Recent functional magnetic resonance imaging (fMRI) studies on autism spectrum condition
(ASC) have identified dysfunctions in specific brain networks involved in social and non-…

When collecting large amounts of neuroimaging data associated with psychiatric disorders,
images must be acquired from multiple sites because of the limited capacity of a single site. …

Abstract Machine learning classifiers for psychiatric disorders using resting-state functional
magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for …

Objective We conducted a meta-analysis of resting state functional magnetic resonance
imaging (R-fMRI) studies in children/adolescents and adults with ADHD to assess spatial …

Aberrant anatomical brain connections in attention-deficit/hyperactivity disorder (ADHD) are
reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre-…

Growing evidence suggests that a broad range of behavioral anomalies in people with autism
spectrum disorder (ASD) can be linked with morphological and functional alterations in …

Many studies have highlighted the difficulty inherent to the clinical application of fundamental
neuroscience knowledge based on machine learning techniques. It is difficult to generalize …

Background Previous autism research has hypothesized that abnormalities of functional
connectivity in autism spectrum disorder (ASD) may vary with the spatial distance between two …

Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using
the current diagnostic system based on presenting symptoms and signs. The creation of a …

According to the operational diagnostic criteria, psychiatric disorders such as schizophrenia
(SZ), bipolar disorder (BD), major depressive disorder (MDD), and autism spectrum disorder …