review · World Neurosurgery
Brain-computer interfaces translate central nervous system signals into commands that operate external equipment, presenting new options for neurological and neurosurgical care. These systems assist individuals who experience severe motor and communication limitations resulting from conditions such as stroke, spinal cord injury, and neurodegenerative disorders. By bypassing damaged or nonfunctional neural pathways, the technology permits direct control over assistive devices, environmental systems, and prostheses. It is particularly vital for people who are completely locked in, establishing a communication route when conventional methods fail. While these interfaces offer greater autonomy and higher quality of life, technical and practical hurdles remain. Key barriers include interpreting complex brain signals accurately, requiring tailored calibration for individual users, and maintaining reliable performance over long periods. Additionally, ethical concerns surrounding patient autonomy, consent, and technological dependence require ongoing attention.
Brain-computer interfaces offer life-changing communication and mobility options for individuals who are otherwise unable to interact with their surroundings. By turning thoughts into operational commands for external machinery, this technology restores independence to individuals living with debilitating neurological conditions and provides practical pathways to bypass permanent physical impairments.
The technology targets assistive medical devices, communication aids, and neural prostheses for healthcare providers and patients living with profound motor impairments. Although the abstract demonstrates clinical and functional applications, ongoing technical hurdles such as individual calibration, signal accuracy, and long-term reliability indicate that the technology remains in an applied research and development stage rather than being fully ready for widespread off-the-shelf commercial deployment.
AI-generated from the published abstract. Always read the original work before citing.
Brain-computer interfaces (BCIs), a remarkable technological advancement in neurology and neurosurgery, mark a significant leap since the inception of electroencephalography in 1924. These interfaces effectively convert central nervous system signals into commands for external devices, offering revolutionary benefits to patients with severe communication and motor impairments due to a myriad of neurological conditions like stroke, spinal cord injuries, and neurodegenerative disorders. BCIs enable these individuals to communicate and interact with their environment, using their brain signals to operate interfaces for communication and environmental control. This technology is especially crucial for those completely locked in, providing a communication lifeline where other methods fall short. The advantages of BCIs are profound, offering autonomy and an improved quality of life for patients with severe disabilities. They allow for direct interaction with various devices and prostheses, bypassing damaged or nonfunctional neural pathways. However, challenges persist, including the complexity of accurately interpreting brain signals, the need for individual calibration, and ensuring reliable, long-term use. Additionally, ethical considerations arise regarding autonomy, consent, and the potential for dependence on technology. Despite these challenges, BCIs represent a transformative development in neurotechnology, promising enhanced patient outcomes and a deeper understanding of brain-machine interfaces.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1016/j.wneu.2024.05.104
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