Document Type : Original Article
Researchers
1 Master's student, Psychology and Education of Exceptional Children, Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran.
2 Assistant professor, Department of Psychology and Education of Exceptional Children, Faculty of Psychology and Educational Sciences, Allameh Tabatabaei University, Tehran, Iran.
3 Department of Sports Pathology and Corrective Exercises, Physical Education and Sports Sciences Allameh Tabataba'i University
Ministerial Ethics Committee
This research investigates the applications of electroencephalogram (EEG) analysis in the diagnosis and assessment of Attention Deficit Hyperactivity Disorder (ADHD) in adults. The aim of the study is to determine the relationship between clinical features and brain wave signals (alpha and beta signals) in adults diagnosed with attention deficit/hyperactivity disorder. This is a correlational quantitative study. Data will first be collected in a laboratory setting, and then the quantitative data obtained will be evaluated using Pearson correlation tests. Participants aged 18 and above, who have received an ADHD diagnosis through interviews and the Adult ADHD Self-Report Scale (ASRS), and are willing to participate, will be included in the study. Given the importance of early diagnosis and modern assessment methods, this research aims to analyze the changes in brain structure and electrical activity in individuals with ADHD. The study examines the relationship between clinical features and brain waves, within the framework of EEG technology and its relevant fluctuations. By utilizing clinical data and EEG results, the study intends to identify specific electrophysiological markers to distinguish between affected and healthy individuals. Another goal is to develop intervention approaches, such as neurofeedback, to improve brain function and reduce ADHD symptoms. Ultimately, this research aims to serve as an effective step in enhancing diagnosis and treatment methods for adults with ADHD, offering new and more precise solutions, and highlighting the significant role of modern technologies in psychiatric and neurophysiological sciences.