Neuroimaging and psychophysiological measurement in organizational research: An agenda for research in organizational cognitive neuroscience

Annals of the New York Academy of Sciences

Volumn 1118, Issue , 2007, Pages 18-42

  Lee, Nick ^a   Chamberlain, Laura ^a  

^a ASTON UNIVERSITY   (United Kingdom)

Author keywords

Neuroeconomics; Neuroimaging; Neuromarketing; Organizational cognitive neuroscience; Psychophysiology; Social cognitive neuroscience

Indexed keywords

ADVERTIZING; BEHAVIOR; BRAIN; BRAIN FUNCTION; CASE STUDY; COGNITION; DECISION MAKING; GENDER; HUMAN; INSTITUTIONAL CARE; LEADERSHIP; MEDICAL RESEARCH; NEUROIMAGING; NEUROSCIENCE; ORGANIZATION; PSYCHOPHYSIOLOGY; REVIEW; THEORY; TRANSCRANIAL MAGNETIC STIMULATION;

EID: 36549029284     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1196/annals.1412.003     Document Type: Review

References (79)

1. KAHNEMAN, D. & A. TVERSKY. 1979. Prospect theory: an analysis of decision under risk. Econometrica 47: 263-292.
2. SENIOR, C. et al. 2007. Mapping the mind for the modern market researcher. Qualitative Market Research: An International Journal 10: 153-167.
3. BANDETTINI, P. 2007. Functional MRI today. Int. J. Psychophysiol. 63: 138-145.
4. SENIOR, C & G. RIPPON. 2007. Cognitive neuroscience: contributions from psychophysiology. Int. J. Psychophysiol. 63: 135-137.
5. OCHSNER, K.N. & M.D. LIEBERMAN. 2001. The emergence of social cognitive neuroscience. Am. Psychol. 56: 717-734.
6. CACIOPPO, J.T. et al. 2000. Handbook of Psychophysiology. Cambridge University Press. Cambridge, UK.
7. LIEBERMAN, M.D. 2005. Principles, processes, and puzzles of social cognition: an introduction for the special issue on social cognitive neuroscience. NeuroImage 28: 745-756.
8. BRAEUTIGAM, S. 2005. Neuroeconomics - from neural systems to economic behaviour. Brain Res. Bull. 67: 355-360.
9. KENNING, P. & H. PLASSMANN. 2005. NeuroEconomics: an overview from an economic perspective. Brain Res. Bull. 67: 343-354.
10. BRAEUTIGAM, S. et al. 2001. Magnetoencephalographic signals identify stages in real-life decision processes. Neural Plast. 8: 241-253.
11. SANFEY, A.G. et al. 2003. The neural basis of economic decision-making in the ultimatum game. Science 300: 1755-1758.
12. IOANNIDES, A.A. et al. 2000. Real time processing of affective and cognitive stimuli in the human brain extracted from MEG signals. Brain Topogr. 13: 11-19.
13. ROSSITER, J.R. et al. 2001. Brain-imaging detection of visual scene encoding in long-term memory for TV commercials. J. Advert. Res. 41: 13-21.
14. CACIOPPO, J.T. & R.E. PETTY. 1985. Physiological responses and advertising effects: is the cup half full or half empty? Psychol. Market 2: 115-127.
15. CACIOPPO, J.T. & R.E. PETTY. 1983. Social Psychophysiology: A Sourcebook. Guildford. New York, NY.
16. CACIOPPO, J.T. et al. 1996. Social neuroscience, principles of psychophysiological arousal and response. In Social Psychology: Handbook of Basic Principles. E.T. Higgins & A.W. Kruglanski, Eds.: 72-101. Guildford. New York, NY.
17. CACIOPPO, J.T. & G.G. BERNTSON. 1992. Social psychological contributions to the decade of the brain: the doctrine of multilevel analysis. Am. Psychol. 47: 1019-1028.
18. LIEBERMAN, M.D. 2007. Social cognitive neuroscience: a review of core processes. Ann. Rev. Psychol. 58: 259-289.
19. ADOLPHS, R. 2003. Cognitive neuroscience of human social behavior. Nat. Rev. Neurosci. 4: 165-178.
20. LIEBERMAN, M.D. 2007. Social cognitive neuroscience. In Encyclopaedia of Social Psychology. R.F. Baumeister & K.T. Vohs, Eds. Sage. Thousand Oaks, CA. In press.
21. SENIOR, C. & T. RUSSELL. 2000.Cognitive neuroscience for the 21st century. Trends Cogn. Sci. 4: 444-445.
22. KOSSLYN, S.M. 1999. If neuroimaging is the answer, what is the question? Phil. Trans. R. Soc. Lond. B. 354: 1283-1294.
23. LEE, N. et al. 2007. What is 'neuromarketing'? A discussion and agenda for future research. Int. J. Psychophysiol. 63: 192-198.
24. ROSSITER, J.R. et al. 2001. So what? A rejoinder to the reply by Crites and Aikman-Eckenrode to Rossiter et al. (2001). J. Advert. Res. 41: 59-61.
25. STEWART, D.W. 1984. Physiological measurement of advertising effect: an unfulfilled promise. Psychol. Market. 1: 43-48.
26. CRITES, S.L., JR. & S.N. AIKMAN- ECKENRODE. 2001. Making inferences concerning physiological responses: a reply to Rossiter, Silberstein, Harris, and Nield (2001). J. Advert. Res. 41: 23-25.
27. EDITORIAL. 2004. Brain scam? Nat. Neurosci. 7: 683.
28. HALL, S.D. & P. ADJAMIAN. 2006. The chemistry of cognition. In Methods in mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 327-354. MIT Press. Cambridge, MA.
29. EDELBERG, R. 1972. Electrical activity of the skin, its measurement and uses in psychophysiology. In Handbook of Psychophysiology. N.S. Greenfield & R.S. Sternback, Eds.: 367-418. Holt, Reinhart and Winston Inc. New York, NY.
30. NAQVI, N.H. & A. BECHARA. 2006. Skin conductance: a psychophysiological approach to the study of decision making. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 103-122. MIT Press. Cambridge, MA.
31. NORTON, D. & L. STARK. 1971. Eye movements and visual perception. Sci. Am. 224: 34-43.
32. HENDERSON, J.M. 2006. Eyemovements. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 171-192. MIT Press. Cambridge, MA.
33. RIPPON, G. 2006. Electroencephalography. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 237-262. MIT Press. Cambridge, MA.
34. HÄMÄLÄINEN, M.S. & R. HARI. 2002. Magnetoencephalographic characterization of dynamic brain activation: basic principles of data collection and source analysis. In Brain Mapping: The Methods. A.W. Toga & J.C. Mazziota, Eds.: 227-253. Academic Press. San Diego, CA.
35. SINGH, K. 2006. Magnetoencephalography. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 291-326. MIT Press. Cambridge, MA.
36. BANDETTINI, P. 2006. Functional magnetic resonance imaging. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 193-236. MIT Press. Cambridge, MA.
37. RUSSELL, T.A. et al. 2003. Functional neuroimaging: an introduction to the technology, methodology, interpretation, and applucations. In Neuroimaging in Psychiatry. C. Senior, C. Fu, T.A. Russell, D. Weinberger & R. Murray, Eds.: 1-50. Dunitz Press, UK.
38. STEWART, L. & V. WALSH. 2006. Transcranial magnetic stimulation in human cognition. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 1-26. MIT Press. Cambridge, MA.
39. WASSERMANN, E.M. 1998. Risk and safety of repetitive transcranial magnetic stimulation: report and suggested guidelines from the International Workshop on the Safety of Repetitive Transcranial Magnetic Stimulation, June 5-7, 1996. Electroen. Clin. Neuro. 108: 1-16.
40. CHURCHLAND, P.S. et al. 1994. A critique of pure vision. In Large-Scale Neuronal Theories of the Brain. C. Koch & S. Davis, Eds.: 23-60. MIT Press. Cambridge, MA.
41. AHLFORS, S.P. et al. 1999. Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI. J. Neurophysiol. 82: 2545-2555.
42. HILLEBRAND, A. & G.R. BARNES. 2003. The use of anatomical constraints with MEG beamformers. NeuroImage 20: 2302-2313.
43. BROOKES, M., A. GIBSON, S.D. HALL, et al. 2005. GLM-beamformer method demonstrates stationary field: alpha ERD and gamma ERS co-localisation with fMRI BOLD response in visual cortex. NeuroImage 26: 302-308.
44. KENNING, P. et al. 2007. Applications of functional magnetic resonance imaging for market research. Qualitative Market Research: An International Journal 10: 135-152.
45. CAFFYN, J.M. 1964. Psychological laboratory techniques in cognitive research. J. Advert. Res. 4: 45-50.
46. GROEPPEL-KLEIN, A. 2005. Arousal and consumer in-store behavior. Brain. Res. Bull. 67: 428-437.
47. HENSEL, J.S. 1970. Physiological measures of advertising effectiveness: a theoretical and empirical investigation. Ph.D. thesis. Ohio State University, Columbus.
48. KROEBER-REIL, W. 1979. Activation research: psychobiological approaches in consumer research. J. Consum. Res. 5: 240-250.
49. PIETERS, R. et al. 1999. Visual attention to repeated print advertising: a test of scanpath theory. J. Marketing Res. 36: 424-438.
50. PIETERS, R. & L. WARLOP. 1999. Visual attention during brand choice: the impact of time pressure and task motivation. Int. J. Res. Mark. 16: 1-16.
51. WEINSTEIN, S. et al. 1980. Brain activity responses to magazine and television advertising. J. Advert. Res. 20: 57-63.
52. WEINSTEIN, S. et al. 1984. Brain wave analysis in advertising research: validation from basic research and independent replications. Psychol. Mark. 1: 83-95.
53. YOUNG, C. 2002. Brain waves, picture sorts®, and branding moments. J. Advert. Res. 42: 42-53.
54. GEHRING, J.W., & A.R. WILLOUGHBY. 2002. The medial frontal cortex and the rapid processing of monetary gains and losses. Science 295: 2279-2282.
55. AMBLER, T. et al. 2000. Brands on the brain: neuro-images of advertising. Bus. Strategy Rev. 11: 17-30.
56. AMBLER, T. et al. 2004 Salience and choice: neural correlates of shopping decisions. Psychol. Market. 21: 247-266.
57. BRAEUTIGAM, S. et al. 2004. The distributed neuronal systems supporting choice-making in real-life situations: differences between men and women when choosing groceries detected using magnetoencephalography. Eur. J. Neurosci. 20: 293-302.
58. DEPPE, M. et al. 2005. Non-linear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. J. Neuroimaging 15: 171-182.
59. ERK, S. et al. 2002. Cultural objects modulate reward circuitry. Neuroreport 13: 2499-2503.
60. KING-CASAS, B. et al. 2005. Getting to know you: reputation and trust in a two-person economic exchange. Science 308: 78-83.
61. MCCLURE, S.M. et al. 2004. Neural correlates of behavioral preference for culturally familiar drinks. Neuron 44: 379-387.
62. EDITORIAL. 2004. The Lancet neurology: neuromarketing, beyond branding. Lancet 3: 71.
63. DAMASIO, A.R. 1994. Descartes' Error: Emotion, Reason, and the Human Brain. Macmillan. London, UK.
64. BECHARA, A. et al. 2000. Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain 123: 2189-2202.
65. ADOLPHS, R. & D. TRANEL. 2000. Emotion recognition and the human amygdala. In The Amygdala: A Functional Analysis. J.P. Aggleton, Ed.: 587-630. Oxford University Press. New York, NY.
66. BECHARA, A. et al. 1999. Different contributions of the human amygdala and ventromedial prefrontal cortex to decision-making. J. Neurosci. 19: 5473-5481.
67. DAY, D.V. 2000. Leadership development: a review in context. Leadership Quart. 11: 581-613.
68. SENIOR, C. 2003. Beauty in the brain of the beholder. Neuron 38: 525-528.
69. ISHAI, A. 2007. Sex, beauty and the orbitofrontal cortex. Int. J. Psychophysiol. 63: 181-185.
70. SENIOR, C. et al. 2007. The effects of the menstrual cycle on social decision making. Int. J. Psychophysiol. 63: 186-191.
71. UHER, R. & J. TREASURE. 2003. Neuroimaging and eating disorders. In Neuroimaging in Psychiatry: 171-191. C. Senior, C. Fu, T.A. Russell, D. Weinberger & R. Murray, Eds.: Dunitz Press, UK.
72. WHETTON C. & T. SWINDELLS. 1977. A factor analysis of the BEM Sex-Role Inventory. J. Clin. Psychol. 33: 150-153.
73. MATTAY, V.S. et al. 2006. Imaging genetics. In Methods in Mind. C. Senior, T. Russell & M.S. Gazzaniga, Eds.: 263-290. MIT Press. Cambridge, MA.
74. EGAN, M.F. et al. 2001. Effect of COMT Val108/158Met genotype on frontal lobe function and risk for schizophrenia. Proc. Natl. Acad. Sci. USA 98: 6917-6922.
75. MATTAY, V.S. et al. 2003. Catechol-O-methyltransferase val158-met genotype and individual variation in the brain response to amphetamine. Proc. Natl. Acad. Sci. USA 100: 6186-6191.
76. HARIRI, A.R. & D.R. WEINBERGER. 2003. Functional neuroimaging of genetic variation in serotonorgic neurotransmission. Genes and Brain Behavior 2: 341-349.
77. HARIRI, A.R. et al. 2002. Serotonin transporter genetic variation and the response of the human amygdala. Science 297: 400-403.
78. HARIRI, A.R. et al. 2003. Brain-derived neurotropic factor val66met polymorphism affects human memory-related hippocampal activity and predicts memory performance. J. Neurosci. 23: 6690-6694.
79. KERSTEN, E.L. 2006. The HBR List: breakthroough ideas for 2006. Harv. Bus. Rev. February 2006: 35-67.