Speech auditory brainstem response in audiological practice: a systematic review

Başöz, Meliha; Guler, Nilsu; Kuru, Elif; Bal, Nilüfer; Toker, Ozge Gedik

doi:10.1007/s00405-023-07830-3

Cited by 3 publications

(2 citation statements)

References 69 publications

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“…The findings in tables 1 and 2 confirm what a recent systematic review says, which demonstrated its wide clinical applicability, in different age groups and, mainly, in the correlation with Central Auditory Processing (BASOZ, 2023). The latencies of the present study (Chart 1) are slightly higher when compared to two renowned studies that included the elderly population in their analyzes (Werff, Burns, 2011;Skoe et al, 2015), using software to perform them, using other equipment.…”

Section: Discussionsupporting

confidence: 86%

Frequency-Following Response in the Elderly Population: A Speech Decoding Analysis

Moreira,

Peixe,

Sanguebuche

et al. 2023

JHS

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Evoked Potential with click stimulus and Frequency-following Response. Due to strict eligibility criteria, the sample consisted of 25 elderly people, aged between 60 and 81, mean age of 66.88 years, 8 men and 17 women. Regarding the audiological characteristics, elderly people with normal hearing thresholds and mild and moderate sensorineural hearing loss were included. Results: It was possible to build the reference values for all the variables of the Frequency-following Response with speech stimulus, in the elderly, in the equipment: "Smart EP" of the brand: Intelligent Hearing Systems. Conclusion: Descriptive values for the FFR were determined. It is essential that the population and equipment are considered when analyzing the results of this procedure.

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Section: Discussionsupporting

confidence: 86%

Frequency-Following Response in the Elderly Population: A Speech Decoding Analysis

Moreira,

Peixe,

Sanguebuche

et al. 2023

JHS

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“…The ABR is the earliest AEP component, occurring within the first 10 ms after the presentation of an auditory stimulus. It reflects the activity of the auditory nerve and the brainstem and is commonly used to assess hearing sensitivity and diagnose hearing disorders [ 27 ]. The MLR is a later AEP component, occurring between 10 and 80 ms after the presentation of an auditory stimulus [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise

Ignatious

Azam

Jonkman

et al. 2023

JCM

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Hearing loss is a prevalent health issue that affects individuals worldwide. Binaural hearing refers to the ability to integrate information received simultaneously from both ears, allowing individuals to identify, locate, and separate sound sources. Auditory evoked potentials (AEPs) refer to the electrical responses that are generated within any part of the auditory system in response to auditory stimuli presented externally. Electroencephalography (EEG) is a non-invasive technology used for the monitoring of AEPs. This research aims to investigate the use of audiometric EEGs as an objective method to detect specific features of binaural hearing with frequency and time domain analysis techniques. Thirty-five subjects with normal hearing and a mean age of 27.35 participated in the research. The stimuli used in the current study were designed to investigate the impact of binaural phase shifts of the auditory stimuli in the presence of noise. The frequency domain and time domain analyses provided statistically significant and promising novel findings. The study utilized Blackman windowed 18 ms and 48 ms pure tones as stimuli, embedded in noise maskers, of frequencies 125 Hz, 250 Hz, 500 Hz, 750 Hz, 1000 Hz in homophasic (the same phase in both ears) and antiphasic (180-degree phase difference between the two ears) conditions. The study focuses on the effect of phase reversal of auditory stimuli in noise of the middle latency response (MLR) and late latency response (LLR) regions of the AEPs. The frequency domain analysis revealed a significant difference in the frequency bands of 20 to 25 Hz and 25 to 30 Hz when elicited by antiphasic and homophasic stimuli of 500 Hz for MLRs and 500 Hz and 250 Hz for LLRs. The time domain analysis identified the Na peak of the MLR for 500 Hz, the N1 peak of the LLR for 500 Hz stimuli and the P300 peak of the LLR for 250 Hz as significant potential markers in detecting binaural processing in the brain.

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Characteristics of Speech Auditory Brainstem Response in Preschool Children With Attention-Deficit/Hyperactivity Disorder

Sun,

Zhou,

Zhu

et al. 2024

J Speech Lang Hear Res

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Objective: This study aimed to investigate the characteristics of auditory processing (AP) in preschool children with attention-deficit/hyperactivity disorder (ADHD) using the speech auditory brainstem response (speech-ABR), which provides insights into the AP of speech signals in the central auditory nervous system (CANS). Method: A total of 84 preschool children diagnosed with ADHD, aged 4–6 years, were matched with 84 typically developing (TD) children based on gender and age. All children underwent speech-ABR testing, cognitive assessment using the Wechsler Preschool and Primary Scale of Intelligence–Fourth Edition or the Wechsler Intelligence Scale for Children–Fourth Edition, and a continuous performance test. Results: Children with ADHD exhibited significantly longer latencies of speech-ABR waveforms V, A, and D compared to TD children. Multiple linear regression analysis showed that the latencies of speech-ABR waves V, A, and D were affected by the presence of ADHD, but not by the full-scale intelligence quotient. Conclusions: This study revealed that preschool children with ADHD exhibited abnormal AP of speech signals in their CANS. The findings suggest that speech-ABR can be utilized as a reliable measure to evaluate AP ability in this population, as it remains unaffected by cognitive or attentional factors. The transient response (V, A) of speech-ABR was found to be a significant predictor of ADHD in a clinical setting. Early assessment of AP abnormalities via speech-ABR is recommended in preschool-age children to develop targeted interventions for ADHD. Supplemental Material: https://doi.org/10.23641/asha.26376502

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Speech auditory brainstem response in audiological practice: a systematic review

Cited by 3 publications

References 69 publications

Frequency-Following Response in the Elderly Population: A Speech Decoding Analysis

Frequency-Following Response in the Elderly Population: A Speech Decoding Analysis

Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise

Characteristics of Speech Auditory Brainstem Response in Preschool Children With Attention-Deficit/Hyperactivity Disorder

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