Monat: Juni 2026

Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study

JMIR Ment Health. 2026 Jun 22;13:e84424. doi: 10.2196/84424. ABSTRACT BACKGROUND: Functional impairments associated with mental health conditions are on the rise. Predicting functional outcomes may improve the targeting of preventive interventions. While prognostic models have primarily focused on psychosis, early recognition services require a transdiagnostic approach. OBJECTIVE: This study aimed to predict global functioning within a 2-year follow-up using baseline clinical and structural magnetic resonance imaging (MRI) data in a population-based sample of young, help-seeking individuals presenting with affective and anxiety symptoms as well as attention-deficit hyperactivity disorder. METHODS: We classified 357 help-seeking individuals aged 18-35 years recruited […]

Distinguishing Chronic and Non-Chronic Depression: A Clinical Profile and Symptom Networks Approach

Psychother Psychosom. 2026 Jun 9:1-15. doi: 10.1159/000552901. Online ahead of print. ABSTRACT INTRODUCTION: Different disorder courses contribute to the large heterogeneity within depressive syndromes. Chronic depression (CD) warrants further investigation given its high prevalence and poor treatment outcomes. This study aimed to identify a clinical profile and symptomatic phenotype associated with CD versus non-chronic depression (NCD) to provide a better characterization of CD. METHODS: The preregistered analysis used cross-sectional data from a large German cohort (N = 994; 64.9% female) with retrospective information on depression trajectories. We assessed associations of nine psychological and social characteristics with CD in […]

Childhood maltreatment is linked to transdiagnostic age- and sex-specific cortical thinning and reduced amygdalar volume in young adults

Eur Neuropsychopharmacol. 2026 Jun 9;112:112900. doi: 10.1016/j.euroneuro.2026.112900. Online ahead of print. ABSTRACT Childhood maltreatment is a transdiagnostic risk factor, whose distributed neural correlates are most timely and urgently assessed in young adults in the earliest stages of emerging mental disorders. Here, we applied a data-driven multivariate approach to identify distributed brain structural signatures associated with childhood maltreatment, with a particular focus on limbic regions, and to examine their relevance for later functional outcomes. In a transdiagnostic sample of 251 individuals (mean age 24.9 ± 4.3, 51.8% male) with early affective or anxiety syndromes, we used a multivariate sparse […]