Development of a neurofeedback algorithm for the treatment of post-traumatic stress disorder

Post-traumatic stress disorder (PTSD) is a complex mental health condition triggered by traumatic events and characterized by symptoms such as intrusive thoughts, emotional numbness, heightened anxiety, and avoidant behaviors. Conventional treatments, including psychotherapy and pharmacotherapy, have limitations and may cause side effects. Neurofeedback (NFB) via electroencephalogram (EEG) offers a promising alternative by enabling patients to learn how to self-regulate their brain activity. This study presents a novel NFB system algorithm designed specifically for PTSD treatment. The algorithm integrates alpha, SMR, and beta rhythm training to comprehensively address PTSD symptoms. Each stage of the algorithm is described in detail, from EEG recording and preprocessing to spectral analysis, target rhythm selection, feedback formation, and real-time parameter adaptation. The approach is tailored to individual needs, dynamically adjusting training parameters to enhance therapeutic outcomes. Designed for home use, the system increases accessibility and convenience, empowering patients to take an active role in their recovery. Comparative analysis with existing methods highlights the advantages of this approach, which effectively targets a wide range of PTSD symptoms. The algorithm represents a significant step toward improving symptom management and enhancing the quality of life for individuals with PTSD.

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