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A head-to-head comparison of SCRalyze and Ledalab, two model-based methods for skin conductance analysis
被引:76
作者:
Bach, Dominik R.
[1
,2
]
机构:
[1] Univ Zurich, Dept Psychiat Psychotherapy & Psychosomat, CH-8032 Zurich, Switzerland
[2] UCL, Wellcome Trust Ctr Neuroimaging, London WC1E 6BT, England
基金:
英国惠康基金;
关键词:
SCR;
EDA;
GSR;
Model based method;
Biophysical model;
Model inversion;
RESPONSES;
HABITUATION;
ANXIETY;
CONTEXT;
D O I:
10.1016/j.biopsycho.2014.08.006
中图分类号:
B84 [心理学];
学科分类号:
04 ;
0402 ;
摘要:
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. (C) 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/).
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页码:63 / 68
页数:6
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