Neural Prediction to Enhance Language Outcomes in Children With Cochlear Implant
The language outcome of children receiving cochlear implantation to address bilateral sensorineural hearing loss is more variable than that of typical hearing children. The research is focused upon development of neural predictive models based upon brain imaging to forecast language after cochlear implantation on the individual child level. The long-term goal is improving children's language by using predictive models to enable a custom predict to prescribe approach to intervene with more effective behavioral therapy for children at risk to develop poorer language. The investigators previously developed models for short term language outcome of English-learning implanted children. The aims of this study are to 1. Develop models able to predict long term outcome for English- learning and Spanish-learning children; and 2. To evaluate whether English-learning children predicted to achieve lower language based on the investigators' previously constructed models can demonstrate significant gains from Parent Implemented Communication Treatment (PICT). PICT is an intensive parent education program about strategies to improve children's communication.
• Children with sensorineural hearing loss who meet clinical criteria for cochlear implantation in both ears who meet the following age criteria at time cochlear implant evaluation begins:
‣ Age 5 years and under.
⁃ English or Spanish as the dominant language.
• English or Spanish dominant language in the home.
• Children with bilateral sensorineural hearing loss who meet clinical criterial for cochlear implantation
• English dominant spoken language by family
• Age at implantation of 36 months and younger when treatment begins
• Parent or caregiver that is willing to participate who understands spoken English
• Child is exposed to spoken language by at least one parent (total communication or auditory/oral) in the home