Articles

In this study, a post-hoc analysis of medical records for individuals being treated with Cobenfy investigates real-world effectiveness, identifying predictors of response and suggesting the existence of biologically distinct psychosis subgroups.

Young individuals with a history of self-harm exhibit heightened electrodermal activity in response to neutral and stress-related stimuli, extending our understanding of the biophysiological factors for self-harm vulnerability.

Li et al. conducted a nationwide, three-generation study in the Netherlands (n = 15 million) to investigate familial associations between ADHD, autism and cardiometabolic conditions using population-based registers.

Weinmar et al. examined the link between emotion regulation and perinatal depression symptoms in a Swedish population-based cohort.

This research adopts a symptom-level approach to evaluate the effects of sertraline on depression and anxiety using network models from the PANDA trial, revealing early benefits for core symptoms while highlighting adverse impacts on somatic manifestations over time.

Harper et al. used data from a national population-based cross-sectional survey to assess the prevalence, magnitude and distribution of climate change anxiety in Canada.

The authors present data demonstrating that neighborhood-level personal trust influences severe mental illness incidence in a large cohort in Sweden, varying by heritage, emphasizing tailored public health strategies for mental wellbeing.

Wang et al. analyzed data from a large population-based cohort study in China to examine the relationship between blood cell biomarkers and the risk of depression.

This research investigates the neurobiological factors influencing weight gain, using brain scans from diverse cohorts to develop a predictive model. The findings indicate that BMIgap correlates with psychiatric conditions, suggesting its potential for identifying at-risk individuals and guiding personalized interventions.

Here the authors explore dynamic connectivity associated with rumination in a large adolescent cohort, revealing that adult models do not generalize, while exploratory analyses suggest that variability in default-mode network connections may predict rumination, highlighting challenges in understanding depression risk factors.

This study demonstrates that guanfacine immediate release enhances cognitive control circuit function and behavioral performance in a neurobiologically defined cognitive biotype of depression, achieving a 76.5% clinical response rate and improving life satisfaction, marking a promising advance in precision medicine.

Singla et al. report the secondary analysis of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial.

In this study, the authors investigate functional connectivity alterations across global, region-to-region and network scales in children and adolescents with ADHD. They highlight an imbalance in interaction between higher-order cognitive and lower-order sensory brain networks.

Rakesh et al. used data from the Adolescent Brain Cognitive Development cohort study to evaluate the relationship between state-level income inequality, brain structure and function, and mental health in young people.

Military personnel face increased exposure to pandemic-related stressors, yet their mental health impacts remain underexplored. Here, the authors analyze data from the STARRS Longitudinal Study, revealing significant increases in mental health issues among soldiers during COVID-19, particularly among vulnerable groups, underscoring the need for targeted support during pandemics.

Sperry et al. used machine learning approaches to investigate profiles of mood instability and create a prediction model for clinical and functioning outcomes using data from the Prechter Longitudinal Study of Bipolar Disorder.

Brain age gaps (BAGs) highlight deviations from healthy brain aging, yet their biophysical underpinnings in aging and dementia are not well understood. Here, the authors use EEG connectivity and generative modeling across diverse populations to reveal that BAGs are influenced by geography, income, sex and education, with implications for understanding accelerated aging and dementia.

This study identifies brain connectivity patterns linked to the duration of methamphetamine abstinence in individuals with methamphetamine use disorder. The identified networks were validated in an out-of-sample replication.

The authors report a meta-analysis of methylome-wide association studies, identifying 15 significant CpG sites linked to major depression, revealing associations with inflammatory markers and suggesting potential causal relationships through Mendelian randomization analysis.

In this large-scale study, the authors used multimodal neuroimaging and cognitive data from UK Biobank participants to examine the relationship between regional adiposity and brain health.