Realidad virtual y electroencefalografía en el estudio del consumo de bebidas azucaradas

Palabras clave: Realidad virtual, EEG, salud pública, bebidas azucaradas

Resumen

El consumo excesivo de bebidas azucaras (BA) constituye un problema de salud pública que aumenta el riesgo de padecer enfermedades crónicas no trasmisibles. Varios estudios demuestran la importancia del contexto situacional en el consumo de BA, pues influye en la decisión de consumo y en la experiencia subjetiva derivada de ésta. A su vez, sabemos que los estilos de vida y el tipo de alimentos que consumimos deja su marca en el cerebro y en la forma en que éste funciona. Existe un consenso general en la necesidad de abordar las problemáticas de salud pública desde varias trincheras, de forma que se puedan ofrecer alternativas efectivas que abonen tanto a la prevención como al tratamiento de los problemas derivados, en este caso, del consumo de BA. El objetivo de este ensayo es discutir el uso conjunto de realidad virtual, como herramienta para generar ambientes específicos y controlados, y el registro de la actividad eléctrica cerebral, como herramienta para obtener información sobre el funcionamiento cerebral, en el estudio del consumo de BA, exponiendo para ello hallazgos relevantes en ambos campos y enfatizando los puntos fuertes de cada técnica que son compatibles entre sí.

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Allman-Farinelli, M., Ijaz, K., Tran, H., Pallotta, H., Ramos, S., Liu, J., Wellard-Cole, L., y Calvo, R. A. (2019). A virtual reality food court to study meal choices in youth: Design and assessment of usability. JMIR Formative Research, 3(1). https://doi.org/10.2196/12456

Alonso-Alonso, M., y Pascual-Leone, A. (2007). The right brain hypothesis for obesity. JAMA (Vol. 297, Issue 16). https://doi.org/10.1001/jama.297.16.1819

Alsina, B., y Cancela, J. M. (2021). Virtual reality protocols in cardiac rehabilitation: Systematic review. Revista Colombiana de Cardiologia (Vol. 28, Issue 6). https://doi.org/10.24875/RCCAR.M21000103

Berthoud, H. R. (2004a). Mind versus metabolism in the control of food intake and energy balance. Physiology and Behavior, 81(5). https://doi.org/10.1016/j.physbeh.2004.04.034

Berthoud, H. R. (2004b). Neural control of appetite: Crosstalk between homeostatic and non-homeostatic systems. Appetite, 43(3). https://doi.org/10.1016/j.appet.2004.04.009

Berthoud, H. R. (2011). Metabolic and hedonic drives in the neural control of appetite: Who is the boss? Current Opinion in Neurobiology (Vol. 21, Issue 6). https://doi.org/10.1016/j.conb.2011.09.004

Berthoud, H. R., y Morrison, C. (2008). The brain, appetite, and obesity. Annual Review of Psychology, 59. https://doi.org/10.1146/annurev.psych.59.103006.093551

Bruce, J. M., Hancock, L., Bruce, A., Lepping, R. J., Martin, L., Lundgren, J. D., Malley, S., Holsen, L. M., y Savage, C. R. (2012). Changes in brain activation to food pictures after adjustable gastric banding. Surgery for Obesity and Related Diseases, 8(5). https://doi.org/10.1016/j.soard.2011.07.006

Burke, M. v., y Small, D. M. (2015). Physiological mechanisms by which non-nutritive sweeteners may impact body weight and metabolism. Physiology and Behavior, 152. https://doi.org/10.1016/j.physbeh.2015.05.036

Chen, Y., Huang, A. X., Faber, I., Makransky, G., y Perez-Cueto, F. J. A. (2020). Assessing the influence of visual-taste congruency on perceived sweetness and product liking in immersive VR. Foods, 9(4). https://doi.org/10.3390/foods9040465

Clydesdale., F. M., Gover, R., y Fugardi, C. (1992). The effect of color on thirst quenching, sweetness, acceptability and flavor intensity in fruit punch flavored beverages. Journal of Food Quality, 15(1). https://doi.org/10.1111/j.1745-4557.1992.tb00973.x

Coles, M. G. H., y Rugg, M. D. (1995). Event-related brain potentials: An introduction. In M. D. Rugg y M. G. H. Coles (Eds.), Electrophysiology of mind: Event-related brain potentials and cognition (1–26). Oxford University Press.

Crézé, C., Candal, L., Cros, J., Knebel, J. F., Seyssel, K., Stefanoni, N., Schneiter, P., Murray, M. M., Tappy, L., y Toepel, U. (2018). The impact of caloric and non-caloric sweeteners on food intake and brain responses to food: A randomized crossover-controlled trial in healthy humans. Nutrients, 10(5). https://doi.org/10.3390/nu10050615

DelParigi, A., Chen, K., Salbe, A. D., Hill, J. O., Wing, R. R., Reiman, E. M., y Tataranni, P. A. (2007). Successful dieters have increased neural activity in cortical areas involved in the control of behavior. International Journal of Obesity, 31(3). https://doi.org/10.1038/sj.ijo.0803431

Frank, G. K. W., Oberndorfer, T. A., Simmons, A. N., Paulus, M. P., Fudge, J. L., Yang, T. T., y Kaye, W. H. (2008). Sucrose activates human taste pathways differently from artificial sweetener. NeuroImage, 39(4). https://doi.org/10.1016/j.neuroimage.2007.10.061

Gómez-Miranda, L. M., Jiménez-Cruz, A., y Bacardí-Gascón, M. (2013). Estudios aleatorizados sobre el efecto del consumo de bebidas azucaradas sobre la adiposidad en adolescentes y adultos; Revisión sistemática. Nutricion Hospitalaria (Vol. 28, Issue 6). https://doi.org/10.3305/nh.2013.28.6.6769

González-Becerra, V., González-Cantero, J. y Abundis-Gutiérrez, A. (2021, 21 de julio). Propuesta de entrenamiento de competencias lingüísticas en realidad virtual para modular el consumo de bebidas azucaradas [ponencia]. XXXVIII Congreso Interamericano de Psicología. “70 años SIP: Aportes de la psicología en el siglo 21”. Modalidad Virtual. https://38cip.sipsych.org/wp-content/uploads/2021/07/Programa-Cientifico-V6-20julio21.pdf

Green, E., y Murphy, C. (2012). Altered processing of sweet taste in the brain of diet soda drinkers. Physiology and Behavior, 107(4). https://doi.org/10.1016/j.physbeh.2012.05.006

Hare, T. A., Camerer, C. F., y Rangel, A. (2009). Self-control in decision-Making involves modulation of the vmPFC valuation system. Science, 324(5927). https://doi.org/10.1126/science.1168450

Harris, A., Hare, T., y Rangel, A. (2013). Temporally dissociable mechanisms of self-control: Early attentional filtering versus late value modulation. Journal of Neuroscience, 33(48). https://doi.org/10.1523/JNEUROSCI.5816-12.2013

Heatherton, T. F., y Wagner, D. D. (2011). Cognitive neuroscience of self-regulation failure. Trends in Cognitive Sciences (Vol. 15, Issue 3). https://doi.org/10.1016/j.tics.2010.12.005

Jerald, J. (2015). The VR book: Human-centered design for virtual reality. Morgan y Claypool.

Jiménez-Cruz, A., Gómez-Miranda, L. M., y Bacardí-Gascón, M. (2013). Estudios aleatorizados sobre el efecto del consumo de bebidas azucaradas sobre la adiposidad en menores de 16 años; Revisión sistemática. Nutricion Hospitalaria (Vol. 28, Issue 6). https://doi.org/10.3305/nh.2013.28.6.6950

Kutas, M., y Hillyard, S. A. (1984). Event-Related Potentials in Cognitive Science. En Gazzaniga, M.S. (Ed.) Handbook of Cognitive Neuroscience (387-409). Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2177-2_19

Liang, P., Biswas, P., Vinnakota, S., Fu, L., Chen, M., Quan, Y., Zhan, Y., Zhang, G., y Roy, S. (2016). Invariant effect of vision on taste across two A sian cultures: I ndia and C hina. Journal of Sensory Studies, 31(5), 416–422.

McCaffery, J. M., Haley, A. P., Sweet, L. H., Phelan, S., Raynor, H. A., del Parigi, A., Cohen, R., y Wing, R. R. (2009). Differential functional magnetic resonance imaging response to food pictures in successful weight-loss maintainers relative to normal-weight and obese controls. American Journal of Clinical Nutrition, 90(4). https://doi.org/10.3945/ajcn.2009.27924

Menezes, M. L. R., Samara, A., Galway, L., Sant’Anna, A., Verikas, A., Alonso-Fernandez, F., Wang, H., y Bond, R. (2017). Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset. Personal and Ubiquitous Computing, 21(6). https://doi.org/10.1007/s00779-017-1072-7

Murdaugh, D. L., Cox, J. E., Cook, E. W., y Weller, R. E. (2012). FMRI reactivity to high-calorie food pictures predicts short- and long-term outcome in a weight-loss program. NeuroImage, 59(3). https://doi.org/10.1016/j.neuroimage.2011.10.071

Nock, N. L., Dimitropolous, A., Tkach, J., Frasure, H., y vonGruenigen, V. (2012). Reduction in neural activation to high-calorie food cues in obese endometrial cancer survivors after a behavioral lifestyle intervention: a pilot study. BMC Neuroscience, 13(1). https://doi.org/10.1186/1471-2202-13-74

Okajima, K., y Spence, C. (2011). Effects of Visual Food Texture on Taste Perception. I-Perception, 2(8). https://doi.org/10.1068/ic966

Organización Mundial de la Salud (2000). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. (Serie de reportes técnicos, Vol. 894). https://apps.who.int/iris/handle/10665/42330

Organización Mundial de la Salud (2015). Guideline: Sugars intake for adults and children. World Health Organization (Vol. 57, Issue 6). https://www.who.int/publications/i/item/9789241549028

Page, K. A., Chan, O., Arora, J., Belfort-DeAguiar, R., Dzuira, J., Roehmholdt, B., Cline, G. W., Naik, S., Sinha, R., Constable, R. T., y Sherwin, R. S. (2013). Effects of fructose vs glucose on regional cerebral blood flow in brain regions involved with appetite and reward pathways. JAMA, 309(1). https://doi.org/10.1001/jama.2012.116975

Pennanen, K., Närväinen, J., Vanhatalo, S., Raisamo, R., y Sozer, N. (2020). Effect of virtual eating environment on consumers’ evaluations of healthy and unhealthy snacks. Food Quality and Preference, 82, 103871

Periáñez Morales, J. A., y Barceló Galindo, F. (2004). Electrofisiología de las funciones ejecutivas. Revista de Neurología, 38(04). https://doi.org/10.33588/rn.3804.2003558

Rudenga, K. J., y Small, D. M. (2012). Amygdala response to sucrose consumption is inversely related to artificial sweetener use. Appetite, 58(2). https://doi.org/10.1016/j.appet.2011.12.001

Schloegl, H., Percik, R., Horstmann, A., Villringer, A., y Stumvoll, M. (2011). Peptide hormones regulating appetite-focus on neuroimaging studies in humans. Diabetes/Metabolism Research and Reviews (Vol. 27, Issue 2). https://doi.org/10.1002/dmrr.1154

Shamah-Levy, T., Romero-Martínez, M., Barrientos-Gutiérrez, T., Cuevas-Nasu, L., Bautista-Arredondo, S., Colchero, M., Gaona-Pineda, E. B., Lazcano-Ponce, E., Martínez-Barnetche, J., y Alpuche-Arana, C. (2021). Encuesta nacional de salud y nutrición 2020 sobre Covid-19. Resultados Nacionales. Cuernavaca: Instituto Nacional de Salud Pública de México.

Silva O., P., y Durán A., S. (2014). Bebidas azucaradas, más que un simple refresco. Revista Chilena de Nutricion (Vol. 41, Issue 1). https://doi.org/10.4067/S0717-75182014000100013

Smeets, P. A. M., de Graaf, C., Stafleu, A., van Osch, M. J. P., y van der Grond, J. (2005). Functional MRI of human hypothalamic responses following glucose ingestion. NeuroImage, 24(2). https://doi.org/10.1016/j.neuroimage.2004.07.073

Spence, C., Wan, X., Woods, A., Velasco, C., Deng, J., Youssef, J., y Deroy, O. (2015). On tasty colours and colourful tastes? Assessing, explaining, and utilizing crossmodal correspondences between colours and basic tastes. Flavour, 4(1). https://doi.org/10.1186/s13411-015-0033-1

Stoeckel, L. E., Weller, R. E., Cook, E. W., Twieg, D. B., Knowlton, R. C., y Cox, J. E. (2008). Widespread reward-system activation in obese women in response to pictures of high-calorie foods. NeuroImage, 41(2). https://doi.org/10.1016/j.neuroimage.2008.02.031

Stopyra, M. A., Friederich, H. C., Lavandier, N., Mönning, E., Bendszus, M., Herzog, W., y Simon, J. J. (2021). Homeostasis and food craving in obesity: a functional MRI study. International Journal of Obesity, 45(11). https://doi.org/10.1038/s41366-021-00920-4

Suzuki, C., Narumi, T., Tanikawa, T., y Hirose, M. (2014). Affecting tumbler: affecting our flavor perception with thermal feedback. Proceedings of the 11th Conference on Advances in Computer Entertainment Technology, 1–10.

Suzuki, K., Simpson, K. A., Minnion, J. S., Shillito, J. C., y Bloom, S. R. (2010). The role of gut hormones and the hypothalamus in appetite regulation. Endocrine Journal (Vol. 57, Issue 5). https://doi.org/10.1507/endocrj.K10E-077

Swithers, S. E. (2013). Artificial sweeteners produce the counterintuitive effect of inducing metabolic derangements. Trends in Endocrinology and Metabolism (Vol. 24, Issue 9). https://doi.org/10.1016/j.tem.2013.05.005

Torrico, D. D., Sharma, C., Dong, W., Fuentes, S., Gonzalez Viejo, C., y Dunshea, F. R. (2021). Virtual reality environments on the sensory acceptability and emotional responses of no- and full-sugar chocolate. LWT, 137. https://doi.org/10.1016/j.lwt.2020.110383

van der Laan, L. N., de Ridder, D. T. D., Viergever, M. A., y Smeets, P. A. M. (2011). The first taste is always with the eyes: A meta-analysis on the neural correlates of processing visual food cues. NeuroImage, 55(1). https://doi.org/10.1016/j.neuroimage.2010.11.055

van Opstal, A. M., Hafkemeijer, A., van den Berg-Huysmans, A. A., Hoeksma, M., Mulder, T. P. J., Pijl, H., Rombouts, S. A. R. B., y van der Grond, J. (2021). Brain activity and connectivity changes in response to nutritive natural sugars, non-nutritive natural sugar replacements and artificial sweeteners. Nutritional Neuroscience, 24(5). https://doi.org/10.1080/1028415X.2019.1639306

Wang, Q. J., Woods, A. T., y Spence, C. (2015). “What’s your taste in music?” a comparison of the effectiveness of various soundscapes in evoking specific tastes. I-Perception, 6(6). https://doi.org/10.1177/2041669515622001

Weber, S., Reßing, C., Freude, H., y Niehaves, B. (2020, 22 de junio). Motivating for healthier drinking behavior: Applying the health action process approach in virtual reality [ponencia]. Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, Dubai, EAU.

Weygandt, M., Mai, K., Dommes, E., Ritter, K., Leupelt, V., Spranger, J., y Haynes, J. D. (2015). Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity. NeuroImage, 109. https://doi.org/10.1016/j.neuroimage.2014.12.073

Xu, C., Siegrist, M., y Hartmann, C. (2021). The application of virtual reality in food consumer behavior research: A systematic review. Trends in Food Science and Technology (Vol. 116). https://doi.org/10.1016/j.tifs.2021.07.015

Yu, L., Zhou, H., Zheng, F., Song, J., Lu, Y., Yu, X., y Zhao, C. (2022). Sugar Is the Key Cause of Overweight/Obesity in Sugar-Sweetened Beverages (SSB). Frontiers in Nutrition, 9.

Yunquera Peñaranda, E. (2019). Realidad Virtual y su aplicación en fisioterapia pediátrica. Revisión bibliográfica.

Zaragoza-Martí, A., Norte-Navarro, A., Fernández-Sáez, J., Hurtado-Sánchez, J. A., y Ortiz-Moncada, R. (2013). Tipo de bebidas consumidas por los estudiantes universitarios. Revista Espanola de Nutricion Comunitaria, 19(2).

Publicado
2023-01-05
Cómo citar
Abundis Gutiérrez, A., González Becerra, V. H., González Cantero, J. O., & Alcázar Huerta, J. R. (2023). Realidad virtual y electroencefalografía en el estudio del consumo de bebidas azucaradas. Boletín Científico De La Escuela Superior Atotonilco De Tula, 10(19), 15-21. https://doi.org/10.29057/esat.v10i19.9998