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 …

Autism spectrum disorder (ASD) is neuropsychiatric continuum of disorders characterized by
persistent deficits in social communication and restricted repetitive patterns of behavior …

Objective: The larger sample sizes available from multi-site publicly available neuroimaging
data repositories makes machine-learning based diagnostic classification of mental …

Objective imaging-based biomarker discovery for psychiatric conditions is critical for
accurate diagnosis and treatment. Using a machine learning framework, this work …

An ever-evolving understanding of autism spectrum disorder (ASD) pathophysiology
necessitates that diagnostic standards also evolve from being observation-based to include …

Abstract Resting-state functional Magnetic Resonance Imaging (rs-fMRI) has been
extensively used for diagnostic classification because it does not require task compliance …

While cerebellar alterations may play a crucial role in the development of core autism
spectrum disorder (ASD) symptoms, their pathophysiology on the function of …

This paper employs a novel-deep learning method and brain frequencies to discriminate
school-aged children with autism spectrum disorders (ASD) from typically developing (TD) …

Introduction There has been a growing effort to characterize the time‐varying functional
connectivity of resting state (RS) fMRI brain networks (RSNs). Although voxel‐wise …

Dynamic functional connectivity (DFC) obtained from resting state functional magnetic
resonance imaging (fMRI) data has been shown to provide novel insights into brain function …