Adolescent Major Depressive Disorder (MDD) is a common and serious mental illness that
could lead to tragic outcomes including chronic adult disability and suicide. In this paper, we …

Although 20% of patients with depression receiving treatment do not achieve remission,
predicting treatment-resistant depression (TRD) remains challenging. In this study, we …

Background A seminal study found higher subgenual frontal cortex resting-state connectivity
with 2 left ventral frontal regions and the dorsal midbrain to predict better response to …

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 …

Childhood trauma is a leading risk factor for adolescents developing major depressive
disorder (MDD); however, the underlying neuroimaging mechanisms remain unclear. This …

Importance More than half of all patients with major depressive disorder (MDD) experience a
relapse within 2 years after recovery. It is unclear how relapse affects brain morphologic …

Objective Machine learning (ML) has been widely used to detect and evaluate major
depressive disorder (MDD) using neuroimaging data, ie, resting-state functional magnetic …

Abstract Background Major Depressive Disorder (MDD) is a psychiatric disorder
characterized by functional brain deficits, as documented by resting-state functional …

Objective In this study, we used amplitude of low-frequency fluctuation (ALFF) and regional
homogeneity (ReHo) to observe differences in local brain functional activity and its …

Identification of the treatment-related responders for adolescent Major Depressive Disorder
(MDD) is urgently needed to develop effective treatments. In this paper, machine learning …