The findings of neuroimaging studies in children/adolescents with ADHD, and even those of
previous meta-analyses, are divergent. Here, Activation Likelihood Estimation meta …

Individuals with ADHD are characterized as ubiquitously slower and more variable than their
unaffected peers, and increased reaction time (RT) variability is considered by many to …

Background: The notion that ADHD constitutes a heterogeneous disorder is well accepted.
However, this study contributes with new important knowledge by examining independent …

The present study examines the comorbidity between specific learning disorders (SLD) and
attention deficit and hyperactivity disorder (ADHD) by comparing the neuropsychological …

The convolutional neural network (CNN) is a mainstream deep learning (DL) algorithm.
However, the application of DL techniques in attention-deficit/hyperactivity disorder (ADHD) …

OBJECTIVE: The dual pathway model explains neuro-psychological heterogeneity in
Attention Deficit/Hyperactivity Disorder (ADHD) in terms of dissociable cognitive and …

Impulsive behavior is a core DSM-5 diagnostic feature of attention-deficit/hyperactivity
disorder (ADHD) that is associated with several pejorative outcomes. Impulsivity is …

Addictions are often characterized as forms of impulsive behavior. That said, it is often noted
that impulsivity is a multidimensional construct, spanning several psychological domains …

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent and serious
neurodevelopmental disorder characterized by symptoms of inattention and/or hyperactivity …

For the past decade, intra-individual variability in reaction times on computerized tasks has
become a central focus of cognitive research on Attention-Deficit/Hyperactivity Disorder …