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1
Investigating the effects of noise exposure on self-report, behavioral and electrophysiological indices of hearing damage in musicians with normal audiometric thresholds
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2
Sub-Clinical Auditory Neural Deficits in Patients with Type 1 Diabetes Mellitus
Abstract: Objectives: Diabetes mellitus (DM) is associated with a variety of sensory complications. Very little attention has been given to auditory neuropathic complications in DM. The aim of this study was to determine whether type 1 DM (T1DM) affects neural coding of the rapid temporal fluctuations of sounds, and how any deficits may impact on behavioral performance. Design: Participants were 30 young normal-hearing T1DM patients, and 30 age-, sex-, and audiogram-matched healthy controls. Measurements included electrophysiological measures of auditory nerve and brainstem function using the click-evoked auditory brainstem response, and of brainstem neural temporal coding using the sustained frequency-following response (FFR); behavioral tests of temporal coding (interaural phase difference discrimination and the frequency difference limen); tests of speech perception in noise; and self-report measures of auditory disability using the Speech, Spatial and Qualities of Hearing Scale. Results: There were no significant differences between T1DM patients and controls in the auditory brainstem response. However, the T1DM group showed significantly reduced FFRs to both temporal envelope and temporal fine structure. The T1DM group also showed significantly higher interaural phase difference and frequency difference limen thresholds, worse speech-in-noise performance, as well as lower overall Speech, Spatial and Qualities scores than the control group. Conclusions: These findings suggest that T1DM is associated with degraded neural temporal coding in the brainstem in the absence of an elevation in audiometric threshold, and that the FFR may provide an early indicator of neural damage in T1DM, before any abnormalities can be identified using standard clinical tests. However, the relation between the neural deficits and the behavioral deficits is uncertain.
URL: https://doi.org/10.1097/AUD.0000000000000781
https://eprints.lancs.ac.uk/id/eprint/135006/1/Aljasser_etal_accepted_manuscript.pdf
https://eprints.lancs.ac.uk/id/eprint/135006/
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3
Effects of Age and Noise Exposure on Proxy Measures of Cochlear Synaptopathy
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4
Subclinical Auditory Neural Deficits in Patients With Type 1 Diabetes Mellitus
In: Ear Hear (2019)
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5
Impaired speech perception in noise with a normal audiogram:No evidence for cochlear synaptopathy and no relation to lifetime noise exposure
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6
Impaired speech perception in noise with a normal audiogram: No evidence for cochlear synaptopathy and no relation to lifetime noise exposure
Guest, Hannah; Munro, Kevin J.; Prendergast, Garreth. - : Elsevier/North-Holland Biomedical Press, 2018
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7
Magnified neural envelope coding predicts deficits in speech perception in noise
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8
Amplitude Modulation detection ability can be differentially affected using state-dependent Transcranial Magnetic Stimulation ...
Partridge, Adam; Prendergast, Garreth; Hymers, Mark. - : Open Science Framework, 2017
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9
Magnified Neural Envelope Coding Predicts Deficits in Speech Perception in Noise
Millman, Rebecca E.; Mattys, Sven L.; Gouws, André D.. - : Society for Neuroscience, 2017
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10
Neural mechanisms underlying song and speech perception can be differentiated using an illusory percept
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11
Cross-channel amplitude sweeps are crucial to speech intelligibility
In: Brain & language. - Orlando, Fla. [u.a.] : Elsevier 120 (2012) 3, 406-411
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OLC Linguistik
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12
Extracting amplitude modulations from speech in the time domain
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 6, 903-913
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OLC Linguistik
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13
Extracting Amplitude Modulations from Speech in the Time Domain
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00746108 ; Speech Communication, Elsevier : North-Holland, 2011, 53 (6), pp.903. ⟨10.1016/j.specom.2011.03.002⟩ (2011)
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