ReviewFrontiers in neuroscience2016
The Berlin Brain-Computer Interface: Progress Beyond Communication and Control.
Review in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis 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
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beyond Technologies of Electroencephalography-Based Brain-Computer Interfaces: A Systematic Review From Commercial and Ethical Aspects.Frontiers in neuroscience · 2020Pooled it
- On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface.Sensors (Basel, Switzerland) · 2018Trial
- Detecting and Improving Human Cognitive State in Real-Time Using Data-Driven Adaptive Systems: A Systematic Review.Bioengineering (Basel, Switzerland) · 2026Review
- Enhancing EEG-Based Brain Pattern Recognition Through Functional-Network-Level Volume Conduction Mitigation: Spatially Informed Decay Modeling-Residual Correction.Brain sciences · 2026Article
- Canonical coherence for the estimation of within- and cross-frequency cortico-kinematic interactions.Scientific reports · 2026Article
- Is there a link between motor learning and mirror neuron system: TMS study.Frontiers in human neuroscience · 2025Article
- EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts.Scientific data · 2024Article
- Cortical signals analysis to recognize intralimb mobility using modified RNN and various EEG quantities.Heliyon · 2024Article
- A Systematic Comparison of High-End and Low-Cost EEG Amplifiers for Concealed, Around-the-Ear EEG Recordings.Sensors (Basel, Switzerland) · 2023Article
- Article
- Attention-based 3D convolutional recurrent neural network model for multimodal emotion recognition.Frontiers in neuroscience · 2023Article
- Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment.Frontiers in neuroergonomics · 2023Article
- 4D attention-based neural network for EEG emotion recognition.Cognitive neurodynamics · 2022Article
- Non-zero mean alpha oscillations revealed with computational model and empirical data.PLoS computational biology · 2022Article
- Toward passive BCI: asynchronous decoding of neural responses to direction- and angle-specific perturbations during a simulated cockpit scenario.Scientific reports · 2022Article
- [Neurovascular coupling analysis of working memory based on electroencephalography and functional near-infrared spectroscopy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.Frontiers in neuroscience · 2022Article
- Aphasia recovery by language training using a brain-computer interface: a proof-of-concept study.Brain communications · 2022Article
- Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning.Frontiers in human neuroscience · 2022Article
- 2020 International brain-computer interface competition: A review.Frontiers in human neuroscience · 2022Review
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our developments in this area and put them into perspective. These examples cover a wide range of maturity levels with respect to their applicability. While we assume we are still a long way away from integrating Brain-Computer Interface (BCI) technology in general interaction with computers, or from implementing neurotechnological measures in safety-critical workplaces, results have already now been obtained involving a BCI as research tool. In this article, we discuss the reasons why, in some of the prospective application domains, considerable effort is still required to make the systems ready to deal with the full complexity of the real world.
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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.