Cochlear implantation (CI) has revolutionized the management of congenitally deaf children.[1] A growing body of evidence suggests that that performing CI as early as possible in congenitally deaf infants and toddlers results in the best outcome.[2, 3] However, auditory perception and language skills are difficult to assess accurately in infants.[4] Newborn hearing screening programs now in place in 38 states, are expected to identify 30-40 children per day nationally with congenital hearing loss, [6][7] precipitating the need for assessment and management strategies that utilize early windows of opportunity for interventions (such as a CI) by 12-18 months of age. Functional magnetic resonance imaging (fMRI), offers a novel tool for evaluation of central auditory processes in infants.[8-10] fMRI is non-invasive and presents no known biological risks, even for infants.[11] fMRI may permit differentiation of brain responses corresponding to auditory detection, speech perception and language processing in normal and hearing-impaired infants.[12] The ability of fMRI to demonstrate various levels of auditory and language processing in infants and toddlers can provide important data to clinicians that is not available by any other means in prelingual babies. The current proposal is designed to ascertain whether (H2) pre-implant cortical activation patterns revealed by fMRI during infancy will correlate with auditory performance two years after cochlear implantation and whether (H1)fMRI can reveal clinically relevant details about the central auditory system in infancy.
Three specific aims are designed to test these hypotheses. We plan to (S1) optimize a silent background, auditory stimulation fMRI method on a clinical 3T MRI system, (S2) acquire fMRI and hearing test data on normal hearing (n=30) and hearing impaired infants (n=60) and (S3) correlate central auditory activation pattems revealed by fMRI in hearing impaired infants at 1 year of age, with outcome measures 2 years after cochlear implantation. Our hope is that successful completion of the proposed study will provide clinicians with a new tool to guide optimal intervention strategies for hearing-impaired infants.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
5R01DC007186-04
Application #
7337330
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Donahue, Amy
Project Start
2004-12-01
Project End
2009-11-30
Budget Start
2007-12-01
Budget End
2008-11-30
Support Year
4
Fiscal Year
2008
Total Cost
$465,765
Indirect Cost
Name
Cincinnati Children's Hospital Medical Center
Department
Type
DUNS #
071284913
City
Cincinnati
State
OH
Country
United States
Zip Code
45229
Deshpande, Aniruddha K; Tan, Lirong; Lu, Long J et al. (2016) fMRI as a Preimplant Objective Tool to Predict Postimplant Oral Language Outcomes in Children with Cochlear Implants. Ear Hear 37:e263-72
Tan, Lirong; Holland, Scott K; Deshpande, Aniruddha K et al. (2015) A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging. Brain Behav 5:e00391
Wilke, Marko; Rose, Douglas F; Holland, Scott K et al. (2014) Multidimensional morphometric 3D MRI analyses for detecting brain abnormalities in children: impact of control population. Hum Brain Mapp 35:3199-215
DiFrancesco, Mark W; Robertson, Sara A; Karunanayaka, Prasanna et al. (2013) BOLD fMRI in infants under sedation: Comparing the impact of pentobarbital and propofol on auditory and language activation. J Magn Reson Imaging 38:1184-95
Smith, Kristen M; Mecoli, Marc D; Altaye, Mekibib et al. (2011) Morphometric differences in the Heschl's gyrus of hearing impaired and normal hearing infants. Cereb Cortex 21:991-8
Karunanayaka, Prasanna; Schmithorst, Vincent J; Vannest, Jennifer et al. (2010) A group independent component analysis of covert verb generation in children: a functional magnetic resonance imaging study. Neuroimage 51:472-87
Altaye, Mekibib; Holland, Scott K; Wilke, Marko et al. (2008) Infant brain probability templates for MRI segmentation and normalization. Neuroimage 43:721-30
Patel, Ankur M; Cahill, Lisa D; Ret, Jennifer et al. (2007) Functional magnetic resonance imaging of hearing-impaired children under sedation before cochlear implantation. Arch Otolaryngol Head Neck Surg 133:677-83
Wilke, Marko; Holland, Scott K (2003) Variability of gray and white matter during normal development: a voxel-based MRI analysis. Neuroreport 14:1887-90