Evaluation of Speech-Evoked Envelope Following Responses as an Objective Aided Outcome Measure

Easwar, Vijayalakshmi; Purcell, David W.; Aiken, Steven J.; Parsa, Vijay; Scollie, Susan

doi:10.1097/aud.0000000000000199

Cited by 50 publications

(70 citation statements)

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“…Speech-ABR F0 encoding amplitudes followed the same pattern as speech-ABR peak amplitudes with larger aided than unaided amplitudes in both backgrounds, demonstrating that more audibility leads to larger response amplitudes. Larger aided F0 amplitudes and larger F0 amplitudes with increasing presentation levels have also been shown in EFRs of adults with SNHL (Ananthakrishnan et al., 2016; Easwar et al., 2015). Results from this study suggest that the effects of aiding/audibility may be measured with speech-ABRs.…”

Section: Discussionmentioning

confidence: 72%

“…Nonetheless, these results are in general agreement with published literature on the effects of increased audibility on brainstem responses. For example, Easwar et al. (2015) found better response detection and larger amplitudes in their aided EFRs compared to unaided, and also in response to a higher presentation level (65 dB SPL) compared to a lower presentation level (50 dB SPL).…”

Section: Discussionmentioning

confidence: 95%

“…Also, relationships between speech-ABRs or F0 representation and SIN performance were conducted through correlations, and although these indicate a relationship, they do not provide information on the predicative value of speech-ABRs or F0 encoding. Easwar et al. (2015) evaluated older adults with SNHL and found that a higher number of detected EFRs and larger EFR amplitudes were correlated with better performance on behavioral consonant identification in quiet.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, none of the aforementioned studies investigated the effects of aiding or background noise on speech-ABRs in individuals with SNHL. Easwar, Purcell, Aiken, Parsa, and Scollie (2015) investigated the effects of aiding and stimulus level on EFRs to a speech token in older adults (≥60 years of age) and found that both aiding (with HAs) and higher stimulus levels resulted in better EFR detection and an increase in EFR F0 amplitudes. More recently, Jenkins et al.…”

Section: Introductionmentioning

confidence: 99%

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Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

et al. 2019

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Evaluation of patients who are unable to provide behavioral responses on standard clinical measures is challenging due to the lack of standard objective (non-behavioral) clinical audiological measures that assess the outcome of an intervention (e.g., hearing aids). Brainstem responses to short consonant-vowel stimuli (speech-auditory brainstem responses [speech-ABRs]) have been proposed as a measure of subcortical encoding of speech, speech detection, and speech-in-noise performance in individuals with normal hearing. Here, we investigated the potential application of speech-ABRs as an objective clinical outcome measure of speech detection, speech-in-noise detection and recognition, and self-reported speech understanding in 98 adults with sensorineural hearing loss. We compared aided and unaided speech-ABRs, and speech-ABRs in quiet and in noise. In addition, we evaluated whether speech-ABR F0 encoding (obtained from the complex cross-correlation with the 40 ms [da] fundamental waveform) predicted aided behavioral speech recognition in noise or aided self-reported speech understanding. Results showed that (a) aided speech-ABRs had earlier peak latencies, larger peak amplitudes, and larger F0 encoding amplitudes compared to unaided speech-ABRs; (b) the addition of background noise resulted in later F0 encoding latencies but did not have an effect on peak latencies and amplitudes or on F0 encoding amplitudes; and (c) speech-ABRs were not a significant predictor of any of the behavioral or self-report measures. These results show that speech-ABR F0 encoding is not a good predictor of speech-in-noise recognition or self-reported speech understanding with hearing aids. However, our results suggest that speech-ABRs may have potential for clinical application as an objective measure of speech detection with hearing aids.

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Section: Discussionmentioning

confidence: 72%

Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

et al. 2019

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“…Furthermore, as the ASSR stimulus passes through the hearing aid, it must be ensured that the correct gain is applied and that the correct signal processing features relevant for speech are activated. This can be achieved by manipulating the settings of the hearing aid, for example, by turning off helping systems such as noise reduction or directionality ( Billings, Tremblay, Souza, & Binns, 2007 ; Carter, Dillon, Seymour, Seeto, & Van Dun, 2013 ; Easwar, Purcell, Aiken, Parsa, & Scollie, 2015 ). This is necessary because any standard ASSR stimulus, such as modulated tones or noise bands, will be classified as noise by the hearing aid due to these stimuli’s lack of speech-like features.…”

Section: Introductionmentioning

confidence: 99%

On the Cost of Introducing Speech-Like Properties to a Stimulus for Auditory Steady-State Response Measurements

Laugesen

Rieck

Elberling³

et al. 2018

Trends in Hearing

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Validating hearing-aid fittings in prelingual infants is challenging because typical measures (aided audiometry, etc.) are impossible with infants. One objective alternative uses an aided auditory steady-state response (ASSR) measurement. To make an appropriate measurement, the hearing aid’s signal-processing features must be activated (or deactivated) as if the ASSR stimulus was real speech. Rather than manipulating the hearing-aid settings to achieve this, an ASSR stimulus with speech-like properties was developed. This promotes clinical simplicity and face validity of the validation. The stimulus consists of narrow-band CE-Chirps®, modified to mimic the International Speech Test Signal (ISTS). This study examines the cost of introducing the speech-like features into the ASSR stimulus. Thus, 90 to 100 Hz ASSRs were recorded to the ISTS-modified stimulus as well as an equivalent stimulus without the ISTS modification, presented through insert phones to 10 young normal-hearing subjects. Noise-corrected ASSR magnitudes and clinically relevant detection times were estimated and analyzed with mixed-model analyses of variance. As a supplement, the observed changes to the ASSR magnitudes were compared with an objective characterization of the stimuli based on modulation power. The main findings were a reduction in ASSR magnitude of 4 dB and an increase in detection time by a factor of 1.5 for the ISTS-modified stimulus compared with the standard. Detection rates were unaffected given sufficient recording time. For clinical use of the hearing-aid validation procedure, the key metric is the detection time. While this varied considerably across subjects, the observed 50% mean increase corresponds to less than 1 min of additional recording time.

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Clinical Translation: Aging, Hearing Loss, and Amplification

Anderson

2017

The Frequency-Following Response

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Evaluation of Speech-Evoked Envelope Following Responses as an Objective Aided Outcome Measure

Cited by 50 publications

References 50 publications

Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

Speech Auditory Brainstem Responses in Adult Hearing Aid Users: Effects of Aiding and Background Noise, and Prediction of Behavioral Measures

On the Cost of Introducing Speech-Like Properties to a Stimulus for Auditory Steady-State Response Measurements

Clinical Translation: Aging, Hearing Loss, and Amplification

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