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Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements

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Abstract

In this study we were interested to analyse the brain activity occurring during the “naturalistic” observation of commercial ads intermingled in a random order within a documentary. In order to measure both the brain activity and the emotional engage of the 15 healthy subjects investigated, we used simultaneous EEG, Galvanic Skin Response (GSR), Heart Rate (HR) recordings during the whole experiment. We would like to link significant variation of EEG, GSR, HR and Heart Rate Variability (HRV) measurements with the memory and pleasantness of the stimuli presented, as resulted successively from the subject’s verbal interview. In order to do that, different indexes were employed to summarize the cerebral and autonomic measurements performed. Such indexes were used in the statistical analysis, performed with the use of Analysis of Variance (ANOVA) and z-score transformation of the estimated cortical activity by solving the associated EEG inverse problem. The results are summarized as follows: (1) in the population analyzed, the cortical activity in the theta band elicited during the observation of the TV commercials that were remembered is higher and localized in the left frontal brain areas when compared to the activity elicited during the vision of the TV commercials that were forgotten (p < 0.048). Same increase in the theta activity occurred during the observation of commercials that were judgment pleasant when compared with the other (p < 0.042). Differences in cortical activity were also observed for the gamma activity, bilaterally in frontal and prefrontal areas. (2) the HR and HRV activity elicited during the observation of the TV commercials that were remembered or judged pleasant is higher than the same activity during the observation of commercials that will be forgotten (p < 0.001 and p < 0.048, respectively for HR and HRV) or were judged unpleasant (p < 0.042 and p < 0.04, respectively for HR and HRV). No statistical differences between the level of the GSR values were observed across the experimental conditions. In conclusion, the TV commercials proposed to the population analyzed have increased the HR values and the cerebral activity mainly in the theta band in the left hemisphere when they will be memorized and judged pleasant. Further research with an extended set of subjects will be necessary to further validate the observations reported in this paper. However, these conclusions seems reasonable and well inserted in the already existing literature on this topic related to the HERA model.

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References

  • Aftanas LI, Reva NV, Varlamov AA, Pavlov SV, Makhnev VP (2004) Analysis of evoked EEG synchronization and desynchronization in conditions of emotional activation in humans: temporal and topographic characteristics. Neurosci Behav Physiol 34(8):859–867

    CAS  Google Scholar 

  • Ambler T, Ioannides A, Rose S (2000) Brands on the brain: neuroimages of advertising. Bus Strategy Rev 11(3):17–30

    Article  Google Scholar 

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

    Article  PubMed  Google Scholar 

  • Astolfi L, De Vico Fallani F, Cincotti F, Mattia D, Marciani MG, Bufalari S, Salinari S, Colosimo Alfredo, Ding L, Edgar JC, Heller W, Miller GA, He B, Babiloni F (2007b) Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Psychophysology 44(6):880–893

    Article  CAS  Google Scholar 

  • Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Tocci A, Colosimo A, Salinari S, Marciani MG, Hesse W, Witte H, Ursino M, Zavaglia M, Babiloni F (2008a) Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators. IEEE Trans Biomed Eng 55(3):902–913

    Article  CAS  PubMed  Google Scholar 

  • Astolfi L, De Vico Fallani F, Cincotti F, Mattia D, Bianchi L, Marciani MG, Salinari S, Colosimo A, Tocci A, Soranzo R, Babiloni F (2008b) Neural basis for brain responses to TV commercials: a high-resolution EEG study. IEEE Trans Neural Syst Rehabil Eng 16(6):522–531

    Article  PubMed  Google Scholar 

  • Babiloni C, Babiloni F, Carducci F, Cincotti F, Rosciarelli F, Rossini PM, Arendt-Nielsen L, Chen ACN (2001) Mapping of early and late human somatosensory evoked brain potentials to phasic galvanic painful stimulation. Hum Brain Mapp 12(3):168–179

    Article  CAS  PubMed  Google Scholar 

  • Babiloni F, Cincotti F, Babiloni C, Carducci F, Basilisco A, Rossini PM, Mattia D, Astolfi L, Ding L, Ni Y, Cheng K, Christine K, Sweeney J, He B (2005) 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

    Google Scholar 

  • Baldaro B, Mazzetti M, Codispoti M, Tuozzi G, Bolzani R, Trombini G (2001) Autonomic reactivity during viewing of an unpleasant film. Percept Mot Skills 93:797–805

    Article  CAS  PubMed  Google Scholar 

  • Baumgartner T, Esslen M, Jancke L (2006) From emotion perception to emotion experience: emotions evoked by pictures and classical music. Int J Psychophysiol 60:34–43

    Google Scholar 

  • Berntson GG, Bigger JT Jr, Eckberg DL, Grossman P, Kaufmann PG, Malik M et al (1997) Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 34:623–648

    Article  CAS  PubMed  Google Scholar 

  • Boucsein W (1992) Electrodermal activity. Plenum Press, New York

    Google Scholar 

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

    Article  PubMed  Google Scholar 

  • Dale A, Liu A, Fischl B, Buckner R, Belliveau JW, Lewine J, Halgren E (2000) Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron 26:55–67

    Article  CAS  PubMed  Google Scholar 

  • De Vico Fallani F, Astolfi L, Cincotti F, Mattia D, Marciani MG, Salinari S, Kurths J, Cichocki A, Gao S, Colosimo A, Babiloni F (2007) Cortical functional connectivity networks in normal and spinal cord injured patients: evaluation by graph analysis. Hum Brain Mapp 28(12):1334–1346

    Article  PubMed  Google Scholar 

  • Ding L, Lai Y, He B (2005) Low-resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study. Phys Med Biol 50:45–56

    Article  PubMed  Google Scholar 

  • Fowles DC et al (1981) Publication recommendations for electrodermal measurements. Psychophysiology 18:232–239

    Article  CAS  PubMed  Google Scholar 

  • Franzen G, Bouwman M (2001) The mental world of brands. World Advertising Center, Henley-on-Thames

    Google Scholar 

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

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

    Article  CAS  PubMed  Google Scholar 

  • He B, Hori J, Babiloni F (2006) EEG inverse problems. In: Akay M (ed) Wiley encyclopedia in biomedical engineering. John Wiley & Sons, Inc, pp 1355–1363

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

    Google Scholar 

  • Kato J, Ide H, Kabashima I, Kadota H, Takano K, Kansaku K (2009) Neural correlates of attitude change following positive and negative advertisements. Front Behav Neurosci 3:6

    Article  PubMed  Google Scholar 

  • Klucharev V, Fernandez G., Smidts A (2008) Brain mechanisms of persuasion: How “expert power” modulates memory and attitudes. Soc Cogn Affect Neurosci 3(4):353–366

    Google Scholar 

  • Knutson B, Rick S, Wimmer GE, Prelec D, Loewenstein G (2007) Neural predictors of purchases. Neuron 53:147–156

    Article  CAS  PubMed  Google Scholar 

  • Kreibig SD, Wilhelm FH, Roth WT, Gross JJ (2007) Cardiovascular electrodermal and respiratory response patterns to fear- and sadness-inducing films. Psychophysiology 44(5):787–806

    Article  PubMed  Google Scholar 

  • Lehmann D, Skrandies W (1980) Reference-free identification of components of checkerboard-evoked multichannel potential fields. Electroencephalogr Clin Neurophysiol 48:609–621

    Article  CAS  PubMed  Google Scholar 

  • Malik et al (1996) Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Eur Heart J 17:354–381

    Google Scholar 

  • Malliani A (2005) Heart rate variability: from bench to bedside. Eur J Intern Med 16(1):12–20

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  • Mendez M, Bianchi AM, Villantieri O, Cerutti S (2006) Time-varying analysis of the heart rate variability during REM and non REM sleep stages. Conf Proc IEEE Eng Med Biol Soc 1:3576–3579

    Article  CAS  PubMed  Google Scholar 

  • Montano N, Porta A, Cogliati C, Costantino G, Tobaldini E, Casali KR, Iellamo F (2009) Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci Biobehav Rev 33(2):71–80

    Article  PubMed  Google Scholar 

  • Morris JD, Klahr NJ, Shen F, Villegas J, Wright P, He G, Liu Y (2009) Mapping a multidimensional emotion in response to television commercials. Hum Brain Mapp 30(3):789–796

    Article  PubMed  Google Scholar 

  • Nagai Y, Critchley HD, Featherstone E, Fenwick PB, Trimble MR, Dolan RJ (2004) Brain activity relating to the contingent negative variation: an fMRI investigation. Neuroimage 21(4):1232–1241

    Article  CAS  PubMed  Google Scholar 

  • Nunez PL (1995) Neocortical dynamics and human EEG rhythms. Oxford University Press, New York

    Google Scholar 

  • Oliveri M, Babiloni C, Filippi MM, Caltagirone C, Babiloni F, Cicinelli P, Traversa R, Palmieri MG, Rossini PM (2003) Influence of the supplementary motor area on primary motor cortex excitability during movements triggered by neutral or emotionally unpleasant visual cues. Exp Brain Res 149(2):214–221

    CAS  PubMed  Google Scholar 

  • Palomba D, Sarlo M, Angrilli A, Mini A, Stegagno L (2000) Cardiac responses associated with affective processing of unpleasant film stimuli. Int J Psychophysiol 36:45–57

    Article  CAS  PubMed  Google Scholar 

  • Steptoe A, Wardle J (1988) Emotional fainting and the psychophysiologic response to blood and injury: autonomic mechanisms and coping strategies. Psychosom Med 50:402–417

    CAS  PubMed  Google Scholar 

  • Summerfield C, Mangels JA (2005) Coherent theta-band EEG activity predicts item-context binding during encoding. Neuroimage 24(3):692–703

    Article  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  • Urbano A, Babiloni C, Carducci F, Fattorini L, Onorati P, Babiloni F (1998) Dynamic functional coupling of high resolution EEG potentials related to unilateral internally triggered one-digit movements. Electroencephalogr Clin Neurophysiol 106:477–487

    Article  CAS  PubMed  Google Scholar 

  • Venables PH (1991) Autonomic activity. Ann NY Acad Sci 620:191–207; Review

    Article  CAS  PubMed  Google Scholar 

  • Welch PD (1967) The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoustics AU-15:70–73

    Article  Google Scholar 

  • Werkle-Bergner M, Muller V, Li S-C, Lindenberger U (2006) Cortical EEG correlates of successful memory encoding: Implications for lifespan comparisons. Neurosci Biobehav Rev 30:839–854

    Article  PubMed  Google Scholar 

  • Zaltman G (2003) How customer think. Harvard Business School Press

  • Zar FH (1984) Biostatistical analysis. Prentice Hall, New York

    Google Scholar 

Download references

Acknowledgments

This study was performed with support of the European Union, through the COST program NEUROMATH (BM0601). This paper only reflects the authors’ views and funding agency is not liable for any use that may be made of the information contained herein.

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Correspondence to Fabio Babiloni.

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This is one of several papers published together in Brain Topography on the “Special Topic: Cortical Network Analysis with EEG/MEG”.

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Vecchiato, G., Astolfi, L., De Vico Fallani, F. et al. Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements. Brain Topogr 23, 165–179 (2010). https://doi.org/10.1007/s10548-009-0127-0

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