Development of EEG-BCI based cognition training game

Abstract

As cognitive impairment becomes increasingly common in aging populations, the need for greater effective training interventions grows as well. This study explores the impact of real time neurofeedback with adaptive mechanisms in a brain-computer interface (BCI) cognitive training game, specifically designed for the elderly population. By comparing baseline training without real-time neuro-loop, to EEG-based neurofeedback training, we assessed the attention and memory improvements of participants through RMS attention scores, match scores and final performance metrics. Results do indicate positive enhanced attentional control and better memory recall from the adaptive neurofeedback training. The findings suggest that real-time adjustments to in-game mechanisms do optimize engagement and learning efficiency, preventing cognitive overload all while sustaining focus. While promising, this study does acknowledge a need for larger sample sizes, prolonged training sessions and further validation to determine the longer term effectiveness of this approach. Nonetheless, integrating neurofeedback-driven personalization into cognitive training may provide immense help in mitigating cognitive decline and enhancing the quality of life for the elderly.