Multivariate analysis approaches provide insights into the identification of phenotype
associations in brain connectome data. In recent years, deep learning methods including …

Objective There is no objective method to diagnose major depressive disorder (MDD). This
study explored the neuroimaging biomarkers using the support vector machine (SVM) …

Regional brain activity abnormalities have been reported in major depressive disorder
(MDD) with childhood trauma (CT). However, these findings were variable and equivocal …

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

Introduction Previous studies have shown disrupted effective connectivity in the large-scale
brain networks of individuals with major depressive disorder (MDD). However, it is unclear …

Previous studies have shown that major depressive disorder (MDD) patients exhibit
structural and functional impairments, but few studies have investigated changes in higher …

Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks
can disturb the emotion-cognition interactions, contributing to the development of mental …

Covering neuroimaging evidence has demonstrated that epileptic symptoms are associated
with the disrupted topological architecture of the brain network. Infantile spasms (IS) as an …

Family history (FH) of major depressive disorder (MDD) significantly influences the progress
of this illness. However, the underlying neural mechanism of FH remains unclear. This study …