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Will connectome-based predictive modeling change how we care for people at risk of late-life suicide? A novel two-step modeling approach used by Gao et al. in their study sheds light on the road ahead.
Adolescents differ in their beliefs, or mindsets, about the nature and workings of their personal qualities. Here we present theory and data that show why changing adolescents’ mindsets can lead to more productive coping with challenging situations and improved mental health.
Lee et al. combined data from mobile phone users, green spaces distribution and the United Kingdom Household Longitudinal Survey from 2020 to 2021 to evaluate how access to green spaces affected people’s mental health during COVID-19 pandemic lockdowns.
Lee et al. identify a positive relationship between life stress and current psychological symptoms in individuals with low, but not high, cortisol response and positive affectivity.
This Review summarizes the advances in personalized medicine and drug discovery in psychiatry and suggests a framework for the development of clinically relevant biological subtypes in the field.
In this prospective cohort study of Syrian refugee children living in Lebanon, authors identified that daily exposure to stressors was the factor most strongly associated with children’s mental health problems.
Using magnetic resonance imaging and connectome-based predictive modelling, Gao et al. find that brain connectivity data can predict suicide risk in patients with late-life depression.
Despite the many modern challenges to mental health, opportunities for improving outcomes abound. Multidisciplinary and structural approaches to mental health research provide promise and a call to work toward mental health equity. Nature Mental Health hopes to be part of that progress.
People with borderline personality disorder (BPD) are at increased risk of suicide and face a shortage of efficient treatments options. A new study shows that brain stimulation by magnetic seizure therapy, combined with dialectical behavioral therapy, reduces suicidality, depressive symptoms and interpersonal symptoms in people with BPD.
Multiple sclerosis is a neurological disease that involves white matter lesions throughout the brain, and depression is a common comorbidity. In this paper, Siddiqi, Kletenik et al. propose the use of a recently developed technique known as lesion network mapping to identify a common depression network that may represent a treatment target for neuromodulatory approaches to treating depression.
Neurotechnologies that measure and modulate brain activity have not yet reached widespread clinical relevance. To accelerate translation into patient care, we propose three strategic adjustments in neurotechnology research — to consider the scope, scalability and stakeholders.
Traynor, Ruocco et al. find that the conjoint magnetic seizure therapy and dialectical behaviour therapy lead to a rapid, significant and clinically meaningful reduction in suicidal ideation in individuals with comorbid borderline personality disorder and treatment-resistant depression.
Man, Gao and colleagues find that methylphenidate treatment in children with attention deficit hyperactivity disorder is associated with reduced risk of physical abuse.
In this network and pairwise meta-analysis of 498 brain imaging studies, McCutcheon et al. demonstrate patterns of distinct and overlapping brain volume changes across psychiatric disorders.
Osimo et al. developed two models to predict the risk of treatment-resistant schizophrenia in patients with a first-episode psychosis using blood-based biomarkers and sociodemographic data routinely collected at psychosis onset in psychosis early intervention services in the United Kingdom. They used clozapine treatment as a proxy for treatment-resistant schizophrenia using data from 785 patients for model development and 1,110 patients for external validation.
In this Perspective, the authors propose a new approach to addressing mental health globally that encompasses a breadth of disciplines, from neuroscience to intervention and implementation sciences.