Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Central to the development of clinical applications of functional connectomics for neurology
and psychiatry is the discovery and validation of biomarkers. Resting state fMRI (R-fMRI) is …

This work presents a novel method for learning a model that can diagnose Attention Deficit
Hyperactivity Disorder (ADHD), as well as Autism, using structural texture and functional …

Functional magnetic resonance imaging without an explicit task (ie, resting-state functional
magnetic resonance imaging) of individuals with attention-deficit/hyperactivity disorder …

Background Attention deficit hyperactivity disorder (ADHD) is a ubiquitous
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …

Children with neurodevelopmental disorders benefit most from early interventions and
treatments. The development and validation of brain-based biomarkers to aid in objective …

Neuroimaging techniques have been widely adopted to detect the neurological brain
structures and functions of the nervous system. As an effective noninvasive neuroimaging …