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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.