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Ethical considerations on novel neuronal interfaces

Overview of attention for article published in Neurological Sciences, December 2017
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Title
Ethical considerations on novel neuronal interfaces
Published in
Neurological Sciences, December 2017
DOI 10.1007/s10072-017-3209-x
Pubmed ID
Authors

Kadircan H. Keskinbora, Kader Keskinbora

Abstract

Wireless powered implants, each smaller than a grain of rice, have the potential to scan and stimulate brain cells. Further research may lead to next-generation brain-machine interfaces for controlling prosthetics, exoskeletons, and robots, as well as "electroceuticals" to treat disorders of the brain and body. In conditions that can be particularly alleviated with brain stimulation, the use of such mini devices may pose certain challenges. Health professionals are becoming increasingly more accountable in decision-making processes that have impacts on the life quality of individuals. It is possible to transmit such stimulation using remote control principles. Perhaps, the most important concern regarding the use of these devices termed as "neural dust" is represented by the possibility of controlling affection and other mental functions via waves reaching the brain using more advanced versions of such devices. This will not only violate the respect for authority principle of ethics, but also medical ethics, and may potentially lead to certain incidents of varying vehemence that may be considered illegal. Therefore, a sound knowledge and implementation of ethical principles is becoming a more important issue on the part of healthcare professionals. In both the ethical decision-making process and in ethical conflicts, it may be useful to re-appraise the principles of medical ethics. In this article, the ethical considerations of these devices are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Researcher 5 8%
Other 3 5%
Other 7 12%
Unknown 23 39%
Readers by discipline Count As %
Neuroscience 7 12%
Engineering 6 10%
Biochemistry, Genetics and Molecular Biology 4 7%
Medicine and Dentistry 4 7%
Computer Science 3 5%
Other 10 17%
Unknown 25 42%