Bringing Clarity to ADHD: A Survey of EEG-Based Studies

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Authors: Skanda S. Rao, Ashik Varun B R, S. Mouneshachari, Hemanth Mohan P V, Manish P Gutti
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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