2019
DOI: 10.1016/j.brainres.2019.04.004
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Electrophysiological changes in auditory evoked potentials in rats with salicylate-induced tinnitus

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Cited by 7 publications
(30 citation statements)
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“…In agreement with that, salicylate administration and acoustic trauma were found to reduce the ABR amplitude in experimental rats [27]. Nevertheless, the reduced amplitude could also reflect both signal reduction and desynchronization [28]. Therefore, the remaining necessary effort is to determine the ABR features that would indicate the presence of tinnitus independent of hearing loss.…”
Section: Introductionsupporting
confidence: 80%
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“…In agreement with that, salicylate administration and acoustic trauma were found to reduce the ABR amplitude in experimental rats [27]. Nevertheless, the reduced amplitude could also reflect both signal reduction and desynchronization [28]. Therefore, the remaining necessary effort is to determine the ABR features that would indicate the presence of tinnitus independent of hearing loss.…”
Section: Introductionsupporting
confidence: 80%
“…For the induction of tinnitus, three methods were used (Figure 3). In 14 articles, tinnitus was induced with salicylate [13,[27][28][29][49][50][51][52][53][58][59][60]66]. Nineteen reports analyzed tinnitus after noise exposure [15,44,45,[54][55][56][57][61][62][63][64][65][67][68][69][70][71] and three analyzed tinnitus after blast injury [46][47][48].…”
Section: Methods Used For Tinnitus Inductionmentioning
confidence: 99%
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“…AEPs are electric potentials generated by the synchronous firing of neighbouring neural populations in the brain, which are time-locked responses to the specific acoustic stimulation 53 . Small-voltage signal deflections are considered to reflect physiological changes in the auditory pathway and the electrical potentials have been reported to have great sensitivity in revealing the functional integrity of the brain 54 . AEPs are widely used in clinical practice given their high temporal resolution and their ability to determine neural generators of the electrical responses.…”
Section: Discussionmentioning
confidence: 99%
“…When bias due to the skill and the experience of the interpretators is involved, the variation is not trivial, especially for cases with untypical waveform or high background noise (Vidler and Parkert, 2004). As precise and objective measurement of small hearing threshold elevation became critical for diagnosis of progressive hearing loss (Barreira-Nielsen et al, 2016), hidden hearing loss (Kujawa and Liberman, 2009; Mehraei et al, 2016; Ridley et al, 2018; Sergeyenko et al, 2013), age-related hearing loss (Gates and Mills, 2005; Sergeyenko et al, 2013) and tinnitus (Bramhall et al, 2018; Castaneda et al, 2019), automated approaches with high precision and reliability are in demand to objectify the ABR threshold determination. Over decades, many attempts were made including: (1) quantification of the waveform similarity by comparison to existing templates (Davey et al, 2007; Elberling, 1979; Valderrama et al, 2014) as well as based on features learned by artificial neural network (Alpsan and Ozdamar, 1991; McKearney and MacKinnon, 2019) from human annotated datasets; (2) quantification of the waveform stability by cross-correlation function between single-sweeps (Bershad and Rockmore, 1974; Weber and Fletcher, 1980), interleaved responses (Berninger et al, 2014; Xu et al, 1995) or responses at adjacent stimulus levels (Suthakar and Liberman, 2019); (3) the ‘signal quality’ through scoring procedures like F-ratios (Cebulla et al, 2000; Don and Elberling, 1994; Elberling and Don, 1984; Sininger, 1993).…”
Section: Introductionmentioning
confidence: 99%