Evidence map›Paper›PMID 35126800›Full record

ArticleIEEE systems journal2021

Concerns in the Blurred Divisions between Medical and Consumer Neurotechnology.

Andrew Y Paek, Justin A Brantley, Barbara J Evans, Jose L Contreras-Vidal

Abstract read
In one paragraph

Article in IEEE systems journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Safeguarding Neural Data.Neurology · 2026
    Review
  2. Contemporary Ethical Considerations in Psychiatric Neurosurgery.Stereotactic and functional neurosurgery · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Deep Mobile Linguistic Therapy for Patients with ASD.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. A Roadmap Towards Standards for Neurally Controlled End Effectors.IEEE open journal of engineering in medicine and biology · 2021
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Andrew Y Paek *Department of Electrical & Computer Engineering and the IUCRC BRAIN Center at the University of Houston, Houston, TX, USA.
Justin A Brantley *Department of Electrical & Computer Engineering and the IUCRC BRAIN Center at the University of Houston. He is now with the Department of Bioengineering at the University of Pennsylvania, Philadelphia, PA, USA.
Barbara J EvansLaw Center and IUCRC BRAIN Center at the University of Houston. University of Houston, Houston, TX. She is now with the Wertheim College of Engineering and Levin College of Law at the University of Florida, Gainesville, FL, USA.
Jose L Contreras-VidalDepartment of Electrical & Computer Engineering and the IUCRC BRAIN Center at the University of Houston, Houston, TX, USA.

Funding

A Hybrid Neural-Machine Interface for Volitional Control of a Powered Lower Limb ProsthesisK00NS105210 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BRANTLEY, JUSTIN ALEXANDER · 2020 to 2022
$218k
A Hybrid Neural-Machine Interface for Volitional Control of a Powered Lower Limb ProsthesisF99NS105210 · NINDS · UNIVERSITY OF HOUSTON · PI BRANTLEY, JUSTIN ALEXANDER · 2017 to 2018
$73k
NINDS NIH HHS F99 NS105210NINDS NIH HHS K00 NS105210
6 · The paper itself

Abstract

Neurotechnology has traditionally been central to the diagnosis and treatment of neurological disorders. While these devices have initially been utilized in clinical and research settings, recent advancements in neurotechnology have yielded devices that are more portable, user-friendly, and less expensive. These improvements allow laypeople to monitor their brain waves and interface their brains with external devices. Such improvements have led to the rise of wearable neurotechnology that is marketed to the consumer. While many of the consumer devices are marketed for innocuous applications, such as use in video games, there is potential for them to be repurposed for medical use. How do we manage neurotechnologies that skirt the line between medical and consumer applications and what can be done to ensure consumer safety? Here, we characterize neurotechnology based on medical and consumer applications and summarize currently marketed uses of consumer-grade wearable headsets. We lay out concerns that may arise due to the similar claims associated with both medical and consumer devices, the possibility of consumer devices being repurposed for medical uses, and the potential for medical uses of neurotechnology to influence commercial markets related to employment and self-enhancement.

Indexed as

Brain Computer InterfaceConsumer ProductsData PrivacyEthicsLawMedical diagnosisNeural ProsthesisNeurofeedbackPatient Rehabilitation

Identifiers

PMID35126800
PMCPMC8813044

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.