Evidence map›Paper›PMID 33401571›Full record

ReviewBrain sciences2021

Summary of over Fifty Years with Brain-Computer Interfaces-A Review.

Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc, Jaroslaw Zygarlicki, Michaela Sidikova, Radek Martinek, Edward Jacek Gorzelanczyk

Abstract readReview
In one paragraph

Review in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
–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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Neural Vision Restoration in Ophthalmology.Annals of biomedical engineering · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Deep Learning-Based Decoding and Feature Visualization of Motor Imagery Speeds From EEG Signals.IEEE open journal of engineering in medicine and biology · 2026
    Article
  10. Article
  11. [Brain-controlled unmanned aerial vehicle system based on meta brain computer interface open-source software platform].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

8 authors.

Aleksandra Kawala-SterniukFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0001-7826-1292
Natalia BrowarskaFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0002-9532-0183
Amir Al-BakriDepartment of Biomedical Engineering, College of Engineering, University of Babylon, 51001 Babylon, Iraq.ORCID 0000-0002-0286-6890
Mariusz PelcFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0003-2818-1010
Jaroslaw ZygarlickiFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland.ORCID 0000-0001-9330-4369
Michaela SidikovaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0002-9660-9659
Radek MartinekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava-FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-2054-143X
Edward Jacek GorzelanczykDepartment of Theoretical Basis of BioMedical Sciences and Medical Informatics, Nicolaus Copernicus University, Collegium Medicum, 85-067 Bydgoszcz, Poland.ORCID 0000-0001-9334-9700

Funding

Ministry of Education of the Czech Republic Project No. SP2020/156
6 · The paper itself

Abstract

Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention people who were pioneers in this area as well as we highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many. Aiming to fully understand how the human brain works is a very ambitious goal and it will surely take time to succeed. However, even that fraction of what has already been determined is sufficient e.g., to allow impaired people to regain control on their lives and significantly improve its quality. The more is discovered in this domain, the more benefit for all of us this can potentially bring.

Indexed as

Brain-Computer Interfaceselectrocorticographyelectroencephalographyneuro-imagingsignal processing methods

Identifiers

PMID33401571
PMCPMC7824107

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.