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Skin Conductance Measures in Neuroeconomic Research

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Abstract

Skin conductance responses (SCR) are an established component of the psychological methods toolkit, and increasingly popular in neuroeconomics. This chapter discusses how SCR are generated by the sympathetic nervous system, the underlying central processes, and provides practical guidelines for SCR research. These guidelines are based on the existing methodological literature and recommendations by the Society for Psychophysiological Research. Analysis strategies for SCR are presented in the light of contemporary, model-based approaches that yield optimal statistical power to make inference on central states. The chapter then gives an overview over applications of SCR in neuroeconomics and outlines current research directions. Because emotional, cognitive, and motor processes can all elicit SCR, interpretation in economic experiments is sometimes challenging. It is therefore recommended to experimentally control possible cognitive and motor confounds. Finally, it would be useful to complement SCR with other peripheral measures of sympathetic/parasympathetic activity, in particular heart period and pupil size.

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Notes

  1. 1.

    Further measures of tonic arousal include the tonic skin conductance level (SCL) and area under the curve (AUC) which I will not discuss in this chapter—interested readers are referred to (Bach et al. 2010c; Boucsein 2012).

  2. 2.

    The fact that SCR indices can dissociate from heart rate might indicate that there is no global sympathetic arousal (Boucsein 2012); but the heart rate is under control of the parasympathetic system as well.

  3. 3.

    This is different from the infrequently used methods of endosomatic recording, which measures the skin potential response (SPR) without applying an external voltage, and from exosomatic measurements with alternating voltage, measuring alternating current (AC). A further method, not recommended by the SPR, is to use constant current, measuring voltage.

References

  • Alexander DM, Trengove C, Johnston P et al (2005) Separating individual skin conductance responses in a short interstimulus-interval paradigm. J Neurosci Methods 146(1):116–123

    Article  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • Bach DR, Erdmann G (2007) Influences of habitual and situational bodily symptom focusing on stress responses. Cogn Emot 21(5):1091–1101

    Article  Google Scholar 

  • Bach DR, Friston KJ (2013) Model-based analysis of skin conductance responses: towards causal models in psychophysiology. Psychophysiology 50(1):15–22

    Article  PubMed  Google Scholar 

  • Bach DR, Staib M (2015) A matching pursuit algorithm for inferring tonic sympathetic arousal from spontaneous skin conductance fluctuations. Psychophysiology 52(8):1106–1112

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Flandin G, Friston K et al (2009) Time-series analysis for rapid event-related skin conductance responses. J Neurosci Methods 184(2):224–234

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Daunizeau J, Friston KJ et al (2010a) Dynamic causal modelling of anticipatory skin conductance responses. Biol Psychol 85(1):163–170

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Flandin G, Friston KJ et al (2010b) Modelling event-related skin conductance responses. Int J Psychophysiol 75(3):349–356

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Friston KJ, Dolan RJ (2010c) Analytic measures for quantification of arousal from spontaneous skin conductance fluctuations. Int J Psychophysiol 76(1):52–55

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Daunizeau J, Kuelzow N et al (2011) Dynamic causal modeling of spontaneous fluctuations in skin conductance. Psychophysiology 48(2):252–257

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Friston KJ, Dolan RJ (2013) An improved algorithm for model-based analysis of evoked skin conductance responses. Biol Psychol 94(3):490–497

    Article  PubMed  PubMed Central  Google Scholar 

  • Bach DR, Gerster S, Tzovara A, Castegnetti G (2016) A linear model for event-related respiration responses. Journal of Neuroscience Methods 270:174–155

    Article  Google Scholar 

  • Barry RJ, Feldmann S, Gordon E et al (1993) Elicitation and habituation of the electrodermal orienting response in a short interstimulus interval paradigm. Int J Psychophysiol 15(3):247–253

    Article  PubMed  Google Scholar 

  • Bechara A, Tranel D, Damasio H et al (1996) Failure to respond autonomically to anticipated future outcomes following damage to prefrontal cortex. Cereb Cortex 6(2):215–225

    Article  PubMed  Google Scholar 

  • Bechara A, Damasio H, Tranel D et al (1997) Deciding advantageously before knowing the advantageous strategy. Science 275(5304):1293–1295

    Article  PubMed  Google Scholar 

  • Bechara A, Damasio H, Tranel D et al (2005) The Iowa gambling task and the somatic marker hypothesis: some questions and answers. Trends Cogn Sci 9(4):159–162; discussion 162–164

    Google Scholar 

  • Bediou B, Mohri C, Lack J et al (2011) Effects of outcomes and random arbitration on emotions in a competitive gambling task. Front Psychol 2:213

    Article  PubMed  PubMed Central  Google Scholar 

  • Benedek M, Kaernbach C (2010a) A continuous measure of phasic electrodermal activity. J Neurosci Methods 190(1):80–91

    Article  PubMed  PubMed Central  Google Scholar 

  • Benedek M, Kaernbach C (2010b) Decomposition of skin conductance data by means of nonnegative deconvolution. Psychophysiology 47(4):647–658

    PubMed  PubMed Central  Google Scholar 

  • Botvinick MM, Rosen ZB (2009) Anticipation of cognitive demand during decision-making. Psychol Res 73(6):835–842

    Article  PubMed  Google Scholar 

  • Boucsein W (2012) Electrodermal activity. Springer, New York

    Book  Google Scholar 

  • Boucsein W, Fowles DC, Grimnes S et al (2012) Publication recommendations for electrodermal measurements. Psychophysiology 49(8):1017–1034

    Article  PubMed  Google Scholar 

  • Bowman CH, Evans CE, Turnbull OH (2005) Artificial time constraints on the Iowa gambling task: the effects on behavioural performance and subjective experience. Brain Cogn 57(1):21–25

    Article  PubMed  Google Scholar 

  • Castegnetti G, Tzovara A, Staib M et al (2016) Modeling fear-conditioned bradycardia in humans. Psychophysiology 53(6):930–939

    Article  PubMed  PubMed Central  Google Scholar 

  • Coan JA, Allen JJB (2007) Handbook of emotion elicitation and assessment. Oxford University Press, Oxford

    Google Scholar 

  • Critchley HD (2002) Electrodermal responses: what happens in the brain. Neuroscientist 8(2):132–142

    Article  PubMed  Google Scholar 

  • Crone EA, van der Molen MW (2007) Development of decision making in school-aged children and adolescents: evidence from heart rate and skin conductance analysis. Child Dev 78(4):1288–1301

    Article  PubMed  Google Scholar 

  • Damasio AR (1994) Descartes error: emotion, reason and the human brain. Avon, New York

    Google Scholar 

  • de Berker AO, Rutledge RB, Mathys C et al (2016) Computations of uncertainty mediate acute stress responses in humans. Nat Commun 7:10996

    Article  PubMed  PubMed Central  Google Scholar 

  • Delgado MR, Jou RL, Phelps EA (2011) Neural systems underlying aversive conditioning in humans with primary and secondary reinforcers. Front Neurosci 5:71

    Article  PubMed  PubMed Central  Google Scholar 

  • Dunn BD, Dalgleish T, Lawrence AD (2006) The somatic marker hypothesis: a critical evaluation. Neurosci Biobehav Rev 30(2):239–271

    Article  PubMed  Google Scholar 

  • Engelmann JB, Meyer F, Fehr E et al (2015) Anticipatory anxiety disrupts neural valuation during risky choice. J Neurosci 35(7):3085–3099

    Article  PubMed  Google Scholar 

  • Green SR, Kragel PA, Fecteau ME et al (2014) Development and validation of an unsupervised scoring system (autonomate) for skin conductance response analysis. Int J Psychophysiol 91(3):186–193

    Article  PubMed  Google Scholar 

  • Guillaume S, Jollant F, Jaussent I et al (2009) Somatic markers and explicit knowledge are both involved in decision-making. Neuropsychologia 47(10):2120–2124

    Article  PubMed  Google Scholar 

  • Heereman J, Walla P (2011) Stress, uncertainty and decision confidence. Appl Psychophysiol Biofeedback 36(4):273–279

    Article  PubMed  Google Scholar 

  • Hein G, Lamm C, Brodbeck C et al (2011) Skin conductance response to the pain of others predicts later costly helping. PLoS One 6(8):e22759

    Article  PubMed  PubMed Central  Google Scholar 

  • Hinson JM, Whitney P, Holben H et al (2006) Affective biasing of choices in gambling task decision making. Cogn Affect Behav Neurosci 6(3):190–200

    Article  PubMed  Google Scholar 

  • Hygge S, Hugdahl K (1985) Skin conductance recordings and the NaCl concentration of the electrolyte. Psychophysiology 22(3):365–367

    Article  PubMed  Google Scholar 

  • James W (1884) What is an emotion? Mind 9(34):188–205

    Google Scholar 

  • Korn CW, Bach DR (2016) A solid frame for the window on cognition: Modeling event-related pupil responses. J Vis 16(3):28

    Article  PubMed  PubMed Central  Google Scholar 

  • Lazarus RS (1982) Thoughs on the relations between emotion and cognition. Am Psychol 37(9):1019–1024

    Article  Google Scholar 

  • Lim CL, Rennie C, Barry RJ et al (1997) Decomposing skin conductance into tonic and phasic components. Int J Psychophysiol 25(2):97–109

    Article  PubMed  Google Scholar 

  • Maia TV, McClelland JL (2004) A reexamination of the evidence for the somatic marker hypothesis: what participants really know in the Iowa gambling task. Proc Nat Acad Sci USA 101(45):16075–16080

    Article  PubMed  PubMed Central  Google Scholar 

  • Miu AC, Heilman RM, Houser D (2008) Anxiety impairs decision-making: psychophysiological evidence from an Iowa gambling task. Biol Psychol 77(3):353–358

    Article  PubMed  Google Scholar 

  • Paulus PC, Castegnetti G, Bach DR (2016) Modelling event-related heart period responses. Psychophysiology 53(6):837–846

    Article  PubMed  PubMed Central  Google Scholar 

  • Reisenzein R (1983) The Schachter theory of emotion: two decades later. Psychol Bull 94(2):239–264

    Article  PubMed  Google Scholar 

  • Rolls ET (1999) The brain and emotion. Oxford University Press, Oxford

    Google Scholar 

  • Salvia E, Guillot A, Collet C (2012) Autonomic nervous system correlates to readiness state and negative outcome during visual discrimination tasks. Int J Psychophysiol 84(2):211–218

    Article  PubMed  Google Scholar 

  • Sarlo M, Lotto L, Palomba D et al (2012) Framing the ultimatum game: gender differences and autonomic responses. Int J Psychol 48(3):263–271

    Article  PubMed  Google Scholar 

  • Schachter S, Singer JE (1962) Cognitive, social, and physiological determinants of emotional state. Psychol Rev 69:379–399

    Article  PubMed  Google Scholar 

  • Scherer KR, Schorr A, Johnstone T (2001) Appraisal processes in emotion: theory, methods, research. Oxford University Press, New York

    Google Scholar 

  • Sokol-Hessner P, Hsu M, Curley NG et al (2009) Thinking like a trader selectively reduces individuals’ loss aversion. Proc Nat Acad Sci USA 106(13):5035–5040

    Article  PubMed  PubMed Central  Google Scholar 

  • Staib M, Castegnetti G, Bach DR (2015) Optimising a model-based approach to inferring fear learning from skin conductance responses. J Neurosci Methods 255:131–138

    Article  PubMed  PubMed Central  Google Scholar 

  • Stephens CL, Christie IC, Friedman BH (2010) Autonomic specificity of basic emotions: evidence from pattern classification and cluster analysis. Biol Psychol 84(3):463–473

    Article  PubMed  Google Scholar 

  • Studer B, Clark L (2011) Place your bets: psychophysiological correlates of decision-making under risk. Cogn Affect Behav Neurosci 11(2):144–158

    Article  PubMed  PubMed Central  Google Scholar 

  • Studer B, Scheibehenne B, Clark L (2016) Psychophysiological arousal and inter- and intraindividual differences in risk-sensitive decision making. Psychophysiology 53(6):940–950

    Article  PubMed  PubMed Central  Google Scholar 

  • Talmi D, Dayan P, Kiebel SJ et al (2009) How humans integrate the prospects of pain and reward during choice. J Neurosci 29(46):14617–14626

    Article  PubMed  PubMed Central  Google Scholar 

  • Tomb I, Hauser M, Deldin P et al (2002) Do somatic markers mediate decisions on the gambling task? Nat Neurosci 5(11):1103–1104; author reply 1104

    Google Scholar 

  • Van’t Wout M, Kahn RS, Sanfey AG et al (2006) Affective state and decision-making in the ultimatum game. Exp Brain Res 169(4):564–568

    Google Scholar 

  • Visagan R, Xiang A, Lamar M (2012) Comparison of deck- and trial-based approaches to advantageous decision making on the Iowa Gambling Task. Psychol Assess 24(2):455–463

    Article  PubMed  Google Scholar 

  • Wagar BM, Dixon M (2006) Affective guidance in the Iowa gambling task. Cogn Affect Behav Neurosci 6(4):277–290

    Article  PubMed  Google Scholar 

  • Whitney P, Hinson JM, Wirick A et al (2007) Somatic responses in behavioral inhibition. Cogn Affect Behav Neurosci 7(1):37–43

    Article  PubMed  Google Scholar 

  • Wu Y, Van Dijk E, Aitken M et al (2016) Missed losses loom larger than missed gains: electrodermal reactivity to decision choices and outcomes in a gambling task. Cogn Affect Behav Neurosci 16(2):353–361

    Article  PubMed  Google Scholar 

  • Yen NS, Chou IC, Chung HK et al (2012) The interaction between expected values and risk levels in a modified Iowa gambling task. Biol Psychol 91(2):232–237

    Article  PubMed  Google Scholar 

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Acknowledgments

The author thanks Deborah Talmi, Joel Winston, Michael Gaebler, Lyudmyla Kovalenko, and Matthias Staib, for helpful comments on a first draft of this manuscript.

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Correspondence to Dominik R. Bach .

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Bach, D.R. (2016). Skin Conductance Measures in Neuroeconomic Research. In: Reuter, M., Montag, C. (eds) Neuroeconomics. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35923-1_18

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