Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6456))

  • 1199 Accesses

Abstract

In recent years the engagement of the customer with the brand or the company advertised has become the dominant issue in the agenda of marketers and advertisers. The aim of this paper is to elucidate if the remembering of TV commercials elicits particular brain activity and connectivity. Results suggest that the cortical activity and connectivity during the vision of the TV commercials that will be remembered by the analyzed healthy subjects is markedly different from the brain activity elicited during the observation of the TV commercials that will be forgotten. In particular, during the observation of the TV commercials that will be successively remembered the amount of cortical spectral activity from the frontal areas (BA 8 and 9) and from the parietal areas (BA 5, 7 and 40) is higher on when compared with the activity elicited by the observation of TV commercials that will be forgotten. The techniques presented here are also relevant in neuroeconomics and neuromarketing in order to investigate the neural substrates sub-serving other decision-making and recognition tasks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cappo, J.: The Future of Advertising: New Media, New Clients, New Consumers in the Post-Television Age. McGraw-Hill, New York (2005)

    Google Scholar 

  2. Heath, R.: The Hidden Power of Advertising. World Advertising Research Center, Henley-on-Thames (2001)

    Google Scholar 

  3. McDonald, C.: Is your advertising working? World Advertising Center, Henley-on-Thames (2003)

    Google Scholar 

  4. Zaltman, G.: How Customer Think. Harvard Business School Press, Boston (2003)

    Google Scholar 

  5. Giep, F., Margot, B.: The Mental World of Brands. World Advertising Center, Henley-on-Thames (2001)

    Google Scholar 

  6. Lo Iodice, B.: Trends to Watch in 2008, Adage website (2007), http://adage.com/article?article_id=122609

  7. Zenith Optimedia (media services agency), Global ad market to accelerate in 2008 despite credit squeeze (2007), http://www.zenithoptimedia.com/about/news/pdf/Adspend%20forecasts%20December%202007.pdf

  8. Krugman, H.E.: Brain wave measures of media involvement. J. Advert. Res. 11, 3–10 (1971)

    Google Scholar 

  9. Ioannides, L., Theofilou, D., Burne, T., Ambler, T., Rose, S.: Real time processing of affective and cognitive stimuli in the human brain extracted from MEG signals. Brain Top. 13, 11–19 (2000)

    Article  Google Scholar 

  10. Ambler, T., Burne, T.: The Impact of Affect on Memory of Advertising. Journal of Advertising Research 39(2), 25–34 (1999)

    Google Scholar 

  11. Rotschild, M., Hyun, J.: Predicting Memory for Components of TV Commercials from EEC. Journal of Consumer Research 472–478 (1989)

    Google Scholar 

  12. Rossiter, J.R., Silberstein, R.B., Harris, P.G., Nield, G.A.: Brain imaging detection of visual scene encoding in long-term memory for TV commercials. J. Advert. Res. 41, 13–21 (2001)

    Article  Google Scholar 

  13. Young, C.: Brain waves, picture sorts®, and branding moments. J. Advert. Res. 42, 42–53 (2002)

    Article  Google Scholar 

  14. Nunez, P.L.: Neocortical dynamics and human EEG rhythms. Oxford University Press, New York (1995)

    Google Scholar 

  15. Bai, X., Towle, V.L., He, E.J., He, B.: Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI. Neuroimage 35(2), 598–608 (2006)

    Article  Google Scholar 

  16. He, B., Wang, Y., Wu, D.: “Estimating cortical potentials from scalp EEG’s in a realistically shaped inhomogeneous head model by means of the boundary element method. IEEE Trans. Biomed. Eng. 46, 1264–1268 (1999)

    Article  Google Scholar 

  17. He, B., Hori, J., Babiloni, F.: EEG Inverse Problems. In: Akay, M. (ed.) Wiley Encyclopedia in Biomedical Engineering, pp. 1355–1363. John Wiley & Sons, Inc., Chichester (2006)

    Google Scholar 

  18. Ding, L., Lai, Y., He, B.: Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study. Physics in Medicine and Biology 50, 45–56 (2005)

    Article  Google Scholar 

  19. Ding, L., Worrell, G.A., Lagerlund, T.D., He, B.: Ictal Source Analysis: Localization and Imaging of Causal Interactions in Humans. NeuroImage 34, 575–586 (2007)

    Article  Google Scholar 

  20. Babiloni, F., Cincotti, F., Babiloni, C., Carducci, F., Basilisco, A., Rossini, P.M., Mattia, D., Astolfi, L., Ding, L., Ni, Y., Cheng, K., Christine, K., Sweeney, J., He, B.: Estimation of the cortical functional connectivity with the multimodal integration of high resolution EEG and fMRI data by Directed Transfer Function. Neuroimage 24(1), 118–131 (2005)

    Article  Google Scholar 

  21. Baccalà, L.A., Sameshima, K.: Partial Directed Coherence: a new concept in neural structure determination. Biol.Cybern. 84, 463–474 (2001)

    Article  MATH  Google Scholar 

  22. Astolfi, L., Cincotti, F., Mattia, D., Marciani, M.G., Baccala, L., de Vico Fallani, F., Salinari, S., Ursino, M., Zavaglia, M., Ding, L., Edgar, J.C., Miller, G.A., He, B., Babiloni, F.: Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Hum. Brain Mapp. 28(2), 143–157 (2007)

    Article  Google Scholar 

  23. De Vico Fallani, F., Astolfi, L., Cincotti, F., Mattia, D., Marciani, M.G., Salinari, S., Kurths, J., Cichocki, A., Gao, S., Colosimo, A., Babiloni, F.: Cortical Functional Connectivity Networks In Normal And Spinal Cord Injured Patients: Evaluation by Graph Analysis. In: Human Brain Mapping, February 21 (2007) (Epub ahead of print)

    Google Scholar 

  24. Grave de Peralta Menendez, R., Gonzalez Andino, S.L.: Distributed source models: standard solutions and new developments. In: Uhl, C. (ed.) Analysis of neurophysiological brain functioning, pp. 176–201. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  25. Dale, A., Liu, A., Fischl, B., Buckner, R., Belliveau, J.W., Lewine, J., Halgren, E.: Dynamic Statistical Parametric Mapping: Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity. Neuron 26, 55–67 (2000)

    Article  Google Scholar 

  26. Zar, J.: Biostatistical analysis. Prentice-Hall, Englewood Cliffs (1984)

    Google Scholar 

  27. Nowinski, W.L., Belov, D.: The Cerefy Neuroradiology Atlas: a Talairach-Tournoux atlas-based tool for analysis of neuroimages available over the internet. Neuroimage 20(1), 50–57 (2003)

    Article  Google Scholar 

  28. Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37p, 424–428 (1969)

    Google Scholar 

  29. Yook, S.H., Jeong, H., Barabási, A., Tu, Y.: Weighted Evolving Networks. Phys.Rev.Lett. 86(25), 5835–5838 (2001)

    Article  Google Scholar 

  30. Tulving, E., Kapur, S., Craik, F.I., Moscovitch, M., Houle, S.: Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings. Proc. Natl. Acad. Sci. USA 91(6), 2016–2020 (1994)

    Article  Google Scholar 

  31. Braeutigam, S., Rose, S.P.R., Swithenby, S.J., Ambler, T.: 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 (2004)

    Article  Google Scholar 

  32. Braeutigam, S.: Neuroeconomics–from neural systems to economic behaviour. Brain Res.Bull. 67(5), 355–360 (2005)

    Article  Google Scholar 

  33. Downar, J., Crawley, A.P., Mikulis, D.J., Davis, K.D.: The effect of task relevance on the cortical response to changes in visual and auditory stimuli: An event-related fMRI study. Neuroimage 14, 1256–1267 (2001)

    Article  Google Scholar 

  34. Downar, J., Crawley, A.P., Mikulis, D.J., Davis, K.D.: A cortical network sensitive to stimulus salience in a neutral behavioral context across multiple sensory modalities. J. Neurophysiol. 87, 615–620 (2002)

    Google Scholar 

  35. Yantis, S., Schwarzbach, J., Serences, J.T., Carlson, R.L., Steinmetz, M.A., Pekar, J.J., Courtney, S.M.: Transient neural activity in human parietal cortex during spatial attention shifts. Nat. Neurosci. 5, 995–1002 (2002)

    Article  Google Scholar 

  36. Yantis, S., Serences, J.T.: Cortical mechanisms of space-based and object-based attentional control. Curr. Opin. Neurobiol. 13, 187–193 (2003)

    Article  Google Scholar 

  37. Liu, T., Slotnick, S.D., Serences, J.T., Yantis, S.: Cortical mechanisms of feature-based attentional control. Cereb Cortex 13, 1334–1343 (2003)

    Article  Google Scholar 

  38. Ambler, T., Braeutigam, S., Stins, J., Rose, S.P.R., Swithenby, S.J.: Salience and choice: neural correlates of shopping decisions Psychology & Marketing, vol. 21, pp. 247–261 (2004)

    Google Scholar 

  39. Plassmann, H., Ambler, T., Braeutigam, S., Kenning, P.: Kenning What can advertisers learn from neuroscience? International Journal of Advertising 26(2), 151–175 (2007)

    Google Scholar 

  40. Gallagher, H.L., Frith, C.D.: Functional imaging of ‘Theory of Mind’. Trends Cogn. Sci. 7, 77–83 (2003)

    Article  Google Scholar 

  41. Gallagher, H.L., Jack, A.I., Roepstorff, A., Frith, C.D.: Imaging the intentional stance in a competitive game. Neuroimage 16, 814–821 (2002)

    Article  Google Scholar 

  42. Walter, H., Adenzato, M., Ciaramidaro, A., Enrici, I., Pia, L., Bara, B.G.: Understanding intentions in social interaction: The role of the anterior paracingulate cortex. J. Cogn. Neurosci. 16, 1854–1863 (2004)

    Article  Google Scholar 

  43. Bruce, K., Rick, S., Elliott Wimmer, G., Prelec, D., Loewenstein, G.: Neural Predictors of Purchases. Neuron 53, 147–156 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Vecchiato, G., Babiloni, F. (2011). Neuroelectric Methodologies for the Study of the Economic Decisions in Humans. In: Esposito, A., Esposito, A.M., Martone, R., Müller, V.C., Scarpetta, G. (eds) Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues. Lecture Notes in Computer Science, vol 6456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18184-9_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-18184-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18183-2

  • Online ISBN: 978-3-642-18184-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics