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Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications.
Awuah, Wireko Andrew; Ahluwalia, Arjun; Darko, Kwadwo; Sanker, Vivek; Tan, Joecelyn Kirani; Tenkorang, Pearl Ohenewaa; Ben-Jaafar, Adam; Ranganathan, Sruthi; Aderinto, Nicholas; Mehta, Aashna; Shah, Muhammad Hamza; Lee Boon Chun, Kevin; Abdul-Rahman, Toufik; Atallah, Oday.
Afiliação
  • Awuah WA; Faculty of Medicine, Sumy State University, Sumy, Ukraine.
  • Ahluwalia A; School of Medicine, Queen's University Belfast, Belfast, United Kingdom.
  • Darko K; Department of Neurosurgery, Korle Bu Teaching Hospital, Accra, Ghana.
  • Sanker V; Department of Neurosurgery, Trivandrum Medical College, India.
  • Tan JK; Faculty of Medicine, University of St Andrews, St. Andrews, Scotland, United Kingdom. Electronic address: jkt5@st-andrews.ac.uk.
  • Tenkorang PO; University of Ghana Medical School, Accra, Ghana.
  • Ben-Jaafar A; University College Dublin, School of Medicine, Belfield, Dublin, Ireland.
  • Ranganathan S; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Aderinto N; Internal Medicine Department, LAUTECH Teaching Hospital, Ogbomoso, Nigeria.
  • Mehta A; University of Debrecen-Faculty of Medicine, Debrecen, Hungary.
  • Shah MH; School of Medicine, Queen's University Belfast, Belfast, United Kingdom.
  • Lee Boon Chun K; Cardiff University School of Medicine, Cardiff, Wales, United Kingdom.
  • Abdul-Rahman T; Faculty of Medicine, Sumy State University, Sumy, Ukraine.
  • Atallah O; Department of Neurosurgery, Hannover Medical School, Hannover, Germany.
World Neurosurg ; 189: 138-153, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38789029
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: World Neurosurg Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: World Neurosurg Ano de publicação: 2024 Tipo de documento: Article