Neural Prediction to Enhance Language

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.

NCT Number	NCT05962359
Lead Sponsor	Ann & Robert H Lurie Children's Hospital of Chicago Collaborators: Chinese University of Hong Kong, Northwestern University, University of North Carolina, Chapel Hill, University of Southern California, University of Miami, The University of Texas at Dallas
Conditions	Bilateral Sensorineural Hearing Loss, Speech and Language Development Delay Due to Hearing Loss, Social Communication
Enrollment	700 participants
Start Date	2023-01-23
Primary Completion	2027-07-23 (estimated)
Study Completion	2028-01-23 (estimated)
Updated on ClinicalTrials.gov	2026-07-02