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Brain Topography

, Volume 25, Issue 1, pp 73–96 | Cite as

Neural Signatures of Economic Parameters During Decision-Making: A Functional MRI (fMRI), Electroencephalography (EEG) and Autonomic Monitoring Study

  • Ludovico Minati
  • Marina Grisoli
  • Silvana Franceschetti
  • Francesca Epifani
  • Alice Granvillano
  • Nick Medford
  • Neil A. Harrison
  • Sylvie Piacentini
  • Hugo D. Critchley
Original Paper

Abstract

Adaptive behaviour requires an ability to obtain rewards by choosing between different risky options. Financial gambles can be used to study effective decision-making experimentally, and to distinguish processes involved in choice option evaluation from outcome feedback and other contextual factors. Here, we used a paradigm where participants evaluated ‘mixed’ gambles, each presenting a potential gain and a potential loss and an associated variable outcome probability. We recorded neural responses using autonomic monitoring, electroencephalography (EEG) and functional neuroimaging (fMRI), and used a univariate, parametric design to test for correlations with the eleven economic parameters that varied across gambles, including expected value (EV) and amount magnitude. Consistent with behavioural economic theory, participants were risk-averse. Gamble evaluation generated detectable autonomic responses, but only weak correlations with outcome uncertainty were found, suggesting that peripheral autonomic feedback does not play a major role in this task. Long-latency stimulus-evoked EEG potentials were sensitive to expected gain and expected value, while alpha-band power reflected expected loss and amount magnitude, suggesting parallel representations of distinct economic qualities in cortical activation and central arousal. Neural correlates of expected value representation were localized using fMRI to ventromedial prefrontal cortex, while the processing of other economic parameters was associated with distinct patterns across lateral prefrontal, cingulate, insula and occipital cortices including default-mode network and early visual areas. These multimodal data provide complementary evidence for distributed substrates of choice evaluation across multiple, predominantly cortical, brain systems wherein distinct regions are preferentially attuned to specific economic features. Our findings extend biologically-plausible models of risky decision-making while providing potential biomarkers of economic representations that can be applied to the study of deficits in motivational behaviour in neurological and psychiatric patients.

Keywords

Decision making Prospect theory Functional MRI (fMRI) Electroencephalography (EEG) Autonomic monitoring 

Notes

Acknowledgments

LM was wholly funded and employed by Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB) during the core period of this study. This research also forms part of a BSMS doctoral dissertation (10/056/MIN) and is based on preparatory work conducted while LM was previously employed by BSMS. Data acquisition for the fMRI and EEG experiments was conducted at and supported by the FINCB; data acquisition for the ANS experiment and preliminary behavioural experiments were conducted at and supported by BSMS. The authors are grateful to Elena Schiaffi for excellent operational assistance during EEG data acquisition, to Stefania Ferraro and Ferruccio Panzica for helpful support and useful discussions, and to two anonymous reviewers for insightful feedback on an earlier version of this manuscript. The results of this study have been presented at the “Mapping Functional Networks for Brain Surgery” ISMRM workshop (Milan, IT, September 2011).

Conflict of interest

All authors declare that they do not have any real or perceived conflicts.

References

  1. Abdellaoui M, Bleichrodt H, Paraschiv C (2007) Loss aversion under prospect theory: a parameter-free measurement. J Manag Sci 53:1659–1674CrossRefGoogle Scholar
  2. Andersen RA, Cui H (2009) Intention, action planning, and decision making in parietal-frontal circuits. Neuron 63:568–583PubMedCrossRefGoogle Scholar
  3. Barch DM, Braver TS, Sabb FW, Noll DC (2000) Anterior cingulate and the monitoring of response conflict: evidence from an fMRI study of overt verb generation. J Cogn Neurosci 12:298–309PubMedCrossRefGoogle Scholar
  4. Barry RJ (1990) The orienting response: stimulus factors and response measures. Pavlov J Biol Sci 25:93–99PubMedGoogle Scholar
  5. Bechara A (2004) The role of emotion in decision-making: evidence from neurological patients with orbitofrontal damage. Brain Cogn 55:30–40PubMedCrossRefGoogle Scholar
  6. Bechara A, Damasio H, Tranel D, Damasio AR (1997) Deciding advantageously before knowing the advantageous strategy. Science 275:1293–1295PubMedCrossRefGoogle Scholar
  7. Bossaerts P (2010) Risk and risk prediction error signals in anterior insula. Brain Struct Funct 214:645–653PubMedCrossRefGoogle Scholar
  8. Braver TS, Barch DM, Gray JR, Molfese DL, Snyder A (2001) Anterior cingulate cortex and response conflict: effects of frequency, inhibition and errors. Cereb Cortex 11:825–836PubMedCrossRefGoogle Scholar
  9. Caldiroli D, Minati L (2007) Early experience with remote pressure sensor respiratory plethysmography monitoring sedation in the MR scanner. Eur J Anaesthesiol 24:761–769PubMedCrossRefGoogle Scholar
  10. Carp J, Kim K, Taylor SF, Fitzgerald KD, Weissman DH (2010) Conditional differences in mean reaction time explain effects of response congruency, but not accuracy, on posterior medial frontal cortex activity. Front Hum Neurosci 4:231PubMedCrossRefGoogle Scholar
  11. Chib VS, Rangel A, Shimojo S, O’Doherty JP (2009) Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J Neurosci 29:12315–12320PubMedCrossRefGoogle Scholar
  12. Clark L (2010) Decision-making during gambling: an integration of cognitive and psychobiological approaches. Philos Trans R Soc Lond B Biol Sci 365:319–330PubMedCrossRefGoogle Scholar
  13. Clark L, Bechara A, Damasio H, Aitken MR, Sahakian BJ, Robbins TW (2008) Differential effects of insular and ventromedial prefrontal cortex lesions on risky decision-making. Brain 131:1311–1322PubMedCrossRefGoogle Scholar
  14. Cohen MX, Ranganath C (2005) Behavioral and neural predictors of upcoming decisions. Cogn Affect Behav Neurosci 5:117–126PubMedCrossRefGoogle Scholar
  15. Cohen MX, Heller AS, Ranganath C (2005) Functional connectivity with anterior cingulate and orbitofrontal cortices during decision-making. Brain Res Cogn Brain Res 23:61–70PubMedCrossRefGoogle Scholar
  16. Cohen MX, Elger CE, Ranganath C (2007) Reward expectation modulates feedback-related negativity and EEG spectra. Neuroimage 35:968–978PubMedCrossRefGoogle Scholar
  17. Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nature Rev. Neurosci 3:201–215CrossRefGoogle Scholar
  18. Coricelli G, Dolan RJ, Sirigu A (2007) Brain, emotion and decision making: the paradigmatic example of regret. Trends Cogn Sci 11:258–265PubMedCrossRefGoogle Scholar
  19. Craig AD (2009) How do you feel—now? The anterior insula and human awareness. Nat Rev Neurosci 10:59–70PubMedCrossRefGoogle Scholar
  20. Critchley HD (2002) Electrodermal responses: what happens in the brain. Neuroscientist 8:132–142PubMedCrossRefGoogle Scholar
  21. Critchley HD (2005) Neural mechanisms of autonomic, affective, and cognitive integration. J Comp Neurol 493:154–166PubMedCrossRefGoogle Scholar
  22. Critchley HD, Mathias CJ, Dolan RJ (2001) Neural activity in the human brain relating to uncertainty and arousal during anticipation. Neuron 29:537–545PubMedCrossRefGoogle Scholar
  23. Crowley KE, Colrain IM (2004) A review of the evidence for P2 being an independent component process: age, sleep and modality. Clin Neurophysiol 115:732–744PubMedCrossRefGoogle Scholar
  24. Crowley MJ, Wu J, Molfese PJ, Mayes LC (2010) Social exclusion in middle childhood: rejection events, slow-wave neural activity, and ostracism distress. Soc Neurosci 12:1–13Google Scholar
  25. Cui RQ, Huter D, Egkher A, Lang W, Lindinger G, Deecke L (2000) High resolution DC-EEG mapping of the Bereitschaftspotential preceding simple or complex bimanual sequential finger movement. Exp Brain Res 134:49–57PubMedCrossRefGoogle Scholar
  26. Damasio AR (1996) The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philos Trans R Soc Lond B Biol Sci 351:1413–1420PubMedCrossRefGoogle Scholar
  27. Davis CE, Hauf JD, Wu DQ, Everhart DE (2011) Brain function with complex decision making using electroencephalography. Int J Psychophysiol 79:175–183PubMedCrossRefGoogle Scholar
  28. Dunn BD, Dalgleish T, Lawrence AD (2006) The somatic marker hypothesis: a critical evaluation. Neurosci Biobehav Rev 30:239–271PubMedCrossRefGoogle Scholar
  29. Engelmann JB, Tamir D (2009) Individual differences in risk preference predict neural responses during financial decision-making. Brain Res 1290:28–51PubMedCrossRefGoogle Scholar
  30. Engelmann JB, Capra CM, Noussair C, Berns GS (2009) Expert financial advice neurobiologically “Offloads” financial decision-making under risk. PLoS One 4:e4957PubMedCrossRefGoogle Scholar
  31. Fox MD, Raichle ME (2007) Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700–711PubMedCrossRefGoogle Scholar
  32. Friston KJ, Holmes A, Poline JB, Price CJ, Frith CD (1996) Detecting activations in PET and fMRI: levels of inference and power. Neuroimage 4:223–235PubMedCrossRefGoogle Scholar
  33. Gläscher J, Hampton AN, O’Doherty JP (2009) Determining a role for ventromedial prefrontal cortex in encoding action-based value signals during reward-related decision making. Cereb Cortex 19:483–495PubMedCrossRefGoogle Scholar
  34. Gneezy U, Rustichini A (2000) Pay enough or don’t pay at all. Q J Econ 115:791–810CrossRefGoogle Scholar
  35. Goupillaud P, Grossman A, Morlet J (1984) Cycle-octave and related transforms in seismic signal analysis. Geoexploration 23:85–102CrossRefGoogle Scholar
  36. Greicius MD, Krasnow B, Reiss AL, Menon V (2003) Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA 100:253–258PubMedCrossRefGoogle Scholar
  37. Hajcak G, Moser JS, Holroyd CB, Simons RF (2006) The feedback-related negativity reflects the binary evaluation of good versus bad outcomes. Biol Psychol 71:148–154PubMedCrossRefGoogle Scholar
  38. Heims HC, Critchley HD, Dolan R, Mathias CJ (2004) Social and motivational functioning is not critically dependent on feedback of autonomic responses: neuropsychological evidence from patients with pure autonomic failure. Neuropsychologia 42:1979–1988PubMedCrossRefGoogle Scholar
  39. Herrmann CS, Knight RT (2001) Mechanisms of human attention: event-related potentials and oscillations. Neurosci Biobehav Rev 25:465–476PubMedCrossRefGoogle Scholar
  40. Hollerman JR, Tremblay L, Schultz W (1998) Influence of reward expectation on behavior-related neuronal activity in primate striatum. J Neurophysiol 80:947–963PubMedGoogle Scholar
  41. Hsu M, Krajbich I, Zhao C, Camerer CF (2009) Neural response to reward anticipation under risk is nonlinear in probabilities. J Neurosci 29:2231–2237PubMedCrossRefGoogle Scholar
  42. Ino T, Nakai R, Azuma T, Kimura T, Fukuyama H (2010) Differential activation of the striatum for decision making and outcomes in a monetary task with gain and loss. Cortex 46:2–14PubMedCrossRefGoogle Scholar
  43. Jones CL, Minati L, Harrison NA, Ward J, Critchley HD (2011) Under pressure: response urgency modulates striatal and insula activity during decision-making under risk. PLoS One 6(6):e20942Google Scholar
  44. Kable JW, Glimcher PW (2009) The neurobiology of decision: consensus and controversy. Neuron 63:733–745PubMedCrossRefGoogle Scholar
  45. Kahn I, Yeshurun Y, Rotshtein P, Fried I, Ben-Bashat D, Hendler T (2002) The role of the amygdala in signaling prospective outcome of choice. Neuron 33:983–994PubMedCrossRefGoogle Scholar
  46. Kahneman D (2003) A perspective on judgment and choice: mapping bounded rationality. Am Psychol 58:697–720PubMedCrossRefGoogle Scholar
  47. Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 4:263–291CrossRefGoogle Scholar
  48. Kahneman D, Tversky A (1984) Choices, values and frames. Am Psychol 39:341–350CrossRefGoogle Scholar
  49. Kahneman D, Tversky A (1991) Loss aversion in riskless choice: a reference-dependent model. Q J Econ 106:1039–1061CrossRefGoogle Scholar
  50. Klimesch W, Doppelmayr M, Schwaiger J, Auinger P, Winkler T (2007) ‘Paradoxical’ alpha synchronization in a memory task. Brain Res Cogn Brain Res 7:493–501CrossRefGoogle Scholar
  51. Knyazev GG, Slobodskoj-Plusnin JY, Bocharov AV, Pylkova LV (2011) The default mode network and EEG alpha oscillations: an independent component analysis. Brain Res 1402:67–79PubMedCrossRefGoogle Scholar
  52. Kolev V, Yordanova J, Schurmann M, Basar E (2001) Increased frontal phase-locking of event-related alpha oscillations during task processing. Int J Psychophys 39:159–165CrossRefGoogle Scholar
  53. Kristeva R, Keller E, Deecke L, Kornhuber HH (1979) Cerebral potentials preceding unilateral and simultaneous bilateral finger movements. Electroencephalogr Clin Neurophysiol 47:229–238PubMedCrossRefGoogle Scholar
  54. Kristeva R, Jankov E, Gantchev G (1987) Differences in slow potentials in bereitschaftspotential and contingent negative variation producing situations. Electroencephalogr Clin Neurophysiol Suppl 40:41–46PubMedGoogle Scholar
  55. Lamm C, Windischberger C, Leodolter U, Moser E, Bauer H (2001) Evidence for premotor cortex activity during dynamic visuospatial imagery from single-trial functional magnetic resonance imaging and event-related slow cortical potentials. Neuroimage 14:268–283PubMedCrossRefGoogle Scholar
  56. Lee D (2006) Neural basis of quasi-rational decision making. Curr Opin Neurobiol 16:191–198PubMedCrossRefGoogle Scholar
  57. Levine DS (2009) Brain pathways for cognitive-emotional decision making in the human animal. Neural Netw 22:286–293PubMedCrossRefGoogle Scholar
  58. Linden DE (2005) The p300: where in the brain is it produced and what does it tell us? Neuroscientist 11:563–576PubMedCrossRefGoogle Scholar
  59. Logothetis NK, Pfeuffer J (2004) On the nature of the BOLD fMRI contrast mechanism. Magn Reson Imag 22:1517–1531CrossRefGoogle Scholar
  60. Machina MJ (1982) “Expected utility” analysis without the independence axiom. Econometrica 50:277–323CrossRefGoogle Scholar
  61. Medford N, Critchley HD (2010) Conjoint activity of anterior insular and anterior cingulate cortex: awareness and response. Brain Struct Funct 214:535–549PubMedCrossRefGoogle Scholar
  62. Mennes M, Wouters H, van der Bergh B, Lagae L, Stiers P (2008) ERP correlates of complex human decision making in a gambling paradigm: detection and resolution of conflict. Psychophysiology 45:714–720PubMedCrossRefGoogle Scholar
  63. Miltner WHR, Braun CH, Coles MGH (1997) Event-related brain potentials following incorrect feedback in a time-estimation task: evidence for a “generic” neural system for error detection. J Cogn Neurosci 9:788–798CrossRefGoogle Scholar
  64. Minati L, Rosazza C, Zucca I, D’Incerti L, Scaioli V, Bruzzone MG (2008) Spatial correspondence between functional MRI (fMRI) activations and cortical current density maps of event-related potentials (ERP): a study with four tasks. Brain Topogr 21:112–127PubMedCrossRefGoogle Scholar
  65. Minati L, Piacentini S, Ferrè F, Nanetti L, Romito L, Mariotti C, Grisoli M, Medford N, Critchley HD, Albanese A (2011) Choice-option evaluation is preserved in early Huntington and Parkinson’s disease. Neuroreport 22:753–757PubMedCrossRefGoogle Scholar
  66. Oakes TR, Pizzagalli DA, Hendrick AM, Horras KA, Larson CL, Abercrombie HC, Schaefer SM, Koger JV, Davidson RJ (2004) Functional coupling of simultaneous electrical and metabolic activity in the human brain. Hum Brain Mapp 21:257–270PubMedCrossRefGoogle Scholar
  67. Ohira H, Ichikawa N, Nomura M, Isowa T, Kimura K, Kanayama N, Fukuyama S et al (2010) Brain and autonomic association accompanying stochastic decision-making. NeuroImage 49:1024–1037PubMedCrossRefGoogle Scholar
  68. Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:97–113PubMedCrossRefGoogle Scholar
  69. Osumi T, Ohira H (2009) Cardiac responses predict decisions: an investigation of the relation between orienting response and decisions in the ultimatum game. Int J Psychophysiol 74:74–79PubMedCrossRefGoogle Scholar
  70. Pagnoni G, Zink CF, Montague PR, Berns GS (2002) Activity in human ventral striatum locked to errors of reward prediction. Nat Neurosci 5:97–98PubMedCrossRefGoogle Scholar
  71. Palva S, Palva JM (2007) New vistas for alpha-frequency band oscillations. Trends Neurosci 30:150–158PubMedCrossRefGoogle Scholar
  72. Pedroni A, Koeneke S, Velickaite A, Jäncke L (2011a) Differential magnitude coding of gains and omitted rewards in the ventral striatum. Brain Res 1411:76–86PubMedCrossRefGoogle Scholar
  73. Pedroni A, Langer N, Koenig T, Allemand M, Jäncke L (2011b) Electroencephalographic topography measures of experienced utility. J Neurosci 31:10474–10480PubMedCrossRefGoogle Scholar
  74. Pfurtscheller G (2001) Functional brain imaging based on ERD/ERS. Vision Res 41:1257–1260PubMedCrossRefGoogle Scholar
  75. Platt ML, Huettel SA (2008) Risky business: the neuroeconomics of decision making under uncertainty. Nat Neurosci 11:398–403PubMedCrossRefGoogle Scholar
  76. Polezzi D, Daum I, Rubaltelli E, Lotto L, Civai C, Sartori G, Rumiati R (2008a) Mentalizing in economic decision making. Behav Brain Res 190:218–223PubMedCrossRefGoogle Scholar
  77. Polezzi D, Lotto L, Daum I, Sartori G, Rumiati R (2008b) Predicting outcomes of decisions in the brain. Behav Brain Res 187:116–122PubMedCrossRefGoogle Scholar
  78. Polezzi D, Sartori G, Rumiati R, Vidotto G, Daum I (2010) Brain correlates of risky decision-making. Neuroimage 49:1886–1894PubMedCrossRefGoogle Scholar
  79. Preuschoff K, Quartz SR, Bossaerts P (2008) Human insula activation reflects risk prediction errors as well as risk. J Neurosci 28:2745–2752PubMedCrossRefGoogle Scholar
  80. Rangel A, Hare T (2010) Neural computations associated with goal-directed choice. Curr Opin Neurobiol 20:262–270PubMedCrossRefGoogle Scholar
  81. Rolls ET (1999) The brain and emotion. Oxford University Press, OxfordGoogle Scholar
  82. Rorie AE, Newsome WT (2005) A general mechanism for decision-making in the human brain? Trends Cogn Sci 9:41–43PubMedCrossRefGoogle Scholar
  83. Rosazza C, Minati L (2011) Resting-state brain networks: literature review and clinical applications. Neurol Sci 32(5):773–785PubMedCrossRefGoogle Scholar
  84. Rösler F, Heil M (1991) Toward a functional categorization of slow waves: taking into account past and future events. Psychophysiology 28:344–358PubMedCrossRefGoogle Scholar
  85. Ruchkin DS, Johnson R Jr, Mahaffey D, Sutton S (1988) Toward a functional categorization of slow waves. Psychophysiology 25:339–353PubMedCrossRefGoogle Scholar
  86. Rushworth MF, Behrens TE (2008) Choice, uncertainty and value in prefrontal and cingulate cortex. Nat Neurosci 11:389–397PubMedCrossRefGoogle Scholar
  87. Satterthwaite TD, Green L, Myerson J, Parker J, Ramaratnam M, Buckner RL (2007) Dissociable but inter-related systems of cognitive control and reward during decision making: evidence from pupillometry and event-related fMRI. Neuroimage 37:1017–1031PubMedCrossRefGoogle Scholar
  88. Scheibe C, Ullsperger M, Sommer W, Heekeren HR (2010) Effects of parametrical and trial-to-trial variation in prior probability processing revealed by simultaneous electroencephalogram/functional magnetic resonance imaging. J Neurosci 30:16709–16717PubMedCrossRefGoogle Scholar
  89. Schultz W (2004) Neural coding of basic reward terms of animal learning theory, game theory, microeconomics and behavioural ecology. Curr Opin Neurobiol 14:139–147PubMedCrossRefGoogle Scholar
  90. Schutter DJ, de Haan EH, van Honk J (2004) Anterior asymmetrical alpha activity predicts Iowa gambling performance: distinctly but reversed. Neuropsychologia 42:939–943PubMedCrossRefGoogle Scholar
  91. Serences JT (2008) Value-based modulations in human visual cortex. Neuron 60:1169–1181PubMedCrossRefGoogle Scholar
  92. Shibasaki H, Hallett M (2006) What is the Bereitschaftspotential? Clin Neurophysiol 117:2341–2356PubMedCrossRefGoogle Scholar
  93. Siddle DA (1991) Orienting, habituation, and resource allocation: an associative analysis. Psychophysiology 28:245–259PubMedCrossRefGoogle Scholar
  94. Singer T, Critchley HD, Preuschoff K (2009) A common role of insula in feelings, empathy and uncertainty. Trends Cogn Sci 13:334–340PubMedCrossRefGoogle Scholar
  95. Slotnick SD, Moo LR, Segal JB, Hart J (2003) Distinct prefrontal cortex activity associated with item memory and source memory for visual shapes. Cogn Brain Res 17:75–82CrossRefGoogle Scholar
  96. Smith DV, Hayden BY, Truong TK, Song AW, Platt ML, Huettel SA (2010) Distinct value signals in anterior and posterior ventromedial prefrontal cortex. J Neurosci 30:2490–2495PubMedCrossRefGoogle Scholar
  97. Studer B, Clark L (2011) Place your bets: psychophysiological correlates of decision-making under risk. Cogn Affect Behav Neurosci 11:144–158PubMedCrossRefGoogle Scholar
  98. Sutton S, Ruchkin DS (1984) The late positive complex. Advances and new problems. Ann N Y Acad Sci 425:1–23PubMedCrossRefGoogle Scholar
  99. Tobler PN, O’Doherty JP, Dolan TJ, Schultz W (2007) Reward value coding distinct from risk attitude-related uncertainty coding in human reward systems. J Neurophysiol 97:1621–1632PubMedCrossRefGoogle Scholar
  100. Tobler PN, Christopoulos GI, O’Doherty JP, Dolan RJ, Schultz W (2009) Risk-dependent reward value signal in human prefrontal cortex. Proc Natl Acad Sci USA 106:7185–7190PubMedCrossRefGoogle Scholar
  101. Tom SM, Fox CR, Trepel C, Poldrack RA (2007) The neural basis of loss aversion in decision-making under risk. Science 315:515–518PubMedCrossRefGoogle Scholar
  102. Trepel C, Fox CR, Poldrack RA (2005) Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk. Cogn Brain Res 23:34–50CrossRefGoogle Scholar
  103. Tversky A, Kahneman D (1992) Advances in prospect theory cumulative representation of uncertainty. J Risk Uncertain 5:297–323CrossRefGoogle Scholar
  104. Venkatraman V, Payne JW, Bettman JR, Luce MF, Huettel SA (2009) Separate neural mechanisms underlie choices and strategic preferences in risky decision making. Neuron 62:593–602PubMedCrossRefGoogle Scholar
  105. Vila J, Guerra P, Muñoz MA, Vico C, Viedma-del Jesús MI, Delgado LC et al (2007) Cardiac defense: from attention to action. Int J Psychophysiol 66:169–182PubMedCrossRefGoogle Scholar
  106. Visani E, Minati L, Canafoglia L, Gilioli I, Granvillano A, Varotto G, Aquino D, Fazio P, Bruzzone MG, Franceschetti S, Panzica F (2011) Abnormal ERD/ERS but unaffected BOLD response in patients with Unverricht-Lundborg disease during index extension: a simultaneous EEG-fMRI study. Brain Topogr 24:65–77PubMedCrossRefGoogle Scholar
  107. Vogt BA (2005) Pain and emotion interactions in subregions of the cingulate gyrus. Nat Rev Neurosci 6:533–544PubMedCrossRefGoogle Scholar
  108. von Neumann J, Morgenstern O (1944) Theory of games and economic behavior. Princeton UP, PrincetonGoogle Scholar
  109. Vuilleumier P, Driver J (2007) Modulation of visual processing by attention and emotion: windows on causal interactions between human brain regions. Philos Trans R Soc Lond B Biol Sci 362:837–855PubMedCrossRefGoogle Scholar
  110. Vuilleumier P, Richardson MP, Armony JL, Driver J, Dolan RJ (2004) Distant influences of amygdala lesion on visual cortical activation during emotional face processing. Nat Neurosci 7:1271–1278PubMedCrossRefGoogle Scholar
  111. Wallis JD, Kennerley SW (2010) Heterogeneous reward signals in prefrontal cortex. Curr Opin Neurobiol 20:191–198PubMedCrossRefGoogle Scholar
  112. Wang XJ (2008) Decision making in recurrent neuronal circuits. Neuron 60:215–234PubMedCrossRefGoogle Scholar
  113. Weller JA, Levin IP, Shiv B, Bechara A (2009) The effects of insula damage on decision-making for risky gains and losses. Soc Neurosci 4:347–358PubMedCrossRefGoogle Scholar
  114. Wendt J, Weike AI, Lotze M, Hamm AO (2011) The functional connectivity between amygdala and extrastriate visual cortex activity during emotional picture processing depends on stimulus novelty. Biol Psychol 86:203–209PubMedCrossRefGoogle Scholar
  115. Wilkes BL, Gonsalvez CJ, Blaszczynski A (2010) Capturing SCL and HR changes to win and loss events during gambling on electronic machines. Int J Psychophysiol 78:265–272PubMedCrossRefGoogle Scholar
  116. Wilkinson N (2008) An introduction to behavioural economics. Palgrave-Macmillan, BasingstokeGoogle Scholar
  117. Wrase J, Kahnt T, Schlagenhauf F, Beck A, Cohen MX, Knutson B, Heinz A (2007) Different neural systems adjust motor behavior in response to reward and punishment. Neuroimage 36:1253–1262PubMedCrossRefGoogle Scholar
  118. Wunderlich K, Rangel A, O’Doherty JP (2009) Neural computations underlying action-based decision making in the human brain. Proc Natl Acad Sci USA 106:17199–17204PubMedCrossRefGoogle Scholar
  119. Yeung N, Sanfey AG (2004) Independent coding of reward magnitude and valence in the human brain. J Neurosci 24:6258–6264PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Ludovico Minati
    • 1
    • 2
  • Marina Grisoli
    • 3
  • Silvana Franceschetti
    • 4
  • Francesca Epifani
    • 3
  • Alice Granvillano
    • 4
  • Nick Medford
    • 2
  • Neil A. Harrison
    • 2
    • 6
    • 7
  • Sylvie Piacentini
    • 5
  • Hugo D. Critchley
    • 2
    • 6
    • 7
  1. 1.Scientific DepartmentFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
  2. 2.Department of PsychiatryClinical Imaging Sciences Centre (CISC), Brighton & Sussex Medical School (BSMS)FalmerUK
  3. 3.Neuroradiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
  4. 4.Neurophysiology UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
  5. 5.Neurology I UnitFondazione IRCCS Istituto Neurologico Carlo BestaMilanItaly
  6. 6.Sackler Centre for Consciousness ScienceUniversity of SussexFalmerUK
  7. 7.Sussex Partnership NHS Foundation TrustBrightonUK

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