Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Machine learning methods have been frequently applied in the field of cognitive
neuroscience in the last decade. A great deal of attention has been attracted to introduce …

Increasing studies have indicated that long non-coding RNAs (lncRNAs) play important
roles in many physiological and pathological pathways. Identifying lncRNA-disease …

The accurate diagnosis of autism spectrum disorder (ASD), a common mental disease in
children, has always been an important task in clinical practice. In recent years, the use of …

Autism spectrum disorder (ASD) is a condition observed in children who display abnormal
patterns of interaction, behavior, and communication with others. Despite extensive research …

Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …

Abstract Background and Objective: People with autism spectrum disorder (ASD) often have
cognitive impairments. Effective connectivity between different areas of the brain is essential …

Autism spectrum disorder (ASD) is a neurodevelopmental condition with early childhood
onset and high heterogeneity. As the pathogenesis is still elusive, ASD diagnosis is …

Feature selection (FS) is a crucial area of cognitive computation that demands further
studies. It has recently received a lot of attention from researchers working in machine …

Dynamic network analysis using resting-state functional magnetic resonance imaging (rs-
fMRI) provides a great insight into fundamentally dynamic characteristics of human brains …