Addressing variability in the acoustic startle reflex for accurate gap detection assessment

The acoustic startle reflex (ASR) is subject to substantial variability. This inherent variability consequently shapes the conclusions drawn from gap-induced prepulse inhibition of the acoustic startle reflex (GPIAS) assessments. Recent studies have cast doubt as to the efficacy of this methodology...

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Published inHearing research Vol. 363; pp. 119 - 135
Main Authors Longenecker, Ryan J., Kristaponyte, Inga, Nelson, Gregg L., Young, Jesse W., Galazyuk, Alexander V.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.06.2018
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ISSN0378-5955
1878-5891
1878-5891
DOI10.1016/j.heares.2018.03.013

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Summary:The acoustic startle reflex (ASR) is subject to substantial variability. This inherent variability consequently shapes the conclusions drawn from gap-induced prepulse inhibition of the acoustic startle reflex (GPIAS) assessments. Recent studies have cast doubt as to the efficacy of this methodology as it pertains to tinnitus assessment, partially, due to variability in and between data sets. The goal of this study was to examine the variance associated with several common data collection variables and data analyses with the aim to improve GPIAS reliability. To study this the GPIAS tests were conducted in adult male and female CBA/CaJ mice. Factors such as inter-trial interval, circadian rhythm, sex differences, and sensory adaptation were each evaluated. We then examined various data analysis factors which influence GPIAS assessment. Gap-induced facilitation, data processing options, and assessments of tinnitus were studied. We found that the startle reflex is highly variable in CBA/CaJ mice, but this can be minimized by certain data collection factors. We also found that careful consideration of temporal fluctuations of the ASR and controlling for facilitation can lead to more accurate GPIAS results. This study provides a guide for reducing variance in the GPIAS methodology – thereby improving the diagnostic power of the test. •The ASR is variable, and this variation can contribute to “messy” GPIAS data.•Careful consideration of ITI, sex, circadian, and sensory adaptation factors can reduce ASR variation.•Preceding gaps can inhibit and facilitate the startle response which needs to be appropriately addressed in data analysis.•The benefits and limitations of several GPIAS analyses are considered for tinnitus assessment.
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ISSN:0378-5955
1878-5891
1878-5891
DOI:10.1016/j.heares.2018.03.013