Speech auditory brainstem response audiometry in adults with sensorineural hearing loss

Nada, Nashwa; Kolkaila, Enaas; Gabr, Takwa A.; El-Mahallawi, Trandil H.

doi:10.1016/j.ejenta.2016.04.002

Cited by 9 publications

(13 citation statements)

References 28 publications

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“…The previous studies indicated that a long time is needed for processing the rapid acoustic stimuli, similar to the transient component of /da/ stimuli in the CI-recipient [11,17,18]. This finding is consistent with Nada et al [6], who reported a significant delay in the sound-field S-ABR responses initial wave latency in sensory-neural hearing loss. These findings could be defined by several factors, such as the required time for CI-recipients to process acoustical signals, defect in the brainstem response synchrony to the speech stimuli, degraded sound perception, limited language ability, or even a combination of the aforementioned factors [19].…”

Section: Discussionsupporting

confidence: 86%

“…Auditory evoked potentials (AEPs) are used for evaluating the neural encoding at different levels of the central auditory system. Speech-auditory brainstem response (S-ABR) is one of the AEPs, which can indicate some important speech features, processing at the brainstem level [6]. Speech stimuli Sound-Field Speech Evoked Auditory Brainstem Response in Cochlear-Implant Recipients have many acoustic parameters, which vary over time.…”

Section: Introductionmentioning

confidence: 99%

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Sound-Field Speech Evoked Auditory Brainstem Response in Cochlear-Implant Recipients

et al. 2020

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Background and Objectives: Currently limited information is available on speech stimuli processing at the subcortical level in the recipients of cochlear implant (CI). Speech processing in the brainstem level is measured using speech-auditory brainstem response (S-ABR). The purpose of the present study was to measure the S-ABR components in the sound-field presentation in CI recipients, and compare with normal hearing (NH) children.Subjects and Methods: In this descriptive-analytical study, participants were divided in two groups: patients with CIs; and NH group. The CI group consisted of 20 prelingual hearing impairment children (mean age=8.90 ± 0.79 years), with ipsilateral CIs (right side). The control group consisted of 20 healthy NH children, with comparable age and sex distribution. The S-ABR was evoked by the 40-ms synthesized /da/ syllable stimulus that was indicated in the sound-field presentation.Results: Sound-field S-ABR measured in the CI recipients indicated statistically significant delayed latencies, than in the NH group. In addition, these results demonstrated that the frequency following response peak amplitude was significantly higher in CI recipients, than in the NH counterparts (<i>p</i><0.05). Finally, the neural phase locking were significantly lower in CI recipients (<i>p</i><0.05). Conclusions: The findings of sound-field S-ABR demonstrated that CI recipients have neural encoding deficits in temporal and spectral domains at the brainstem level; therefore, the sound-field S-ABR can be considered an efficient clinical procedure to assess the speech process in CI recipients.

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Section: Discussionsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Sound-Field Speech Evoked Auditory Brainstem Response in Cochlear-Implant Recipients

et al. 2020

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“…The results showed no effect of hearing loss on cABR amplitudes. However, hearing loss led to delayed latencies indicating disturbed neural synchronization 31 . In terms of aided cABR, Easwar, Purcell, Aiken, Parsa, and Scollie (2015) reported that testing parameters, such as stimulus level, bandwidth, and use of hearing technology, affect cABR responses.…”

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confidence: 99%

Impact of hearing aid noise reduction algorithms on the speech-evoked auditory brainstem response

Seol

Park

et al. 2020

Sci Rep

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the purposes of this study are to investigate the neural representation of a speech stimulus in the auditory system of individuals with normal hearing (NH) and those with hearing aids (HAs) and to explore the impact of noise reduction algorithms (NR) on auditory brainstem response to complex sounds (cABR). Twenty NH individuals and 28 HA users completed puretone audiometry, the Korean version of the Hearing in Noise Test (K-HINT), and cABR. In 0 and +5 dB signal-to-noise ratios (SNRs), the NH group was tested in /da/ only (quiet) and /da/ with white noise (WN) conditions while the HA group was tested in /da/ only, /da/ WN, /da/ WN NR ON, and /da/ WN NR OFF conditions. Significant differences were observed between /da/ only and /da/ WN conditions for F0 in both groups, but no SNR effect was observed for both groups. Findings of this study are consistent with previous literature that diminished cABR amplitudes indicate reduced representation of sounds in the auditory system. This is the first to examine the effect of a specific HA feature on cABR responses. Hearing loss is a public health problem; the World Health Organization reports that 466 million people around the world experience disabling hearing loss 1. For those who are diagnosed with sensorineural hearing loss, HAs that amplify acoustic signals are often recommended as a major rehabilitative option. HAs should be fitted appropriately based on each patient's audiogram and characteristics, and a typical HA fitting appointment involves verification and validation. Patients are typically fitted with HAs with the aim of improving speech recognition in both quiet and noisy environments. Therefore, HAs contain features, such as NR, directional microphones, speech enhancement, or frequency lowering, to increase speech intelligibility. Speech intelligibility is one's ability to hear and understand speech signals. It is a natural, but complex process as both peripheral and central systems are involved 2-5. Compared to speech recognition in noise, speech recognition in a quiet environment is less challenging for individuals with HAs 6,7. When noise is present, speech signals get distorted, so it becomes challenging even for individuals with NH to understand speech 6,8. HAs have been shown to improve speech intelligibility in individuals with hearing loss. Hallgren, Larsby, Lyxell, and Arlinger (2005) compared the listening effort of HA users' aided and unaided performance in quiet and noisy environments. Perceived effort was lower and word identification scores were higher with HA use 6. However, there is a lack of evidence if various technical features employed in HAs are truly beneficial for speech understanding in noise. Brons, Houben, and Dreschler (2014) examined the effect of single-microphone NR on twenty individuals with sensorineural hearing loss. Although NR decreased annoyance caused by noise, it did not increase speech intelligibility; one of the randomly coded HA recordings in the study, NR2, was preferred the most by the participants, but showed the lo...

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“…No such result was seen in the control group. On the other hand, contradictory results were reported by other studies Leite [36], Nada [37]. In a study by Nada [37], speech-ABR (elicited by syllables (/da/ and /ba/) was recorded from 40 adults with bilateral mild-to-moderate SNHL and 20 adults with normal hearing.…”

Section: Introductionmentioning

confidence: 83%

Speech-Evoked Auditory Brainstem Response in Children with Sensorineural Hearing Loss

Jalaeia¹

2019

GJO

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Speech-evoked auditory brainstem response (speech-ABR) provides an objective documentation of temporal and spectral encoding of speech cues in the brainstem region. As such, the influence of peripheral hearing loss on speech-ABR has been studied but the current literature is limited. The aim of the present study was to compare speech-ABR findings between children with moderate-to-severe SNHL and their agematched normal peers. In this case control study, 17 hearing-impaired (HI) children (mean age = 7.1 ± 1.8 years) and 15 typically developing (TD) children (mean age = 6.1 ± 1.6 years) were enrolled. All HI children had bilateral moderately severe sensorineural hearing loss. The speech-ABR was recorded from HI and TD children to 40-ms speech syllable /da/ presented repetitively at 30 dB sensation level (SL). Statistically longer latencies were found in HI children than in TD children for onset peaks (V and A) and transition portion (peak C) (p < 0.05) with very large effect sizes (d = 1.16 -6.10). In contrast, the sustained components (peaks D, E and F) and offset portion (peak O) of speech-ABR were unaffected by hearing loss (p > 0.05). For speech-ABR composite onset measures, TD children revealed larger VA inter-peak amplitudes (d = 0.87) and steeper VA slopes (d = 1.36) compared to HI children (p < 0.05). Children with moderately severe sensorineural hearing loss had abnormal encoding of speech sounds within the brainstem region. Based on the study outcomes, the usefulness of speech-ABR can be expanded by studying the speech encoding ability in multi-handicapped children).

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Speech auditory brainstem response audiometry in adults with sensorineural hearing loss

Cited by 9 publications

References 28 publications

Sound-Field Speech Evoked Auditory Brainstem Response in Cochlear-Implant Recipients

Sound-Field Speech Evoked Auditory Brainstem Response in Cochlear-Implant Recipients

Impact of hearing aid noise reduction algorithms on the speech-evoked auditory brainstem response

Speech-Evoked Auditory Brainstem Response in Children with Sensorineural Hearing Loss

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