Concussion management sits at one of clinical neuroscience's most active frontiers, where the demand for objective, reproducible biomarkers is reshaping how practitioners assess, document, and treat post-concussive patients. EEG, electroencephalography, and ERP, event-related potentials, have emerged as two of the most well-researched and clinically accessible tools available for capturing the brain's electrical response to injury, making EEG/ERP concussion assessment a growing priority for functional neurologists, chiropractors, and allied clinicians working in neurorehabilitation.

This course equips clinicians with a working foundation in EEG and ERP technology applied directly to concussion care. Participants will examine the P300 waveform and its role as an objective marker of cognitive processing speed, explore how alpha, beta, theta, and delta frequency analysis reveals the physiological fingerprint of post-concussive dysfunction, and compare four FDA-approved platforms against real-world clinical workflow demands. Case-based examples drawn from pediatric, adult, and neurodivergent patient populations illustrate how EEG/ERP data integrates with existing clinical findings to produce richer, more defensible patient pictures. Clinicians will also explore how serial scanning enables meaningful treatment monitoring across a care episode.

This course is designed for licensed clinicians in functional neurology, chiropractic neurology, sports medicine, and neuropsychology who are already managing concussed patients and are ready to add objective neurophysiological data to their existing assessment frameworks. No prior EEG training is required. The content is accessible to clinicians who are encountering ERP technology for the first time while remaining substantive enough for those with broader neuroscience backgrounds.