envelope following response
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2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gerard Encina-Llamas ◽  
Torsten Dau ◽  
Bastian Epp

AbstractIndividual estimates of cochlear compression may provide complementary information to traditional audiometric hearing thresholds in disentangling different types of peripheral cochlear damage. Here we investigated the use of the slope of envelope following response (EFR) magnitude-level functions obtained from four simultaneously presented amplitude modulated tones with modulation frequencies of 80–100 Hz as a proxy of peripheral level compression. Compression estimates in individual normal hearing (NH) listeners were consistent with previously reported group-averaged compression estimates based on psychoacoustical and distortion-product oto-acoustic emission (DPOAE) measures in human listeners. They were also similar to basilar membrane (BM) compression values measured invasively in non-human mammals. EFR-based compression estimates in hearing-impaired listeners were less compressive than those for the NH listeners, consistent with a reduction of BM compression. Cochlear compression was also estimated using DPOAEs in the same NH listeners. DPOAE estimates were larger (less compressive) than EFRs estimates, showing no correlation. Despite the numerical concordance between EFR-based compression estimates and group-averaged estimates from other methods, simulations using an auditory nerve (AN) model revealed that compression estimates based on EFRs might be highly influenced by contributions from off-characteristic frequency (CF) neural populations. This compromises the possibility to estimate on-CF (i.e., frequency-specific or “local”) peripheral level compression with EFRs.


2021 ◽  
Vol 401 ◽  
pp. 108157
Author(s):  
Federico Lucchetti ◽  
Antoine Nonclercq ◽  
Paul Avan ◽  
Fabrice Giraudet ◽  
Xiaoya Fan ◽  
...  

2021 ◽  
Vol 400 ◽  
pp. 108132
Author(s):  
Viacheslav Vasilkov ◽  
Markus Garrett ◽  
Manfred Mauermann ◽  
Sarah Verhulst

2020 ◽  
Author(s):  
Marthe Tibo ◽  
Simon Geirnaert ◽  
Alexander Bertrand

ABSTRACTWhen listening to music, the brain generates a neural response that follows the amplitude envelope of the musical sound. Previous studies have shown that it is possible to decode this envelope-following response from electroencephalography (EEG) data during music perception. However, a successful decoding and recognition of imagined music, without the physical presentation of a music stimulus, has not been established to date. During music imagination, the human brain internally replays a musical sound, which naturally leads to the hypothesis that a similar envelope-following response might be generated. In this study, we demonstrate that this response is indeed present during music imagination and that it can be decoded from EEG data. Furthermore, we show that the decoded envelope allows for classification of imagined music in a song recognition task, containing tracks with lyrics as well as purely instrumental tasks. A two-song classifier achieves a median accuracy of 95%, while a 12-song classifier achieves a median accuracy of 66.7%. The results of this study demonstrate the feasibility of decoding imagined music, thereby setting the stage for new neuroscientific experiments in this area as well as for new types of brain-computer interfaces based on music imagination.


2020 ◽  
Author(s):  
Naomi Bramhall ◽  
Garnett McMillan ◽  
Sean Kampel

Animal studies have demonstrated that noise exposure can lead to the loss of the synapses between the inner hair cells and their afferent auditory nerve fiber targets without impacting auditory thresholds. Although several non-invasive physiological measures appear to be sensitive to cochlear synaptopathy in animal models, including auditory brainstem response (ABR) wave I amplitude, the envelope following response (EFR), and the middle ear muscle reflex (MEMR), human studies of these measures in samples that are expected to vary in terms of the degree of noise-induced synaptopathy have resulted in mixed findings. One possible explanation for the differing results is that synaptopathy risk is lower for recreational noise exposure than for occupational or military noise exposure. The goal of this analysis was to determine if EFR magnitude and ABR wave I amplitude are reduced among young Veterans with a history of military noise exposure compared with non-Veteran controls with minimal noise exposure. EFRs and ABRs were obtained in a sample of young (19-35 years) Veterans and non-Veterans with normal audiograms and robust distortion product otoacoustic emissions (DPOAEs). Mean EFR magnitudes and ABR wave I amplitudes were reduced for Veterans compared with non-Veteran controls. These findings replicate previous ABR wave I amplitude results in young Veterans and are consistent with animal models of noise-induced cochlear synaptopathy.


2020 ◽  
Vol 392 ◽  
pp. 107979 ◽  
Author(s):  
Sarineh Keshishzadeh ◽  
Markus Garrett ◽  
Viacheslav Vasilkov ◽  
Sarah Verhulst

2019 ◽  
Author(s):  
Sarineh Keshishzadeh ◽  
Markus Garrett ◽  
Viacheslav Vasilkov ◽  
Sarah Verhulst

AbstractThe envelope following response (EFR) has been proposed as a non-invasive marker of synaptopathy in animal models. However, its amplitude is affected by the spread of basilar-membrane excitation and other coexisting sensorineural hearing deficits. This study aims to (i) improve frequency specificity of the EFR by introducing a derived-band EFR (DBEFR) technique and (ii) investigate the effect of lifetime noise exposure, age and outer-hair-cell (OHC) damage on DBEFR magnitudes. Additionally, we adopt a modelling approach to validate the frequency-specificity of the DBEFR and test how different aspects of sensorineural hearing loss affect peripheral generators. The combined analysis of simulations and experimental data proposes that the DBEFRs extracted from the [2-6]-kHz frequency band is a sensitive and frequency-specific measure of synaptopathy in humans. Individual variability in DBEFR magnitudes among listeners with normal audiograms was explained by their self-reported amount of experienced lifetime noise-exposure and corresponded to amplitude variability predicted by synaptopathy. Older listeners consistently had reduced DBEFR magnitudes in comparison to young normal-hearing listeners, in correspondence to how age-induced synaptopathy affects EFRs and compromises temporal envelope encoding. Lastly, OHC damage was also seen to affect the DBEFR magnitude, hence this marker should be combined with a sensitive marker of OHC-damage to offer a differential diagnosis of synaptopathy in listeners with impaired audiograms.


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