Analyses

Liu et al. present a scoping review and propose a model linking historical and structural racism to early-life stress exposures that heighten intergenerational mental health risk, outlining supporting evidence and gaps in research on sociocultural stressors and resilience.

In this study, the authors analyze data from 143 studies involving 2,743 patients to compare the efficacy of neuromodulatory invasive and non-invasive interventions in the treatment of obsessive–compulsive disorder.

This study presents a living systematic review and open-data meta-analytic database from 15 randomized controlled trials examining the effects of psilocybin treatment on depressive symptoms. Existing evidence suggests that psilocybin treatment alleviates depressive symptoms.

This meta-analysis by Luo et al. shows high rates of mental disorders among homeless children and youth—especially substance use and conduct disorders—revealing major global data gaps and an urgent need for targeted mental health support.

This single-group meta-analysis of randomized controlled trials examined clozapine monotherapy efficacy across the schizophrenia spectrum in both treatment-resistant and non-treatment-resistant populations. The study revealed higher clozapine response rates than previously reported, underscoring the importance of a timely initiation of clozapine therapy.

This scoping review highlights the potential of mobile and wearable technologies for continuous monitoring of depressive symptoms. Analyzing 52 studies, it identifies key predictive features and demonstrates that personalized models substantially enhance accuracy in just-in-time depression prediction.

In this systematic review and meta-analysis, the authors investigate how cardiorespiratory fitness relates to the risk of developing mental and neurocognitive disorders

A triple meta-analysis evaluates the effectiveness of transcranial electrical stimulation for obsessive–compulsive disorder treatment through three meta-analytic methods, revealing a moderate therapeutic effect and identifying specific interventions that enhance therapeutic outcomes, guiding future treatment optimization strategies.

This analysis conducted an umbrella review of 36 systematic reviews assessing psychological capacity trajectories. The findings indicate prevalent low-symptom patterns, highlighting gender and socioeconomic factors as risks, while emphasizing the need for diverse, quality assessments in future studies.

This systematic review and meta-analysis synthesizes the latest evidence on diffusion tensor imaging metrics of fractional anisotropy and mean diffusivity across psychosis spectrum disorders. The authors highlight a consistent pattern of fractional anisotropy reduction in the corpus callosum, with age and gender further strengthening these results.

The authors conducted a systematic review and meta-analysis of 62 studies, including more than 4,400 participants across 21 countries, to investigate the effects of nature exposure on self-reported pain.

Children and young people are particularly vulnerable to eco-anxiety. Here the authors systematically review evidence linking social, political and geographic factors to eco-anxiety among children and young people and identify age, gender, media exposure and perceived government inaction among key contributors.

Current psychotherapies for post-traumatic stress disorder (PTSD) in children and adolescents often fail, especially within non-Western and ethnic minority populations. In this meta-analysis, the authors consolidate the most recent evidence regarding creative arts-based interventions for youth suffering from PTSD, underscoring their effectiveness, particularly for non-Western populations such as West African and Middle Eastern youth, and stressing the necessity for more culturally tailored and high-quality randomized controlled trials.

In this meta-analytic structural equation modeling study, Stoia et al. examined whether positive affect mediates the relationship between childhood adversity and psychopathology.

Persisting symptoms after concussion (PSaC) present a complex neuropsychiatric challenge with limited treatment options due to inconsistent neuroimaging findings. Here the authors employ a multi-analytic approach to identify the salience network as a core dysfunction hub in PSaC, proposing specific cortical regions as potential targets for personalized neuromodulation therapies.

In this umbrella review of meta-analyses of neuroimaging studies in schizophrenia, the authors identify a core pattern of brain alterations for prodromal, early and chronic stages, and propose a conceptual framework linking these brain alterations to the pathophysiology and psychopathology of the disorder.

This research systematically reviewed 193 longitudinal studies on psychosocial resilience, revealing inconsistent definitions, predominant variable-centered methodologies and a focus on childhood adversities, while highlighting the need for clearer conceptual frameworks and improved operationalization in future investigations.

Alzheimer’s disease (AD) is characterized by a decline in episodic memory, yet the potential for emotional arousal to enhance memory in patients with AD remains uncertain. Here the authors systematically review 35 studies, revealing that emotional enhancement of memory in AD is influenced by factors such as stimulus type and brain region volumes, suggesting potential therapeutic targets.

This Analysis estimates the health benefits and economic value of enhancing social determinants of mental health in Brisbane South, Australia, home to 1.2 million people. Crosland et al. analyze the impact of a 5% improvement in social cohesion, childhood difficulties, substance misuse, unemployment, underemployment, homelessness and staying engaged with education over 11 years.

This systematic review provides insights into interpersonal dynamics of psychopathology when using various computational approaches and highlights the key challenges in the field of social computational psychiatry, including the need to standardize computational tasks, apply diverse computational models to the same datasets, report more comprehensive performance metrics and adopt open science practices to enhance transparency.