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Ethics in Biology, Engineering and Medicine: An International Journal
Главный редактор: Subrata Saha (open in a new tab)

ISSN Печать: 2151-805X

ISSN Онлайн: 2151-8068

SJR: 0.123

EEG-Based Neurofeedback: The Promise of Neurotechnology and Need for Neuroethically Informed Guidelines and Policies

Том 2, Выпуск 3, 2011, pp. 221-232
DOI: 10.1615/EthicsBiologyEngMed.2012004853
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Краткое описание

There is increasing interest in the use of electroencephalograpically (EEG)-based neurofeedback in both clinical and nonclinical settings, due in part to new developments in the field, and greater public exposure and demand. While new iterations of EEG-based brain machine neurotechnologies (BMNs) are improving the viability of such approaches, it is important to address distinctions between types, utility and value of EEG-based BMNs so as to accurately assess potential benefits, burdens, and risks. This paper explicates technical distinctions between EEG-based BMNs, defines important neuroethical issues arising from their use and/or misuse, and posits a series of recommendations for guidelines and policies. These include: (1) the use of BMN technologies to treat neuropsychological conditions should be limited to clinical settings, and be under the supervision of healthcare professionals; (2) EEG-based BMN devices should be more strictly defined, as regards their technology, mechanism(s), and effects; (3) ongoing research needs to be conducted to further address mechanisms of neurofeedback, improve neurofeedback technology, and inform guidelines and policies; and (4) such guidelines and policies should be engaged in governmental oversight and regulation of neurofeedback devices that are employed in both clinical and nonclinical settings, so as to insure apt use, and mitigate potential deleterious effects.

ЦИТИРОВАНО В
  1. Shook John R., Galvagni Lucia, Giordano James, Cognitive enhancement kept within contexts: neuroethics and informed public policy, Frontiers in Systems Neuroscience, 8, 2014. Crossref

  2. Bárd Imre, Singh Ilina, Attention Deficit Hyperactivity Disorder: Improving Performance Through Brain–Computer Interface, in Handbook of Neuroethics, 2015. Crossref

  3. DuRousseau Donald R., QEEG Biomarkers: Assessment and Selection of Special Operators, and Improving Individual Performance, in Foundations of Augmented Cognition, 8027, 2013. Crossref

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