This Viewpoint describes the benefits and potential pitfalls of using “big data” to answer hard questions about the practice of clinical psychiatry.
This randomized clinical trial compares the effectiveness of extended-release naltrexone with that of buprenorphine-naloxone in maintaining short-term abstinence from heroin and other illicit substances.
This cross-sectional case-control positron emission tomographic study tests whether dopamine synthesis capacity is elevated in bipolar disorder with psychosis and how this compares with schizophrenia and matched controls.
This consortium study of multiple data sets assesses whether patients with major depressive disorder had different degrees of genetic overlap with obesity-related traits.
This study uses mendelian randomization of candidate gene or genome-wide association studies to evaluate the association between inflammatory biomarkers and the risk of schizophrenia.
This genome-wide association study uses data from the Yale-Penn study to detect genetic risk variants for comorbid alcohol dependence and major depression and to determine whether polygenic risk alleles are shared with neuropsychiatric traits or subcortical brain volumes.
This study estimates the single-nucleotide polymorphism–based heritability of antisocial behavior; identifies novel genetic risk variants, genes, or biological pathways; tests for pleiotropic effects with other psychiatric traits; and reevaluates the candidate gene era data through the Broad Antisocial Behavior Consortium.
This simulation study compares a stepped care case-finding intervention vs a moderate-strength single-level intervention on treatment effectiveness and cost-effectiveness in the 2 years after a natural disaster.
This cohort study examines whether changes in personality traits develop before the onset of mild cognitive impairment or dementia in individuals with no initial impairment.
This cross-sectional study assesses the dorsolateral prefrontal cortex plasticity and its association with working memory in patients with early Alzheimer disease.
This Viewpoint discusses a neurocomputational model of bipolar disorder and makes predictions about how mood changes will escalate, resolve, and reverse in bipolar disorder.
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