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Quantitative Threshold Determination of Auditory Brainstem Responses in Mouse Models.

Kenji TanakaShuma OharaTadaaki MatsuzakaAira MatsugakiTakuya IshimotoRyosuke OzasaYukiko KurodaKoichi MatsuoTakayoshi Nakano
Published in: International journal of molecular sciences (2023)
The auditory brainstem response (ABR) is a scalp recording of potentials produced by sound stimulation, and is commonly used as an indicator of auditory function. However, the ABR threshold, which is the lowest audible sound pressure, cannot be objectively determined since it is determined visually using a measurer, and this has been a problem for several decades. Although various algorithms have been developed to objectively determine ABR thresholds, they remain lacking in terms of accuracy, efficiency, and convenience. Accordingly, we proposed an improved algorithm based on the mutual covariance at adjacent sound pressure levels. An ideal ABR waveform with clearly defined waves I-V was created; moreover, using this waveform as a standard template, the experimentally obtained ABR waveform was inspected for disturbances based on mutual covariance. The ABR testing was repeated if the value was below the established cross-covariance reference value. Our proposed method allowed more efficient objective determination of ABR thresholds and a smaller burden on experimental animals.
Keyphrases
  • machine learning
  • working memory
  • physical activity
  • deep learning
  • hearing loss
  • molecularly imprinted
  • mouse model
  • high resolution
  • liquid chromatography