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

Major depressive disorder (MDD) has been characterized by structural abnormalities of
multiple brain regions. Nevertheless, little is known about the underlying neuropathological …

To embrace big-data neuroimaging, harmonizing the site effect in resting-state functional
magnetic resonance imaging (R-fMRI) data fusion is a fundamental challenge. A …

Major depressive disorder (MDD) is a globally prevalent and highly disabling disease
characterized by dysfunction of large-scale brain networks. Previous studies have found that …

Previous studies in small samples have identified inconsistent cortical abnormalities in
major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is …

Introduction The early diagnosis of major depressive disorder (MDD) is very important for
patients that suffer from severe and irreversible consequences of depression. It has been …

Functional connectivity (FC) derived from resting-state fMRI (rs-fMRI) is a primary approach
for identifying brain diseases, but it is limited to capturing the pairwise correlation between …

Recent advances in open neuroimaging data are enhancing our comprehension of
neuropsychiatric disorders. By pooling images from various cohorts, statistical power has …

Major Depressive Disorder (MDD) is a pervasive disorder affecting millions of individuals,
presenting a significant global health concern. Functional connectivity (FC) derived from …

Rumination is closely linked to the onset and maintenance of major depressive disorder
(MDD). Prior neuroimaging studies have identified the association between self‐reported …