The Social Brain


It is well-known that human decisions are strongly guided by social norms and that we are influenced by the behaviour and recommendations of relevant others (such as one’s peer group). The Erasmus Centre for Neuroeconomics was one of the first to study the neural mechanisms underlying social influence and social conformity. By means of fMRI we found that a deviation from the social norm triggers a neuronal response in mPFC and ventral striatum, similar to the ‘prediction error’ learning signal suggested by neuroscientific models of reinforcement learning. Furthermore, the amplitude of this neural error signal correlates with the individual’s tendency to conform to the opinion of the group (Klucharev et al, 2009). In a follow-up study, we found that downregulating the mPFC by means of TMS (Transcranial Magnetic Stimulation) indeed reduced the tendency to conform to the group, thus providing supporting evidence for its causal role (Klucharev et al., 2011).

In general, people tend to conform more strongly to the behaviour of the people with whom they identify (in-group members) than to the behaviour of less relevant others (out-group members). We found that conformity to the in-group is mediated by both positive affect as well as the cognitive capacity of perspective taking, and that the hormone oxytocin, implicated in a variety of social behaviours, enhances conformity especially to one’s in-group (see Stallen et al, 2012, 2013).

In another line of research, we focus on dishonesty. Dishonest behaviour, such as tax evasion, music piracy or fraud, is highly prevalent in our society and inflicts huge economic costs. Every day, we are faced with the conflict between the temptation to cheat and deceive for financial gains and maintaining a positive image of ourselves as being a ‘good person’. In this line of research, we investigate the psychological and neural underpinnings of decisions to either cheat and deceive, or to remain fair and honest. We find that particularly individual differences in the engagement of cognitive control and theory of mind drive decisions to be fair and honest (or not). For example, in one study we found that cognitive control may override an individual’s moral default, allowing honest people to cheat, whereas it enables cheaters to be honest (Speer, Smidts, Boksem, 2020). These insights contribute to a deeper understanding of individual differences in honesty and may aid in developing more targeted interventions aiming at reducing dishonesty.

In a final set of studies, we focus on arguably the opposite of dishonesty: how do people make decisions regarding charitable giving? While there are people in need all around the globe, why is it that some people and organizations receive donations and others do not? We found that including photographs of donation recipients increased charitable giving decisions by evoking positive emotional responses. This increase in giving was predicted by brain activity in a specific region associated with positive feelings and reward (i.e. the nucleus accumbens, Genevsky, Knutson, 2015).

References

Speer, S. P. H., Keysers, C., Barrios, J. C., Teurlings, C. J. S., Smidts, A., Boksem, M. A. S., Wager, T. D., & Gazzola, V. (2023). A multivariate brain signature for reward. NeuroImage271, [119990]. https://doi.org/10.1016/j.neuroimage.2023.119990

Speer, S., Martinovici, A., Smidts, A., & Boksem, M. (2023). The acute effects of stress on dishonesty are moderated by individual differences in moral default. Scientific Reports13(1), [3984]. https://doi.org/10.1038/s41598-023-31056-2

Scholz, C., Chan, H-Y., Poldrack, R. A., de Ridder, D. T. D., Smidts, A., & van der Laan, L. N. (2022). Can we have a second helping? A preregistered direct replication study on the neurobiological mechanisms underlying self-control. Human Brain Mapping43(16), 4995-5016. https://doi.org/10.1002/hbm.26065

Zhang, C., Beste, C., Prochazkova, L., Wang, K., Speer, S. P. H., Smidts, A., Boksem, M. A. S., & Hommel, B. (2022). Resting-state BOLD signal variability is associated with individual differences in metacontrol. Scientific Reports12(1), [18425]. https://doi.org/10.1038/s41598-022-21703-5

Speer, S.P.H., Smidts A., Boksem, M.A.S. Cognitive Control and Dishonesty (2022) Trends in Cognitive Sciences, 26(9), 796-808. doi: 10.1016/j.tics.2022.06.005

Speer, S. P. H., Smidts., A, & Boksem, M. A. S. (2022). Individual differences in (dis)honesty are represented in the brain’s functional connectivity at rest. NeuroImage 246, 118761doi: 10.1016/j.neuroimage.2021.118761

Speer, S. P. H., Smidts., A, & Boksem, M. A. S. (2021). Cognitive control promotes either honesty or dishonesty, depending on one’s moral default. Journal of Neuroscience 41 (42) 8815-8825 doi: 10.1523/JNEUROSCI.0666-21.2021

Speer, S.P.H., Smidts A. & Boksem,M.A.S., (2021). Different Neural Mechanisms Underlie Non-habitual Honesty and Non-habitual Cheating. Frontiers in Neuroscience, doi: 10.3389/fnins.2021.610429

Speer, S.P.H., Smidts A. & Boksem,M.A.S., (2020). Cognitive control increases honesty in cheaters but cheating in those who are honest. Proceedings of the National Academy of Sciences of the United States of America. 117 (32) 19080-19091, doi: 10.1073/pnas.2003480117

Speer, S.P.H., Smidts A., Boksem, M.A.S. (2020). Individual differences in (dis)honesty are represented in the brain’s functional connectivity: Robust out-of-sample prediction of cheating behavior. BioRXiv, doi:10.1101/2020.05.12.091116, preprint

Losecaat Vermeer A.B., Boksem, M.A.S., Gausterer, C., Eisenegger, C., Lamm, C. (2020). Testosterone increases risk-taking for status but not for money. PsyRXiv, doi:10.31234/osf.io/eu8jm, preprint

Speer, S.P.H., Boksem, M.A.S., (2020). Decoding fairness motivations from multivariate brain activity patterns. Social Cognitive and Affective Neuroscience, 14 (11), 1197-1207  doi: 10.1093/scan/nsz097

Speer, S.P.H., Boksem, M.A.S., (2019). Decoding fairness motivations from multivariate brain activity patterns. Social Cognitive and Affective Neuroscience, 14(11), 1197–1207. doi: 10.093/scan/nsz097

Stallen, Mirre, Rossi, Filippo, Heijne, Amber, Smidts, Ale, De Dreu, Carsten K.W. & Sanfey, Alan G. (2018). Neurobiological Mechanisms of Responding to Injustice. Journal of Neuroscience, 38(12), 2944-2954.

Genevsky, A., Knutson, B. (2015). Neural affective mechanisms predict market-level microlending. Psychological Science, 26 (9), 1411-1422. doi: 10.1177/0956797615588467

Boksem, M.A.S., Mehta, P.H., Van den Bergh, B., van Son, V., Trautmann, S.T., Roelofs, K., Smidts, A. & Sanfey, A.G. (2013). Testosterone Inhibits Trust but Promotes Reciprocity.  Psychological Science, 24 (11), 2306-2314.

Stallen, M., Smidts, A. & Sanfey, A.G. (2013). Peer influence: Neural mechanisms underlying in-group conformityFrontiers in Human Neuroscience, 7, 1-7

Stallen, M., De Dreu, C. K. W., Shalvi, S., Smidts, A. & Sanfey, A.G. (2012). The herding hormone: Oxytocin stimulates in-group conformity. Psychological Science, 23(11), 1288-1292.

Klucharev, V., Munneke,M.A.M., Smidts, A. & Fernandez, G. (2011). Downregulation of the posterior medial frontal cortex prevents social conformity. The Journal of Neuroscience, 31 (33), 11934-11940.

Boksem, M.A.S. & De Cremer, D. (2010). Fairness Concerns Predict Medial Frontal Negativity Amplitude in Ultimatum Bargaining. Social Neuroscience, 5(1), 118-125.

Boksem, M.A.S., De Cremer, D. (2009). The neural basis of morality. In: D. De Cremer (Ed), Psychological Perspectives on Ethical Behavior and Decision Making, 153-166

Klucharev, V.A., Hytonen, K., Rijpkema, M., Smidts, A. & Fernandez, G. (2009). Reinforcement learning signal predicts social conformity, Neuron, 61, 140-151

See also

Stallen, M., Smidts, A., Smit, G., Klucharev, V., Fernández, G., Rijpkema, M. (2009). Celebrities and Shoes on the Female Brain: The Neural Correlates of Product Evaluation in the Context of Fame. Journal of Economic Psychology 31 (5), 802-811

Klucharev, V., Smidts, A., & Fernandez, G. (2008). Brain mechanisms of persuasive communication: How “Expert Power” modulates memory and attitudesSocial Cognitive &
Affective Neuroscience
3(4), 353-366

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