Approximately 37.5 million Americans have some problem hearing, and one of the chief complaints of those with hearing impairment is difficulty communicating in background noise. In addition, many older individuals have difficulties understanding speech in background noise beyond what would be expected based solely on their audiometric thresholds. There is a fundamental need for improved diagnosis and treatment of speech understanding in noise difficulties. This research program sets out to establish electrophysiological correlates of speech-in-noise understanding with the goal of supplementing speech-in-noise testing. The assumption is that accurate perception in noise is dependent, in part, on the accuracy of neural coding of the auditory stimulus. By combining electrophysiological and behavioral information we can advance our understanding of perception-in-noise difficulties and predict outcomes in difficult-to-test individuals using physiological testing. The clinical significance of the research proposed is related directly to the ability to predict, more accurately diagnose, and more precisely treat perception-in-noise difficulties. An electrophysiological measure that predicts speech perception will allow for improved assessment of difficult-to-test populations and provide information about the capacity of that auditory system to encode certain stimuli. This will allow the clinician to tailor treatment strategies to the specific needs of the individual and to counsel patients more effectively in terms of the expectations they should have and the benefit they should expect as a result of specific treatments. Therefore, to further our understanding of signal-in-noise perception and neural coding, we will use brainstem, cortical, and cognitive auditory evoked potentials and behavioral speech understanding-in-noise measures with age and hearing impairment as continuous variables to characterize the effect sizes of various covariates and to improve our understanding of the relationship between brain and behavioral measures.
The proposed research will establish normative effects of age and hearing impairment on several stages of neural processing using human electrophysiology and determine the correlational and predictive relationship between speech understanding in noise and electrophysiology. The objective is to establish a neural correlate of speech understanding that would advance our understanding of difficulties understanding speech in noise and aid the clinician in improving the diagnosis and treatment of communication difficulties.
| Billings, Curtis J; McMillan, Garnett P; Dille, Marilyn F et al. (2018) Compensatory and Serial Processing Models for Relating Electrophysiology, Speech Understanding, and Cognition. Ear Hear : |
| Billings, Curtis J; Madsen, Brandon M (2018) A perspective on brain-behavior relationships and effects of age and hearing using speech-in-noise stimuli. Hear Res 369:90-102 |
| Billings, Curtis J; Grush, Leslie D; Maamor, Nashrah (2017) Acoustic change complex in background noise: phoneme level and timing effects. Physiol Rep 5: |
