A Practical and Affordable EEG-Based Methodology for Detecting Neurodegenerative Diseases: Insights for Education and Research

The possibility of brain-computer interface (BCI) technologies, i.e., electroencephalography (EEG), detecting and monitoring neurodegenerative diseases like Alzheimer's at the early stage has been explored in this research work. EEG patterns of control participants and Alzheimer's patients were contrasted and established to have substantial differences in power in frequency bands. The difference indicates abnormal processing and neural activity. A particular focus was on frontotemporal regions, employing a subarray electrode arrangement to determine the feasibility of EEG-based diagnostics in low-resource environments. The findings suggest the potential for EEG as a readily deployable non-invasive test for the identification of early biomarkers for neurodegeneration, and promise new hope for early treatment and improved patient outcomes. The research emphasizes the importance of BCI technology in reducing the worldwide burden of neurodegenerative diseases. This study offers a reliable and cost-effective method for advancing neuroscientific research.