Abstract
To clarify the intrinsic food preference mechanism, we investigated neurophysiological responses to unpleasant gustatory stimuli using electroencephalogram (EEG) and near-infrared hemoencepalogram (NIR-HEG) simultaneously. A conventional delayed response task paradigm was performed in the experiment. Results showed excessive evoked EEG potentials in both bitter and sour responses, but not in purified water which was a control condition. Therefore we suggested that these potentials would be only attributed to gustatory stimuli. As these potentials appeared before P3, we considered that they are unconscious electrophysiological early markers for attention. We also identified contingent negative variation (CNV) in a late stage for sour stimulus and corresponding clear P3. In addition, NIR-HEG responses showed a rise for every stimulus and, in particular, bitterness gave larger rise than sourness. In spite of limitation to timing accuracy of taste presentations, the early markers found in this study could be fundamentals for investigating individual food preference.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kato, Y.: Relationship among stress, drive for thinness, and eating behavior of female university students: Attitude toward sweetness an inclination to eating disorders. Japan Society of Home Economics 55(8), 453–461 (2007)
Parrott, M.D., Greenwood, C.E.: Dietary influences on cognitive function with aging: from high-fat diets to healthful eating. Ann. N. Y. Acad. Sci. 1114, 389–397 (2007)
Smith, M.A., Riby, L.M., Sunram-Lea, S.I., van Eekelen, J.A., Foster, J.K.: Glucose modulates Event-related potential components of recollection and familiarity in healthy adolescents. Psychopharmacology 205(1), 11–20 (2009)
Riby, L.M., McLaughlin, J., Riby, D.M.: Lifestyle, glucose regulation and the cognitive effects of glucose load in middle-aged adults. Br. J. Nutr. 100(5), 1128–1134 (2008)
Chiu, P., Ambaby, N., Deldin, P.: Contingent negative variation to emotional in- and out-group stimuli differentiated high- and low-prejudiced individuals. J. Cogn. Neurosci. 16(10), 1830–1839 (2004)
Kozawa, S., Fukuda, Y.: Standard physiology, p. 294. Igaku-shoin, Tokyo (2009)
Behrens, M., Meyerhof, W.: Bitter taste receptors and human bitter taste perception. Cell Mol. Life Sci. 63, 1501–1509 (2006)
Mizoguchi, C., Kobayakawa, T., Saito, S., Ogawa, H.: Gustatory evoked cortical activity in humans studied by simultaneous EEG and MEG recording. Chem. Senses 27(7), 629–634 (2002)
Wada, M.: Evoked responses to taste stimulation. Int. Tinnitus J. 11(1), 43–47 (2005)
Ohla, K., Toepel, U., le Coutre, J., Hudry, J.: Electrical neuroimaging reveals intensity-dependent activation of human cortical gustatory and somatosensory areas by electric taste. Biol. Psychol. 85(3), 446–455 (2010)
Brunia, C., Damen, E.: Distribution of slow-potentials related to motor preparation and stimulus anticipation in a time estimation task. Electroencephalagraphy and Clinical Neurophysiology 69, 234–243 (1988)
Kringebach, M.L., de Araujo, I.E., Rolls, E.T.: Taste-related activity in the human dorsolater prefrontal cortex. Neuroimage 23(4), 781–788 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, C., Katagiri, Y., Kato, Y., Luo, Z. (2014). Early Neurological Markers for Unconscious Detection of Bitter and Sour Taste for Investigating Taste Preferences. In: Pham, T.D., Ichikawa, K., Oyama-Higa, M., Coomans, D., Jiang, X. (eds) Biomedical Informatics and Technology. ACBIT 2013. Communications in Computer and Information Science, vol 404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54121-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-54121-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54120-9
Online ISBN: 978-3-642-54121-6
eBook Packages: Computer ScienceComputer Science (R0)