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...
| Publicado en: | American Journal of Audiology Vol. 34; no. 1; pp. 51 - 60 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183442187&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183442187 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10590889 5KS jtl: American Journal of Audiology issn: 10590889 maglogo: N pubinfo: dt: Mar2025 vid: 34 iid: 1 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 183442187 183442187 183442187 10.1044/2024_AJA-24-00139 183442187 ppf: 51 ppct: 9 formats: fmt: @attributes: type: P tig: 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 refInfo: holdings: @attributes: islocal: N |
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