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Arnold School of Public Health

Research

The Translational Auditory Neuroscience Lab is dedicated to researching and developing strategies that aim to enhance spoken communication and improve the quality of life for individuals with hearing loss. Hearing loss can have a detrimental impact on speech and language development, academic performance, spoken communication, and social interactions. While cochlear implants and hearing aids have made significant advancements in improving hearing ability and overall quality of life, challenges persist. These challenges include variability in speech and language outcomes as well as difficulties in complex noisy environments and appreciating music. Our lab aims to address these challenges through ongoing research and innovation, with the goal of improving outcomes for individuals with hearing loss and helping them to lead fulfilling lives. We use a wide array of methods including longitudinal data analysis, behavioral, psychophysical, neuroimaging, and signal processing methods to study the contributions of different factors such as audiological factors, the electrode-neuron interface (ENI), and the quality of auditory input on speech and language outcomes in pediatric and adult cochlear implant recipients. 

fnirs                        cochlear image                          ab image

 

Improving Speech Perception in Cochlear Implant Listeners through Enhanced Electrode-Neuron Interface

Cochlear Chart

Cochlear implants (CIs) are the most successful neural prosthesis, and they help people with severe to profound hearing loss access sounds by bypassing the damaged hair cells in the inner ear and directly stimulating the auditory nerve fibers using an array of electrodes. The electrical stimulation spreads from each electrode to the surrounding spiral ganglion nerves (Sites A and B). The quality of these current spreads is impacted by the quality of interface between CI electrodes and neurons. Limited spread (Site A) allows for distinct sensations of frequency and speech information, while wider spread increases the chance of channel interaction (Site B) and complicates differentiation of sound frequencies allocated to these channels. We combine psychophysical, signal processing, and neuroimaging methods as diagnostic precursors to assess the CI channel functionality and develop efficient and selective stimulation strategies tailored to individual CI listeners. The goal is to maximize the benefits of cochlear implants and enhance the user's ability to hear and communicate.

Neurocognitive Mechanisms Linking Hearing Loss to Cognitive Decline and Dementia in Older Adults

Hearing Chart

This project examines how age-related hearing loss (ARHL) is associated with cognitive decline and dementia, and how psychosocial factors, neurocognitive mechanisms, and assistive devices (hearing aids and cochlear implants) may exacerbate or mitigate these effects. In collaboration with the USC Aging Brain Cohort (ABC) Study and the Aging Gracefully Lab, we employ a complementary set of behavioral and neuroimaging assessments—including MRI, DTI, and fNIRS—to test models in which ARHL contributes to structural and functional brain changes, social withdrawal, anxiety and depression, reduced cognitive engagement, and accelerated decline.  We will test whether psychosocial resilience and hearing interventions reduce the adverse consequences of ARHL on cognitive decline. The knowledge gained will inform the development of interventions to preserve hearing, strengthen social engagement, and sustain cognitive health in older adults, ultimately improving quality of life and lowering dementia risk.

 

Language Development in Children with Cochlear Implants: The Role of Early Linguistic Environments

The role of properties of early language input on language outcomes of children with CIs is not fully understood. We use the Language ENvironment Analysis (LENA) device, a small, child-safe audio recorder that children wear for a day at a time, to record and analyze adults’ language input and child vocalization. We use these recordings to analyze acoustic-phonetic, lexical, morphosyntactic, and pragmatic information, as well as the effects of caregivers’ speaking styles and the noise and reverberation in the environment. Our goal is to provide new knowledge for evidence-based early intervention strategies to clinicians and parents for maximizing the likelihood of effective oral communication skills in children with CIs.
                   language input chart

 

Consequences of Cochlear Implants for Voice and Speech Production

cochlear graph

While the primary aim of cochlear implantation is to enhance the overall communication abilities of the recipients, the current evaluation of CI outcomes has predominantly concentrated on the auditory perceptual abilities. However, successful spoken communication necessitates not only efficient auditory perception but also precise speech production. The perception of talkers’ voice and vocal control in CI listeners remain poorly understood. We combine behavioral, electrophysiological (EEG), and functional neuroimaging (fNIRS) techniques for studying the ability of CI listeners in vocalization and perception of voice. The findings will provide important information on whether and to what extent CI impacts and restores the sensorimotor pathways in CI patients and how to improve diagnosis and targeted treatment for enhanced vocal control in CI patients.

 

Collaborations 

Coordinator, Beth McCall, AuD, CCC-A
Department of Communication Sciences and Disorders
University of South Carolina

Director, Dr. Jean Neils-Strunjas
Department of Communication Sciences and Disorders
University of South Carolina

Director, Dr. Julius Fridriksson
Department of Communication Sciences and Disorders
University of South Carolina

Director, Dr. Rutvik Desai
Department of Psychology
University of South Carolina

Director, Dr. Julie Arenberg
Massachusetts Ear and Eye Infirmary
Department of Otolaryngology, Harvard Medical School

Director, Dr. Laura Dilley
Department of Communicative Sciences and Disorders
Michigan State University

Department of Speech, Language and Hearing Sciences
University of Connecticut

 

 

 


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