ReviewiScience2018
Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface.
Review in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Time-frequency-spatial channel attention network for semantic decoding: an exploratory EEG study.Medical & biological engineering & computing · 2026Article
- 3M-CPSEED, An EEG-based Dataset for Chinese Pinyin Production in Overt, Mouthed, and Imagined Speech.Scientific data · 2025Article
- Frontal-auditory cortical interactions and sensory prediction during vocal production in marmoset monkeys.Current biology : CB · 2025Article
- Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity.Communications biology · 2025Article
- Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Systematic review: progress in EEG-based speech imagery brain-computer interface decoding and encoding research.PeerJ. Computer science · 2025Article
- Improved evaluation of waveform reconstruction in speech decoding based on invasive brain-computer interfaces.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Chisco: An EEG-based BCI dataset for decoding of imagined speech.Scientific data · 2024Article
- Decoding Imagined Speech from EEG Data: A Hybrid Deep Learning Approach to Capturing Spatial and Temporal Features.Life (Basel, Switzerland) · 2024Article
- Using data from cue presentations results in grossly overestimating semantic BCI performance.Scientific reports · 2024Article
- Imagined speech event detection from electrocorticography and its transfer between speech modes and subjects.Communications biology · 2024Article
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.Scientific reports · 2024Article
- Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain-Computer Interface for Decoding Imagined Syllables.Brain sciences · 2024Article
- Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study.Frontiers in psychology · 2024Article
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- [Key technology of brain-computer interaction based on speech imagery].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition.Scientific data · 2022Article
- Imagined speech can be decoded from low- and cross-frequency intracranial EEG features.Nature communications · 2022Article
- Brain Computer Interfaces and Communication Disabilities: Ethical, Legal, and Social Aspects of Decoding Speech From the Brain.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to imagined speech, then processes and decodes these signals to produce a linguistic output in the form of phonemes, words, or sentences. Recent research has shown the potential of neurolinguistics to enhance decoding approaches to imagined speech with the inclusion of semantics and phonology in experimental procedures. As neurolinguistics research findings are beginning to be incorporated within the scope of DS-BCI research, it is our view that a thorough understanding of imagined speech, and its relationship with overt speech, must be considered an integral feature of research in this field. With a focus on imagined speech, we provide a review of the most important neurolinguistics research informing the field of DS-BCI and suggest how this research may be utilized to improve current experimental protocols and decoding techniques. Our review of the literature supports a cross-disciplinary approach to DS-BCI research, in which neurolinguistics concepts and methods are utilized to aid development of a naturalistic mode of communication.
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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.