Individuals with mental health difficulties often seek out interventions to assist with their mental health disorders. Neurofeedback assistance has shown promise in research by enhancing these mental health interventions by giving users their subjective feelings and thoughts a physical entity (dependent on how the feedback is administered).
However, neurofeedback requires a brain-computer interface (often EEG, fNIRS, or fMRI). These devices are often costly, limiting applications to low/middle-income countries, and can be obstructed based on how the device gathers neural data (fMRI would prevent anyone with metallic implants and EEG/fNIRS would prevent anyone with thick hair or obstructions on the head from using). This would limit advancements in mental health interventions for specific demographics if neurofeedback ever becomes implemented in clinical mental health settings. More accessible and cheaper methods of extracting neural data should be researched to help prevent potential future disparities in mental health support.
