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Auditory Evoked Potentials

Auditory Evoked Potentials are electrical responses generated by the auditory system in response to sound stimuli.
These potentials provide valuable insights into the function and integrity of the auditory pathway, from the cochlea to the auditory cortex.
They are widely used in clinical and research settings to assess hearing, diagnose auditory disorders, and study the neurophysiology of sound processing.
PubCompare.ai's AI-driven platform can help streamline your Auditory Evoked Potentials research by effortlessly locating the best protocols from literature, pre-prints, and patents, allowing you to optimize your research protocols and find the most effective solutions.

Most cited protocols related to «Auditory Evoked Potentials»

1
Resting-State fMRI Preprocessing Workflow

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Publication 2019
Auditory Evoked Potentials Brain Cuboid Bone derivatives Gray Matter Heart Ventricle Human Body Movement Muscle Rigidity Neoplasm Metastasis Reading Frames White Matter
2
Auditory Threshold Evaluation in Rodents
Auditory threshold in ND and ED rats was defined as the stimulus intensity in dB that evoked peak–to–peak waves amplitudes greater than two standard deviations (SD) from background activity (Cediel et al., 2006 (link); Garcia-Pino et al., 2009 (link); Alvarado et al., 2012 (link), 2014 (link), 2016 (link); Fuentes-Santamaría et al., 2012 (link), 2013 (link), 2014 (link), 2017 (link); Melgar-Rojas et al., 2015a (link)). Evoked responses were recorded from 80 dB sound pressure level (SPL) in 5 dB descending steps, while background activity was defined as the basal activity recorded prior stimulus onset. During recordings, the maximum level of intensity was set at 80 dB to minimize any possible additional noise overstimulation (Gourévitch et al., 2009 (link); Alvarado et al., 2012 (link), 2014 (link), 2016 (link); Fuentes-Santamaría et al., 2012 (link), 2013 (link), 2014 (link), 2017 (link); Melgar-Rojas et al., 2015a (link)). For statistical purposes, in any frequency where no auditory evoked responses were obtained at 80 dB, the auditory threshold was set at that intensity level (Subramaniam et al., 1992 (link); Trowe et al., 2008 (link); Alvarado et al., 2012 (link), 2014 (link), 2016 (link); Fuentes-Santamaría et al., 2012 (link), 2013 (link), 2014 (link), 2017 (link); Melgar-Rojas et al., 2015a (link)).
The threshold shift in both ND and ED animals was determined as the differences between the time points: 6–8M and 12–14M, minus the auditory thresholds at 3M (Alvarado et al., 2012 (link), 2014 (link), 2016 (link); Fuentes-Santamaría et al., 2012 (link), 2013 (link), 2014 (link); Melgar-Rojas et al., 2015a (link)).
The percentage of variation of the threshold shift was calculated using the following formula (Meredith and Stein, 1983 (link); Alvarado et al., 2007a (link),b (link), 2009 (link), 2016 (link); Fuentes-Santamaría et al., 2017 (link)):
Where ATTP is the auditory threshold in the time-points 6–8M and 12–14M, and ATCC is the auditory threshold at 3M (control condition).
Alvarado J.C., Fuentes-Santamaría V., Gabaldón-Ull M.C, & Juiz J.M. (2018). An Oral Combination of Vitamins A, C, E, and Mg++ Improves Auditory Thresholds in Age-Related Hearing Loss. Frontiers in Neuroscience, 12, 527.
Publication 2018
Animals Auditory Evoked Potentials Pressure Rattus norvegicus Sound
3
Attention-Modulated Auditory Perception EEG

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Publication 2014
Attention Auditory Evoked Potentials Auditory Perception EPOCH protocol Evoked Potentials Process, Mastoid Scalp Strains Vision
4
Comprehensive Neurodevelopmental Evaluation of INTERGROWTH-21st Cohort
All eligible children in five of the eight INTERGROWTH-21st Project study sites (the cities of Pelotas (Brazil); Turin (Italy); Oxford (UK); Nagpur (India) and the Parklands suburb of Nairobi (Kenya)), who had contributed data towards the construction of the international Fetal Growth and Newborn Growth Standards,12 13 (link) were invited to attend a comprehensive neurodevelopmental evaluation at the time of their second birthday. This age was selected as it was found to be the earliest at which: (1) neurodevelopment is not confounded by transient neurological syndromes of prematurity and (2) conventionally used developmental instruments, such as the Bayley Scales of Infant Development (BSID), have been found to possess an acceptable level of medium and long-term predictive validity.14 The sites in China, Oman and the USA did not participate because of logistical and administrative reasons, delays in the start of the study and/or staff availability, all unrelated to the IFS’ main hypotheses (a comparison in the demographics, and health and growth outcomes between these sites has already been published).11 (link)
The evaluation consisted of (in order of administration): an assessment of vision (the Cardiff tests) an assessment of cognition, motor skills, language skills and behaviour (the INTER-NDA); caregiver reports of attentional problems and emotional reactivity (the corresponding subscales of the preschool Child Behaviour Checklist; CBCL); measurement of cortical auditory processing (to a novelty odd-ball paradigm on a wireless, gel-free electroencephalography system); measurement of infant sleep (using actigraphy) and an assessment of gross motor milestones (based on the WHO’s checklist). Despite measuring cortical auditory processing and sleep in our cohort, a description of the methods and results relating to these technically complex outcomes are beyond the scope of this paper. Moreover, as normative values for cortical auditory evoked response potentials and actigraphy data do not exist for children aged 2 years, the added value of these measures in confirming the healthy and well-nourished status of the cohort is uncertain. Information on the child’s health and nutritional status, and anthropometric measurements (weight, length and head circumference), were also collected, at the 2 year visit, according to the INTERGROWTH-21st Project protocols.
A specially designed training programme for the neurodevelopmental evaluation was implemented at all sites between 2012 and 2013.15 (link) Staff administering the assessments were aware of the project’s general principles but not the specific hypotheses being tested. They were also unaware of individual children’s scores from their own and other study sites.
Fernandes M., Villar J., Stein A., Staines Urias E., Garza C., Victora C.G., Barros F.C., Bertino E., Purwar M., Carvalho M., Giuliani F., Wulff K., Abubakar A.A., Kihara M., Cheikh Ismail L., Aranzeta L., Albernaz E., Kunnawar N., Di Nicola P., Ochieng R., Sandells T., Savini S., Temple S., Murray E., Ohuma E.O., Gravett M.G., Pang R., Jaffer Y.A., Noble J.A., Winsey A., Lambert A., Papageorghiou A.T., Bhutta Z, & Kennedy S. (2020). INTERGROWTH-21st Project international INTER-NDA standards for child development at 2 years of age: an international prospective population-based study. BMJ Open, 10(6), e035258.
Publication 2020
Actigraphy Attention Auditory Area Auditory Evoked Potentials Child Child, Preschool Children's Health Cognition Cortex, Cerebral Electroencephalography Emotions Fetal Growth Head Infant Infant, Newborn Infant Development Motor Skills Polysomnography Premature Birth Sleep Syndrome Training Programs Transients Vision
5
EEG Data Processing and Analysis of Auditory Evoked Potentials
EEG data were processed and analyzed offline using custom scripts that included functions from the EEGLAB Toolbox25 (link) for MATLAB (the MathWorks, Natick, MA, USA). EEG data were initially high-pass filtered using a Chebyshev Type II filter with a bandpass set at 1–40 Hz. Continuous EEG data were passed through a channel rejection algorithm, which identified bad channels using measures of standard deviation and covariance with neighboring channels. Rejected channels were interpolated using the EEGLAB spherical interpolation. Data were then divided into epochs that started 100 ms before the presentation of each tone and extended to 800 ms post stimulus onset. Bad trials containing severe movement artifacts or particularly noisy events were rejected if voltages exceeding ±150 μV, followed by a threshold set at two standard deviations over the mean of the maximum values for each epoch (the largest absolute value recorded in the first 500 ms of a given epoch, across all channels for each trial in each condition). The number of accepted trails for each condition and group is presented in supplementary figure 2. All epochs were then baseline corrected to the 100 ms pre-stimulus interval. The epochs were next averaged as a function of stimulus condition to yield the auditory evoked potential to the standard and to the deviant tone. To maximize the ERP at fronto-central sites, the data were referenced to TP7, or TP8 if TP7 was a noisy channel in a given participant. This approach takes advantage of the inversion of the MMN that is seen between fronto-central and inferior temporo-parietal sites26 (link)–28 (link).
The window for measurement of the MMN was calculated by subtracting the grand mean ERP to deviant tones from the grand mean ERP to standard tones. The resulting distribution of activity showed maximal difference at ~225 ms (Fig. 2a–c). We then defined a time window of 10 ms centered around 225 ms (i.e. 220–230 ms) to obtain average MMN amplitudes for each individual for each SOA. Composite averages generated from FC3, FCz, and FC4 scalp electrodes were used for further statistical analysis.
Brima T., Molholm S., Molloy C.J., Sysoeva O.V., Nicholas E., Djukic A., Freedman E.G, & Foxe J.J. (2019). Auditory sensory memory span for duration is severely curtailed in females with Rett syndrome. Translational Psychiatry, 9, 130.
Publication 2019
Auditory Evoked Potentials Distributional Activities EPOCH protocol Inversion, Chromosome Movement Scalp Tandem Mass Spectrometry TNFSF10 protein, human Vision

Most recents protocols related to «Auditory Evoked Potentials»

1
Auditory-Visual Speech Asynchrony Effects

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Publication 2023
Atrioventricular Block Auditory Evoked Potentials Auditory Perception Brain EPOCH protocol Precipitating Factors Reading Frames Sound Speech Tandem Mass Spectrometry
2
Electric Stimuli for Auditory Brainstem Responses
The electrical stimuli used to examine the animals’ electrically evoked auditory brainstem responses (eABRs), and the behavioral ITD sensitivity were generated using a Tucker-Davis Technology (TDT, Alachua, FL) IZ2MH programmable constant current stimulator at a sample rate of 48,828.125 Hz. The most apical ring of the CI electrode served as stimulating electrode, the next ring as ground electrode. All electrical intracochlear stimulation used biphasic current pulses similar to those used in clinical devices (duty cycle: 40.96 µs positive, 40.96 µs at zero, 40.96 µs negative), with peak amplitudes of up to 300 μA, depending on eABR thresholds and informally assessed behavioral comfort levels (rats will scratch their ears frequently, startle or show other signs of discomfort if stimuli are too intense). For behavioral training, we stimulated all neonatally deafened, cochlear implanted (NDCI) rats 2–6 dB above these thresholds depending on the pulse rate. Behavioral stimuli from the TDT IZ2MH were delivered directly to the animal through a custom built head connector that was connected and disconnected before and after each training session. As before, animals received binaurally synchronized input from the first stimulation. For full details on the electric stimuli and stimulation setup see11 (link).
Buck A.N., Buchholz S., Schnupp J.W, & Rosskothen-Kuhl N. (2023). Interaural time difference sensitivity under binaural cochlear implant stimulation persists at high pulse rates up to 900 pps. Scientific Reports, 13, 3785.
Publication 2023
Animals Auditory Evoked Potentials Brain Stem Ear Electricity Head Hypersensitivity Medical Devices Pulse Rate Rattus Stimulations, Electric
3
Cochlear Implant Outcomes in Pediatric Sensorineural Hearing Loss
Forty children (21 males, mean age  ±  standard deviation (SD): 5.09  ±  3.79
years old) with sensorineural hearing loss who received their first CI in our
hospital from September 2018 to June 2020 were included in this study. These
children were right-handed according to an assessment with the Edinburgh
Handedness Inventory (Oldfield, 1971 (link)). They started to use hearing aids at a mean age of
2.30  ±  1.21 years old, and had used hearing aids with a mean duration of
2.79  ±  3.26 years and for at least 4 h per day in their daily life. These
children had auditory responses to environmental sounds during the initial
period of hearing aid fitting. To confirm the effectiveness of hearing aid
fitting in the daily life, their auditory performance was reexamined by the
Meaningful Auditory Integration Scale (MAIS) and Categories of Auditory
Performance (CAP) at least every 8 months. The MAIS includes 10 questions
reflecting children's confidence in hearing devices, auditory sensitivity and
ability to connect sounds with meaning. The highest score is 40 and indicates
the best performance for meaningful sound use in everyday situations. The CAP is
an eight-score hierarchical scale that evaluates receptive auditory abilities
and ranges from no awareness of environmental sounds (1 score) to telephone use
with a familiar talker (8 scores). When hearing aid outcomes were poor and the
ABR thresholds estimated by the click and 500-Hz tone burst were above 90 dB
nHL, the hearing-impaired child received a CI. Before the CI surgery, the ABR,
40-Hz auditory evoked potential, multi-frequency steady state potential (MFSSP),
distortion product otoacoustic emission (DPOAE) and acoustic impedance had been
performed to confirm profound sensorineural hearing loss (hearing threshold ≥90
dB nHL). The 40-Hz auditory evoked potential (Lynn et al., 1984 (link)) and MFSSP (Johnson & Brown,
2005) tests were performed for hearing threshold estimation using the
500-Hz tone burst and sinusoidally amplitude modulated tones (1, 2 and 4 kHz),
respectively. Only 24 children finished the pure-tone audiometry and their
unaided pure tone averages (averaged over 0.25, 0.5, 1, 2, 4 and 8 kHz) were
above 90 dB HL. Participants who had a mental disability, intracranial lesions
or head trauma were excluded from this study. Of children in our study, 20 had
IEMs assessed by computerized tomography (CT) and magnetic resonance imaging
(MRI) according to previously published criteria (Sennaroglu & Bajin, 2017 (link)).
Detailed information for all children is provided in Table 1. All procedures performed in
this study involving human participants were in accordance with the ethical
standards of the institutional and/or national research committee and with the
1964 Helsinki declaration and its later amendments or comparable ethical
standards. The protocols and experimental procedures in the present study were
reviewed and approved by the Anhui Provincial Hospital Ethics Committee. Each
participant's guardians provided written informed consent.
Chen L., Zhang J.G., Zhu H.Y., Hou X.Y., Tang Z.Q., Sun J.W., Sun J.Q, & Guo X.T. (2023). Electrically Evoked Auditory Brainstem Responses in Children Fitted with Hearing Aids Prior to Cochlear Implantation. Trends in Hearing, 27, 23312165221148846.
Publication 2023
Acoustics Adult Audiometry, Pure-Tone Auditory Evoked Potentials Awareness Child Craniocerebral Trauma Disabled Persons Ethics Committees, Clinical Hearing Aids Homo sapiens Hypersensitivity Legal Guardians Males Meaningful Use Medical Devices Mycobacterium avium Complex Only Child Operative Surgical Procedures Otoacoustic Emissions, Spontaneous Sensorineural Hearing Loss Sound X-Ray Computed Tomography
4
Auditory Evoked Potential Analysis in Post-Cardiac Arrest Patients
Auditory evoked potential obtained with standard and deviant auditory stimulations were exported in the European Data Format (EDF), which is a simple and flexible format for storage of multichannel biological and physical signals, then anonymized through a specific software we designed. Analyses were performed on all four active electrodes then on one single Cz (central) electrode in order to see if we could obtain similar results with a simplified electrodes setting. To quantify the auditory evoked responses recorded from post CA patients in the intensive care unit, we studied separately standard and deviant responses (Figure 1), which is a novel and different paradigm compared to the classical MMN. We took into account the total 20 min extracted data, instead of the short interval response occurring in [100–300] ms following auditory stimulation. We filtered the signal in the [0.5–50] Hz band. Finally, all standard and deviant stimulations were averaged leading to a response in the time interval [0−1000]ms,[0−−500ms], and [0–320 ms], without difference in the analysis of the time intervals. To note, there was no difference either in the responses when they were computed in the interval [20–320 ms] that still contained the relevant information. Therefore, we converged to compute all statistics over a time window of [20–320] for all sounds, and results are presented in this interval.
We first focused on the ERP responses to standard periodic auditory stimuli, every 1s. We filtered the time series X(t) using a Butterworth bandpass filter (n = 4) in the frequency range 0.5–50 Hz and obtained the output Xf(t). Finally, we averaged the signal in the time interval[0−1]s, ensuring that auditory stimuli were produced at time t = nT (T = 1s) leading to the response
where N is the number of periods (typically of the order 103). This preliminary procedure therefore allowed obtaining an average response Xp that highlights any possible deterministic feature present in the response. We applied a similar averaging procedure for deviant stimuli (see below and Figure 1).
Floyrac A., Doumergue A., Legriel S., Deye N., Megarbane B., Richard A., Meppiel E., Masmoudi S., Lozeron P., Vicaut E., Kubis N, & Holcman D. (2023). Predicting neurological outcome after cardiac arrest by combining computational parameters extracted from standard and deviant responses from auditory evoked potentials. Frontiers in Neuroscience, 17, 988394.
Publication 2023
Acoustic Stimulation Auditory Evoked Potentials Auditory Perception Biopharmaceuticals Europeans Physical Examination Sound
5
Vestibular Evoked Myogenic Potential (VEMP) Assessment
The Biologic Navigator Pro Auditory Evoked Potential (Biologic Auditory Evoked Potential Software Ver.7.3.1, Denmark) was used to perform the test. The reference electrode was placed between the clavicular joints, the ground electrode was placed between the two eyebrows of the forehead, and the left and right test electrodes were placed in the middle of the sternocleidomastoid muscle on the left and right sides, respectively, with an electrode impedance of ≤ 5 kΩ. The stimulation signal was 500 Hz, with 90 dB nHL short tone bursts, 1 ms rise/fall time, 2 ms duration at peak, 5 Hz stimulation rate, and 50 superimposed times. The stimulation sound was delivered using air conduction insert earphones to elicit a VEMP response. The patient was instructed to lift the head off the pillow after hearing the unilateral stimulation sound and to elevate the head 30° in the supine position to keep the sternocleidomastoid muscle tense until the stimulation sound stopped, before returning to the original lying position.
Yang Y., Gao D., Ma X., Shen J., Zhang Q., Chen X., Zhang Q., Jin Y., Chen J., Duan M, & Yang J. (2023). Abnormal posterior semicircular canal function may predict poor prognosis in patients with severe and profound ISSNHL. Frontiers in Neurology, 14, 1123165.
Publication 2023
Acoustic Stimulation Auditory Evoked Potentials Biopharmaceuticals Clavicle Electric Conductivity Eyebrows Forehead Head Joints Muscle Tissue Patients Sound

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More about "Auditory Evoked Potentials"

Auditory Evoked Potentials (AEPs), also known as Auditory Evoked Responses (AERs) or Auditory Brainstem Responses (ABRs), are electrical signals generated by the auditory system in response to sound stimuli.
These physiological measurements provide valuable insights into the functioning and integrity of the auditory pathway, from the cochlea to the auditory cortex.
AEPs are widely used in both clinical and research settings to assess hearing, diagnose auditory disorders, and study the neurophysiology of sound processing.
The TDT System 3, a well-established platform for auditory research, is often utilized in AEP studies.
This system, along with a sound attenuation chamber, allows for precise control and delivery of auditory stimuli.
The Auditory Evoked Potentials Workstation and the RZ6-based auditory workstation are other specialized tools that facilitate AEP data acquisition and analysis.
In addition, the TDS 1002B oscilloscope and the ER-10C probe microphone can be employed to monitor and record the electrical responses and sound pressure levels during AEP experiments.
The BioSigRP software and the Neurofax EEG 9000 system are also commonly used for data processing and analysis of AEPs.
Anesthetic agents, such as Avertin, may be used in animal studies to ensure the comfort and safety of the subjects during AEP recordings.
The Nicolet Viking Select system is another tool that can be utilized for clinical assessments of auditory function through AEP measurements.
By leveraging the insights gained from AEP studies and the various tools and technologies available, researchers and clinicians can optimize their investigations, streamline their workflows, and ultimately enhance our understanding of the auditory system and improve the diagnosis and treatment of hearing-related disorders.