Comparison of p300 in risk-seeker and risk-averse people during simple gambling task

Authors
Abstract
Risk preference, the degree of tendency to take risk, has a fundamental role at individual and social health and is divided to risk seeker and risk averse. Therefore, the study of neural corelates of risk preferences is essential at the field of psychology and psychiatry. The current study aimed to examine and compare an ERP component named P300 between subjects with different risk preferences.

Method: 28 people placed in two groups of risk seeker and risk averse (14 each group). Subjects performed simple gambling task. ERP data were processed by MATLAB software and ERPlab. Repeated measurement ANOVA was used to analyze data.

Results: analysis of behavioral data presented that risk seekers selected low risk option more than high risk, but there was no significant difference of reaction time between groups. ERP analysis showed a significant decrease of P300 amplitude in risk seekers compared to risk averse when selecting high risk option. This result shows the importance of the differences in dopaminergic and motivational pathways of risk seekers during reward processing compared to healthy and risk-averse groups. Based on this result, it may be possible to consider the P300 component as a suitable indicator in clinical evaluations.
Keywords

Blum, K., Gardner, E., Oscar-Berman, M., & Gold, M. (2012). “Liking” and “wanting” linked to Reward Deficiency Syndrome (RDS): hypothesizing differential responsivity in brain reward circuitry. Current pharmaceutical de sign, 18(1), 113-118.
Bromberg-Martin, E. S., Matsumoto, M., & Hikosaka, O. (2010). Dopamine in motivational control: rewarding, aversive, and alerting. Neuron, 68(5), 815-834.
Carrillo-de-la-Peña, M. T., & Garcıa-Larrea, L. (1999). On the validity of interblock averaging of P300 in clinical settings. International journal of psychophysiology, 34(2), 103-112.
Chandrakumar, D., Feuerriegel, D., Bode, S., Grech, M., & Keage, H. A. (2018). Event-related potentials in relation to risk-taking: a systematic review. Frontiers in behavioral neuroscience, 111.
Chang, N. H. S., Kumakura, Y., Møller, A., Linnet, J., Bender, D., Doudet, D. J., ... & Gjedde, A. (2022). On the learning of addictive behavior: Sensation-seeking propensity predicts dopamine turnover in dorsal striatum. Brain Imaging and Behavior, 16(1), 355-365.
Chu, C. L., Lee, I. H., Chi, M. H., Chen, K. C., Chen, P. S., Yao, W. J., ... & Yang, Y. K. (2018). Availability of dopamine transporters and auditory P300 abnormalities in adults with attention-deficit hyperactivity disorder: preliminary results. CNS spectrums, 23(4), 264-270.
Comings, D. E., & Blum, K. (2000). Reward deficiency syndrome: genetic aspects of behavioral disorders. Progress in brain research, 126, 325-341.
de-Juan-Ripoll, C., Chicchi Giglioli, I. A., Llanes-Jurado, J., Marín-Morales, J., & Alcañiz, M. (2021). Why do we take risks? Perception of the situation and risk proneness predict domain-specific risk taking. Frontiers in psychology, 12, 562381.
Dreber, A., & Hoffman, M. (2010). Biological basis of sex differences in risk aversion and competitiveness. Stockholm: Stockhom School of Economics.
Gehring, W. J., & Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295(5563), 2279-2282.
Glazer, J. E., Kelley, N. J., Pornpattananangkul, N., Mittal, V. A., & Nusslock, R. (2018). Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processing. International Journal of Psychophysiology, 132, 184-202.
Heinz, A., Siessmeier, T., Wrase, J., Hermann, D., Klein, S., Grüsser-Sinopoli, S. M., ... & Bartenstein, P. (2004). Correlation between dopamine D2 receptors in the ventral striatum and central processing of alcohol cues and craving. American Journal of Psychiatry, 161(10), 1783-1789.
Hill, S. Y., Locke, J., Zezza, N., Kaplan, B., Neiswanger, K., Steinhauer, S. R., ... & Xu, J. (1998). Genetic association between reduced P300 amplitude and the DRD2 dopamine receptor A1 allele in children at high risk for alcoholism. Biological Psychiatry, 43(1), 40-51.
Hui, M. A., & Gang, Z. H. U. (2014). The dopamine system and alcohol dependence. Shanghai archives of psychiatry, 26(2), 61.
Kahneman, D., & Tversky, A. (1979). On the interpretation of intuitive probability: A reply to Jonathan Cohen.
Kardos, Z., Tóth, B., Boha, R., File, B., & Molnár, M. (2017). Age-dependent characteristics of feedback evaluation related to monetary gains and losses. International Journal of Psychophysiology, 122, 42-49.
Kohno, M., Ghahremani, D. G., Morales, A. M., Robertson, C. L., Ishibashi, K., Morgan, A. T., ... & London, E. D. (2015). Risk-taking behavior: dopamine D2/D3 receptors, feedback, and frontolimbic activity. Cerebral cortex, 25(1), 236-245.
Kruschwitz, J. D., Simmons, A. N., Flagan, T., & Paulus, M. P. (2012). Nothing to lose: processing blindness to potential losses drives thrill and adventure seekers. Neuroimage, 59(3), 2850-2859.
Lee, R. S., Mattar, M. G., Parker, N. F., Witten, I. B., & Daw, N. D. (2019). Reward prediction error does not explain movement selectivity in DMS-projecting dopamine neurons. Elife, 8, e42992.
Leng, Y., & Zhou, X. (2014). Interpersonal relationship modulates brain responses to outcome evaluation when gambling for/against others: an electrophysiological analysis. Neuropsychologia, 63, 205-214.
Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., ... & Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: the Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75.
Linnet, J. (2020). The anticipatory dopamine response in addiction: A common neurobiological underpinning of gambling disorder and substance use disorder?. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 98, 109802.
London, E. D. (2020). Human brain imaging links dopaminergic systems to impulsivity. In Recent Advances in Research on Impulsivity and Impulsive Behaviors (pp. 53-71). Springer, Cham.
Madigan, M. A., Gupta, A., Bowirrat, A., Baron, D., Badgaiyan, R. D., Elman, I., ... & Blum, K. (2022). Precision Behavioral Management (PBM) and Cognitive Control as a Potential Therapeutic and Prophylactic Modality for Reward Deficiency Syndrome (RDS): Is There Enough Evidence?. International Journal of Environmental Research and Public Health, 19(11), 6395.
Mata, R., Frey, R., Richter, D., Schupp, J., & Hertwig, R. (2018). Risk preference: A view from psychology. Journal of Economic Perspectives, 32(2), 155-72.
Nasri, S., Nazari, M. A., Maiqani, E., Shahrokhi, H., & Goodarzi, I. (2018). Risk-taking and behavioral inhibition interaction in ADHD-with and without conduct disorder-compared with control children. Shenakht journal of psychology & psychiatry, 5(4), 63-77.
Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005). Decision making, the P3, and the locus coeruleus--norepinephrine system. Psychological bulletin, 131(4), 510.
Nusslock, R., & Alloy, L. B. (2017). Reward processing and mood-related symptoms: An RDoC and translational neuroscience perspective. Journal of affective disorders, 216, 3-16.
Oldham, S., Murawski, C., Fornito, A., Youssef, G., Yücel, M., & Lorenzetti, V. (2018). The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task. Human brain mapping, 39(8), 3398-3418.
Ott, T., & Nieder, A. (2019). Dopamine and cognitive control in prefrontal cortex. Trends in cognitive sciences, 23(3), 213-234.
Paulsen, D. J., Carter, R. M., Platt, M. L., Huettel, S. A., & Brannon, E. M. (2012). Neurocognitive development of risk aversion from early childhood to adulthood. Frontiers in human neuroscience, 5, 178.
Peters, J., Vega, T., Weinstein, D., Mitchell, J., & Kayser, A. (2020). Dopamine and risky decision-making in gambling disorder. Eneuro, 7(3).
Pogarell, O., Padberg, F., Karch, S., Segmiller, F., Juckel, G., Mulert, C., ... & Koch, W. (2011). Dopaminergic mechanisms of target detection—P300 event related potential and striatal dopamine. Psychiatry Research: Neuroimaging, 194(3), 212-218.
Polich, J. (2007). Updating P300: an integrative theory of P3a and P3b. Clinical neurophysiology, 118(10), 2128-2148.
Rangel, A., Camerer, C., & Montague, P. R. (2008). A framework for studying the neurobiology of value-based decision making. Nature reviews neuroscience, 9(7), 545-556.
Schultz, W. (2022). Dopamine reward prediction error coding. Dialogues in clinical neuroscience.
Spitta, G., Gleich, T., Zacharias, K., Butler, O., Buchert, R., & Gallinat, J. (2022). Extrastriatal dopamine D2/3 receptor availability in alcohol use disorder and individuals at high risk. Neuropsychobiology, 1-10.
Steinberg, L. (2013). The influence of neuroscience on US Supreme Court decisions about adolescents' criminal culpability. Nature Reviews Neuroscience, 14(7), 513-518.
Weiland, B. J., Heitzeg, M. M., Zald, D., Cummiford, C., Love, T., Zucker, R. A., & Zubieta, J. K. (2014). Relationship between impulsivity, prefrontal anticipatory activation, and striatal dopamine release during rewarded task performance. Psychiatry Research: Neuroimaging, 223(3), 244-252.
Zheng, Y., & Liu, X. (2015). Blunted neural responses to monetary risk in high sensation seekers. Neuropsychologia, 71, 173-180.
Zheng, Y., Li, Q., Zhang, Y., Li, Q., Shen, H., Gao, Q., & Zhou, S. (2017). Reward processing in gain versus loss context: An ERP study. Psychophysiology, 54(7), 1040-1053.
Zheng, Y., Yi, W., Cheng, J., & Li, Q. (2020). Common and distinct electrophysiological correlates of feedback processing during risky and ambiguous decision making. Neuropsychologia, 146, 107526.
Zhu, X., Wu, H., Yang, S., & Gu, R. (2017). The influence of self-construal type on outcome evaluation: evidence from event-related potentials. International Journal of Psychophysiology, 112, 64-69.