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A data multiverse analysis investigating non-model based SCR quantification approaches.

Rachel Sjouwerman1,2, Sabrina Illius1,3, Manuel Kuhn1,4

  • 1Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

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Summary
This summary is machine-generated.

This study reveals significant variability in skin conductance response quantification methods, particularly for negative conditioned stimulus trials. Inconsistent baseline correction approaches challenge the replicability of electrodermal signal research.

Keywords:
SCLSCRbaseline correctionmultiversespecification curvetransformationstrough-to-peak

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Area of Science:

  • Psychophysiology
  • Neuroscience
  • Behavioral Science

Background:

  • Electrodermal signals, like skin conductance, are vital for studying arousal, emotion, and habituation.
  • Previous research highlighted inconsistencies in skin conductance response (SCR) quantification, impacting study replicability.
  • This study addresses within-approach heterogeneity in SCR quantification, focusing on the baseline-correction (BLC) method.

Purpose of the Study:

  • To systematically evaluate the robustness of SCR quantification using different baseline-correction (BLC) specifications.
  • To investigate the impact of BLC variations on the detection of conditioned stimulus (CS) discrimination during fear acquisition.
  • To compare BLC results with trough-to-peak (TTP) quantification and analyze the influence of transformation types.

Main Methods:

  • A representative dataset (N=118) was analyzed using multiple BLC specifications in a partly pre-registered study.
  • Specification curves were generated for CS discrimination effects (N=150 combinations) and transformation types (N=605 combinations).
  • Comparison of BLC results with a prototypical trough-to-peak (TTP) approach was performed.

Main Results:

  • High agreement was found between BLC approaches for unconditioned stimulus (US) and CS+ trials, but moderate to poor agreement for CS- trials.
  • Specification curves indicated largely comparable effect sizes for CS discrimination, yet transformation types significantly impacted results.
  • BLC approaches frequently misclassified peak values for CS- trials, introducing stimulus-specific biases and hindering replicability.

Conclusions:

  • Inconsistencies in BLC specifications, especially for CS- trials, pose challenges for post-processing and cross-study replicability of electrodermal measures.
  • The study underscores the need for standardized SCR quantification protocols to ensure reliable findings in psychophysiological research.
  • Understanding the impact of different quantification choices is crucial for advancing the multiverse approach in analyzing electrodermal data.