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    Título
    Evidence for age-related cochlear synaptopathy in humans unconnected to speech-in-noise intelligibility deficits
    Autor(es)
    Johannesen, Peter TinggaardAutoridad USAL ORCID
    Buzo, Byanka C.
    López Poveda, Enrique A.Autoridad USAL ORCID
    Palabras clave
    Auditory brainstem response
    Synaptopathy
    Auditory deafferentation
    Noise exposure
    Speech-in-noise
    Clasificación UNESCO
    3213.05 Cirugía de Garganta, Nariz y Oídos
    2490 Neurociencias
    Fecha de publicación
    2019-03-15
    Resumen
    abstract Cochlear synaptopathy (or the loss of primary auditory synapses) remains a subclinical condition of uncertain prevalence. Here, we investigate whether it affects humans and whether it contributes to suprathreshold speech-in-noise intelligibility deficits. For 94 human listeners with normal audiometry (aged 12e68 years; 64 women), we measured click-evoked auditory brainstem responses (ABRs), self- reported lifetime noise exposure, and speech reception thresholds for sentences (at 65dB SPL) and words (at 50, 65 and 80 dB SPL) in steady-state and fluctuating maskers. Based on animal research, we assumed that the shallower the rate of growth of ABR wave-I amplitude versus level function, the higher the risk of suffering from synaptopathy. We found that wave-I growth rates decreased with increasing age but not with increasing noise exposure. Speech reception thresholds in noise were not correlated with wave-I growth rates and mean speech reception thresholds were not statistically different for two subgroups of participants (N 1⁄4 14) with matched audiograms (up to 12 kHz) but different wave-I growth rates. Altogether, the data are consistent with the existence of age-related but not noise-related syn- aptopathy. In addition, the data dispute the notion that synaptopathy contributes to suprathreshold speech-in-noise intelligibility deficits.
    URI
    https://hdl.handle.net/10366/154984
    ISSN
    0378-5955
    DOI
    10.1016/j.heares.2019.01.017
    Versión del editor
    https://doi.org/10.1016/j.heares.2019.01.017
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    • INCyL. Unidad de Excelencia iBRAINS-IN-CyL [141]
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