Brain-computer interfaces in cognitive rehabilitation for Alzheimer's disease

Alzheimer's disease (AD) is a chronic neurodegenerative disease that primarily affects individuals in late adulthood and early adulthood. Its prevalence is rising annually, posing a significant challenge to global public health. While existing pharmacological agents can modestly retard the progression of the disease, they are unable to enhance the cognitive function of patients meaningfully. As an emerging intervention, brain-computer interface (BCI) technology offers a novel cognitive rehabilitation pathway for individuals with Alzheimer's disease. In light of the current state of research on Alzheimer's disease, this paper examines the underlying mechanisms of AD-related cognitive impairment and elucidates the fundamental principles and cognitive rehabilitation theories associated with the brain-computer interface. It highlights the potential applications of BCI in various aspects of Alzheimer's disease management, including diagnosis, monitoring, assessment, and personalized rehabilitation training. This discussion underscores the promise and value of BCI technology in addressing the cognitive challenges associated with Alzheimer's disease and provides insights into the future directions of BCI research in this field.