|
|
TECHNICAL ARTICLE |
|
Year : 2014 | Volume
: 6
| Issue : 8 | Page : 418-421 |
|
A novel method of brainstem auditory evoked potentials using complex verbal stimuli
Sophia N Kouni1, Constantinos Koutsojannis2, Nausika Ziavra3, Sotirios Giannopoulos1
1 Department of Neurology, School of Health Sciences, University of Ioannina, Ioannina, Greece 2 Department of Physiotherapy, School of Health Sciences, Technological and Educational Institute of Patras, Patras, Greece 3 Department of Speech Therapy, School of Health Sciences, Technological and Educational Institute of Ioannina, Ioannina, Greece
Date of Web Publication | 20-Aug-2014 |
Correspondence Address: Sophia N Kouni BSc, MSc, 7 Aratou Street, Queen Olgas Square, Patras - 26221, Greece Greece
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1947-2714.139303
Background: The click and tone-evoked auditory brainstem responses are widely used in clinical practice due to their consistency and predictability. More recently, the speech-evoked responses have been used to evaluate subcortical processing of complex signals, not revealed by responses to clicks and tones. Aims: Disyllable stimuli corresponding to familiar words can induce a pattern of voltage fluctuations in the brain stem resulting in a familiar waveform, and they can yield better information about brain stem nuclei along the ascending central auditory pathway. Materials and Methods: We describe a new method with the use of the disyllable word "baba" corresponding to English "daddy" that is commonly used in many other ethnic languages spanning from West Africa to the Eastern Mediterranean all the way to the East Asia. Results: This method was applied in 20 young adults institutionally diagnosed as dyslexic (10 subjects) or light dyslexic (10 subjects) who were matched with 20 sex, age, education, hearing sensitivity, and IQ-matched normal subjects. The absolute peak latencies of the negative wave C and the interpeak latencies of A-C elicited by verbal stimuli "baba" were found to be significantly increased in the dyslexic group in comparison with the control group. Conclusions: The method is easy and helpful to diagnose abnormalities affecting the auditory pathway, to identify subjects with early perception and cortical representation abnormalities, and to apply the suitable therapeutic and rehabilitation management. Keywords: Auditory brainstem responses, Complex auditory brainstem responses, Speech stimuli
How to cite this article: Kouni SN, Koutsojannis C, Ziavra N, Giannopoulos S. A novel method of brainstem auditory evoked potentials using complex verbal stimuli. North Am J Med Sci 2014;6:418-21 |
How to cite this URL: Kouni SN, Koutsojannis C, Ziavra N, Giannopoulos S. A novel method of brainstem auditory evoked potentials using complex verbal stimuli. North Am J Med Sci [serial online] 2014 [cited 2023 Jun 5];6:418-21. Available from: https://www.najms.org/text.asp?2014/6/8/418/139303 |
Introduction | |  |
Auditory brainstem responses (ABRs) provide sensitive non invasive neurophysiologic method for recording of electrical events that occur along the auditory pathway of the brainstem. [1] Simple stimuli such as clicks or tones have been widely used, so far, in clinical practice in the evaluation of auditory pathway integrity in many diseases affecting synaptic activity. Indeed, in a very recent paper, it was found that diabetic patients have an early involvement of central auditory pathway that can be detected with fair accuracy with auditory brainstem responses .[2] However, these non-speech stimuli do not provide insight about the actual processing of speech sounds. Therefore, more complex stimuli or complex auditory brainstem responses (cABRs), such as speech and music, have been used recently .[3] So far, the monosyllable speech stimulus "da" corresponding to the first syllable of the English word "daddy" has been used experimentally [4] We have already used the speech stimulus "ma" which is the first syllable of Greek "mama" corresponding to English "mammy" and we have found a number of significant differences in the onset response in young adults with dyslexia when compared to their normal counterparts .[5] Such disyllable stimuli corresponding to familiar words induce a pattern of voltage fluctuations in the brain stem resulting in a familiar waveform, yielding better information about brain stem nuclei along the ascending central auditory pathway.
Therefore, we have used for the first time, a new method of artificial successive complex stimuli "baba". The disyllable word "baba", contains frequencies [6] closer to "da" than "ma" and has components acoustically similar to "da". Furthermore, the word "baba", which means father, is used also in many ethnic languages such as Arabic, Chinese, Slavic, Turkish, and in other languages spanning from West Africa to the Eastern Mediterranean all the way to the East Asia.
Materials and Methods | |  |
Stimulus selection, duration, presentation
The selection of stimulus depends mainly on the population being studied and the specific research questions we have in hand. During the piloting phase, several different stimulus tokens should have been used to determine whether robust and reliable cABRs have been obtained. [7] A summary is provided [7] in [Table 1]. In our experiments, the duration was 170 ms. Because of the sheer number of stimulus presentations required to obtain a robust response, there is an obvious tradeoff between stimulus duration and length of the recording session. In order to record 6000 trials to a synthesized 50 ms /ba/ takes approximately 9 minutes, assuming an interstimulus interval (ISI) of 50 ms. Because each consonant-vowel pair has a unique formant transition, the steady-state vowel can be removed with little impact on the percept. Stimulus duration greatly affects pitch because lower frequencies have longer periods than higher frequencies (e.g., a 20-ms stimulus can have no meaningful frequency representation under 50 Hz). This section covers topics relating to stimulus presentation including stimulus intensity; monaural and binaural stimulation; left and right ear stimulation, stimulus polarity, stimulation rate; transducers (i.e., earphones, loudspeakers); jitter in the stimulus presentation, and multiple stimulus conditions [7] [Table 2].
Transient and sustained characteristics
In the case of speech syllables, transient features include the onset of the sound, and the offset of sound. Within the classes of speech sounds, obstruent stop consonants (e.g., /d/, /b/, /k/) have, by definition, sharper stimulus onsets than nasals and glides (e.g., /m/ and /y/, respectively) and produce more robust onset responses. [4],[5],[6] In order to obtain strong sustained responses, the cABR stimulus should have a low pitch with a fundamental frequency (F 0 ) in the range of 80-300 Hz. While speech can contain spectral information up to 10 kHz, the spectral information necessary for distinguishing different consonants and vowels is largely below 3000 Hz. [7]
The use the word "baba"
We have used the word "baba" for the following reasons: First, the word "baba" corresponds to English "daddy", consists of two repeated "ba" and is used in many other languages. Thus, we use verbal acoustic stimuli consisting of broad band syllabus "baba" with fast rise, plateau, intersyllabus, and fall time replacing the already well-established "da" for similar studies with English speaking subjects [3],[7] Second, the sound consists of a transient segment followed by a sustained periodic segment. It is, in a sense, much like a click followed by a tone-two acoustic signals whose brainstem response properties have been extensively characterized. Third, stop consonants pose great perceptual challenges to clinical populations such as the hearing- and learning-impaired. All stimuli were created in a digital speech synthesizer. The acoustic properties of stimulus had to be checked with a sound analyzer before proceeding with the experiment. To confirm that the stimulus meets the desired specifications, the synthetic sound was acoustically analyzed in Praat [8] The final recordings were analyzed and the peaks named in the same way as those of well-established [6] cABRs.
Complex auditory brainstem recording collection
A PC-based stimulus delivery system controlled time of delivery, stimulus sequence, and stimulus intensity, and triggered the PC-based evoked potential averaging system. All electrode impedances were <5 kOhms. Reproducibility of the results was always achieved. The cABRs were collected, in response to a click (0.1 ms) and randomly presented alternating polarities of "ba". cABRs were differentially recorded from Cz-to-ipsilateral earlobe, with forehead as ground. The sampling rate was 20,000 Hz. Responses were bandpass filtered on-line from 100 to 2000 Hz. Sweeps with noise levels which exceeded ± 30 μV were rejected from the average. Three repetitions of 1000 sweeps each were collected in response to the click as well as for each polarity of "ba". The click stimuli were presented at 80 dB SPL with an inter-stimulus interval (ISI) of 32 ms; the recording window was 20 ms, including a 10-ms pre-stimulus period [5] The "ba" stimuli were presented at 80 dB SPL with an ISI of 51 ms; the recording window was 160 ms, including a 10-ms pre-stimulus period (sum 170 ms). [9]
Complex auditory brainstem recording analysis
The latencies of the click-evoked waves I-V and the negative peaks following stimulus "baba", marked A and C, were compared to normative values [Figure 1]. Issues relating to electrodes, filtering, sampling rate, signal averaging, simultaneous ABR-cortical EP recording, artifact reduction, and recording conditions are summarized [7] in [Table 3]. | Figure 1: cABRs representation of a 160 ms to /ba/ba stimulus (upper) and time-matching response (lower) including peaks III, V, A, C, D that relate to major acoustic landmarks of the stimulus and with neural transmission time between cochlea and brainstem. Microvolts refer to the response
Click here to view |
Results | |  |
Our method has been already applied in 20 institutionally diagnosed young adults with learning disabilities after thorough audiologic examination including speech reception threshold testing, pure-tone audiometry, speech discrimination testing, and tympanometry. [6] Twenty age-, sex-, education-, hearing sensitivity-, and IQ-matched healthy young adults constituted the control group. Absolute peak latencies of the negative wave C and the interpeak latencies of A-C elicited by verbal stimuli "baba" were significantly increased in the dyslexic group in comparison with the control group. In a subgroup of 10 light dyslexic patients, no significant delays were found in peak latencies A and C and interpeak latencies A-C in comparison with the control group.
Discussion | |  |
This method shows that acoustic representation of speech sound of word "baba" exists as low as the auditory brainstem and ABRs are delayed in subjects with learning disabilities. The monosyllable "ba" was used, for the first time instead of "da", because when it pronounced successively creates the word "baba", with meaning "father" that is used in several languages which cover more than half of the world population. Furthermore, it has components acoustically similar to "da". So far, the literature on speech-ABRs has included speakers of different languages, including English, French, Catalan, Spanish, Greek, Persian, and Hindi [10] For native speakers, differences might be in brainstem processing for the short syllable "da". By using our method, such differences will not exist since syllable "ba" and especially in a successive way the word "baba" is commonly used in many other countries.
Approximately 9% children in the United States have reading and learning problems. [11] Therefore, this method could be applied in understanding effects of peripheral hearing loss on processing of speech sounds, in children and adults with auditory processing problems. Studying the processing of speech sounds at the brainstem may provide knowledge regarding the central auditory processes involved in normal hearing individuals and also in other clinical populations as they incorporate parts of central processing and efferent recognition process of auditory signals. Furthermore, cochlear implants, hearing aids, plasticity of the auditory system, presbycusis, and acoustic neuropathy can be also evaluated. Our method can be also used in identifying children at risk for acoustic-based learning problems and dyslexia before they reach at school age. [12] This can help to identify subjects with acoustically based learning problems and apply early intervention, rehabilitation, and treatment. Certainly, careful normal values are needed in order early screening to be reliable.
The subjects we studied had already subjected to some kind of training due to their age and for this reason we believe that our findings represent a sound propagation problem in dyslexia. Other studies, however, have postulated a pure top-down modulation of signal input due to faulty phonemic awareness. [13]
Further extended research is needed to reveal the advantages or possible weaknesses of the proposed method, even if preliminary results are promising, in order to be updated and refined for future applications.
References | |  |
1. | Peterein JL, Neely JG. Auditory brainstem response testing in neurodiagnosis: Structure versus function. J Am Acad Audiol 2012;23:269-75.  |
2. | Gupta S, Baweja P, Mittal S, Kumar A, Singh KD, Sharma R. Brainstem auditory evoked potential abnormalities in type 2 diabetes mellitus. N Am J Med Sci 2013;5:60-5.  |
3. | Johnson KL, Nicol TG, Kraus N. Brain stem response to speech: A biological marker of auditory processing. Ear Hear 2005;26:424-34.  |
4. | Sinha SK, Basavaraj V. Speech evoked auditory brainstem responses: A new tool to study brainstem encoding of speech sounds. Indian J Otolaryngol Head Neck Surg 2010;62:395-9.  |
5. | Kouni SN, Papadeas ES, Varakis IN, Kouvelas HD, Koutsojannis CM. Auditory brainstem responses in dyslexia: Comparison between acoustic click and verbal stimulus events. J Otolaryngol 2006;5:305-9.  |
6. | Kouni SN, Giannopoulos S, Ziavra N, Koutsojannis C. Brainstem auditory evoked potentials with the use of acoustic clicks and complex verbal sounds in young adults with learning disabilities. Am J Otolaryngol 2013;34:646-51.  |
7. | Skoe E, Kraus N. Auditory brainstem response to complex sounds: A tutorial. Ear Hear 2010;31:302-24.  |
8. | Gonçalves IC, Wertzner HF, Samelli AG, Matas CG. Speech and non-speech processing in children with phonological disorders: An electrophysiological study. Clinics (Sao Paulo) 2011;66:293-8.  |
9. | Fradis M, Podoshin L, Ben-David J, Statter P, Pratt H, Nahir M. Brainstem auditory evoked potentials with increased stimulus rate in patients suffering from systemic lupus erythematosus. Laryngoscope 1989;99:325-9.  |
10. | Skoe E, Chandrasekaran B. The layering of auditory experiences in driving experience-dependent subcortical plasticity. Hear Res 2014.  |
11. | King C, Warrier CM, Hayes E, Kraus N. Deficits in auditory brainstem pathway encoding of speech sounds in children with learning problems. Neurosci Lett 2002;319:111-5.  |
12. | Malayeri S, Lotfi Y, Moossavi SA, Rostami R. Brainstem response to speech and non-speech stimuli in children with learning problems. Hear Res 2014;313:75-82.  |
13. | Krishnan A, Gandour JT, Bidelman GM, Swaminathan J. Experience-dependent neural representation of dynamic pitch in the brainstem. Neuroreport 2009;20:408-13.  |
[Figure 1]
[Table 1], [Table 2], [Table 3]
|