ArticleBiological psychiatry2022
Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes.
Article in Biological psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06945627 (Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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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.
Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections: Translating Epidemiology to Deep-phenotyping
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inflammation as a mediating pathway between social defeat and mental health in humans: A systematic review.Translational psychiatry · 2026Pooled it
- Disrupted hierarchical functional brain organization in affective and psychotic disorders: insights from functional brain gradients.Translational psychiatry · 2026Article
- Morphometric Inverse Divergence Networks Combined with HYDRA Identify Parkinson's Disease Subtypes with Distinct Transcriptomic and Serum Biomarker Profiles.International journal of molecular sciences · 2026Article
- Neurobiological subtypes in alcohol use disorder and their phenotypic and clinical profiles.Molecular psychiatry · 2026Article
- Neuroimaging-Based Subgroups in Schizophrenia: A Critical Appraisal of Clustering Studies.Biological psychiatry global open science · 2026Review
- Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study.JMIR mental health · 2026Observational
- Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state.Translational psychiatry · 2026Article
- Multi-organ AI endophenotypes chart the heterogeneity of brain, eye and heart pan-disease.Nature. Mental health · 2026Article
- Screen, Sample, Stratify: Biomarkers and Machine Learning Compress Dementia Pathways.Biomedicines · 2026Article
- Molecular Mechanisms Explaining Neuroanatomical Subtypes in Major Depressive Disorder: Insights From Cortical Morphometric Inverse Divergence.Human brain mapping · 2025Article
- Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders.Nature biomedical engineering · 2025Article
- Major depressive disorder on a neuromorphic continuum.Nature communications · 2025Article
- The Psychosis MRI Shared Data Resource (Psy-ShareD).Human brain mapping · 2025Article
- Environmentally derived subgroups of preadolescents with family history of substance use exhibit distinct patterns of psychopathology and reward-related behaviors: insights from the ABCD study.Frontiers in child and adolescent psychiatry · 2025Article
- Distinct cortical morphometric inverse divergence changes in Parkinson's disease correlate with transcriptional expression patterns.NeuroImage. Clinical · 2025Article
- Biomarker discovery using machine learning in the psychosis spectrum.Biomarkers in neuropsychiatry · 2024Article
- Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.Biological psychiatry · 2024Review
- Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.Schizophrenia bulletin · 2024Article
- Article
- Biological Methods for Diagnosing Depressive Symptoms in Patients with Schizophrenia: A Narrative Review.Consortium psychiatricum · 2024Review
Corrections and comments
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Authors and funding
36 authors.
Funding
Abstract
backgroundIdentifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify clusters across patients with recent-onset depression (ROD) and recent-onset psychosis (ROP) based on structural neuroimaging data. We hypothesized that these transdiagnostic clusters would identify patients with poor outcome and allow more accurate prediction of symptomatic remission than traditional diagnostic structures.
methodsHYDRA (Heterogeneity through Discriminant Analysis) was trained on whole-brain volumetric measures from 577 participants from the discovery sample of the multisite PRONIA study to identify neurobiologically driven clusters, which were then externally validated in the PRONIA replication sample (n = 404) and three datasets of chronic samples (Centre for Biomedical Research Excellence, n = 146; Mind Clinical Imaging Consortium, n = 202; Munich, n = 470).
resultsThe optimal clustering solution was two transdiagnostic clusters (cluster 1: n = 153, 67 ROP, 86 ROD; cluster 2: n = 149, 88 ROP, 61 ROD; adjusted Rand index = 0.618). The two clusters contained both patients with ROP and patients with ROD. One cluster had widespread gray matter volume deficits and more positive, negative, and functional deficits (impaired cluster), and one cluster revealed a more preserved neuroanatomical signature and more core depressive symptomatology (preserved cluster). The clustering solution was internally and externally validated and assessed for clinical utility in predicting 9-month symptomatic remission, outperforming traditional diagnostic structures.
conclusionsWe identified two transdiagnostic neuroanatomically informed clusters that are clinically and biologically distinct, challenging current diagnostic boundaries in recent-onset mental health disorders. These results may aid understanding of the etiology of poor outcome patients transdiagnostically and improve development of stratified treatments.
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