ReviewBrain informatics2023
Brain-computer interface: trend, challenges, and threats.
Review in Brain informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence Approaches for EEG Signal Acquisition and Processing in Lower-Limb Motor Imagery: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Toward the Clinical Translation of Implantable Brain-Computer Interfaces for Motor Impairment: Research Trends and Outcome Measures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Pooled it
- [Analysis of the constraints of inherent limitations on the capability boundaries of brain-computer interfaces and corresponding strategies].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- Diffusion Inverse Filtering: Enhancing Functional Connectivity-Based Pattern Recognition by Counteracting Spatial Smoothing.Brain sciences · 2026Article
- Adoption of Deep Learning Methods for SSVEP Classification in XR-Based Wearable Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2026Article
- Validation of portable, semi-dry electrode-based electroencephalography device for its application in brain-computer interface solutions.Scientific reports · 2026Article
- Motion Neural Monitoring Based on Flexible Materials: From Signal Acquisition to Training Enhancement.ACS omega · 2026Review
- Conductive Hydrogel-Enabled Electrode for Scalp Electroencephalography Monitoring.Small methods · 2026Review
- A Miniaturized and Modular Wearable Functional Near-Infrared Spectroscopy (fNIRS) Sensing Module for High-Density Cerebral Hemodynamic Monitoring.Biosensors · 2026Article
- Laser Micromachining for Bioelectronics: Past, Present, and Future.Small methods · 2026Review
- Improved motor imagery BCI performance via task-unaware compression in the BELT Bayesian Edge-Cloud architecture.PloS one · 2026Article
- Clinical evaluation of communication brain computer interfaces in amyotrophic lateral sclerosis: a landscape analysis.Frontiers in human neuroscience · 2026Article
- Grand challenges for systems neuroscience: perspectives and opportunities.Frontiers in systems neuroscience · 2026Article
- Prediction-based attention computing: a proof of concept study.Virtual reality · 2026Article
- Ethical imperatives in the commercialization of brain-computer interfaces.IBRO neuroscience reports · 2025Article
- Making the case for sandboxes in implantable neurotechnologies.Nature communications · 2025Article
- Does brain-computer interface-based mind reading threaten mental privacy? ethical reflections from interviews with Chinese experts.BMC medical ethics · 2025Article
- Cell-to-cell communication: from physical calling to remote emotional touching.Discover nano · 2025Article
- ArEEG: an Open-Access Arabic Inner Speech EEG Dataset.Scientific data · 2025Article
- [Technical maturity and bubble risks of brain-computer interface (BCI): Considerations from research to industrial translation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in recent years. Researchers provide experimental results demonstrating that BCI can restore the capabilities of physically challenged people, hence improving the quality of their lives. BCI has revolutionized and positively impacted several industries, including entertainment and gaming, automation and control, education, neuromarketing, and neuroergonomics. Notwithstanding its broad range of applications, the global trend of BCI remains lightly discussed in the literature. Understanding the trend may inform researchers and practitioners on the direction of the field, and on where they should invest their efforts more. Noting this significance, we have analyzed 25,336 metadata of BCI publications from Scopus to determine advancement of the field. The analysis shows an exponential growth of BCI publications in China from 2019 onwards, exceeding those from the United States that started to decline during the same period. Implications and reasons for this trend are discussed. Furthermore, we have extensively discussed challenges and threats limiting exploitation of BCI capabilities. A typical BCI architecture is hypothesized to address two prominent BCI threats, privacy and security, as an attempt to make the technology commercially viable to the society.
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What OpenQuestion holds
Registered trials
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.