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

This review focuses on the cognitive neuroscience of Attention Deficit Hyperactivity Disorder
(ADHD) based on functional magnetic resonance imaging (fMRI) studies and on recent …

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 …

Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …

Differences in cerebellar structure have been identified in autism spectrum disorder (ASD),
attention deficit hyperactivity disorder (ADHD), and developmental dyslexia. However, it is …

The validity of diagnostic labels of autism spectrum disorder (ASD), attention-
deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open …

In this paper, we provide an extensive overview of machine learning techniques applied to
structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We …

Pattern classification and stratification approaches have increasingly been used in research
on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation …

Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …