The neural mechanisms tone recognition in deaf children: an fMRI study

Qiang Li; Yuan Meng

doi:10.1117/12.3014156

8 December 2023 The neural mechanisms tone recognition in deaf children: an fMRI study

Qiang Li, Yuan Meng

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 1294309 (2023) https://doi.org/10.1117/12.3014156
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

Vocal tone is an important component of language and it 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 third and fourth tone recognition tasks between deaf and normal children. The results revealed that (1) some of the deaf children's brain regions that process vocal tones did not work properly due to hearing loss; (2) deaf children may rely on different neural networks when processing vocal tone information. (3) Deaf children process vocal tone information with hemispheric characteristics.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qiang Li and Yuan Meng "The neural mechanisms tone recognition in deaf children: an fMRI study", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 1294309 (8 December 2023); https://doi.org/10.1117/12.3014156

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