ArticleMethodsX2023
Auditory brainstem response (ABR) waveform analysis program.
Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
10 citing papers in PubMed.
- Differences in hearing across the lifespan in two strains of Alzheimer's mouse models as measured using behavioral and physiological techniques.Hearing research · 2026Article
- An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).Scientific reports · 2026Article
- Increased vulnerability to noise exposure of low spontaneous rate type 1C spiral ganglion neuron synapses with inner hair cells.Hearing research · 2026Article
- An Open-Source Deep Learning-Based Toolbox for Automated Auditory Brainstem Response Analyses (ABRA).bioRxiv : the preprint server for biology · 2025Article
- Article
- Rapid sensorimotor adaptation to auditory midbrain silencing in free-flying bats.Current biology : CB · 2024Article
- Resistance to age-related hearing loss in the echolocating big brown bat (Proceedings. Biological sciences · 2024Article
- Echolocating bats show species-specific variation in susceptibility to acoustic forward masking.The Journal of the Acoustical Society of America · 2024Article
- Auditory brainstem response audiometry in tauopathy mouse model of human Alzheimer's disease.JASA express letters · 2024Article
- Alpha9alpha10 knockout mice show altered physiological and behavioral responses to signals in masking noise.The Journal of the Acoustical Society of America · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Auditory brainstem responses (ABR) are a high-throughput assessment of auditory function. Many studies determine changes to the threshold at frequencies that span the normal hearing range of their test subjects, but fewer studies evaluate changes in waveform morphology. The goal of developing this program was to make a user-friendly semiautomatic peak-detection algorithm to encourage widespread analysis of the amplitudes and latencies of the ABR, which may yield informative details about the integrity of the auditory system with development, aging, genetic manipulations, or damaging conditions. This method incorporates automated peak detection with manual override and inter-rater validation to calculate the amplitude and latency for waves 1-5, as well as interpeak latencies and amplitude ratios between waves. The output includes raw data and calculations in a format compatible with graphical and statistical software.•The method yields a high-throughput peak-detection algorithm with manual override and inter-rater capabilities to streamline ABR waveform analysis.•Data output includes amplitudes, latencies, amplitude ratios, and interpeak latencies for generation of input-output curves.•While complete automation of peak detection with this tool is dependent on good signal-to-noise ratios, relevant amplitude and latency calculations are fully automated, and manual spot-checking is simplified to significantly reduce the time to analyze waveforms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.