scholarly journals Construction of Hindi Speech Stimuli for Eliciting Auditory Brainstem Responses

2016 ◽  
Vol 68 (4) ◽  
pp. 496-507
Author(s):  
Mohammad Shamim Ansari ◽  
R. Rangasayee
Keyword(s):  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Speech Stimuli

scholarly journals On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260090
Author(s):  
Emanuele Perugia ◽  
Ghada BinKhamis ◽  
Josef Schlittenlacher ◽  
Karolina Kluk
Keyword(s):  
Hearing Aids ◽  
Background Noise ◽  
Digit Span ◽  
Regression Trees ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Speech Stimuli ◽  
Speech In Noise ◽  
Pure Tone Average ◽  
Clinical Strategies

Current clinical strategies to assess benefits from hearing aids (HAs) are based on self-reported questionnaires and speech-in-noise (SIN) tests; which require behavioural cooperation. Instead, objective measures based on Auditory Brainstem Responses (ABRs) to speech stimuli would not require the individuals’ cooperation. Here, we re-analysed an existing dataset to predict behavioural measures with speech-ABRs using regression trees. Ninety-two HA users completed a self-reported questionnaire (SSQ-Speech) and performed two aided SIN tests: sentences in noise (BKB-SIN) and vowel-consonant-vowels (VCV) in noise. Speech-ABRs were evoked by a 40 ms [da] and recorded in 2x2 conditions: aided vs. unaided and quiet vs. background noise. For each recording condition, two sets of features were extracted: 1) amplitudes and latencies of speech-ABR peaks, 2) amplitudes and latencies of speech-ABR F0 encoding. Two regression trees were fitted for each of the three behavioural measures with either feature set and age, digit-span forward and backward, and pure tone average (PTA) as possible predictors. The PTA was the only predictor in the SSQ-Speech trees. In the BKB-SIN trees, performance was predicted by the aided latency of peak F in quiet for participants with PTAs between 43 and 61 dB HL. In the VCV trees, performance was predicted by the aided F0 encoding latency and the aided amplitude of peak VA in quiet for participants with PTAs ≤ 47 dB HL. These findings indicate that PTA was more informative than any speech-ABR measure, as these were relevant only for a subset of the participants. Therefore, speech-ABRs evoked by a 40 ms [da] are not a clinical predictor of behavioural measures in HA users.

scholarly journals Neural Measures of Pitch Processing in EEG Responses to Running Speech

2021 ◽  
Vol 15 ◽  
Author(s):  
Florine L. Bachmann ◽  
Ewen N. MacDonald ◽  
Jens Hjortkjær
Keyword(s):  
Speech Signal ◽  
Signal To Noise Ratio ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Speech Stimuli ◽  
Relative Pitch ◽  
Cortical Responses ◽  
Brainstem Response ◽  
Signal Yield ◽  
Model Predictor

Linearized encoding models are increasingly employed to model cortical responses to running speech. Recent extensions to subcortical responses suggest clinical perspectives, potentially complementing auditory brainstem responses (ABRs) or frequency-following responses (FFRs) that are current clinical standards. However, while it is well-known that the auditory brainstem responds both to transient amplitude variations and the stimulus periodicity that gives rise to pitch, these features co-vary in running speech. Here, we discuss challenges in disentangling the features that drive the subcortical response to running speech. Cortical and subcortical electroencephalographic (EEG) responses to running speech from 19 normal-hearing listeners (12 female) were analyzed. Using forward regression models, we confirm that responses to the rectified broadband speech signal yield temporal response functions consistent with wave V of the ABR, as shown in previous work. Peak latency and amplitude of the speech-evoked brainstem response were correlated with standard click-evoked ABRs recorded at the vertex electrode (Cz). Similar responses could be obtained using the fundamental frequency (F0) of the speech signal as model predictor. However, simulations indicated that dissociating responses to temporal fine structure at the F0 from broadband amplitude variations is not possible given the high co-variance of the features and the poor signal-to-noise ratio (SNR) of subcortical EEG responses. In cortex, both simulations and data replicated previous findings indicating that envelope tracking on frontal electrodes can be dissociated from responses to slow variations in F0 (relative pitch). Yet, no association between subcortical F0-tracking and cortical responses to relative pitch could be detected. These results indicate that while subcortical speech responses are comparable to click-evoked ABRs, dissociating pitch-related processing in the auditory brainstem may be challenging with natural speech stimuli.

scholarly journals Speech Evoked Auditory Brainstem Response in Stuttering

Scientifica ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ali Akbar Tahaei ◽  
Hassan Ashayeri ◽  
Akram Pourbakht ◽  
Mohammad Kamali
Keyword(s):  
Auditory Processing ◽  
Auditory Pathway ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Control Group ◽  
Central Auditory Processing ◽  
Significant Group ◽  
Speech Stimuli ◽  
Brainstem Response ◽  
Processing Deficits

Auditory processing deficits have been hypothesized as an underlying mechanism for stuttering. Previous studies have demonstrated abnormal responses in subjects with persistent developmental stuttering (PDS) at the higher level of the central auditory system using speech stimuli. Recently, the potential usefulness of speech evoked auditory brainstem responses in central auditory processing disorders has been emphasized. The current study used the speech evoked ABR to investigate the hypothesis that subjects with PDS have specific auditory perceptual dysfunction.Objectives. To determine whether brainstem responses to speech stimuli differ between PDS subjects and normal fluent speakers.Methods. Twenty-five subjects with PDS participated in this study. The speech-ABRs were elicited by the 5-formant synthesized syllable/da/, with duration of 40 ms.Results. There were significant group differences for the onset and offset transient peaks. Subjects with PDS had longer latencies for the onset and offset peaks relative to the control group.Conclusions. Subjects with PDS showed a deficient neural timing in the early stages of the auditory pathway consistent with temporal processing deficits and their abnormal timing may underlie to their disfluency.

scholarly journals Exposing distinct subcortical components of the auditory brainstem response evoked by continuous naturalistic speech

2020 ◽  
Author(s):  
Melissa J Polonenko ◽  
Ross K Maddox
Keyword(s):  
Speech Processing ◽  
Auditory Nerve ◽  
Auditory Brainstem ◽  
Clinical Applications ◽  
Auditory Brainstem Responses ◽  
Subcortical Structures ◽  
Deconvolution Analysis ◽  
Speech Stimuli ◽  
Eeg Data ◽  
Brainstem Response

ABSTRACTThe auditory brainstem is important for processing speech, yet we have much to learn regarding the contributions of different subcortical structures. These deep neural generators respond quickly, making them difficult to study during dynamic, ongoing speech. Recently developed techniques have paved the way to use natural speech stimuli, but the auditory brainstem responses (ABRs) they provide are temporally broad and thus have ambiguous neural sources. Here we describe a new method that uses re-synthesized “peaky” speech stimuli and deconvolution analysis of EEG data to measure canonical ABRs to continuous naturalistic speech of male and female narrators. We show that in adults with normal hearing, peaky speech quickly yields robust ABRs that can be used to investigate speech processing at distinct subcortical structures from auditory nerve to rostral brainstem. We further demonstrate the versatility of peaky speech by simultaneously measuring bilateral and ear-specific responses across different frequency bands. Thus, the peaky speech method holds promise as a powerful tool for investigating speech processing and for clinical applications.

The Effect of Kalman-Weighted Averaging and Artifact Rejection on Residual Noise During Auditory Brainstem Response Testing

2019 ◽  
Vol 28 (1) ◽  
pp. 114-124
Author(s):  
Linda W. Norrix ◽  
Julie Thein ◽  
David Velenovsky
Keyword(s):  
Repeated Measures ◽  
Auditory Brainstem ◽  
Weighted Averaging ◽  
Auditory Brainstem Responses ◽  
Residual Noise ◽  
Electrophysiological Recordings ◽  
Artifact Rejection ◽  
Brainstem Response ◽  
Active Motor ◽  
Averaging Time

Purpose Low residual noise (RN) levels are critically important when obtaining electrophysiological recordings of threshold auditory brainstem responses. In this study, we examine the effectiveness and efficiency of Kalman-weighted averaging (KWA) implemented on the Vivosonic Integrity System and artifact rejection (AR) implemented on the Intelligent Hearing Systems SmartEP system for obtaining low RN levels. Method Sixteen adults participated. Electrophysiological measures were obtained using simultaneous recordings by the Vivosonic and Intelligent Hearing Systems for subjects in 2 relaxed conditions and 4 active motor conditions. Three averaging times were used for the relaxed states (1, 1.5, and 3 min) and for the active states (1.5, 3, and 6 min). Repeated-measures analyses of variance were used to examine RN levels as a function of noise reduction strategy (i.e., KWA, AR) and averaging time. Results Lower RN levels were obtained using KWA than AR in both the relaxed and active motor states. Thus, KWA was more effective than was AR under the conditions examined in this study. Using KWA, approximately 3 min of averaging was needed in the relaxed condition to obtain an average RN level of 0.025 μV. In contrast, in the active motor conditions, approximately 6 min of averaging was required using KWA. Mean RN levels of 0.025 μV were not attained using AR. Conclusions When patients are not physiologically quiet, low RN levels are more likely to be obtained and more efficiently obtained using KWA than AR. However, even when using KWA, in active motor states, 6 min of averaging or more may be required to obtain threshold responses. Averaging time needed and whether a low RN level can be attained will depend on the level of motor activity exhibited by the patient.

Effects of Aging on the Subcortical Encoding of Stop Consonants

2020 ◽  
Vol 29 (3) ◽  
pp. 391-403
Author(s):  
Dania Rishiq ◽  
Ashley Harkrider ◽  
Cary Springer ◽  
Mark Hedrick
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Mixed Model ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Aging Effects ◽  
Formant Frequency ◽  
Place Of Articulation ◽  
Second Formant ◽  
Effects Of Aging

Purpose The main purpose of this study was to evaluate aging effects on the predominantly subcortical (brainstem) encoding of the second-formant frequency transition, an essential acoustic cue for perceiving place of articulation. Method Synthetic consonant–vowel syllables varying in second-formant onset frequency (i.e., /ba/, /da/, and /ga/ stimuli) were used to elicit speech-evoked auditory brainstem responses (speech-ABRs) in 16 young adults ( M age = 21 years) and 11 older adults ( M age = 59 years). Repeated-measures mixed-model analyses of variance were performed on the latencies and amplitudes of the speech-ABR peaks. Fixed factors were phoneme (repeated measures on three levels: /b/ vs. /d/ vs. /g/) and age (two levels: young vs. older). Results Speech-ABR differences were observed between the two groups (young vs. older adults). Specifically, older listeners showed generalized amplitude reductions for onset and major peaks. Significant Phoneme × Group interactions were not observed. Conclusions Results showed aging effects in speech-ABR amplitudes that may reflect diminished subcortical encoding of consonants in older listeners. These aging effects were not phoneme dependent as observed using the statistical methods of this study.

Comparisons of Auditory Brainstem Responses Between a Laboratory and Simulated Home Environment

2020 ◽  
Vol 63 (11) ◽  
pp. 3877-3892
Author(s):  
Ashley Parker ◽  
Candace Slack ◽  
Erika Skoe
Keyword(s):  
Home Environment ◽  
Signal To Noise Ratio ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Single Family ◽  
Adult Participants ◽  
Simulated Home Environment ◽  
Brainstem Response ◽  
Research Populations ◽  
Response Consistency

Purpose Miniaturization of digital technologies has created new opportunities for remote health care and neuroscientific fieldwork. The current study assesses comparisons between in-home auditory brainstem response (ABR) recordings and recordings obtained in a traditional lab setting. Method Click-evoked and speech-evoked ABRs were recorded in 12 normal-hearing, young adult participants over three test sessions in (a) a shielded sound booth within a research lab, (b) a simulated home environment, and (c) the research lab once more. The same single-family house was used for all home testing. Results Analyses of ABR latencies, a common clinical metric, showed high repeatability between the home and lab environments across both the click-evoked and speech-evoked ABRs. Like ABR latencies, response consistency and signal-to-noise ratio (SNR) were robust both in the lab and in the home and did not show significant differences between locations, although variability between the home and lab was higher than latencies, with two participants influencing this lower repeatability between locations. Response consistency and SNR also patterned together, with a trend for higher SNRs to pair with more consistent responses in both the home and lab environments. Conclusions Our findings demonstrate the feasibility of obtaining high-quality ABR recordings within a simulated home environment that closely approximate those recorded in a more traditional recording environment. This line of work may open doors to greater accessibility to underserved clinical and research populations.

Referrals for Auditory Brainstem Responses—Compliance of Otoneurological Patients

Skull Base ◽  
2007 ◽  
Vol 16 (S 2) ◽  
Author(s):  
Magdalini Tsiakou ◽  
Thomas Nikolopoulos ◽  
Olga Papadopoulou ◽  
Maria Theodosiou ◽  
Sotirios Pappas ◽  
...  
Keyword(s):  
Auditory Brainstem ◽  
Auditory Brainstem Responses

Effects of Presbycusis and Other Types of Hearing Loss on Auditory Brainstem Responses

1986 ◽  
Vol 15 (4) ◽  
pp. 179-185
Author(s):  
Ulf Rosenhall ◽  
Kai Pedersen ◽  
Mats Dotevall
Keyword(s):  
Hearing Loss ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses
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