دورية أكاديمية

Electrophysiological correlates of (mis)judging social information.

التفاصيل البيبلوغرافية
العنوان: Electrophysiological correlates of (mis)judging social information.
المؤلفون: Wischnewski M; Department of Experimental Psychology, University of Groningen, Groningen, the Netherlands.; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands.; Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA., Hörberg MOY; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands., Schutter DJLG; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands.; Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.
المصدر: Psychophysiology [Psychophysiology] 2024 Aug; Vol. 61 (8), pp. e14590. Date of Electronic Publication: 2024 Apr 17.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Blackwell Country of Publication: United States NLM ID: 0142657 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-8986 (Electronic) Linking ISSN: 00485772 NLM ISO Abbreviation: Psychophysiology Subsets: MEDLINE
أسماء مطبوعة: Publication: Malden, MA : Blackwell
Original Publication: Baltimore, Williams & Wilkins.
مواضيع طبية MeSH: Electroencephalography* , Evoked Potentials*/physiology , Cues* , Social Perception* , Decision Making*/physiology, Humans ; Male ; Female ; Young Adult ; Adult ; Judgment/physiology ; Event-Related Potentials, P300/physiology
مستخلص: Social information can be used to optimize decision-making. However, the simultaneous presentation of multiple sources of advice can lead to a distinction bias in judging the validity of the information. While the involvement of event-related potential (ERP) components in social information processing has been studied, how they are modulated by (mis)judging an advisor's information validity remains unknown. In two experiments participants performed a decision-making task with highly accurate or inaccurate cues. Each experiment consisted of an initial, learning, and test phase. During the learning phase, three advice cues were simultaneously presented and the validity of them had to be assessed. The effect of different cue constellations on ERPs was investigated. In the subsequent test phase, the willingness to follow or oppose an advice cue was tested. Results demonstrated the distinction bias with participants over or underestimating the accuracy of the most uncertain cues. The P2 amplitude was significantly increased during cue presentation when advisors were in disagreement as compared to when all were in agreement, regardless of cue validity. Further, a larger P3 amplitude during outcome presentation was found when advisors were in disagreement and increased with more informative cues. As such, the most uncertain cues were related to the smallest P3 amplitude. The findings hint at the possible role of P3 in judging and learning the predictability of social cues. This study provides novel insights into the role of P2 and P3 components during the judgment of social information validity.
(© 2024 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.)
References: Aarts, E., Roelofs, A., & Turennout, M. v. (2008). Anticipatory activity in anterior cingulate cortex can be independent of conflict and error likelihood. Journal of Neuroscience, 28(18), 4671–4678. https://doi.org/10.1523/JNEUROSCI.4400‐07.2008.
Adolphs, R. (2009). The social brain: Neural basis of social knowledge. Annual Review of Psychology, 60(1), 693–716. https://doi.org/10.1146/annurev.psych.60.110707.163514.
Alexander, W. H., & Brown, J. W. (2010). Computational models of performance monitoring and cognitive control. Topics in Cognitive Science, 2(4), 658–677. https://doi.org/10.1111/j.1756‐8765.2010.01085.x.
Alexander, W. H., & Brown, J. W. (2011). Medial prefrontal cortex as an action‐outcome predictor. Nature Neuroscience, 14(10), 1338–1344. https://doi.org/10.1038/nn.2921.
Apps, M. A. J., Balsters, J. H., & Ramnani, N. (2012). The anterior cingulate cortex: Monitoring the outcomes of others' decisions. Social Neuroscience, 7(4), 424–435. https://doi.org/10.1080/17470919.2011.638799.
Bailey, P. E., Leon, T., Ebner, N. C., Moustafa, A. A., & Weidemann, G. (2023). A meta‐analysis of the weight of advice in decision‐making. Current Psychology, 42(28), 24516–24541. https://doi.org/10.1007/s12144‐022‐03573‐2.
Bayer, H. M., & Glimcher, P. W. (2005). Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron, 47(1), 129–141. https://doi.org/10.1016/j.neuron.2005.05.020.
Behrens, T. E. J., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. S. (2008). Associative learning of social value. Nature, 456(7219), 245–249. https://doi.org/10.1038/nature07538.
Bellebaum, C., Kobza, S., Thiele, S., & Daum, I. (2011). Processing of expected and unexpected monetary performance outcomes in healthy older subjects. Behavioral Neuroscience, 125(2), 241–251. https://doi.org/10.1037/a0022536.
Bindra, S., Sharma, D., Parameswar, N., Dhir, S., & Paul, J. (2022). Bandwagon effect revisited: A systematic review to develop future research agenda. Journal of Business Research, 143, 305–317. https://doi.org/10.1016/j.jbusres.2022.01.085.
Boksem, M. A. S., Kostermans, E., & De Cremer, D. (2011). Failing where others have succeeded: Medial frontal negativity tracks failure in a social context. Psychophysiology, 48(7), 973–979. https://doi.org/10.1111/j.1469‐8986.2010.01163.x.
Burnside, R., & Ullsperger, M. (2020). Social comparison impacts stimulus evaluation in a competitive social learning task. PLoS ONE, 15(6), e0234397. https://doi.org/10.1371/journal.pone.0234397.
Cavanagh, J. F., Figueroa, C. M., Cohen, M. X., & Frank, M. J. (2012). Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation. Cerebral Cortex, 22(11), 2575–2586. https://doi.org/10.1093/cercor/bhr332.
Cavanagh, J. F., & Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18(8), 414–421. https://doi.org/10.1016/j.tics.2014.04.012.
Cavanagh, J. F., Frank, M. J., Klein, T. J., & Allen, J. J. B. (2010). Frontal theta links prediction errors to behavioral adaptation in reinforcement learning. NeuroImage, 49(4), 3198–3209. https://doi.org/10.1016/j.neuroimage.2009.11.080.
Cavanagh, J. F., Zambrano‐Vazquez, L., & Allen, J. J. B. (2012). Theta lingua franca: A common mid‐frontal substrate for action monitoring processes. Psychophysiology, 49(2), 220–238. https://doi.org/10.1111/j.1469‐8986.2011.01293.x.
Ceschi, A., Costantini, A., Sartori, R., Weller, J., & Di Fabio, A. (2019). Dimensions of decision‐making: An evidence‐based classification of heuristics and biases. Personality and Individual Differences, 146, 188–200. https://doi.org/10.1016/j.paid.2018.07.033.
Chase, H. W., Swainson, R., Durham, L., Benham, L., & Cools, R. (2011). Feedback‐related negativity codes prediction error but not behavioral adjustment during probabilistic reversal learning. Journal of Cognitive Neuroscience, 23(4), 936–946. https://doi.org/10.1162/jocn.2010.21456.
Collins, E. C., Percy, E. J., Smith, E. R., & Kruschke, J. K. (2011). Integrating advice and experience: Learning and decision making with social and nonsocial cues. Journal of Personality and Social Psychology, 100, 967–982. https://doi.org/10.1037/a0022982.
De Jaegher, H., Di Paolo, E., & Gallagher, S. (2010). Can social interaction constitute social cognition? Trends in Cognitive Sciences, 14(10), 441–447. https://doi.org/10.1016/j.tics.2010.06.009.
De Martino, B., Bobadilla‐Suarez, S., Nouguchi, T., Sharot, T., & Love, B. C. (2017). Social information is integrated into value and confidence judgments according to its reliability. Journal of Neuroscience, 37(25), 6066–6074. https://doi.org/10.1523/JNEUROSCI.3880‐16.2017.
De Martino, B., & Cortese, A. (2023). Goals, usefulness and abstraction in value‐based choice. Trends in Cognitive Sciences, 27(1), 65–80. https://doi.org/10.1016/j.tics.2022.11.001.
Diaconescu, A. O., Mathys, C., Weber, L. A. E., Kasper, L., Mauer, J., & Stephan, K. E. (2017). Hierarchical prediction errors in midbrain and septum during social learning. Social Cognitive and Affective Neuroscience, 12(4), 618–634. https://doi.org/10.1093/scan/nsw171.
Engelmann, J. B., Capra, C. M., Noussair, C., & Berns, G. S. (2009). Expert financial advice neurobiologically “offloads” financial decision‐making under risk. PLoS ONE, 4(3), e4957. https://doi.org/10.1371/journal.pone.0004957.
Engelmann, J. B., Moore, S., Monica Capra, C., & Berns, G. S. (2012). Differential neurobiological effects of expert advice on risky choice in adolescents and adults. Social Cognitive and Affective Neuroscience, 7(5), 557–567. https://doi.org/10.1093/scan/nss050.
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.‐G. (2009). Statistical power analyses using G*power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149.
Fischer, A. G., & Ullsperger, M. (2013). Real and fictive outcomes are processed differently but converge on a common adaptive mechanism. Neuron, 79(6), 1243–1255. https://doi.org/10.1016/j.neuron.2013.07.006.
Frith, C. D., & Frith, U. (2012). Mechanisms of social cognition. Annual Review of Psychology, 63(1), 287–313. https://doi.org/10.1146/annurev‐psych‐120710‐100449.
Gheza, D., Paul, K., & Pourtois, G. (2018). Dissociable effects of reward and expectancy during evaluative feedback processing revealed by topographic ERP mapping analysis. International Journal of Psychophysiology, 132, 213–225. https://doi.org/10.1016/j.ijpsycho.2017.11.013.
Gino, F., & Moore, D. A. (2007). Effects of task difficulty on use of advice. Journal of Behavioral Decision Making, 20(1), 21–35. https://doi.org/10.1002/bdm.539.
Glazer, J., & Nusslock, R. (2022). Outcome valence and stimulus frequency affect neural responses to rewards and punishments. Psychophysiology, 59(3), e13981. https://doi.org/10.1111/psyp.13981.
Gole, M., Schäfer, A., & Schienle, A. (2012). Event‐related potentials during exposure to aversion and its anticipation: The moderating effect of intolerance of uncertainty. Neuroscience Letters, 507(2), 112–117. https://doi.org/10.1016/j.neulet.2011.11.054.
Grahek, I., Frömer, R., Prater Fahey, M., & Shenhav, A. (2023). Learning when effort matters: Neural dynamics underlying updating and adaptation to changes in performance efficacy. Cerebral Cortex, 33(5), 2395–2411. https://doi.org/10.1093/cercor/bhac215.
Haber, S. N., & Knutson, B. (2010). The reward circuit: Linking primate anatomy and human imaging. Neuropsychopharmacology, 35(1), 4–26. https://doi.org/10.1038/npp.2009.129.
Hajcak, G., Holroyd, C. B., Moser, J. S., & Simons, R. F. (2005). Brain potentials associated with expected and unexpected good and bad outcomes. Psychophysiology, 42(2), 161–170. https://doi.org/10.1111/j.1469‐8986.2005.00278.x.
Hajcak, G., Moser, J. S., Holroyd, C. B., & Simons, R. F. (2006). The feedback‐related negativity reflects the binary evaluation of good versus bad outcomes. Biological Psychology, 71(2), 148–154. https://doi.org/10.1016/j.biopsycho.2005.04.001.
Hajcak, G., Moser, J. S., Holroyd, C. B., & Simons, R. F. (2007). It's worse than you thought: The feedback negativity and violations of reward prediction in gambling tasks. Psychophysiology, 44(6), 905–912. https://doi.org/10.1111/j.1469‐8986.2007.00567.x.
HajiHosseini, A., Rodríguez‐Fornells, A., & Marco‐Pallarés, J. (2012). The role of beta‐gamma oscillations in unexpected rewards processing. NeuroImage, 60(3), 1678–1685. https://doi.org/10.1016/j.neuroimage.2012.01.125.
Hauser, T. U., Iannaccone, R., Stämpfli, P., Drechsler, R., Brandeis, D., Walitza, S., & Brem, S. (2014). The feedback‐related negativity (FRN) revisited: New insights into the localization, meaning and network organization. NeuroImage, 84, 159–168. https://doi.org/10.1016/j.neuroimage.2013.08.028.
Holroyd, C. B., & Coles, M. G. H. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error‐related negativity. Psychological Review, 109, 679–709. https://doi.org/10.1037/0033‐295X.109.4.679.
Holroyd, C. B., Pakzad‐Vaezi, K. L., & Krigolson, O. E. (2008). The feedback correct‐related positivity: Sensitivity of the event‐related brain potential to unexpected positive feedback. Psychophysiology, 45(5), 688–697. https://doi.org/10.1111/j.1469‐8986.2008.00668.x.
Hsee, C. K., & Zhang, J. (2004). Distinction bias: Misprediction and mischoice due to joint evaluation. Journal of Personality and Social Psychology, 86(5), 680–695. https://doi.org/10.1037/0022‐3514.86.5.680.
Huster, R. J., Eichele, T., Enriquez‐Geppert, S., Wollbrink, A., Kugel, H., Konrad, C., & Pantev, C. (2011). Multimodal imaging of functional networks and event‐related potentials in performance monitoring. NeuroImage, 56(3), 1588–1597. https://doi.org/10.1016/j.neuroimage.2011.03.039.
Jepma, M., Brown, S. B. R. E., Murphy, P. R., Koelewijn, S. C., de Vries, B., van den Maagdenberg, A. M., & Nieuwenhuis, S. (2018). Noradrenergic and cholinergic modulation of belief updating. Journal of Cognitive Neuroscience, 30(12), 1803–1820. https://doi.org/10.1162/jocn_a_01317.
Kirsch, F., Kirschner, H., Fischer, A. G., Klein, T. A., & Ullsperger, M. (2022). Disentangling performance‐monitoring signals encoded in feedback‐related EEG dynamics. NeuroImage, 257, 119322. https://doi.org/10.1016/j.neuroimage.2022.119322.
Konovalov, A., Hill, C., Daunizeau, J., & Ruff, C. C. (2021). Dissecting functional contributions of the social brain to strategic behavior. Neuron, 109(20), 3323–3337.e5. https://doi.org/10.1016/j.neuron.2021.07.025.
Li, J., Liu, L., Sun, Y., Fan, W., Li, M., & Zhong, Y. (2020). Exposure to money modulates neural responses to outcome evaluations involving social reward. Social Cognitive and Affective Neuroscience, 15(1), 111–121. https://doi.org/10.1093/scan/nsaa019.
Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG‐ and MEG‐data. Journal of Neuroscience Methods, 164(1), 177–190. https://doi.org/10.1016/j.jneumeth.2007.03.024.
Martínez‐Selva, J. M., Muñoz, M. A., Sánchez‐Navarro, J. P., Walteros, C., & Montoya, P. (2019). Time course of the neural activity related to behavioral decision‐making as revealed by event‐related potentials. Frontiers in Behavioral Neuroscience, 13, 191. https://doi.org/10.3389/fnbeh.2019.00191.
Matsumoto, M., Matsumoto, K., Abe, H., & Tanaka, K. (2007). Medial prefrontal cell activity signaling prediction errors of action values. Nature Neuroscience, 10(5), 647–656. https://doi.org/10.1038/nn1890.
Meshi, D., Biele, G., Korn, C. W., & Heekeren, H. R. (2012). How expert advice influences decision making. PLoS ONE, 7(11), e49748. https://doi.org/10.1371/journal.pone.0049748.
Niv, Y., & Schoenbaum, G. (2008). Dialogues on prediction errors. Trends in Cognitive Sciences, 12(7), 265–272. https://doi.org/10.1016/j.tics.2008.03.006.
Novak, K. D., & Foti, D. (2015). Teasing apart the anticipatory and consummatory processing of monetary incentives: An event‐related potential study of reward dynamics. Psychophysiology, 52(11), 1470–1482. https://doi.org/10.1111/psyp.12504.
Ohmann, K., Stahl, J., Mussweiler, T., & Kedia, G. (2016). Immediate relativity: EEG reveals early engagement of comparison in social information processing. Journal of Experimental Psychology: General, 145, 1512–1529. https://doi.org/10.1037/xge0000222.
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.‐M. (2010). FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Computational Intelligence and Neuroscience, 2011, e156869. https://doi.org/10.1155/2011/156869.
Pescetelli, N., Hauperich, A.‐K., & Yeung, N. (2021). Confidence, advice seeking and changes of mind in decision making. Cognition, 215, 104810. https://doi.org/10.1016/j.cognition.2021.104810.
Peterburs, J., Sannemann, L., & Bellebaum, C. (2019). Subjective preferences differentially modulate the processing of rewards gained by own vs. observed choices. Neuropsychologia, 132, 107139. https://doi.org/10.1016/j.neuropsychologia.2019.107139.
Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128–2148. https://doi.org/10.1016/j.clinph.2007.04.019.
Potts, G. F., Martin, L. E., Burton, P., & Montague, P. R. (2006). When things are better or worse than expected: The medial frontal cortex and the allocation of processing resources. Journal of Cognitive Neuroscience, 18(7), 1112–1119. https://doi.org/10.1162/jocn.2006.18.7.1112.
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004). The role of the medial frontal cortex in cognitive control. Science, 306(5695), 443–447. https://doi.org/10.1126/science.1100301.
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225–237. https://doi.org/10.3758/PBR.16.2.225.
San Martín, R., Manes, F., Hurtado, E., Isla, P., & Ibañez, A. (2010). Size and probability of rewards modulate the feedback error‐related negativity associated with wins but not losses in a monetarily rewarded gambling task. NeuroImage, 51(3), 1194–1204. https://doi.org/10.1016/j.neuroimage.2010.03.031.
Schutter, D. J. L. G., de Haan, E. H. F., & van Honk, J. (2004). Functionally dissociated aspects in anterior and posterior electrocortical processing of facial threat. International Journal of Psychophysiology, 53(1), 29–36. https://doi.org/10.1016/j.ijpsycho.2004.01.003.
Slovic, P. (1993). Perceived risk, trust, and democracy. Risk Analysis, 13(6), 675–682. https://doi.org/10.1111/j.1539‐6924.1993.tb01329.x.
Street, C. N. H., & Masip, J. (2015). The source of the truth bias: Heuristic processing? Scandinavian Journal of Psychology, 56(3), 254–263. https://doi.org/10.1111/sjop.12204.
Suzuki, S., Adachi, R., Dunne, S., Bossaerts, P., & O'Doherty, J. P. (2015). Neural mechanisms underlying human consensus decision‐making. Neuron, 86(2), 591–602. https://doi.org/10.1016/j.neuron.2015.03.019.
Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232. https://doi.org/10.1016/0010‐0285(73)90033‐9.
Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574.
Ullsperger, M., Fischer, A. G., Nigbur, R., & Endrass, T. (2014). Neural mechanisms and temporal dynamics of performance monitoring. Trends in Cognitive Sciences, 18(5), 259–267. https://doi.org/10.1016/j.tics.2014.02.009.
Valt, C., Sprengeler, M. K., & Stürmer, B. (2020). Feedback processing in the context of social comparison. Psychophysiology, 57(3), e13489. https://doi.org/10.1111/psyp.13489.
Vehtari, A., Gelman, A., Simpson, D., Carpenter, B., & Bürkner, P.‐C. (2021). Rank‐normalization, folding, and localization: An improved Ȓ for assessing convergence of MCMC (with discussion). Bayesian Analysis, 16(2), 667–718. https://doi.org/10.1214/20‐BA1221.
Walentowska, W., Moors, A., Paul, K., & Pourtois, G. (2016). Goal relevance influences performance monitoring at the level of the FRN and P3 components. Psychophysiology, 53(7), 1020–1033. https://doi.org/10.1111/psyp.12651.
Wang, Y., Cheung, H., Yee, L. T. S., & Tse, C.‐Y. (2020). Feedback‐related negativity (FRN) and theta oscillations: Different feedback signals for non‐conform and conform decisions. Biological Psychology, 153, 107880. https://doi.org/10.1016/j.biopsycho.2020.107880.
Williams, C. C., Ferguson, T. D., Hassall, C. D., Abimbola, W., & Krigolson, O. E. (2021). The ERP, frequency, and time–frequency correlates of feedback processing: Insights from a large sample study. Psychophysiology, 58(2), e13722. https://doi.org/10.1111/psyp.13722.
Wischnewski, M. (2024). Electrophysiological correlates of (mis)judging social information—Raw data [dataset]. Zenodo. https://doi.org/10.5281/zenodo.10462666.
Wischnewski, M., Alekseichuk, I., & Schutter, D. J. L. G. (2021). Behavioral and electrocortical effects of transcranial alternating current stimulation during advice‐guided decision‐making. Neuroimage: Reports, 1(4), 100052. https://doi.org/10.1016/j.ynirp.2021.100052.
Wischnewski, M., Bekkering, H., & Schutter, D. J. L. G. (2018). Frontal cortex electrophysiology in reward‐ and punishment‐related feedback processing during advice‐guided decision making: An interleaved EEG‐DC stimulation study. Cognitive, Affective, & Behavioral Neuroscience, 18(2), 249–262. https://doi.org/10.3758/s13415‐018‐0566‐8.
Wischnewski, M., & Schutter, D. J. L. G. (2018). Dissociating absolute and relative reward‐ and punishment‐related electrocortical processing: An event‐related potential study. International Journal of Psychophysiology, 126, 13–19. https://doi.org/10.1016/j.ijpsycho.2018.02.010.
Wischnewski, M., & Schutter, D. J. L. G. (2019). Electrophysiological correlates of prediction formation in anticipation of reward‐ and punishment‐related feedback signals. Psychophysiology, 56(8), e13379. https://doi.org/10.1111/psyp.13379.
Xiao, F., Sun, T., Qi, S., & Chen, Q. (2019). Common and distinct brain responses to detecting top‐down and bottom‐up conflicts underlying numerical inductive reasoning. Psychophysiology, 56(12), e13455. https://doi.org/10.1111/psyp.13455.
Yan, K., Tao, R., Huang, X., & Zhang, E. (2023). Influence of advisees' facial feedback on subsequent advice‐giving by advisors: Evidence from the behavioral and neurophysiological approach. Biological Psychology, 177, 108506. https://doi.org/10.1016/j.biopsycho.2023.108506.
Yaniv, I., & Kleinberger, E. (2000). Advice taking in decision making: Egocentric discounting and reputation formation. Organizational Behavior and Human Decision Processes, 83(2), 260–281. https://doi.org/10.1006/obhd.2000.2909.
Zinchenko, A., Kanske, P., Obermeier, C., Schröger, E., & Kotz, S. A. (2015). Emotion and goal‐directed behavior: ERP evidence on cognitive and emotional conflict. Social Cognitive and Affective Neuroscience, 10(11), 1577–1587. https://doi.org/10.1093/scan/nsv050.
Zinchenko, A., Obermeier, C., Kanske, P., Schröger, E., & Kotz, S. A. (2017). Positive emotion impedes emotional but not cognitive conflict processing. Cognitive, Affective, & Behavioral Neuroscience, 17(3), 665–677. https://doi.org/10.3758/s13415‐017‐0504‐1.
Zou, F., Li, X., Chen, F., Wang, Y., Wang, L., Wang, Y., Wu, X., & Zhang, M. (2022). P2 manifests subjective evaluation of reward processing under social comparison. Frontiers in Psychology, 13, 817529. https://doi.org/10.3389/fpsyg.2022.817529.
فهرسة مساهمة: Keywords: cognitive bias; event‐related potentials; performance monitoring; social cognition
تواريخ الأحداث: Date Created: 20240418 Date Completed: 20240706 Latest Revision: 20240706
رمز التحديث: 20240707
DOI: 10.1111/psyp.14590
PMID: 38632827
قاعدة البيانات: MEDLINE
الوصف
تدمد:1469-8986
DOI:10.1111/psyp.14590