Background No previous study has comprehensively reviewed the application of machine
learning algorithms in mood disorders populations. Herein, we qualitatively and …

Psychotropic medication efficacy and tolerability are critical treatment issues faced by
individuals with psychiatric disorders and their healthcare providers. For some people, it can …

Major depressive disorder (MDD) is a leading cause of disease burden worldwide. While the
incidence, symptoms and treatment of MDD all point toward major sex differences, the …

Major depressive disorder (MDD) remains the subject of ongoing research as a multifactorial
disease and a serious public health problem. There is a growing body of literature focusing …

Objective Predicting the outcomes of individual participants for treatment interventions
appears central to making mental healthcare more tailored and effective. However, little …

Long non-coding RNAs (lncRNAs) are an emerging class of regulatory RNA that may be
implicated in psychiatric disorders. Here we performed RNA-sequencing in the rostral …

The exposure to stressful experiences during the prenatal period and through the first years
of life is known to affect the brain developmental trajectories, leading to an enhanced …

Background Major depressive disorder is a debilitating illness, which is most commonly
treated with antidepressant drugs. As the majority of patients do not respond on their first …

Abstract microRNAs (miRNAs) are a broad group of endogenous small non-coding
molecules that reduce the transcription of mRNA and play a key role in post-transcriptional …

Background Antidepressant treatment is associated with a high rate of poor response, and
thus, biomarker development is warranted. Methods We aimed to synthesize studies …