Separating neuroethics from neurohype

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Access through your institution Buy or subscribe Of the three types of DTC neurotechnologies the authors claim pose the greatest concerns—neuromarketing applications of imaging research,


non-invasive neuromodulation devices, and brain–computer interfaces for control or self-monitoring—only the last two represent DTC neurotechnologies. The first category, neuroimaging,


consists of companies using imaging techniques to attempt to discern consumer preferences and is not currently applied in the DTC context, as the authors acknowledge. Yet the authors


speculate that expensive and unwieldy neuroimaging techniques like functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) will become DTC —even though they currently


cost between $1 and $2 million2, require radio frequency and electromagnetically shielded rooms, and necessitate that the subject remain almost completely motionless during data collection.


In support of this view, they cite a 2018 study of a new MEG prototype3 that according to them “could lead, in the near future, to a new generation of lightweight, wearable neuroimaging


headsets” (p. 807). However, the MEG prototype was only ‘wearable’ in the sense of not being tethered to the floor—the subject was required to limit head motion to within 10 cm and had to


remain between two large panels of magnetic coils3. In addition, given that a full-brain prototype of this device would cost ~$1 million4, it is difficult to envisage how a consumer-grade


MEG lies anywhere in the near future. Furthermore, the authors seem to assume that accurate, portable neuroimaging techniques will become ubiquitous (“... once DTC neuromonitoring becomes


sufficiently widespread…”; p. 807). Should a consumer version of an fMRI or MEG ever be developed—which is speculation at present—there is no reason to assume that it will become widespread.


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ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Ienca, M., Haselager, P. & Emanuel, E. J. _Nat. Biotechnol._


36, 805–810 (2018). Article  CAS  Google Scholar  * Ariely, D. & Berns, G. S. _Nat. Rev. Neurosci._ 11, 284–292 (2010). Article  CAS  Google Scholar  * Boto, E. et al. _Nature_ 555,


657–661 (2018). Article  CAS  Google Scholar  * Price, M. _Science_ https://doi.org/10.1126/science.aat6570 (2018). * Bonaci, T., Herron, J., Libey, T., Mogen, B. & Chizeck, H. _AJOB


Neurosci._ 6, 82–83 (2015). Google Scholar  * Martinovic, I. et al. On the feasibility of side-channel attacks with brain-computer interfaces. _Security ’12 Proceedings of the 21st USENIX


Conference on Security Symposium_ (USENIX Association, 2012); https://www.usenix.org/conference/usenixsecurity12/technicalsessions/presentation/martinovic * Farwell, L. A. & Donchin, E.


_Electroencephalogr. Clin. Neurophysiol._ 70, 510–523 (1988). Article  CAS  Google Scholar  * Chen, Y., Li, T., Zhang, R., Zhang, Y. & Hedgpeth, T. EyeTell: video-assisted touchscreen


keystroke inference from eye movements. in _2018 IEEE Symposium on Security and Privacy_ 144–160 (2018); https://doi.org/10.1109/SP.2018.00010 * Wang, C., Guo, X., Wang, Y., Chen, Y. &


Liu, B. Friend or foe?: your wearable devices reveal your personal PIN. in _ASIA CCS ’16 Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security_ 189–200 (ACM


Press, 2016); https://doi.org/10.1145/2897845.2897847 * Cai, L. & Chen, H. TouchLogger: inferring keystrokes on touch screen from smartphone motion.


https://www.usenix.org/legacy/events/hotsec11/tech/final_files/Cai.pdf (2011). * Shukla, D., Kumar, R., Serwadda, A. & Phoha, V.V. Beware, your hands reveal your secrets! in _CCS ’14


Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security_ 904–917 (ACM, 2014); https://doi.org/10.1145/2660267.2660360 * Lange, J., Massart, C., Mouraux, A.


& Standaert, F.-X. in _Constructive Side-Channel_ _Analysis and Secure Design_ 10348, 171–189 (Springer, 2017). * Widge, A. S. et al. _Am. J. Psychiatry_ 176, 44–56 (2018). Article 


Google Scholar  * Sweeney, L. J. _Law Med. Ethics_ 25, 98–110, 82 (1997). * Wexler, A. & Thibault, R. _J. Cogn. Enhanc._ 3, 131–137 (2018). Article  Google Scholar  * Racine, E., Martin


Rubio, T., Chandler, J., Forlini, C. & Lucke, J. _Med. Health Care Philos._ 17, 325–337 (2014). Article  Google Scholar  Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS *


University of Pennsylvania, Medical Ethics and Health Policy, Philadelphia, PA, USA Anna Wexler Authors * Anna Wexler View author publications You can also search for this author inPubMed 


Google Scholar CORRESPONDING AUTHOR Correspondence to Anna Wexler. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Wexler, A. Separating neuroethics from


neurohype. _Nat Biotechnol_ 37, 988–990 (2019). https://doi.org/10.1038/s41587-019-0230-z Download citation * Published: 09 August 2019 * Issue Date: September 2019 * DOI:


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