Background Suicide is a global public health issue causing around 700,000 deaths
worldwide each year. Therefore, identifying suicidal thoughts and behaviors in patients can …

Previous neuroimaging studies have mainly focused on alterations of static and dynamic
functional connectivity in patients with generalized anxiety disorder (GAD). However, the …

Functional magnetic resonance imaging (fMRI) at resting state (RS) has been widely used to
characterize the main brain networks. Functional connectivity (FC) has been mostly …

Intrinsic neural activity ubiquitously persists in all physiological states. However, how
intrinsic brain activity (iBA) changes over a short time remains unknown. To uncover the …

Numerous studies have shown abnormal brain functional connectivity in individuals with
Alzheimer's disease (AD) or amnestic mild cognitive impairment (aMCI). However, most …

A major challenge in neuroscience is understanding how brain function emerges from the
connectome. Most current methods have focused on quantifying functional connectomes in …

Introduction Developing a machine learning-based approach which could provide
quantitative identification of major depressive disorder (MDD) is essential for the diagnosis …

Emerging evidence has associated autism spectrum disorder (ASD) with static functional
connectivity abnormalities between multiple brain regions. However, the temporal dynamics …

Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the
detection of brain disorders such as autism spectrum disorder based on various …

Investigating the neurobiological mechanism of suicidal ideation (SI) in major depressive
disorder (MDD) may be beneficial to prevent the suicidal behavior. Mounting evidence …