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Cortical auditory evoked potentials in peripheral neuropathy

Abstract

Background

Cortical auditory evoked potentials (CAEPs) display both auditory processing and neurological activity in the auditory cortex. The purpose of this research is to evaluate the importance of CAEPs in identifying auditory processing disorders in patients with peripheral neuropathy (PN) in different pathologies. Sixty cases with PN of different pathologies represented the study group which was classified into two subgroups according to the underlying pathology of PN: those with either axonal PN (44 patients) and those with demyelinating PN (16 patients). The current study also included a control group of 40 healthy volunteers who did not have any peripheral or central auditory neurological disorders. CAEPs were recorded in both groups.

Results

The study group’s CAEP response showed significantly delayed latencies than the control groups. Comparing the two study subgroups revealed that the axonal PN group had significant delayed latencies of N1 and P2 components in comparison to the demyelinating PN group.

Conclusion

Cortical auditory evoked potentials can be used efficiently to diagnosis central auditory processing disorders in patients with PN. CAEP latencies can be employed alone or in conjunction with amplitudes; however, CAEP latencies are more significant than amplitudes for such purpose. Both demyelinating and axonal PN are associated with impaired auditory processing; however, axonal PN patients are more likely to be affected, suggesting that axonal PN has a significantly drastic effect on the central auditory nervous system.

Background

Auditory evoked potentials (AEPs) are an effective method for assessing the health and efficiency of the central auditory nervous system (CANS). They can be used to evaluate working memory, attention, and auditory processing speed [1].

Auditory evoked potentials allow for the assessment of the neural activity involved in most of the stages, beginning with sound detection, to integration abilities, through to discrimination of sounds. This allows for a more thorough assessment of central auditory abilities. AEPs can be used for objective evaluation of these abilities in clinical settings. According to Didoné and colleagues, they are one of the most promising electrophysiological assays for determining CANS dysfunction and/or alterations [2].

One of these powerful potentials is the CAEPs (P1-N1-P2 complex) that displays neurological activity in the brain’s auditory cortex [3]. These have been suggested as markers of impaired auditory processing [4]. They are obligatory responses that occur beyond 50ms and up to 200ms following the stimulus onset. This complex consists of a series of waves which can be either positive (P) or negative (N) [5]. Longer latency responses in the N1 and P2 components of CAEPs are caused by temporal changes in cortical auditory response characteristics, which delay synchronous firing for the acoustic features perception [6]. Additionally, the evaluation of central processes makes use of distinctive methods for measuring how the nervous system’s electrical potentials change in response to auditory stimulation at different levels [7]. Moreover, CAEPs assessment is non-invasive, cost-effective, and reliable and does not call for attention or behavioral reactions [8]. This allows for the recording of brain electrical activity without interference [9].

Peripheral neuropathy (PN) is a painful broad spectrum of diseases that damage and deteriorate peripheral nervous system neurons in different ways [10]. In PN, pain arises as a direct consequence of increased sensitivity of injurious sensory neurons to afferent signals that manifest as hyperexcitability of primary afferent neurons and a decrease in their activation threshold. It could also be a result of drugs that act as neurotoxins that cause axonal degeneration similar to demyelination process [11]

Independent of peripheral hearing loss, a link between central auditory function and auditory processing dysfunction has been established in PN patients [12]. PN induces plastic changes in synaptic transmission at various central system levels including the spinal cord and different brain regions such as the thalamus, brainstem, and cerebral cortex [13].

The majority of those patients also have a higher risk of falling due to peripheral manifestations such as chronic pain and poor sleep. The underlying pathology in PN suggested the possibility of the presence of auditory processing impairment [14].

In this study, we hypothesize that there may be subtle central pathology in PN patients that could be responsible for the presence of auditory processing impairment in PN cases. This assumption did not receive too much attention. So, our principal aim was to evaluate CAEPs’ usefulness in identifying patients with PN who are experiencing early auditory processing deterioration. We also investigated the possible effect of the underlying pathology of PN on their central auditory function.

Methods

One hundred adult participants, aged 18 to 45 years, were recruited to participate in this study and were divided into two groups. Sixty cases with PN of different pathologies represented the study group and 40 healthy volunteers (who did not have any peripheral or central auditory neurological disorders) represented the control group. According to Pop-Busui and colleagues [15], when two different aberrant nerve responses occurred in more than one limb and nerve conduction study (NCS) parameters were two standard deviations (SD) above normative values, PN was identified. Two subgroups were created out of the study group: those with axonal PN (44 patients) and demyelinating PN (16 patients). The causes of PN in our study included diabetic mellitus, leprosy, vasculopathy, and chronic inflammatory demyelinating polyradiculoneuropathy (CIDP).

For both groups, those with bilateral normal hearing sensitivity are required for inclusion.

Subjects with a history of head trauma or stroke, ototoxic medication, middle ear disorders, hearing loss, prior ear surgery, psychological disorders, endocrine disorders, or chronic systemic diseases (like uncontrolled diabetes mellitus or hypertension) were excluded from the research.

All cases in this study were recruited from cases attending the Audiovestibular Medicine, Rheumatology, and Internal Medicine clinics at XXX University Hospitals were the participants. Each study participant was given information about the testing procedure before their signed consent was acquired. This study was approved by the Scientific Research Ethics Committee at 8th of April 2020. The approval number is KFSIRB200-2.

A comprehensive physical examination was performed on each participant, which included recording their medical history, performing an otoscopic examination, pure tone audiometry between 0.25 and 8 KHz, and speech audiometry using an Interacoustic AD629 audiometer (Interacoustic, Denmark). An Interacoustic AT235 (Interacoustic, Denmark) was used to measure tympanometry and ipsilateral acoustic reflexes.

In response to a tone burst (TB) at 1000 Hz with a 20-ms rise/fall time and a 50-ms plateau (20-50-20), CAEPs were recorded. An insert-phone ER-3A was used to present TB stimuli at a rate of 0.5 stimuli per second at 70dBSPL with alternate polarity. The low-pass filter was set at 100Hz, the high-pass filter at 1.0Hz 6/octave, and the gain factor was × 10,000. Two hundred sweeps were averaged and the rejection level was ±78 µv. The analysis window was −150ms before the stimulus and 450ms after it. In each recording session, subjects were instructed to perform some other active or passive foreground task in the visual domain. Four electrodes were used for recording CAEPs, based on the side being stimulated: M1 and M2 (mastoids) served as reference electrodes, Fpz (ground electrode), and Fz (active electrode). The electrode impedance was maintained below 5KΩ. The CAEP latency (ms) and the peak to following trough amplitude (µv) were measured. The Interacoustic Eclipse-EP25 AEPs (Interacoustic, Denmark) was used to record CAEPs.

A statistical analysis of the collected data was conducted using the Statistical Package for the Social Studies (SPSS) version 22 (2013). Since 2013, the United States of America’s International Business Machines Corporation (IBM) has been developing SPSS version 22. To describe quantitative data, the terms mean, SD, and median were used. Qualitative data are presented using formats such as numbers and percentages. The significance level was established at p ≤ 0.05. The Student t test was used to compare quantitative variables with normally distributed data between the two groups, while the Mann-Whitney test was used to compare variables with abnormally distributed data.

Results

This study was done between April 2020 and April 2022, where a total of 100 participants participated in this study: 16 males and 24 females, comprising the control group (n = 40), their mean age was 30.50 ± 7.55 years. The study group included 30 males and 30 females (n = 60), and their mean age was 31.62 ± 4.11 years. There was no significant difference between the two groups in either age or sex (p>0.05).

Only two patients (out of 60) in the study group had absent CAEP response and the rest of cases showed significant delayed latencies of P1, N1, and P2 components in comparison to the control group. In terms of CAEP amplitudes, the study group showed low P1 and N1 amplitudes, but they were statistically non-significant, while P2 amplitude was similar in both groups (Table 1).

Table 1 Comparison of CAEPs latencies and amplitudes between the control and the study groups

The study group was further divided into two subgroups: those with axonal and demyelinating PN (44 and 16 patients respectively). As regards the axonal PN subgroup, two cases (out of 44) had absent CAEPs. Meanwhile, the remaining cases showed significantly delayed latencies of P1, N1, and P2 components in comparison to the control group. In terms of CAEP amplitudes, both P1 and N1 components showed significantly reduced amplitude when compared to the control group (Fig. 1, Table 2).

Fig. 1
figure 1

Examples of CAEPs recorded in normal case (a), axonal PN case (b) and demyelinating PN case

Table 2 Comparison of CAEPs latencies and amplitudes between the control and Axonal PN groups

As regards the demyelinating PN subgroup, CAEPs were recorded in all cases where P1, N1, and P2 components had significantly delayed latencies in comparison to the control group. However, the CAEP amplitudes showed no statistically significant differences observed in comparison to the control group (Table 3).

Table 3 Comparison of CAEPs latencies and amplitudes between the control and demyelinating PN groups

Comparing the two subgroups revealed that the axonal PN group had significant delayed latencies of N1 and P2 components in comparison to the demyelinating PN group. However, no statistically significant differences were detected as regard the CAEP amplitudes (Table 4).

Table 4 Comparison of CAEP latencies and amplitudes between axonal PN and demyelinating PN groups

Discussion

Central auditory processing deficits in patients with peripheral neuropathy had been reported despite their apparent normal hearing. Slow conduction time or loss of neural synchrony that underlies slow reaction time and perceptual difficulties in challenging acoustic environments had been reported in those patients [16]. Patients with PN frequently have temporal processing deficits since diabetes mellitus and vascular abnormalities are so common [17]. It has been postulated that oxidative stress, inflammation, and dyslipidemia, among other things, may be shared pathogenic pathways with PN [18]. PN is associated with deterioration in temporal processing abilities in the presence of normal hearing detection levels regardless of diabetes status and vascular risk factors [19].

It would be great to hypothesize whether patients with PN will also display some degree of central nervous system (CNS) insult given the coexistence of central processing dysfunction in those patients [20]. The examination of the brain activity associated with sound detection, discrimination, and integration skills is made possible by the auditory evoked potentials, which allow the analysis of auditory information processing (such as memory and attention) [2]. The N1 component of the CAEPs can serve as an indicator for the auditory activity involved in acoustic properties decoding, while the P2 component can be utilized to measure discrimination abilities [21].

The P1 and N1 peak latencies of the CAEPs can be used as specific neurophysiological indicators of the time required by the auditory cortex to process information. The peak latency of P1 or N1 therefore represents the moment at which a particular set of neurons supporting a particular phase of processing in the auditory system are active in a functionally interconnected network [22].

In this study, CAEPs were absent in two cases of the study group. In the remaining cases, P1, N1, and P2 latencies were significantly delayed when compared to those recorded in the control group. This could be the result of the delayed synchronous firing necessary for the acoustic feature perception to occur which is followed by temporal processing delay [6]. This result suggests that these factors are affected by the participant’s level of attention on the presented stimulus. It also shows that the sound discrimination process needs more time in patients with PN [23].

In terms of CAEP amplitudes, there were no statistically significant differences of P1, N1, and P2 amplitudes between both groups. Similar findings were reported by Oliveira and colleagues [7]. Additionally, some researchers (Ex. Lai and colleagues [24]) found no significant variations in P2 amplitude between healthy persons and people with mild auditory processing impairment. On the contrary, Lister and colleagues [25] observed that those patients had higher P1 amplitudes. More recently, Mello [26] found that both aging and impaired auditory processing contribute to an increase in the amplitude of evoked potentials as a results of their impact on the cortical and subcortical processes. This discovery revealed the aging might have widespread alterations in the auditory system.

In another study, Lister and colleagues [8] reported a reduction of P2 amplitudes that might reflect additional adjustments to the suppression of neuronal resources in people with impaired auditory processing. Such reduction could also be attributed to deficiency of the available brain resources needed to carry out temporal tasks. In other words, those patients might have brain resources that moved to be utilized in a different region [8].

These contradictory results may suggest that latencies should be added to amplitude in order to provide a more precise assessment of central auditory functions and that amplitude should not be utilized alone as a diagnostic measure for such a purpose. These results suggest that the latencies P1-N1-P2 components of the CAEPs may be valuable markers of early impaired auditory processing, whereas amplitude alterations should be carefully considered in such circumstances [8].

The study group was divided into two subgroups: those with axonal PN and those with demyelinating PN. Both demyelination (the breakdown of the myelin sheath) and axonal degeneration (the destruction of the axon) are examples of neuropathy, which affects the neurons [27].

Using the CAEPs in attempts for differentiating between axonal and demyelinating disease is frequently ambiguous [27] which was true in the current study but not always. As regards the axonal PN subgroup, there were significant delayed latencies of P1, N1, and P2 components in comparison to the control group. In terms of CAEP amplitudes, P1 and N1 components showed significantly reduced amplitude when compared to the control group. On the other hand, the demyelinating PN subgroup showed significant delayed latencies of P1, N1, and P2 components when compared to the control group. These findings of affected latencies and amplitudes in axonal PN in comparison to affected latencies only in demyelinating PN could be explained by axonal loss which is the major outcome of almost all polyneuropathies. Meanwhile, demyelination is typically a subsequent event that is rarely identified as the main pathogenic mechanism in polyneuropathies [28].

Additionally, the findings in clinical presentation can explain that axonal PN group is more affected than demyelinating PN as revealed by our CAEP findings [29]. However, electrophysiological findings revealed that axonal PN often manifests as a decline in the amplitudes of sensory nerve action potentials and compound muscle action potentials (CMAP) and only a mild decrease in conduction velocity. On the other hand, more reduction in motor and sensory nerve conduction velocities, increased temporal CMAP dispersion, and increased distal motor latencies are all indicative of demyelinating PN [30]. These findings make differentiating between axonal and demyelinating disease frequently difficult.

The demyelinating lesions are usually limited either to the CNS or to the peripheral nervous system. It is uncommon for both central and peripheral demyelination to occur at the same time. In some patients, PN and CNS involvement happened at the same time or very quickly after [31].

Conclusion

Before any neurological symptoms manifest, subclinical impaired auditory processing can be identified early with cortical auditory evoked potentials. With regard to central auditory processing function, CAEP latencies can be employed alone or in conjunction with amplitudes; however, CAEP latencies are more significant than amplitudes for such purpose. Both demyelinating and axonal PN affect central auditory processing functions; however, axonal PN patients are more likely to be affected, suggesting that axonal PN has a significantly drastic effect on the central nervous system.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AEPs:

Auditory evoked potentials

CAEPs:

Cortical AEPs

CANS:

Central auditory nervous system

CMAP:

Compound muscle action potentials

CNS:

Central nervous system

CV:

Conduction velocity

dBSPL:

deciBel Sound Pressure Level

Fpz:

Prefrontal midline (high forehead)

Fz:

Frontal midline

Hz:

Hertz

IBM:

International Business Machines Corporation

M1:

Left mastoid

M2:

Right mastoid

N:

Negative

NCS:

Nerve conduction studies

P:

Positive

PN:

Peripheral neuropathy

USA:

United States of America

SD:

Standard deviation

SPSS:

Statistical Package for the Social Studies

TB:

Tone burst

References

  1. Van der Westhuizen N, Biagio-de Jager L, Rheeder P (2020) P300 event-related potentials in normal-hearing adults with type 2 diabetes mellitus. Am J Audiol 29(2):120–128. https://doi.org/10.1044/2019_AJA-19-00095

    Article  PubMed  Google Scholar 

  2. Didoné DD, Garcia MV, Oppitz SJ, Silva TF, Santos SN, Bruno RS et al (2016) Auditory evoked potential P300 in adults: reference values. Einstein (Sao Paulo, Brazil) 14(2):208–212. https://doi.org/10.1590/S1679-45082016AO3586

    Article  PubMed  Google Scholar 

  3. Mei L, Liu LM, Chen K, Zhao HB (2021) Early functional and cognitive declines measured by auditory-evoked cortical potentials in mice With Alzheimer’s disease. Front Aging Neurosci 13:710317. https://doi.org/10.3389/fnagi.2021.710317

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Leiser SC, Dunlop J, Bowlby MR, Devilbiss DM (2011) Aligning strategies for using EEG as a surrogate biomarker: a review of preclinical and clinical research. Biochem Pharmacol 81(12):1408–1421. https://doi.org/10.1016/j.bcp.2010.10.002

    Article  CAS  PubMed  Google Scholar 

  5. Costa I, D’Agostini AR, Sousa JA, Souza APRD, Biaggio EPV (2020) Cortical auditory evoked potentials in 2-year-old subjects. Int Arch Otorhinolaryngol 24(3):e282–e287. https://doi.org/10.1055/s-0039-1700585

    Article  PubMed  Google Scholar 

  6. Grose JH, Buss E, Porter HL, Hall JW 3rd (2013) Across-frequency envelope correlation discrimination and masked signal detection. J Acoust Soc Am 134(2):1205–1214. https://doi.org/10.1121/1.4812256

    Article  PubMed  PubMed Central  Google Scholar 

  7. Oliveira M, Menezes PL, Carnaúba A, Pereira LD, Andrade K, Frizzo A et al (2021) Cognitive performance and long-latency auditory evoked potentials: a study on aging. Clinics (Sao Paulo, Brazil) 76:e1567. https://doi.org/10.6061/clinics/2021/e1567

    Article  PubMed  Google Scholar 

  8. Lister JJ, Harrison Bush AL, Andel R, Matthews C, Morgan D, Edwards JD (2016) Cortical auditory evoked responses of older adults with and without probable mild cognitive impairment. Clin Neurophysiol 127(2):1279–1287

    Article  PubMed  Google Scholar 

  9. Campanella S (2013) Why it is time to develop the use of cognitive event-related potentials in the treatment of psychiatric diseases. Neuropsychiatr Dis Treat 9:1835–1845. https://doi.org/10.2147/NDT.S53687

    Article  PubMed  PubMed Central  Google Scholar 

  10. Jones MR, Urits I, Wolf J, Corrigan D, Colburn L, Peterson E et al (2020) Drug-induced peripheral neuropathy: a narrative review. Curr Clin Pharmacol 15(1):38–48

    PubMed  PubMed Central  Google Scholar 

  11. Gates GA, Anderson ML, McCurry SM, Feeney MP, Larson EB (2011) Central auditory dysfunction as a harbinger of Alzheimer dementia. Arch Otolaryngol-HeadNeck Surg 137(4):390–395

    Article  Google Scholar 

  12. Green S, Holton A (2016) Drug-induced peripheral neuropathy. Adverse Drug React Bull 300(1):1159–1162. https://doi.org/10.1097/FAD.0000000000000020

    Article  Google Scholar 

  13. Hamed SA, Abd Elaal RF, Mohamad KA, Youssef AH, Abdou MA (2012) Neuropsychological, neurophysiological and laboratory markers of direct brain injury in type 2 diabetes mellitus. J Neurol Neurosci 3(1):2

    Google Scholar 

  14. Zang Y, Jiang D, Zhuang X, Chen S (2023) Changes in the central nervous system in diabetic neuropathy. Heliyon 9(8):e18368. https://doi.org/10.1016/j.heliyon.2023.e18368. (PMID:37609411;PMCID:PMC10440454)

    Article  PubMed  PubMed Central  Google Scholar 

  15. Pop-Busui R, Boulton AJ, Feldman EL, Bril V, Freeman R, Malik RA et al (2017) Diabetic neuropathy: a position statement by the American Diabetes Association. Diabetes Care 40(1):136–154. https://doi.org/10.2337/dc16-2042

    Article  CAS  PubMed  Google Scholar 

  16. Silva BCS, Mantello EB, Freitas MCF et al (2017) Speech perception performance of subjects with type I diabetes mellitus in noise. Braz J Otorhinolaryngol 83:574–579. https://doi.org/10.1016/j.bjorl.2016.07.003

    Article  PubMed  Google Scholar 

  17. Hutchinson AD, Hosking JR, Kichenadasse G, Mattiske JK, Wilson C (2012) Objective and subjective cognitive impairment following chemotherapy for cancer: a systematic review. Cancer Treat Rev 38(7):926–934. https://doi.org/10.1016/j.ctrv.2012.05.002

    Article  PubMed  Google Scholar 

  18. Umegaki H, Kawamura T, Umemura T, Kawano N (2015) Factors associated with cognitive decline in older adults with type 2 diabetes mellitus during a 6-year observation. Geriatr Gerontol Int 15(3):302–310. https://doi.org/10.1111/ggi.12273

    Article  PubMed  Google Scholar 

  19. Rance G, Chisari D, O’Hare F et al (2014) Auditory neuropathy in individuals with Type 1 diabetes. J Neurol 261:1531–1536. https://doi.org/10.1007/s00415-014-7371-2

    Article  PubMed  Google Scholar 

  20. Moreira RO, Soldera AL, Cury B, Meireles C, Kupfer R (2015) Is cognitive impairment associated with the presence and severity of peripheral neuropathy in patients with type 2 diabetes mellitus? Diabetol Metab Syndr 7:51. https://doi.org/10.1186/s13098-015-0045-0

    Article  PubMed  PubMed Central  Google Scholar 

  21. Paulraj MP, Subramaniam K, Yaccob SB, Adom AHB, Hema CR (2015) Auditory evoked potential response and hearing loss: a review. Open Biomed Eng J 9:17–24

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Itoh K, Konoike N, Nejime M, Iwaoki H, Igarashi H, Hirata S et al (2022) Cerebral cortical processing time is elongated in human brain evolution. Sci Rep 12(1):1103. https://doi.org/10.1038/s41598-022-05053-w

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Alain C, Snyder JS (2008) Age-related differences in auditory evoked responses during rapid perceptual learning. Clin Neurophysiol 119(2):356–366

    Article  PubMed  Google Scholar 

  24. Lai CL, Lin RT, Liou LM, Liu CK (2010) The role of event-related potentials in cognitive decline in Alzheimer’s disease. Clin Neurophysiol 121(2):194–199

    Article  PubMed  Google Scholar 

  25. Lister JJ, Maxfield ND, Pitt GJ, Gonzalez VB (2011) Auditory evoked response to gaps in noise: older adults. Int J Audiol 50(4):211–225. https://doi.org/10.3109/14992027.2010.526967

    Article  PubMed  PubMed Central  Google Scholar 

  26. Mello JGD. (2019). Speech in verbal noise and spatial release from masking: relationship with aging, cognition and electrophysiology.‏ São Paulo: Paulista School of Medicine

  27. van Doorn PA (2007) Guideline on polyneuropathy. Nederlands tijdschrift voor geneeskunde 151(28):1566–1573

    PubMed  Google Scholar 

  28. Tankisi H, Pugdahl K, Johnsen B, Fuglsang-Frederiksen A (2007) Correlations of nerve conduction measures in axonal and demyelinating polyneuropathies. Clin Neurophysiol 118(11):2383–2392. https://doi.org/10.1016/j.clinph.2007.07.027

    Article  PubMed  Google Scholar 

  29. Hanewinckel R, Ikram MA, Van Doorn PA (2016) Peripheral neuropathies. Handbook Clin Neurol 138:263–282. https://doi.org/10.1016/B978-0-12-802973-2.00015-X

    Article  CAS  Google Scholar 

  30. Preston DC, & Shapiro BE. (2012). Electromyography and neuromuscular disorders e-book: clinical-electrophysiologic correlations (Expert Consult-Online). Elsevier Health Sci. 664

  31. Cortese A, Franciotta D, Alfonsi E, Visigalli N, Zardini E, Diamanti L et al (2016) Combined central and peripheral demyelination: clinical features, diagnostic findings, and treatment. J Neurol Sci 363:182–187. https://doi.org/10.1016/j.jns.2016.02.022

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

My special thanks to all the staff in Audiovestibular unit and the volunteers.

Funding

No funding was received for conducting this study.

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Authors

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MM, AI and TG conceived and designed the analysis, collected the data, performed the analysis and wrote the paper.TH and SR collected the data.

Corresponding author

Correspondence to Takwa A. Gabr.

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Ethics approval and consent to participate

This study is approved by the Scientific Research Ethics Committee of Kafrelsheikh University on 8th of April 2020 under the number KFSIRB200-2. Each study participant was given information about the testing procedure before their signed consent was acquired.

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Written informed consent was obtained from the study participants.

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The authors declare that they have no competing interests.

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Mejahed, M., Ibrahim, A.M., Haydara, T. et al. Cortical auditory evoked potentials in peripheral neuropathy. Egypt J Otolaryngol 40, 93 (2024). https://doi.org/10.1186/s43163-024-00600-w

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