Major depressive disorder (MDD), also referred to as depression, is one of the most common
psychiatric disorders with a high economic burden. The etiology of depression is still not …

The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …

Recent studies have provided promising evidence that neuroimaging data can predict
treatment outcomes for patients with major depressive disorder (MDD). As most of these …

Objective diagnosis and prognosis in major depressive disorder (MDD) remains a challenge
due to the absence of biomarkers based on physiological parameters or medical tests …

Major depressive disorder is among the most prevalent psychiatric disorders, exacting a
substantial personal, social, and economic toll. Antidepressant treatment typically involves …

How emotions are represented in the nervous system is a crucial unsolved problem in the
affective neuroscience. Many studies are striving to find the localization of basic emotions in …

The prediction of antidepressant response is critical for psychiatrists to select the initial
antidepressant drug for patients with major depressive disorders (MDD). The implicated …

Abstract Purpose of Review Poor treatment response is a hallmark of major depressive
disorder. To tackle this problem, recent neuroimaging studies have sought to characterize …

No tools are currently available to predict whether a patient suffering from major depressive
disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic …

One of the greatest challenges in providing early effective treatment in mood disorders is the
early differential diagnosis between major depression (MDD) and bipolar disorder (BD). A …