Abstract
Attention deficit hyperactivity disorder (ADHD) is a complex neuropsychiatric disorder in which the diagnosed behavior of ADHD individuals reflects negligence and hyperactivity. Around 5% of young kids and 2–4% of grown-ups are found to have ADHD or ADHD-related symptoms. This study aims to provide a detailed review of neuroimaging technologies for ADHD diagnoses such as tomography, electroencephalography (EEG), magneto encephalography (MEG), magnetic resonance imaging (MRI), etc. In the present era, the number of artificial intelligent, machine learning, deep learning algorithms have been introduced along with available advanced technologies and found to be helpful in the identification of ADHD like neuropsychiatric disorders. The work presented in this chapter summarizes the ADHD diagnosing technologies in combination with evolutionary artificial intelligence techniques, which lead to smart possibilities in ADHD diagnosis.
Published Version
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