There is a recent trend to leverage the power of graph neural networks (GNNs) for brain-
network based psychiatric diagnosis, which, in turn, also motivates an urgent need for …

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 …

Extensive studies focus on analyzing human brain functional connectivity from a network
perspective, in which each network contains complex graph structures. Based on resting …

Depression and anxiety disrupt daily function and their effects can be long-lasting and
devastating, yet there are no established physiological indicators that can be used to predict …

Major depressive disorder (MDD) is characterized by impairments in mood and cognitive
functioning, and it is a prominent source of global disability and stress. A functional magnetic …

Working memory (WM) impairments are common features of psychiatric disorders. A
systematic meta‐analysis was performed to determine common and disorder‐specific brain …

Background Electroconvulsive therapy (ECT) is considered the most effective treatment for
major depressive disorder (MDD). In recent years, the pursuit of the neurobiological …

Though sertraline is commonly prescribed in patients with major depressive disorder (MDD),
its superiority over placebo is only marginal. This is in part due to the neurobiological …

Predictive models for recovering from alcohol use disorder (AUD) and identifying related
predisposition biomarkers can have a tremendous impact on addiction treatment outcomes …

Dysfunction of brain resting-state functional networks has been widely reported in
psychiatric disorders. However, the causal relationships between brain resting-state …