Importance Combining antidepressants is frequently done in the treatment of acute
depression, but studies have yielded conflicting results. Objective To conduct a systematic …

Depression is a potentially life-threatening disorder affecting millions of people across the
globe. It is a huge burden to both the individual and society, costing over£ 9 billion in 2000 …

Antidepressants are widely prescribed, but their efficacy relative to placebo is modest, in part
because the clinical diagnosis of major depression encompasses biologically …

Background Antidepressant treatment efficacy is low, but might be improved by matching
patients to interventions. At present, clinicians have no empirically validated mechanisms to …

Importance Currently, fewer than 40% of patients treated for major depressive disorder
achieve remission with initial treatment. Identification of a biological marker that might …

Treatment management for Major Depressive Disorder (MDD) has been challenging.
However, electroencephalogram (EEG)-based predictions of antidepressant's treatment …

BACKGROUND: The application of rTMS in Depression has been very well investigated
over the last few years. However, little is known about predictors of non-response associated …

Highlights•Machine learning offers new scope for identifying novel and robust predictors of
psychiatric treatment response.•Validation of putative biomarkers in unseen data is essential …

The management of depression remains a constant challenge in clinical practice. This is
largely due to the fact that initial treatments frequently do not lead to remission and recovery …

Objective The problem of identifying, in advance, the most effective treatment agent for
various psychiatric conditions remains an elusive goal. To address this challenge, we …