Attention deficit hyperactivity disorder (ADHD) is a common neurological disorder that impacts focus, self-control, and other skills important in daily life. Caused by differences in brain anatomy and wiring, it is known to be one of the most common conditions in childhood. As ADHD plays a serious role in how children function in school and in their everyday life, having a deep understanding of this neurological condition is critical.
Recent advances in neuroimaging techniques enable imaging of different brain structures and correlating results to clinical findings, which help in the early diagnosis of this neurological disorder. This book explores ADHD through interesting topics as diagnostic models for ADHD based on neuroimaging methods, application of machine learning algorithms to diagnose ADHD, classification of ADHD by using statistical features of MR images, resting-state functional magnetic resonance imaging as a potential tool for ADHD early diagnosis, brain networks, criminal behavior, supporting academic activities of children with developmental disorders, and application of augmented reality in education of children with ADHD.
Recent advances in neuroimaging techniques enable imaging of different brain structures and correlating results to clinical findings, which help in the early diagnosis of this neurological disorder. This book explores ADHD through interesting topics as diagnostic models for ADHD based on neuroimaging methods, application of machine learning algorithms to diagnose ADHD, classification of ADHD by using statistical features of MR images, resting-state functional magnetic resonance imaging as a potential tool for ADHD early diagnosis, brain networks, criminal behavior, supporting academic activities of children with developmental disorders, and application of augmented reality in education of children with ADHD.
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