Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface

Ciaran Cooney, Folli Raffaella, Damien Coyle

Research output: Contribution to journalArticlepeer-review

67 Citations (SciVal)


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
Original languageEnglish
Pages (from-to)103-125
Number of pages23
Early online date22 Sept 2018
Publication statusPublished - 26 Oct 2018


  • Cognitive Neuroscience
  • Computer Science
  • Hardware Interface


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