Bringing Clarity to ADHD: A Survey of EEG-Based Studies
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.
Authors
- S. Mouneshachari
- Hemanth Mohan P V
- Skanda S. Rao
- Ashik Varun B R
- Manish P Gutti
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-13
- DOI
- https://doi.org/10.5281/zenodo.18228564
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 0.00