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By developing the large-scale cortical spatial–rhythmic network analysis, authors identify putative electrophysiological biomarkers for clinical screening of individuals at high familial risk of bipolar disorder onset.
Griffin and colleagues conducted a population-based study on individuals who attended hospital emergency departments with self-harm in Ireland between 2015 and 2017 to assess the risk of death by suicide over the same period.
Based on a large neuroimaging dataset, the study reveals three robust major depression subtypes, each showing distinct clinical and transcriptomic profiles.
In this clinical trial, a single dose of intravenous ketamine delivered during surgical anesthesia had no greater effect than placebo in acutely reducing the severity of depressive symptoms in adults with major depressive disorder.
Ke et al. investigated the association between trauma exposure and post-traumatic stress disorder symptoms and the gut microbiome and dietary pattern of a cohort of women enrolled in a longitudinal study in the United States.
Burns et al. explored the association between day and night-time light exposure and the risk for psychiatric disorders using a large sample of adults from the UK Biobank dataset.
In this longitudinal ultra-high field neuroimaging study, Zsido et al. show the shared dynamics between the ovarian hormone fluctuations across the menstrual cycle and structural plasticity within the medial temporal lobe.
Gupta and colleagues use multi-omic analyses of neuroimaging and fecal metabolites to identify brain–gut–microbiome disruptions in response to discrimination that may affect preference for unhealthy eating patterns and predispose individuals experiencing discrimination-related stress to obesity.
In this study Stubbs et al. find that neuroimaging neuroimaging abnormalities across substance use disorders map to a common brain network that is similar across imaging modalities and substance use categories.
In this exposome-wide association study using the FinnTwin12 cohort, Wang et al. show that familial component of social exposure has a significant association with depressive symptoms in late adolescence and early adulthood.
The authors conducted a systematic review and meta-analysis to identify predictors of placebo response in repetitive transcranial magnetic stimulation treatment for depression.
In this retrospective study, Wen and colleagues used data from the Adolescent Brain and Cognitive Development cohort study to investigate the neurobiological, psychological and social characteristics that are associated with self-injurious thoughts and behaviours transitions in children.
Zhao, Yang et al. used UK Biobank data to examine the role of lifestyle factors in depression. They conducted multiple analyses and estimated underlying mechanisms related to brain structure, immunometabolism and genetics.
The authors used region of interest (ROI)-to-ROI analysis to investigate functional connectivity patterns in patients with post-traumatic stress disorder (PTSD) and its dissociative subtype compared with healthy controls.
In this cross-sectional study, Blain and colleagues show that sensitivity to diverse visual, cognitive and social, putatively intrinsic rewarding stimuli is partly domain general and is linked to affective aspects of mental health unlike sensitivity to monetary rewards.
Using a large dataset of approximately 300,000 individuals from the UK Biobank, Zhang, Deng, Li et al. investigated the relationships between personality traits, brain health, inflammation and metabolites.
Catarino et al. used real-world data from the UK healthcare system to perform an economic evaluation comparing the cost-effectiveness of in-person and internet-delivered cognitive behavioral therapy for mood and anxiety disorders.
In this Article, Singh and coauthors put forth a new machine-learning approach to evaluate inclusion and exclusion criteria from psychiatry abstracts to automate systematic reviews.
The authors use multimodal magnetic resonance imaging to investigate microstructural alterations and functional deficits in white matter in a multi-disorder sample (patients with schizophrenia, major depressive disorder, bipolar disorder or obsessive–compulsive disorder) when compared with a healthy control sample.
Using an integrated analysis on three independent large human datasets, Wang et al. map macroscale dysconnectivity in schizophrenia onto layer- and cell-type-specific microscale alterations. The authors identify different alterations of corticocortical and corticostriatal connectivity in schizophrenia and their relationship to different symptom dimensions and functional domains.