The Role of Brain Mapping and EEG in Chronic Pain and Neurofeedback Therapy: The BrainView System

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.