» Articles » PMID: 38403619

[Ethical Considerations for Medical Applications of Implantable Brain-computer Interfaces]

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

Implantable brain-computer interfaces (BCIs) have potentially important clinical applications due to the high spatial resolution and signal-to-noise ratio of electrodes that are closer to or implanted in the cerebral cortex. However, the surgery and electrodes of implantable BCIs carry safety risks of brain tissue damage, and their medical applications face ethical challenges, with little literature to date systematically considering ethical norms for the medical applications of implantable BCIs. In order to promote the clinical translation of this type of BCI, we considered the ethics of practice for the medical application of implantable BCIs, including: reducing the risk of brain tissue damage from implantable BCI surgery and electrodes, providing patients with customized and personalized implantable BCI treatments, ensuring multidisciplinary collaboration in the clinical application of implantable BCIs, and the responsible use of implantable BCIs, among others. It is expected that this article will provide thoughts and references for the research and development of ethics of the medical application of implantable BCI.

Citing Articles

A review of ethical considerations for the medical applications of brain-computer interfaces.

Zhang Z, Chen Y, Zhao X, Fan W, Peng D, Li T Cogn Neurodyn. 2024; 18(6):3603-3614.

PMID: 39712096 PMC: 11655950. DOI: 10.1007/s11571-024-10144-7.

References
1.
Perge J, Zhang S, Malik W, Homer M, Cash S, Friehs G . Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex. J Neural Eng. 2014; 11(4):046007. PMC: 4142142. DOI: 10.1088/1741-2560/11/4/046007. View

2.
Branco M, Pels E, Sars R, Aarnoutse E, Ramsey N, Vansteensel M . Brain-Computer Interfaces for Communication: Preferences of Individuals With Locked-in Syndrome. Neurorehabil Neural Repair. 2021; 35(3):267-279. PMC: 7934157. DOI: 10.1177/1545968321989331. View

3.
Perge J, Homer M, Malik W, Cash S, Eskandar E, Friehs G . Intra-day signal instabilities affect decoding performance in an intracortical neural interface system. J Neural Eng. 2013; 10(3):036004. PMC: 3693851. DOI: 10.1088/1741-2560/10/3/036004. View

4.
Vaughan T . Brain-computer interfaces for people with amyotrophic lateral sclerosis. Handb Clin Neurol. 2020; 168:33-38. DOI: 10.1016/B978-0-444-63934-9.00004-4. View

5.
Jarosiewicz B, Sarma A, Bacher D, Masse N, Simeral J, Sorice B . Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface. Sci Transl Med. 2015; 7(313):313ra179. PMC: 4765319. DOI: 10.1126/scitranslmed.aac7328. View