOur results provide evidence for neuroanatomical correlates of the NAPLS-2 model, with alterations in hippocampal circuits suggesting a key prognostic role in the development of neurocognitive and psychosocial deficits across diagnostic boundaries. Future longitudinal studies incorporating multimodal imaging techniques should validate these findings as potential biomarkers for psychosis risk.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.