Articles

In this population-based cohort study, John et al. evaluated the long-term impact of childhood ADHD traits on adult psychological distress and identified societal exclusion as an indirect pathway linking early ADHD traits to poorer midlife mental health.

This research evaluated a single-blinded clinical trial comparing ketamine-assisted psychotherapy combined with Mindfulness-Oriented Recovery Enhancement (MORE) against MORE alone for opioid use disorder, demonstrating significant reductions in drug use and cravings without any serious adverse events.

This study investigated the computational mechanisms linking momentary craving and decision-making in people with moderate to high addiction risk levels for alcohol or cannabis use, uncovering different mechanisms of alcohol and cannabis addiction risk and implying the need for substance-specific interventions.

In this study, the authors examine the potential shared genetic vulnerability across externalizing traits related to substance use and to substance use disorders.

In this study, Agathos et al. examine alterations in thalamocortical network connectivity during cognitive restructuring of negative cognitions in individuals with post-traumatic stress disorder, using ultrahigh-field 7-T functional MRI and dynamic causal modeling.

Using retrospective health-record analyses, Hidalgo-Padilla et al. evaluated whether differences in remote versus in-person primary care consultations were associated with subsequent use of acute mental health services in the UK.

In this study, long-term effects of PM_2.5-bound copper and zinc on depression in older US adults are investigated, finding significant associations with increased depression rates, emphasizing the need for public health interventions targeting environmental contaminants affecting mental health.

In this study, Constable et al. examine the association between exposure to sexual and physical violence and enduring transdiagnostic psychopathological traits in a diverse sample of 842 adults.

Using plasma proteome profiles from over 53,000 UK Biobank participants, Zhang et al. examined proteins associated with suicidal behavior and investigated pathways that could explain the association

Wang et al. analyzed data from the Detroit Neighborhood Health Study to explore links between social adversity, post-traumatic stress and epigenetic regulation through blood-derived micro-RNA profiles.

This study investigates whether genetic predisposition to systemic inflammation affects cortical thinning trajectories and the risk for psychopathology in adolescents, using data from the Adolescent Brain Cognitive Development Study.

This research identifies two neural factors linked to externalizing and internalizing symptoms through a longitudinal imaging-genetic cohort. Distinct neural configurations and cognitive-behavioral relevance highlight the need for tailored therapeutic strategies addressing psychiatric comorbidity across developmental stages.

In this study, the authors perform a comprehensive series of analyses to assess the role of disruptions in brain state dynamics in major depressive disorder, using data from the UK Biobank.

This study utilized a longitudinal cohort of adolescents to identify distinct brain signatures linked to ADHD symptom trajectories, revealing that specific cortical and subcortical changes correlate with symptom persistence, remission and emergence, enhancing predictive capabilities for ADHD outcomes.

Chen et al. assessed the prevalence and risk factors for treatment-resistant postpartum depression using nationwide data from the Swedish National Medical Birth Register.

Zhang et al. examine associations between wildfire-specific PM_2.5 and emergency department visits for mental disorders in children across 845 communities in Australia, Brazil and Canada over a 15-year period.

Nuzum et al. used cross-sectional data from the UK PROTECT study to evaluate the relationship between high autistic traits and suicidality in older adults.

Pender et al. evaluated depression and anxiety symptom trajectories in autistic adults receiving routine therapy in UK primary care.

In this longitudinal cohort study, Wang et al. examine how depression and recall of adverse childhood experiences interact over time among Chinese university students.

This study identifies key neurocognitive domains that distinguish patients with schizophrenia from healthy individuals using machine learning. Analyzing data from 1,304 participants, it demonstrates that verbal learning and emotion identification effectively classify conditions, promoting efficient neurocognitive profiling strategies.