Allert G, Blasszauer B, Boyd K, Callahan D (1996) The goals of medicine: setting new priorities. Hastings Center Rep 26(6):S1

Article  Google Scholar 

Attiah MA, Farah MJ (2014) Minds, motherboards, and money: futurism and realism in the neuroethics of BCI technologies. Front Syst Neurosci 8(86):86. https://doi.org/10.3389/fnsys.2014.00086

Article  PubMed  PubMed Central  Google Scholar 

Bergeron D, Iorio-Morin C, Bonizzato M et al (2023) Use of invasive brain-computer interfaces in pediatric neurosurgery: technical and ethical considerations. J Child Neurol 38(3–4):223–238. https://doi.org/10.1177/08830738231167736

Article  PubMed  PubMed Central  Google Scholar 

Bouton CE, Shaikhouni A, Annetta et al (2016) Restoring cortical control of functional movement in a human with quadriplegia. Nature 533(7602):247–250. https://doi.org/10.1038/nature17435

Article  PubMed  CAS  Google Scholar 

Burwell S, Sample M, Racine E (2017) Ethical aspects of brain computer interfaces: a scoping review. BMC Meical Ethics 18:1–11. https://doi.org/10.1186/s12910-017-0220-y

Article  Google Scholar 

Chaudhary U, Birbaumer N, Ramos-Murguialday A (2016) Brain–computer interfaces in the completely locked-in state and chronic stroke. Prog Brain Res 228:131–161. https://doi.org/10.1016/bs.pbr.2016.04.019

Article  PubMed  CAS  Google Scholar 

Chaudhary U, Xia B, Silvoni S et al (2017) Brain–computer interface–based communication in the completely locked-in state. PLoS Biol 15(1):e1002593. https://doi.org/10.1371/journal.pbio.1002593

Article  PubMed  PubMed Central  CAS  Google Scholar 

Clausen J (2009) Man, machine and in between. Nature 457(7233):1080–1081. https://doi.org/10.1038/4571080a

Article  PubMed  CAS  Google Scholar 

Friedrich EV, Sivanathan A, Lim T, Suttie N, Louchart S et al (2015) An effective neurofeedback intervention to improve social interactions in children with autism spectrum disorder. J Autism Dev Disord 45:4084–4100. https://doi.org/10.1007/s10803-015-2523-5

Article  PubMed  Google Scholar 

Goering S, Yuste R (2016) On the necessity of ethical guidelines for novel neurotechnologies. Cell 167(4):882–885. https://doi.org/10.1016/j.cell.2016.10.029

Article  PubMed  CAS  Google Scholar 

Graimann B, Allison BZ, Pfurtscheller G (eds) (2010) Brain-computer interfaces: revolutionizing human-computer interaction. Springer Science & Business Media, Berlin, Germany

Google Scholar 

Guy V, Soriani MH, Bruno M et al (2018) Brain computer interface with the P300 speller: usability for disabled people with amyotrophic lateral sclerosis. Annals Phys Rehabilitation Med 61(1):5–11. https://doi.org/10.1016/j.rehab.2017.09.004

Article  Google Scholar 

Haselager P, Vlek R, Hill J et al (2009) A note on ethical aspects of BCI. Neural Netw 22(9):1352–1357. https://doi.org/10.1016/j.neunet.2009.06.046

Article  PubMed  Google Scholar 

Herff C, Krusienski DJ, Kubben P (2020) The potential of stereotactic-EEG for brain-computer interfaces: current progress and future directions. Front NeuroSci 14:123. https://doi.org/10.3389/fnins.2020.00123

Article  PubMed  PubMed Central  Google Scholar 

Jeong JH, Shim KH, Kim DJ et al (2020) Brain-controlled robotic arm system based on multi-directional CNN-BiLSTM network using EEG signals. IEEE Trans Neural Syst Rehabil Eng 28(5):1226–1238. https://doi.org/10.1109/TNSRE.2020.2981659

Article  PubMed  Google Scholar 

Karabanov A, Thielscher A, Siebner HR (2016) Transcranial brain stimulation: closing the loop between brain and stimulation. Curr Opin Neurol 29(4):397. https://doi.org/10.1097/WCO.0000000000000342

Article  PubMed  PubMed Central  Google Scholar 

Keskinbora KH (2019) Medical ethics considerations on artificial intelligence. J Clin Neurosci 64:277–282. https://doi.org/10.1016/j.jocn.2019.03.001

Article  PubMed  Google Scholar 

Kim CH, Choi B, Kim DG et al (2016) Remote navigation of turtle by controlling instinct behavior via human brain-computer interface. J Bionic Eng 13(3):491–503. https://doi.org/10.1016/S1672-6529(16)60322-0

Article  Google Scholar 

Klein E (2020) Ethics and the emergence of brain-computer interface medicine. Handb Clin Neurol 168:329–339. https://doi.org/10.1016/B978-0-444-63934-9.00024-X

Article  PubMed  Google Scholar 

Kosal M, Putney J (2023) Neurotechnology and international security: predicting commercial and military adoption of brain-computer interfaces (BCIs) in the United States and China. Politics Life Sci 42(1):81–103. https://doi.org/10.1017/pls.2022.2

Article  PubMed  Google Scholar 

Kreitmair KV (2019) Dimensions of ethical direct-to-consumer neurotechnologies. AJOB Neurosci 10(4):152–166. https://doi.org/10.1080/21507740.2019.1665120

Article  PubMed  Google Scholar 

Kübler A et al (2015) Toward independent home use of brain-computer interfaces: a decision algorithm for selection of potential end-users. Arch Phys Med Rehabil 96(3):S27–S32. https://doi.org/10.1016/j.apmr.2014.03.036

Article  PubMed  Google Scholar 

Laureys S, Owen AM, Schiff ND (2004) Brain function in coma, vegetative state, and related disorders. Lancet Neurol 3(9):537–546. https://doi.org/10.1016/S1474-4422(04)00852-X

Article  PubMed  Google Scholar 

Lesenfants D, Habbal D, Lugo Z et al (2014) An independent SSVEP-based brain–computer interface in locked-in syndrome. J Neural Eng 11(3):035002. https://doi.org/10.1088/1741-2560/11/3/035002

Article  PubMed  CAS  Google Scholar 

Long R, Havics B, Zembillas M et al (2019) Elucidating the end-of-life experience of persons with amyotrophic lateral sclerosis. Holist Nurs Pract 33:3–8. https://doi.org/10.1097/HNP.0000000000000301

Article  PubMed  Google Scholar 

Lü Xiaotong D, Peng L Siyu, et al (2021) Human factors engineering of brain-computer interface and its applications: human-centered brain-computer interface design and evaluation methodology. J Biomed Eng 38(2):210–223. https://doi.org/10.7507/1001-5515.202101093

Article  Google Scholar 

Lucchiari C et al (2019) Editorial: brain stimulation and behavioral change. Front Behav Neurosci 13:20. https://doi.org/10.3389/fnbeh.2019.00020

Article  PubMed  PubMed Central  Google Scholar 

Lyu X, Ding P, Li S et al (2023) Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery. Cogn Neurodyn 17(1):105–118. https://doi.org/10.1007/s11571-022-09808-z

Article  PubMed  Google Scholar 

Ma Yixin G, Anmin N, Wenya et al (2022) Personalized brain–computer interface and its applications. J Personalized Med 13(1):2–25. https://doi.org/10.3390/jpm13010046

Article  Google Scholar 

Mefferd AS, Pattee GL, Green JR (2014) Speaking rate effects on articulatory pattern consistency in talkers with mild ALS. Clin Linguist Phon 28(11):799–811. https://doi.org/10.3109/02699206.2014.908239

Article  PubMed  PubMed Central  Google Scholar 

Merk T, Peterson V, Lipski WJ et al (2022) Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease. Elife 11:e75126. https://doi.org/10.7554/eLife.75126

Article  PubMed  PubMed Central  CAS  Google Scholar 

Munivenkatappa A, Rajeswaran J, Indira Devi B et al (2014) EEG neurofeedback therapy: can it attenuate brain changes in TBI? NeuroRehabilitation 35(3):481–484. https://doi.org/10.3233/NRE-141140

Article  PubMed  Google Scholar 

Oxley TJ, Opie NL, John SE et al (2016) Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity. Nat Biotechnol 34(3):320–327. https://doi.org/10.1038/nbt.3428