ArticleFrontiers in human neuroscience2022
Brain Computer Interfaces and Communication Disabilities: Ethical, Legal, and Social Aspects of Decoding Speech From the Brain.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Electroencephalography-Based Brain-Computer Interface System Using Tongue Movement Imagery for Wheelchair Control.Sensors (Basel, Switzerland) · 2026Article
- Review
- Individualized brain-computer interface for people with disabilities: a review.Frontiers in human neuroscience · 2026Review
- Ethics of brain-computer interface in mental healthcare.Frontiers in human neuroscience · 2026Article
- Implications of shared motor and perceptual activations on the sensorimotor cortex for neuroprosthetic decoding.Journal of neural engineering · 2025Article
- Imagined speech classification exploiting EEG power spectrum features.Medical & biological engineering & computing · 2024Article
- Factors influencing the social acceptance of brain-computer interface technology among Chinese general public: an exploratory study.Frontiers in human neuroscience · 2024Article
- Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review.Sensors (Basel, Switzerland) · 2023Review
- Editorial: Women in brain-computer interfaces.Frontiers in human neuroscience · 2023Article
- Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A brain-computer interface technology that can decode the neural signals associated with attempted but unarticulated speech could offer a future efficient means of communication for people with severe motor impairments. Recent demonstrations have validated this approach. Here we assume that it will be possible in future to decode imagined (i.e., attempted but unarticulated) speech in people with severe motor impairments, and we consider the characteristics that could maximize the social utility of a BCI for communication. As a social interaction, communication involves the needs and goals of both speaker and listener, particularly in contexts that have significant potential consequences. We explore three high-consequence legal situations in which neurally-decoded speech could have implications:
Indexed as
Identifiers
What Socratic 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 Socratic graph.