Predicting Auditory Skill Outcomes After Pediatric Cochlear Implantation Using Preoperative Brain Imaging.

Purpose: Our study used preoperative neuroanatomical features to predict auditory development in Chinese-learning children with cochlear implants (CIs). Method: T1-weighted whole-brain magnetic resonance imaging (MRI) scans were obtained from 17 Chinese-learning pediatric CI candidates (12 females a...

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Publicado en:American Journal of Audiology Vol. 34; no. 1; pp. 51 - 60
Autores principales: Di Yuan, Wai Tsz Chang, Ng, Iris H.-Y., Tong, Michael C. F., Chu, Winnie C. W., Young, Nancy M., Wong, Patrick C. M.
Formato: equations & formulas research tables/charts Journal Article
Publicado: American Speech-Language-Hearing Association Mar2025
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: American Journal of Audiology
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      dt: Mar2025
      vid: 34
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      pub: American Speech-Language-Hearing Association
      place: Rockville, Maryland
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        10.1044/2024_AJA-24-00139
        183442187
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        atl: Predicting Auditory Skill Outcomes After Pediatric Cochlear Implantation Using Preoperative Brain Imaging.
      aug:
        au:
          Di Yuan
          Wai Tsz Chang
          Ng, Iris H.-Y.
          Tong, Michael C. F.
          Chu, Winnie C. W.
          Young, Nancy M.
          Wong, Patrick C. M.
        affil: Department of Psychology, The Chinese University of Hong Kong, Hong Kong SAR
      sug:
        subj:
          Cochlear Implant Methods
          Preoperative Period
          Brain Radiography
          Treatment Outcomes
          Magnetic Resonance Imaging Methods
          Hearing Loss, Sensorineural Surgery
          Auditory Perception Evaluation
          Human
          Female
          Male
          Infant
          Child, Preschool
          Machine Learning
          Funding Source
          Hong Kong
          Infant: 1-23 months
          Child, Preschool: 2-5 years
          Female
          Male
      ab: Purpose: Our study used preoperative neuroanatomical features to predict auditory development in Chinese-learning children with cochlear implants (CIs). Method: T1-weighted whole-brain magnetic resonance imaging (MRI) scans were obtained from 17 Chinese-learning pediatric CI candidates (12 females and five males, age at MRI = 23.0 ± 15.0 months). Voxel-based morphometry was applied to examine the children's whole-brain structure. Machine learning was employed using neuroanatomical features to predict children's auditory skills up to 24 months after CI. The whole-brain neural model and auditory/visual cortex neural model were compared with a nonneural model using gender, age at CI activation, and preoperative residual hearing as predictors. Model performance was quantified using the mean square error (MSE) between predicted values and observations. Results: The model with preoperative neuroanatomical features showed a significantly smaller MSE than the nonneural model in predicting auditory skills in children with CIs. Specifically, the auditory-related area played an important role in predicting post-CI outcomes. Conclusions: The preoperative neuroanatomical features outperformed the nonneural features in predicting auditory skills in children with CIs. These results indicate that neural structure holds the potential to serve as an objective and effective feature for predicting post-CI outcomes. Supplemental Material: https://doi.org/10.23641/asha.28012046
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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