4.4 Article

Evidence of degraded representation of speech in noise, in the aging midbrain and cortex

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 116, Issue 5, Pages 2346-2355

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00372.2016

Keywords

aging; electrophysiology; midbrain; cortex; hearing

Funding

  1. UMCP ADVANCE Program for Inclusive Excellence [NSF HRD1008117]
  2. National Institute on Deafness and Other Communication Disorders [R01DC008342, R01DC014085, T32DC-00046]
  3. University of Maryland College Park (UMCP) Department of Hearing and Speech Sciences

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Humans have a remarkable ability to track and understand speech in unfavorable conditions, such as in background noise, but speech understanding in noise does deteriorate with age. Results from several studies have shown that in younger adults, low-frequency auditory cortical activity reliably synchronizes to the speech envelope, even when the background noise is considerably louder than the speech signal. However, cortical speech processing may be limited by age-related decreases in the precision of neural synchronization in the midbrain. To understand better the neural mechanisms contributing to impaired speech perception in older adults, we investigated how aging affects midbrain and cortical encoding of speech when presented in quiet and in the presence of a single-competing talker. Our results suggest that central auditory temporal processing deficits in older adults manifest in both the midbrain and in the cortex. Specifically, midbrain frequency following responses to a speech syllable are more degraded in noise in older adults than in younger adults. This suggests a failure of the midbrain auditory mechanisms needed to compensate for the presence of a competing talker. Similarly, in cortical responses, older adults show larger reductions than younger adults in their ability to encode the speech envelope when a competing talker is added. Interestingly, older adults showed an exaggerated cortical representation of speech in both quiet and noise conditions, suggesting a possible imbalance between inhibitory and excitatory processes, or diminished network connectivity that may impair their ability to encode speech efficiently.

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