A Neural Marker of Speech Intention: Evidence From Contingent Negative Variation.

Purpose: This study investigated whether changes in brain activity preceding spoken words can be used as a neural marker of speech intention. Specifically, changes in the contingent negative variation (CNV) were examined prior to speech production in three different study designs to determine a meth...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 64; pp. 2392 - 2400
Autores principales: Kidwai, Juhi, Brumberg, Jonathan S., Marsh, Brianna M.
Formato: Artículo
Publicado: American Speech-Language-Hearing Association 2021 Supplement
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2021 Supplement
      vid: 64
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      pub: American Speech-Language-Hearing Association
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        151199881
        10.1044/2020_JSLHR-20-00277
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        atl: A Neural Marker of Speech Intention: Evidence From Contingent Negative Variation.
      aug:
        au:
          Kidwai, Juhi
          Brumberg, Jonathan S.
          Marsh, Brianna M.
        affil:
          Department of Speech-Language-Hearing: Sciences & Disorders, The University of Kansas, Lawrence
          Department of Speech-Language-Hearing: Sciences & Disorders, Neuroscience Graduate Program, The University of Kansas, Lawrence
          Department of Neurosciences, University of California San Diego
      su:
        Speech
        Linguistics
        Language & languages
        Brain physiology
        Intention
        Slow potentials (Electrophysiology)
        Electroencephalography
        Neurophysiology
        Brain
        Evoked potentials (Electrophysiology)
        Statistics
        Neural pathways
        Regression analysis
        Medical protocols
        Descriptive statistics
        Data analysis
      sug:
        subj:
          Speech
          Linguistics
          Language & languages
          Brain physiology
          Intention
          Slow potentials (Electrophysiology)
          Electroencephalography
          Neurophysiology
          Brain
          Evoked potentials (Electrophysiology)
          Statistics
          Neural pathways
          Regression analysis
          Medical protocols
          Descriptive statistics
          Data analysis
      ab: Purpose: This study investigated whether changes in brain activity preceding spoken words can be used as a neural marker of speech intention. Specifically, changes in the contingent negative variation (CNV) were examined prior to speech production in three different study designs to determine a method that maximizes signal detection in a speaking task. Method: Electroencephalography data were collected in three different protocols to elicit the CNV in a spoken word task that varied the timing and type of linguistic information. The first protocol provided participants with the word to be spoken before the instruction of whether or not to speak, the second provided both the word and the instruction to speak, and the third provided the instruction to speak before the word. Participants (N = 18) were split into three groups (one for each protocol) and were instructed to either speak (Go) or refrain from speaking (NoGo) each word according to task instructions. The CNV was measured by analyzing the difference in slope between Go and NoGo trials. Results: Statistically significant effects of hemispheric laterality on the CNV slope confirm the third protocol where the participants know they will speak in advance of the word, as the paradigm that reliably elicits a CNV response related to speech intention. Conclusions: The maximal CNV response when the instruction is known before the word indicates the neural processing measured in this protocol may reflect a generalized speech intention process in which the speech-language systems become prepared to speak and then execute production once the word information is provided. Further analysis of the optimal protocol identified in this study requires additional experimental investigation to confirm its role in eliciting an objective marker of speech intention.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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