- Biological mechanisms and possible primary prevention of depression
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- Mental health impact of the Middle East respiratory syndrome, SARS, and COVID-19: A comparative systematic review and meta-analysis
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- Changes in the amplitude of low-frequency fluctuations in specific frequency bands in major depressive disorder after electroconvulsive therapy
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- Altered thalamic subregion functional networks in patients with treatment-resistant schizophrenia
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- False dogmas in mood disorders research: Towards a nomothetic network approach
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- Lidocaine in fibromyalgia: A systematic review
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- Dimensional (premenstrual symptoms screening tool) vs categorical (mini diagnostic interview, module U) for assessment of premenstrual disorders
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- Role of serendipity in the discovery of classical antidepressant drugs: Applying operational criteria and patterns of discovery
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- Effects of antiseizure medications on alternative psychosis and strategies for their application
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- Anorexia nervosa: Outpatient treatment and medical management
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- Does COVID-19 increase the risk of neuropsychiatric sequelae? Evidence from a mendelian randomization approach
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- Trends in suicide by hanging, strangulation, and suffocation in Serbia, 1991-2020: A joinpoint regression and age-period-cohort analysis
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- Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives
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- Magnesium-L-threonate exhibited a neuroprotective effect against oxidative stress damage in HT22 cells and Alzheimer’s disease mouse model
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- Neuroimmune crosstalk through brain-derived neurotrophic factor and its precursor pro-BDNF: New insights into mood disorders
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- Catatonia in older adults: A systematic review
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- Common outcome, different pathways: Social information-processing deficits in autism spectrum disorder and attention-deficit/hyperactivity disorder
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- Drug-induced stuttering: A comprehensive literature review
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- Prenatal nicotine alters development of the laterodorsal tegmentum: Possible role for attention-deficit/hyperactivity disorder and drug dependence
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- Screening dementia and predicting high dementia risk groups using machine learning
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