Bringing Clarity to ADHD: A Survey of EEG-Based Studies
Abstract
Diagnosing ADHD relies heavily on subjective assessments, but EEG provides an objective, non-invasive alternative by identifying neurophysiological biomarkers like the theta/beta ratio and event-related potentials. This review explores EEG’s role in improving ADHD diagnosis, covering advances in machine learning, wearable technology, and automated systems. Despite challenges like reproducibility and comorbidity, EEG holds promise for more accurate, personalized ADHD assessment and treatment.
Fields of Study & Subjects
Attention Deficit Hyperactivity Disorder
EEG and Brain-Computer Interfaces
Autism Spectrum Disorder Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026
- Language
- EN