The Role of Brain Mapping and EEG in Chronic Pain and Neurofeedback Therapy: The BrainView System
Annie TL Young, Slav Danev, Jonathan RT Lakey
Chronic pain and traumatic brain injury (TBI), particularly mild TBI (mTBI), are prevalent
neurological conditions that remain difficult to detect and manage using conventional imaging methods.
Electroencephalography (EEG), with its portability and high temporal resolution, offers a promising
alternative for assessing neural dysfunction—though historically limited by noise, artifacts, and complex
interpretation.
Recent advances in artificial intelligence (AI)-driven EEG analysis have demonstrated high accuracy in
distinguishing chronic pain conditions and show potential for detecting subtle abnormalities associated
with mTBI. Additionally, neurofeedback interventions targeting specific EEG frequency bands (e.g.,
alpha, theta) have been shown to reduce pain intensity and improve functional outcomes in conditions
such as spinal cord injury and fibromyalgia. The increasing availability of portable EEG systems also
expands access to care for underserved populations.
This paper reviews the integration of EEG, quantitative EEG (qEEG), AI, and neurofeedback as
emerging tools for the diagnosis and treatment of chronic pain and TBI. We highlight the BrainView
system, a non-invasive, portable platform that combines these technologies to provide AI-enhanced EEG
analysis, source localization, and neurofunctional assessment. BrainView generates comprehensive
neurofunctional response test reports, including brain maps, EEG frequency analysis, evoked
potentials (EPs), neurobehavioral assessments, self-report questionnaires, and physician summaries.
We also examine recent technical advances, current limitations, and future directions for EEG-based
neuromodulation. As a combined system, BrainView and related EEG-based technologies offer a
powerful, non-invasive approach to improving diagnosis and treatment, particularly in remote and
military healthcare settings.
