ArticleProceedings of the National Academy of Sciences of the United States of America2018
Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Brain Morphological Modifications in Congenital and Acquired Auditory Deprivation: A Systematic Review and Coordinate-Based Meta-Analysis.Frontiers in neuroscience · 2022Pooled it
- Hearing loss impacts gray and white matter across the lifespan: Systematic review, meta-analysis and meta-regression.NeuroImage · 2021Pooled it
- Differential cross-modal functional plasticity in deaf individuals: A meta-analysis of neuroimaging studies.iScience · 2026Article
- Cortical markers of excitation/inhibition balance are associated with sensory responsivity from infancy in longitudinal cohorts enriched for autism and ADHD.Translational psychiatry · 2025Article
- EEG neurosubtyping of infants predicts language trajectories.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
- A systematic review of machine learning approaches in cochlear implant outcomes.NPJ digital medicine · 2025Article
- Asymmetric Inter-Hemisphere Communication Contributes to Speech Acquisition of Toddlers with Cochlear Implants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Sensory Insights in Aging: Exploring the Impact on Improving Dietary Through Sensory Enhancement.Food science & nutrition · 2025Review
- Tone and vowel perception delay: long-term effects of late cochlear implant in children with prelingual deafness.Frontiers in human neuroscience · 2025Article
- The neural characteristics influencing literacy outcome in children with cochlear implants.Brain communications · 2025Article
- Individualized post-operative prediction of cochlear implantation outcomes in children with prelingual deafness using functional near-infrared spectroscopy.Laryngoscope investigative otolaryngology · 2024Article
- Dynamic functional network connectivity in children with profound bilateral congenital sensorineural hearing loss.Pediatric radiology · 2024Article
- Early-stage use of hearing aids preserves auditory cortical structure in children with sensorineural hearing loss.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and functional near-infrared spectroscopy.Brain communications · 2024Article
- Predicting synkinesis caused by Bell's palsy or Ramsay Hunt syndrome using machine learning-based logistic regression.Laryngoscope investigative otolaryngology · 2023Article
- Functional magnetic resonance imaging data for the neural dynamics underlying the acquisition of distinct auditory categories.Data in brief · 2023Article
- Research and application progress in deep learning in otology.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- Dynamic networks differentiate the language ability of children with cochlear implants.Frontiers in neuroscience · 2023Article
- Generalizable predictive modeling of semantic processing ability from functional brain connectivity.Human brain mapping · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although cochlear implantation enables some children to attain age-appropriate speech and language development, communicative delays persist in others, and outcomes are quite variable and difficult to predict, even for children implanted early in life. To understand the neurobiological basis of this variability, we used presurgical neural morphological data obtained from MRI of individual pediatric cochlear implant (CI) candidates implanted younger than 3.5 years to predict variability of their speech-perception improvement after surgery. We first compared neuroanatomical density and spatial pattern similarity of CI candidates to that of age-matched children with normal hearing, which allowed us to detail neuroanatomical networks that were either affected or unaffected by auditory deprivation. This information enables us to build machine-learning models to predict the individual children's speech development following CI. We found that regions of the brain that were unaffected by auditory deprivation, in particular the auditory association and cognitive brain regions, produced the highest accuracy, specificity, and sensitivity in patient classification and the most precise prediction results. These findings suggest that brain areas unaffected by auditory deprivation are critical to developing closer to typical speech outcomes. Moreover, the findings suggest that determination of the type of neural reorganization caused by auditory deprivation before implantation is valuable for predicting post-CI language outcomes for young children.
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