Evidence map›Paper›PMID 36675707›Full record

ReviewJournal of personalized medicine2022

Personalized Brain-Computer Interface and Its Applications.

Yixin Ma, Anmin Gong, Wenya Nan, Peng Ding, Fan Wang, Yunfa Fu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. User-Centered Design of Neuroprosthetics: Advancements and Limitations.CNS & neurological disorders drug targets · 2025
    Review
  11. Review
  12. Brain-computer Interaction in the Smart Era.Current medical science · 2024
    Review
  13. Review
  14. [An emerging discipline: brain-computer interfaces medicine].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  15. [Ethical considerations for medical applications of implantable brain-computer interfaces].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

6 authors at 3 institutions in 1 country.

Yixin MaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Anmin GongSchool of Information Engineering, Chinese People's Armed Police Force Engineering University, Xian 710086, China.
Wenya NanDepartment of Psychology, College of Education, Shanghai Normal University, Shanghai 200234, China.
Peng DingFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Fan WangFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Yunfa FuFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Kunming University of Science and Technology · CNChinese People's Armed Police Force Engineering University · CNShanghai Normal University · CN

Funding

National Natural Science Foundation of China 82172058, 81771926, 61763022, 81470084, 61463024, 62006246
6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) are a new technology that subverts traditional human-computer interaction, where the control signal source comes directly from the user's brain. When a general BCI is used for practical applications, it is difficult for it to meet the needs of different individuals because of the differences among individual users in physiological and mental states, sensations, perceptions, imageries, cognitive thinking activities, and brain structures and functions. For this reason, it is necessary to customize personalized BCIs for specific users. So far, few studies have elaborated on the key scientific and technical issues involved in personalized BCIs. In this study, we will focus on personalized BCIs, give the definition of personalized BCIs, and detail their design, development, evaluation methods and applications. Finally, the challenges and future directions of personalized BCIs are discussed. It is expected that this study will provide some useful ideas for innovative studies and practical applications of personalized BCIs.

Indexed as

brain–computer interface (BCI)customized brain–computer interface (cBCI)general brain–computer interface (gBCI)personalized brain–computer interface (pBCI)specific BCI user

Identifiers

PMID36675707
PMCPMC9861730
OpenAlexW4313259876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.