ArticlePLoS biology2018
Brain-computer interface use is a skill that user and system acquire together.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Influence of age, cognitive function, attention, and mental state on the effectiveness of EEG-based brain-computer interface device use: a systematic review.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Exploration-based feedback for BCI training: a case study with an adolescent with paraplegia.Journal of neuroengineering and rehabilitation · 2026Article
- Limb state accounts for differences between motor imagery and action in motor cortex.medRxiv : the preprint server for health sciences · 2026Article
- RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features.PloS one · 2026Article
- Postmovement Beta Rebound in Real and Imagined Movement.Motor control · 2025Article
- BCI move: exploring pediatric BCI-controlled power mobility.Frontiers in human neuroscience · 2025Article
- Making Video Games More Inclusive for People Living With Motor Neuron Disease: Scoping Review.JMIR rehabilitation and assistive technologies · 2024Article
- A gap between reasons for skilled use of BCI speech devices and reasons for utterances, with implications for speech ownership.Frontiers in human neuroscience · 2023Article
- Optimising the classification of feature-based attention in frequency-tagged electroencephalography data.Scientific data · 2022Article
- A brief review of motor imagery and bimanual coordination.Frontiers in human neuroscience · 2022Review
- On the feasibility of simple brain-computer interface systems for enabling children with severe physical disabilities to explore independent movement.Frontiers in human neuroscience · 2022Article
- Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation.Scientific reports · 2021Article
- Brain-Machine Interfaces as Commodities: Exchanging Mind for Matter.The Linacre quarterly · 2020Article
- Functional disconnection of associative cortical areas predicts performance during BCI training.NeuroImage · 2020Article
- Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A brain-computer interface (BCI) is a computer-based system that acquires, analyzes, and translates brain signals into output commands in real time. Perdikis and colleagues demonstrate superior performance in a Cybathlon BCI race using a system based on "three pillars": machine learning, user training, and application. These results highlight the fact that BCI use is a learned skill and not simply a matter of "mind reading."
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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.