skip to main content
10.1145/3632971.3632975acmotherconferencesArticle/Chapter ViewAbstractPublication PagesjcraiConference Proceedingsconference-collections
research-article

An fMRI study of the neural mechanisms of second and third tone recognition in deaf children

Published:13 February 2024Publication History

ABSTRACT

Vocal intonation is an important component of language that plays a key role in language comprehension and communication. However, children with hearing loss face challenges in vocal tone recognition due to hearing impairment. In this study, five deaf children and two children with normal hearing were recruited to compare the differences in second and third tone recognition tasks between deaf and normal children. The results revealed that (1) Dysfunction in certain brain regions responsible for processing vocal tones in deaf children is associated with their hearing loss. This reveals the profound impact of hearing loss on the complex neural mechanisms of vocal tone perception. (2) Deaf children may use different neural networks when processing complex information about vocal tones. This adaptation suggests that the human brain has remarkable plasticity in its efforts to compensate for the absence of auditory input. Our study reveals the intricate interplay between hearing, neural processing, and language comprehension. It highlights not only the challenges that hearing-impaired children face in deciphering vocal tones, but also the extraordinary ability of their brains to reconfigure and adapt in an effort to compensate for gaps in auditory perception. Our research contributes to the understanding of the complex world of language processing.

References

  1. Cox DD, Dean T. Neural Networks and Neuroscience-Inspired Computer Vision. current Biology. September 2014.Google ScholarGoogle Scholar
  2. Patel AD, Iversen JR. The linguistic benefits of musical abilities. trends in Cognitive Sciences. 2006.Google ScholarGoogle Scholar
  3. Xiong F, Pan YZ, Bai LJ. Research Applications of Functional Magnetic Resonance Imaging (fMRI) in Neuroscience. Functional and Molecular Imaging of Neurological Diseases and Neurosciences. May 2023.Google ScholarGoogle Scholar
  4. Bihan DL, Karni A. Applications of magnetic resonance imaging to the study of human brain function. current Opinion in Neurobiology. April 1995.Google ScholarGoogle Scholar
  5. Sladky R, Friston KJ, Trostl J, Cunnington R, Moser E, Windischberger C. Slice-timing effects and their correction in functional MRI. NeuroImage. 2011.Google ScholarGoogle Scholar
  6. Karl J, Friston PD, Williams S, Howard R, Frackowiak RSJ, Turner R. Movement-Related effects in fMRI time-series. magnetic Resonance In Medicine. March 1996.Google ScholarGoogle Scholar
  7. Studholme C, Hill DLG, Hawkes DJ. an overlap invariant entropy measure of 3D medical image alignment. pattern recognition. January 1999.Google ScholarGoogle Scholar
  8. Ashburner J, Friston KJ. Unified segmentation. neuroimage. July,2005.Google ScholarGoogle Scholar
  9. Bazay FEZ, Benabdallah FZ, Maliani ADE. preprocessing FMRI Data In SPM12. WINCOM. October 2022.Google ScholarGoogle Scholar
  10. Zalesky A, Fornito A, Harding IH, Cocchi L, Yvcel M, Pantelis C, Bullmore ET. Whole-brain anatomical networks: does the choice of nodes matter? NeuroImage. April 2010.Google ScholarGoogle Scholar
  11. Kwok VPK, Matthews S, Yakpo K, Tan LH. Neural correlates and functional connectivity of lexical tone processing in reading. Brain and Language. 2019.Google ScholarGoogle Scholar
  12. Adolphs R. Neural systems for recognizing emotion. current Opinion in Neurobiology. April 2002Google ScholarGoogle Scholar
  13. Koch K, Pauly K, Kellermann T, Seiferth N, Reske M, Backes V, Stocker T, Shah NJ, Amunts K, Kircher T, Schneider F, Habel U. Gender differences in the cognitive control of emotion: An fMRI study. Neuropsychologia. 2007Google ScholarGoogle Scholar
  14. Lederberg AR, Schick B, Spencer PE. language and literacy development of deft and hard-of-hearing children: successes and challenges. developmental Psychology. 2012.Google ScholarGoogle Scholar
  15. Werker JF, Yeung HH. Infant speech perception bootstraps word learning. Trends in Cognitive Sciences. November 2005.Google ScholarGoogle Scholar
  16. Nicole L, Elke RG, Armin DG, Michael F. Cross-modal plasticity in deaf subjects dependent on the extent of hearing loss. Cognitive Brain Research. December 2005.Google ScholarGoogle Scholar
  17. Kral. Auditory critical periods :A review from system's perspective. neuroscience. September 2013.Google ScholarGoogle Scholar
  18. Calmels MN, Gallois Y, Marx M, Deguine O, Taoui S, Arnaud E, Strelnikov K, Barone. Functional Reorganization of the Central Auditory System in Children with Single-Sided Deftness:A Protocol Using fNIRS. Brain Sciences. 2022.Google ScholarGoogle Scholar
  19. Demopoulos C, Kopald BE, Bangera N, Paulson K, Lewine JD. Rapid auditory processing of puretones is associated with basic components of language in individuals with autism spectrum disorders. Brain and Language. March 2023.Google ScholarGoogle Scholar
  20. Bidelman GM, Mahmud S, Yeasin M, Shen D, Arnott SR, Alain C. Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal-ventral pathway for speech. Brain Structure and Function. 2019.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. An fMRI study of the neural mechanisms of second and third tone recognition in deaf children

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      JCRAI '23: Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence
      July 2023
      216 pages
      ISBN:9798400707704
      DOI:10.1145/3632971

      Copyright © 2023 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 February 2024

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format