Empirically-based comparisons of the reliability and validity of common quantification approaches for eyeblink startle potentiation in humans (Data and study materials)

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Description: Abstract: Startle potentiation is a well validated translational measure of negative affect. Startle potentiation is widely used in clinical and affective science and there are multiple approaches for its quantification. The three most commonly used approaches quantify startle potentiation as the increase in startle response from a neutral to threat condition based on 1) raw potentiation, 2) standardized potentiation or 3) percent-change potentiation. These three quantification approaches may yield qualitatively different conclusions about effects of independent variables on affect when within or between group differences exist for startle response in the neutral condition. Accordingly, we directly compared these quantification approaches in a shock-threat task using four independent variables known to influence startle response in the no-threat condition: probe intensity, time (i.e., habituation), alcohol administration, and individual differences in general startle reactivity measured at baseline. We confirmed the expected effects of time, alcohol, and general startle reactivity on affect using self-reported fear/anxiety as a criterion. The percent-change approach displayed apparent artifact across all four independent variables, which raises substantial concerns about its validity. Both raw and standardized potentiation approaches were stable across probe intensity and time, which supports their validity. However, only raw potentiation displayed effects that were consistent with a priori specifications and/or the self-report criterion for the effects of alcohol and general startle reactivity. Supplemental analyses of reliability and validity for each approach provided additional evidence in support of raw potentiation. License: CC-By Attribution 4.0 International

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1. LIST OF FILES IN ARCHIVE A. Analyses Scripts mak_RawStartle.R: R script to create mean raw startle variables from trial level data files. Uses mSTL_Trial20_100.dat and bSTL_Trial20_100.dat and produces RawStartle.dat mak_RawStartle_SplitHalf.R: R script to create mean raw startle variables coded by even/odd trials from trial level data file. Uses mSTL_Trial20_100.dat and produces RawStartle_Spl...

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