Navigating the manyverse of skin conductance response quantification approaches - A direct comparison of trough-to-peak, baseline correction, and model-based approaches in Ledalab and PsPM
Kuhn, Manuel; Gerlicher, Anna M V; Lonsdorf, Tina B
(2022) Psychophysiology, volume 59, issue 9, pp. 1 - 30
(Article)
Abstract
Raw data are typically required to be processed to be ready for statistical analyses, and processing pipelines are often characterized by substantial heterogeneity. Here, we applied seven different approaches (trough-to-peak scoring by two different raters, script-based baseline correction, Ledalab as well as four different models implemented in the software PsPM)
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to two fear conditioning data sets. Selection of the approaches included was guided by a systematic literature search by using fear conditioning research as a case example. Our approach can be viewed as a set of robustness analyses (i.e., same data subjected to different processing pipelines) aiming to investigate if and to what extent these different quantification approaches yield comparable results given the same data. To our knowledge, no formal framework for the evaluation of robustness analyses exists to date, but we may borrow some criteria from a framework suggested for the evaluation of "replicability" in general. Our results from seven different SCR quantification approaches applied to two data sets with different paradigms suggest that there may be no single approach that consistently yields larger effect sizes and could be universally considered "best." Yet, at least some of the approaches employed show consistent effect sizes within each data set indicating comparability. Finally, we highlight substantial heterogeneity also within most quantification approaches and discuss implications and potential remedies.
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Keywords: anxiety disorders, fear, multiverse, psychophysiology, replicability crisis, General Neuroscience, Neuropsychology and Physiological Psychology, Experimental and Cognitive Psychology, Neurology, Endocrine and Autonomic Systems, Developmental Neuroscience, Cognitive Neuroscience, Biological Psychiatry
ISSN: 0048-5772
Publisher: Wiley-Blackwell
Note: Funding Information: This work was funded by grants from the German Research Foundation (DFG) to TBL (DFG LO1980/7‐1, LO 1980/4‐1, and CRC58; subproject B07, INST 211/633‐1) Funding information Funding Information: The authors thank Karita Ojala for their helpful comments on the manuscript. The authors thank Claudia Immisch for data acquisition (Hamburg sample), Karoline Rosenkranz for TTP scoring of the Hamburg sample, and Maren Klingelhöfer-Jens for TTP scoring of the Hamburg sample as well as for data processing and preparation. We thank Raffael Kalisch and Oliver Tüscher for funding the acquisition of the Mainz data (CRC1193; subproject C01 to RK and subproject C04 to OT) and their support with data collection. Furthermore, we thank Anita Schick, Merve Ilhan, Julian Behr, Petra Seyfahrt, Kenneth Yuen, and Amgad Droby for support with data collection in Mainz and Danielle Stibbe for TTP scoring of the Mainz sample. We also thank Matthias Gamer for providing EDAview for computer-assisted TTP scoring. Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2022 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.
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