Analysis of Global Clinical Trial Registration Status for Brain-Computer Interface

LU Yan, PAN Lizi, YAN Shu, CHEN Juan, OUYANG Zhaolian

China Medical Devices ›› 2025, Vol. 40 ›› Issue (3) : 16-21.

PDF(1784 KB)
PDF(1784 KB)
China Medical Devices ›› 2025, Vol. 40 ›› Issue (3) : 16-21. DOI: 10.3969/j.issn.1674-1633.20241660
FEATURES

Analysis of Global Clinical Trial Registration Status for Brain-Computer Interface

  • LU Yan, PAN Lizi, YAN Shu, CHEN Juan, OUYANG Zhaolian
Author information +
History +

Abstract

ObjectiveTo analyze the global registration status of brain-computer interface (BCI) clinical trials and provide data to support further clinical research of this technology. Methods Based on the registration data of BCI related clinical trials in ClinicalTrials.gov, bibliometrics approach was applied to analyze the number and annual trend of registration, national distribution and international cooperation, sponsor type and country distribution, study type and recruitment, classification of indications and their characteristics. Results As of October 2024, a total of 194 BCI related clinical trials were registered worldwide, and the number of registrations was generally on the rise. Among all the countries that carried out clinical trials, the United States ranked first with 80 trials, while no other countries surpassed 20, and there were only 3 trials involved international collaboration. Sponsors were predominantly universities and research institutions (48.7%), with the United States having the largest number of sponsors. Of all the clinical trials, 88.1% were intervention studies, 38.1% were completed, 26.3% recruited fewer than 10 patients, and almost all of the trial subjects were recruited without gender restriction and included adults. BCI related clinical trials focused on rehabilitation and treatment of neurological diseases, the main indications included stroke, spinal cord injury, amyotrophic lateral sclerosis, and quadriplegia. Conclusion The global clinical research activity in BCI technology is steadily increasing, demonstrating significant application potential.

Key words

brain-computer interface (BCI); human-computer interaction; wearable devices; machine learning; ClinicalTrials.gov; bibliometric analysis

Cite this article

Download Citations
LU Yan, PAN Lizi, YAN Shu, et al. Analysis of Global Clinical Trial Registration Status for Brain-Computer Interface[J]. China Medical Devices, 2025, 40(3): 16-21 https://doi.org/10.3969/j.issn.1674-1633.20241660

References

[1] Khorev V, Kurkin S, Badarin A, et al. Review on the use of brain computer interface rehabilitation methods for treating mental and neurological conditions[J]. J Integr Neurosci, 2024, 23(7): 125.
[2] Papanastasiou G, Drigas A, Skianis C, et al. Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review[J]. Heliyon, 2020, 6(9): e4250.
[3] Zotev V, Mayeli A, Misaki M, et al. Emotion self-regulation training in major depressive disorder using simultaneous realtime fMRI and EEG neurofeedback[J]. Neuroimage Clin, 2020, 27: 102331.
[4] Zotev V, Bodurka J. Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography[J]. Neuroimage Clin, 2020, 28: 102459.
[5] Chen Y, Wang F, Li T, et al. Considerations and discussions on the clear definition and definite scope of brain-computer interfaces[J]. Front Neurosci, 2024, 18: 1449208.
[6] Chen D, Liu K, Guo J, et al. Editorial: brain-computer interface and its applications[J]. Front Neurorobot, 2023, 17: 1140508.
[7] EPFL. Blue Brain Project[EB/OL]. (2023-10-31)[2024-10-26]. https://www.epfl.ch/research/domains/bluebrain/.
[8] National Institutes of Health. The Brain Research Through Advancing Innovative Neurotechnologies? Initiative[EB/OL]. (2024-09-26)[2024-10-26]. https://www.braininitiative.nih.gov/.
[9] Japan Agency for Medical Research and Development. Brain/ MINDS 2.0[EB/OL]. (2024-07-19)[2024-10-26]. https:// brainminds.jp/en/.
[10] Australian Brain Alliance. Australian Brain Initiative[EB/OL]. (2024-02-09)[2024-10-26]. https://brainalliance.org.au/.
[11] 国务院. 关于加快发展康复辅助器具产业的若干意见[EB/OL]. (2016-10-27)[2024-10-26]. https://www.gov.cn/zhengce/ content/2016-10/27/content_5125001.htm.
[12] 国务院. 关于印发“十四五”国家老龄事业发展和养老服 务体系规划的通知[EB/OL]. (2022-02-21)[2024-10-26]. https:// www.gov.cn/zhengce/content/2022-02/21/content_5674844.htm.
[13] 工业和信息化部, 教育部, 科技部, 等. 工业和信息化部等 七部门关于推动未来产业创新发展的实施意见[EB/OL]. (2024-01-18)[2024-10-26]. https://www.gov.cn/zhengce/ zhengceku/202401/content_6929021.htm.
[14] Chen D, Parsa R, Chauhan K, et al. Review of brachytherapy clinical trials: a cross-sectional analysis of ClinicalTrials.gov[J]. Radiat Oncol, 2024,19(1): 22.
[15] Ashour AM. The preventive effects of ondansetron on chemotherapy-induced nausea and vomiting in adult cancer patients: systematic review from ClinicalTrials.gov[J]. Front Pharmacol, 2023, 14: 1310455.
[16] Venkatesan M, Mohan H, Ryan JR, et al. Virtual and augmented reality for biomedical applications[J]. Cell Rep Med, 2021, 2(7): 100348.
[17] Lamarca K, Gevirtz R, Lincoln AJ, et al. Brain-computer interface training of mu EEG rhythms in intellectually impaired children with autism: a feasibility case series[J]. Appl Psychophysiol Biofeedback, 2023, 48(2): 229-245.
[18] Ramsey NF. Human brain function and brain-computer interfaces[J]. Handb Clin Neurol, 2020, 168: 1-13.
[19] Chen Y, Wang F, Li T, et al. Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces[J]. Front Hum Neurosci, 2024, 18: 1391550.
[20] Gu X, Cao Z, Jolfaei A, et al. EEG-based brain-computer interfaces (BCIs): a survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications[J]. IEEE/ACM Trans Comput Biol Bioinform, 2021, 18(5): 1645-1666.
[21] Moses DA, Metzger SL, Liu JR, et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria[J]. N Engl J Med, 2021, 385(3): 217-227.
[22] Rouzitalab A, Boulay CB, Park J, et al. Intracortical braincomputer interfaces in primates: a review and outlook[J]. Biomed Eng Lett, 2023, 13(3): 375-390.
[23] 周程. 脑机接口领域中的伦理问题研究[J]. 人民论坛·学术 前沿, 2024(16): 44-55.
[24] 孙雪峰, 王一丹, 刘平, 等. 康复领域应用脑机接口技术的研 究进展[J]. 中国医疗设备, 2024, 39(2): 154-158.
Sun XF, Wang YD, Liu P, et al. Research progress on the application of brain-computer interface technology in the field of rehabilitation[J]. China Med Devices, 2024, 39(2): 154-158.
[25] 中国临床试验注册中心. 检索入口[EB/OL]. [2024-10-27]. https://www.chictr.org.cn/searchproj.html?title=&officialname =%E8%84%91%E6%9C%BA%E6%8E%A5%E5%8F%A3&s ubjectid=®status=®no=&secondaryid=&applier=&stud yleader=&createyear=&sponsor=&secsponsor=&sourceofspen ds=&studyailment=&studyailmentcode=&studytype=&studyst age=&studydesign=&recruitmentstatus=&gender=&agreetosig n=&measure=&country=&province=&city=&institution=&ins titutionlevel=&intercode=ðicalcommitteesanction=&wheth erpublic=&minstudyexecutetime=&maxstudyexecutetime=&b tngo=btn.
[26] Khrulev AE, Kuryatnikova KM, Belova Capital AC, et al. Modern rehabilitation technologies of patients with motor disorders at an early rehabilitation of stroke (Review)[J]. Sovrem Tekhnologii Med, 2022,14(6): 64-78.
[27] 王珂, 王雷, 李文杉, 等. 脑机接口技术在脑卒中患者下肢功 能康复中的应用前景[J]. 中国组织工程研究, 2025, 29(14): 3027-3033.
Wang K, Wang L, Li WS, et al. Application prospect of braincomputer interface technology in the rehabilitation of lower limb function in stroke patients[J]. Chin J Tissue Eng Res, 2025, 29(14): 3027-3033.
PDF(1784 KB)

110

Accesses

0

Citation

Detail

Sections
Recommended

/