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A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis.

Bach, DR; (2014) A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis. Biol Psychol , 103C 63 - 68. 10.1016/j.biopsycho.2014.08.006. Green open access

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Abstract

Model-based analysis of skin conductance responses (SCR) can furnish less noisy estimates of sympathetic arousal (SA) than operational peak scoring approaches, as shown in previous work. Here, I compare two model-based methods for analysis of evoked (stimulus-locked) SCR, implemented in two software packages, SCRalyze and Ledalab, with respect to their sensitivity in recovering SA. Four datasets are analysed to compare predictive validity, i.e. the sensitivity to distinguish pairs of SA states that are known to be different. SCRalyze was significantly better able than Ledalab to recover this known difference in four out of five tested contrasts and comparable in the remaining one. SCRalyze performed significantly better than conventional analysis in all contrasts. I conclude that the model-based method engendered in SCRalyze is currently the best available approach to provide robust and sensitive estimates of sympathetic arousal.

Type: Article
Title: A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.biopsycho.2014.08.006
Publisher version: http://dx.doi.org/10.1016/j.biopsycho.2014.08.006
Additional information: © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/3.0/).
Keywords: Biophysical model, EDA, GSR, Model inversion, Model-based method, SCR
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1450337
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