Reviews & Analysis

In this Consensus Statement, Iasiello et al. outline key dimensions of positive mental health and propose a taxonomy to standardize concepts across disciplines, strengthening measurement, intervention design and policy development.

Neuroscience research struggles to link neurobiological phenotypes with real-world mental health experiences, especially in youth. Here the authors challenge assumptions in functional neuroimaging studies, proposing alternative methods that reveal complex, individual-specific brain patterns, enhancing predictive models of psychiatric issues and advancing the understanding of adolescent mental health.

In this Review, the authors examine the evidence for cognitive impairment in individuals with bipolar disorder, explore underlying mechanisms and potential treatments, and advocate for incorporating cognitive screening into routine clinical practice.

In this Review, the authors explore how psychedelics such as LSD and psilocybin may disrupt maladaptive circuits and enhance neuroplasticity in obsessive–compulsive disorder (OCD), potentially offering a therapeutic approach for OCD by resetting pathological patterns and improving network connectivity.

In this Perspective, the authors present rumination as a dynamic interpersonal process through the Dynamic Interpersonal Model of Rumination (DIM-Rum), integrating diverse findings to highlight feedback loops, thereby suggesting new avenues for intervention and methodological expansion in mental health studies.

This Review synthesizes current evidence on the link between metabolic dysfunction and mental health outcomes, highlighting the importance of integrating metabolic screening into psychiatric care.

This Perspective outlines P³, a transdiagnostic computational framework that uses smartphone-based behavioral and sensing data to estimate an individual’s precision profile across key predictive domains, offering a mechanistic foundation for more personalized and clinically meaningful precision psychiatry.

This Perspective proposes a framework that categorizes autism into type I and type II subtypes based on early developmental features. Utilizing machine learning, it identifies distinct neurobiological mechanisms for enhancing understanding and addressing heterogeneity in autism diagnoses and outcomes.

In this Perspective, the authors discuss chatbot interactions, highlighting potential risks of emotional dependence and mental health impacts, necessitating coordinated public health responses.

Adolescence is a crucial period of brain maturation and rising risk for mental health. Using longitudinal neuroimaging and genetic data from over 11,000 youths, this study shows that genetic susceptibility to systemic inflammation is associated with accelerated cortical thinning and increased externalizing psychopathology, suggesting a neuroimmune pathway underlying psychiatric vulnerability.

In this Perspective, the authors present a dynamical systems perspective to autism emphasizing a more person-focused view in autism research. This framework explains why group-average approaches are often inconclusive, thus underscoring the need for a transition to individual-level, non-Gaussian analytical techniques.

Although lifestyle-based interventions show promise for pain reduction, how factors such as nature exposure affect pain is still unclear. A systematic review and meta-analysis now shows that nature exposure is related to reductions in self-reported pain across various nature-based interventions.

This Perspective study highlights the necessity for paradigm shifts in psychopathology research, emphasizing resourcefulness, coalition-building and outreach to enhance assessment, diagnosis and treatment methodologies within the field.

We used artificial intelligence (AI) to map pan-disease dimensions — disease subtypes across an array of organ-specific disorders — from imaging data of the brain, eye and heart that captured shared and organ-specific heterogeneity. We then showed how these AI-derived dimensions can predict future risks of disease and mortality, provide insights into clinical trials, and inform potential drug targets.

In this Perspective, the authors provide an overview of the four-level community-based intervention by the European Alliance Against Depression and highlight the need for improved public mental health care for depression and suicide risk.

This Perspective considers the addition of ACKR1 genetic testing for identifying ACKR1/DARC-associated neutropenia in patients receiving clozapine, recommending eligibility criteria and testing strategies while estimating substantial cost savings for the UK healthcare system and enhancing equitable treatment access.

In this Perspective, Last and Khazanov call for democratizing AI in behavioral healthcare, urging that service users, providers and the public—not private interests—shape its development and deployment.

In this Review the authors integrate the latest evidence on predictive processing alterations across the continuum of psychosis and discuss its potential applications as a biomarker and in therapeutic interventions.

Evidence from national medical records of over 8 million people in the Netherlands shows that autism is associated with increased risk of cardiometabolic conditions. These associations emerged in adolescents and young adults, suggesting earlier onset of such conditions in individuals with autism than in individuals without it.

A large-scale global meta-analysis highlights the efficacy of creative arts-based interventions in reducing symptoms of post-traumatic stress disorder (PTSD) among children and adolescents, especially those from underrepresented, non-Western populations.