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2020
DOI: 10.1007/s10162-020-00750-7
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Noise-Induced Changes of the Auditory Brainstem Response to Speech—a Measure of Neural Desynchronisation?

Abstract: It is commonly assumed that difficulty in listening to speech in noise is at least partly due to deficits in neural temporal processing. Given that noise reduces the temporal fidelity of the auditory brainstem response (ABR) to speech, it has been suggested that the speech ABR may serve as an index of such neural deficits. However, the temporal fidelity of ABRs, to both speech and non-speech sounds, is also known to be influenced by the cochlear origin of the response, as responses from higher-frequency cochle… Show more

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Cited by 2 publications
(3 citation statements)
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“…Results from the present study are not directly comparable with the majority of previous EFR studies evaluating the effects of noise and reverberation due to the use of broadband vowel stimuli. In the two known studies that used a frequency‐specific approach, EFRs at f 0 generated by F1, but not higher formants, were found to be robust or unaffected by noise (Boer et al, 2020; Laroche et al, 2013). Evidence from guinea pigs suggest that the robustness of f 0 encoding in the F1 region is supported by phase‐locking to individual resolved harmonics (i.e., fine structure).…”
Section: Discussionmentioning
confidence: 99%
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“…Results from the present study are not directly comparable with the majority of previous EFR studies evaluating the effects of noise and reverberation due to the use of broadband vowel stimuli. In the two known studies that used a frequency‐specific approach, EFRs at f 0 generated by F1, but not higher formants, were found to be robust or unaffected by noise (Boer et al, 2020; Laroche et al, 2013). Evidence from guinea pigs suggest that the robustness of f 0 encoding in the F1 region is supported by phase‐locking to individual resolved harmonics (i.e., fine structure).…”
Section: Discussionmentioning
confidence: 99%
“…Given the good correspondence between our experimental data and simulations with identical stimuli at least for F1 EFRs (Figure 6), we speculate that the discrepancies between our experimental data and previous studies arise from multiple methodological differences, at least in part. Influential methodological factors may include varied excitation patterns for filtered formants presented independently (Laroche et al, 2013), noise type (white noise in Laroche et al, 2013, vs. equal‐excitation noise per auditory filter in Boer et al, 2020, vs. speech shaped noise in the present study) and SNR (−5 dB in Laroche et al, 2013, vs. 20 and 10 dB in Boer et al, 2020 vs. 5 dB in the present study).…”
Section: Discussionmentioning
confidence: 99%
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