Revealing differential importance of word categories in spoken sentence comprehension using phoneme-related representation.

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    • Source:
      Publisher: IMR Press Country of Publication: Singapore NLM ID: 101156357 Publication Model: Print Cited Medium: Internet ISSN: 0219-6352 (Print) Linking ISSN: 02196352 NLM ISO Abbreviation: J Integr Neurosci Subsets: MEDLINE
    • Publication Information:
      Publication: 2021-: Singapore : IMR Press
      Original Publication: London : Imperial College Press, c2002-
    • Subject Terms:
    • Abstract:
      Background : Verbal communication comprises the retrieval of semantic and syntactic information elicited by various kinds of words (i.e., parts of speech) in a sentence. Content words, such as nouns and verbs, convey essential information about the overall meaning (semantics) of a sentence, whereas function words, such as prepositions and pronouns, carry less meaning and support the syntax of the sentence. Methods : This study aimed to identify neural correlates of the differential information retrieval processes for several parts of speech (i.e., content and function words, nouns and verbs, and objects and subjects) via electroencephalography performed during English spoken-sentence comprehension in thirteen participants with normal hearing. Recently, phoneme-related information has become a potential acoustic feature to investigate human speech processing. Therefore, in this study, we examined the importance of various parts of speech over sentence processing using information about the onset time of phonemes. Results : The distinction in the strength of cortical responses in language-related brain regions provides the neurological evidence that content words, nouns, and objects are dominant compared to function words, verbs, and subjects in spoken sentences, respectively. Conclusions : The findings of this study may provide insights into the different contributions of certain types of words over others to the overall process of sentence understanding.
      Competing Interests: The authors declare no conflict of interest.
      (© 2022 The Author(s). Published by IMR Press.)
    • Contributed Indexing:
      Keywords: Content words; Function words; Phoneme-related EEG; Sentence comprehension
    • Publication Date:
      Date Created: 20220215 Date Completed: 20220322 Latest Revision: 20220322
    • Publication Date:
      20221213
    • Accession Number:
      10.31083/j.jin2101029
    • Accession Number:
      35164465