Based on functional magnetic resonance imaging and multilayer dynamic network model,
the brain network's quantified temporal stability has shown potential in predicting altered …

Females and males are known to be different in the prevalences of multiple psychiatric
disorders, while the underlying neural mechanisms are unclear. Based on non-invasive …

Background Late-life depression (LLD) is a common and serious mental disorder, whose
neural mechanisms are not yet fully understood. In this study, we aimed to characterize LLD …

Background Electroconvulsive therapy (ECT) is an effective treatment for patients with major
depressive disorder (MDD), but its underlying neural mechanisms remain largely unknown …

Previous studies have demonstrated that the suicidality in patients with major depressive
disorder (MDD) is related to abnormal brain functional connectivity (FC) patterns. However …

Introduction This study aimed to investigate the possible associations between problematic
smartphone use and brain functions in terms of both static and dynamic functional …

Introduction: Electroconvulsive therapy (ECT) remains one of the most effective approaches
for treatment-resistant depressive episodes, despite the potential cognitive impairment …

Based on non-invasive neuroimaging techniques and graph theory-based network
analyses, many researchers have tried to use small-world network model to elucidate sex …

Electroconvulsive therapy (ECT) is a noninvasive neuromodulation treatment known for its
fast-acting antidepressant properties. ECT remains one of the most effective interventions for …

Major depressive disorder (MDD) is one of the most prevalent mental health conditions,
primarily characterized by depressed mood and loss of interest or pleasure. Cognitive …