Strengthen motor imagery for motor disorders patients in metaverse through brain computer interfaces

Abstract

Abstract Both brain-computer interface (BCI) and metaverse technology are emerging research fields involving computer science, neuroscience, psychological, cognitive science, biomedical engineering, mathematics, signal processing, clinical medicine, automatic control, etc. This paper focuses on the role of both in the medical field for patients with motor disorders (MD). MD is mostly caused by neurological diseases or accidental trauma, which often results in the death of nerve cells, loss of synapses and localised neuronal conduction blockage, thereby damaging the neural network’s structural and functional integrity in the brain and disrupting the brain’s information processing processes, resulting in motor paralysis of the limbs. Approximately 3% of the world’s population is currently suffering from severe disabilities, and approximately 110-190 million people are unable to live independently. Of these, nearly 100 million suffer from motor paralysis caused by stroke, cerebrospinal cord injury and amyotrophic lateral sclerosis, which has a serious impact on their daily work and life. Scientists are already using BCI to help people with paralysis caused by neurological damage to the brain, with a lesser contribution from the metaverse. This paper draws on past BCI and biological experiments to logically reason about methodologies such as neurofeedback, motor imagery, visual prosthesis implantation and training to explore future possibilities for treating MD in the interactive world of BCI and the Metaverse.