Peripheral deficits and phase-locking declines in aging adults

Anderson, Samira; Bieber, Rebecca E.; Schloss, Alanna

doi:10.1016/j.heares.2021.108188

Cited by 20 publications

(17 citation statements)

References 71 publications

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“…Our results are consistent with animal models of central gain and suggest that individual differences in AN afferent input may contribute to changes in cortical encoding. Consistent with our prior work and others (Burkard and Sims, 2001;McClaskey et al, 2018;Anderson et al, 2021;Harris et al, 2021b), we demonstrated a robust decrease in AN response amplitudes for suprathreshold stimulus levels that occurs independently of differences in PTA, suggesting decreased afferent innervation in older adults. Prior studies have examined central gain in the periphery by comparing wave I of the auditory brainstem response to wave V, generated in the midbrain and reported decreased wave I amplitudes relative to wave V amplitudes in older adults (Grose et al, 2019).…”

Section: Central Gain: Decreased Afferent Innervation and Inhibition ...supporting

confidence: 92%

“…AN and cortical response waveforms are shown in Figure 3. Consistent with our prior reports and others (Burkard and Sims, 2001;Konrad-Martin et al, 2012;Anderson et al, 2021;Harris et al, 2021a), age group was a significant predictor of N1 AN response amplitude, with older adults exhibiting significantly smaller N1 AN responses than younger adults. In contrast, P1-N1 cortical responses elicited by the same stimulus resulted in response amplitudes that were not significantly different for older and younger adults (Table 1).…”

Section: Click-evoked An and Cortical Erp Responses In Younger And Ol...supporting

confidence: 92%

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Cortical compensation for afferent loss in older adults: Associations with GABA and speech recognition in noise

Harris

Balken²,

Dias³

et al. 2022

Preprint

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Age-related deficits in auditory nerve (AN) function reduce afferent input to the auditory cortex. The extent to which the auditory cortex in older adults compensates for this loss of afferent input, also known as central gain, and the mechanisms underlying this compensation are not well understood. We took a neural systems approach to estimate central gain, measuring AN and cortical evoked responses within 50 older and 27 younger adults. Amplitudes were significantly smaller for older than for younger adults for AN responses but not for cortical responses. We used the relationship between AN and cortical response amplitudes in younger adults to predict cortical response amplitudes for older adults from their AN responses. Central gain in older adults was thus defined as the difference between their observed cortical responses and those predicted from the parameter estimates of younger adults. More central gain was associated with decreased cortical levels of GABA measured with 1H-MRS and poorer speech recognition in noise (SIN). Effects of central gain and GABA on SIN occur in addition to, and independent from, effects attributed to elevated hearing thresholds. Our results are consistent with animal models of central gain and suggest that reduced AN afferent input in some older adults may result in changes in cortical encoding and inhibitory neurotransmission, which contribute to reduced SIN. An advancement in our understanding of the changes that occur throughout the auditory system in response to the gradual loss of input with increasing age may provide potential therapeutic targets for intervention.

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Section: Central Gain: Decreased Afferent Innervation and Inhibition ...supporting

confidence: 92%

Section: Click-evoked An and Cortical Erp Responses In Younger And Ol...supporting

confidence: 92%

Cortical compensation for afferent loss in older adults: Associations with GABA and speech recognition in noise

Harris

Balken²,

Dias³

et al. 2022

Preprint

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“…Studies suggest that F0 coding relies primarily on efficient processing of the temporal envelope and/or of the temporal fine-structure cues of the signal, whereas formant coding primarily involves place coding of spectral energy peaks (e.g., Fant, 1960;Lieberman and Blumstein, 1988;Carlyon and Shackleton, 1994;Fu et al, 2004;Chatterjee and Peng, 2008;Oxenham, 2008;Xu and Pfingst, 2008). Previous studies have shown the effect of age on F0 discrimination (e.g., Moore and Peters, 1992;Vongpaisal and Pichora-Fuller, 2007;Souza et al, 2011;Anderson et al, 2021). It has been shown, for example, that older adults require twice the difference between F0s to reach similar accuracy in concurrent vowel identification with harmonic complexes and synthetic vowels, compared to their younger peers (Moore and Peters, 1992;Vongpaisal and Pichora-Fuller, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Young adults have been shown to efficiently implement this strategy to segregate the relevant and irrelevant speakers (e.g., Bronkhorst, 2015 ), relying on efficient spectral (formants) and temporal (F0) processing of the speech signal (e.g., Fant, 1960 ; Lieberman and Blumstein, 1988 ; Carlyon and Shackleton, 1994 ; Fu et al, 2004 ; Oxenham, 2008 ; Xu and Pfingst, 2008 ). Given that spectro-temporal processes are known to degrade with age (e.g., Vongpaisal and Pichora-Fuller, 2007 ; Souza et al, 2011 ; Schvartz-Leyzac and Chatterjee, 2015 ; Chintanpalli et al, 2016 ; Goupell et al, 2017 ; Anderson et al, 2021 ) it may be difficult for older adults to take advantage of differences in F0 and/or formant information for talker segregation. Age-related cognitive decline in executive functions, including attention, inhibition, and working memory (e.g., Mitchell et al, 2000 ; Salthouse, 2000 ; Harada et al, 2013 ), may add to the difficulty in utilizing these acoustic cues for voice discrimination.…”

Section: Introductionmentioning

confidence: 99%

“…It has been shown, for example, that older adults require twice the difference between F0s to reach similar accuracy in concurrent vowel identification with harmonic complexes and synthetic vowels, compared to their younger peers ( Moore and Peters, 1992 ; Vongpaisal and Pichora-Fuller, 2007 ). Electrophysiological studies have demonstrated pronounced reductions in phase locking in older adults, suggesting reduced neural synchrony among this population (e.g., Anderson et al, 2021 ). These findings were interpreted to reflect impaired periodicity coding in older listeners ( Schvartz-Leyzac and Chatterjee, 2015 ), which, in turn, may negatively influence the utilization of F0 cues for talker discrimination in this population.…”

Section: Introductionmentioning

confidence: 99%

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Difficulties Experienced by Older Listeners in Utilizing Voice Cues for Speaker Discrimination

Zaltz

Kishon‐Rabin

2022

Front. Psychol.

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Human listeners are assumed to apply different strategies to improve speech recognition in background noise. Young listeners with normal hearing (NH), e.g., have been shown to follow the voice of a particular speaker based on the fundamental (F0) and formant frequencies, which are both influenced by the gender, age, and size of the speaker. However, the auditory and cognitive processes that underlie the extraction and discrimination of these voice cues across speakers may be subject to age-related decline. The present study aimed to examine the utilization of F0 and formant cues for voice discrimination (VD) in older adults with hearing expected for their age. Difference limens (DLs) for VD were estimated in 15 healthy older adults (65–78 years old) and 35 young adults (18–35 years old) using only F0 cues, only formant frequency cues, and a combination of F0 + formant frequencies. A three-alternative forced-choice paradigm with an adaptive-tracking threshold-seeking procedure was used. Wechsler backward digit span test was used as a measure of auditory working memory. Trail Making Test (TMT) was used to provide cognitive information reflecting a combined effect of processing speed, mental flexibility, and executive control abilities. The results showed that (a) the mean VD thresholds of the older adults were poorer than those of the young adults for all voice cues, although larger variability was observed among the older listeners; (b) both age groups found the formant cues more beneficial for VD, compared to the F0 cues, and the combined (F0 + formant) cues resulted in better thresholds, compared to each cue separately; (c) significant associations were found for the older adults in the combined F0 + formant condition between VD and TMT scores, and between VD and hearing sensitivity, supporting the notion that a decline with age in both top-down and bottom-up mechanisms may hamper the ability of older adults to discriminate between voices. The present findings suggest that older listeners may have difficulty following the voice of a specific speaker and thus implementing doing so as a strategy for listening amid noise. This may contribute to understanding their reported difficulty listening in adverse conditions.

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Aging Effects on Cortical Responses to Tones and Speech in Adult Cochlear-Implant Users

Xie

Stakhovskaya

Goupell

et al. 2021

JARO

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Peripheral deficits and phase-locking declines in aging adults

Cited by 20 publications

References 71 publications

Cortical compensation for afferent loss in older adults: Associations with GABA and speech recognition in noise

Cortical compensation for afferent loss in older adults: Associations with GABA and speech recognition in noise

Difficulties Experienced by Older Listeners in Utilizing Voice Cues for Speaker Discrimination

Aging Effects on Cortical Responses to Tones and Speech in Adult Cochlear-Implant Users

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