Mapping social reward and punishment processing in the human brain: A voxel-based meta-analysis of neuroimaging findings using the social incentive delay task
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Abstract
Social rewards or punishments motivate human learning and behaviour, and alterations in the brain circuits involved in the processing of these stimuli have been linked with several neuropsychiatric disorders. However, questions still remain about the exact neural substrates implicated in social reward and punishment processing. Here, we conducted four Anisotropic Effect Size Signed Differential Mapping voxel-based meta-analyses of fMRI studies investigating the neural correlates of the anticipation and receipt of social rewards and punishments using the Social Incentive Delay task. We found that the anticipation of both social rewards and social punishment avoidance recruits a wide network of areas including the basal ganglia, the midbrain, the dorsal anterior cingulate cortex, the supplementary motor area, the anterior insula, the occipital gyrus and other frontal, temporal, parietal and cerebellar regions not captured in previous coordinate-based meta-analysis. We identified decreases in the BOLD signal during the anticipation of both social reward and punishment avoidance in regions of the default-mode network that were missed in individual studies likely due to a lack of power. Receipt of social rewards engaged a robust network of brain regions including the ventromedial frontal and orbitofrontal cortices, the anterior cingulate cortex, the amygdala, the hippocampus, the occipital cortex and the brainstem, but not the basal ganglia. Receipt of social punishments increased the BOLD signal in the orbitofrontal cortex, superior and inferior frontal gyri, lateral occipital cortex and the insula. In contrast to the receipt of social rewards, we also observed a decrease in the BOLD signal in the basal ganglia in response to the receipt of social punishments. Our results provide a better understanding of the brain circuitry involved in the processing of social rewards and punishment. Furthermore, they can inform hypotheses regarding brain areas where disruption in activity may be associated with dysfunctional social incentive processing during disease.
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The positive valence system supports social bond formation and maintenance.
“These positive valence processes create a cycle supporting the initiation and strengthening of social bonds regulated by the mesolimbic reward circuit that activates in response to cues signaling potential social reward(16–18) (i.e., incentive salience or ‘wanting’).(19)”
Positive valence processes create a cycle supporting the initiation and strengthening of social bonds regulated by the mesolimbic reward circuit that activates in response to cues signaling potential social reward.
“These positive valence processes create a cycle supporting the initiation and strengthening of social bonds regulated by the mesolimbic reward circuit that activates in response to cues signaling potential social reward(16–18) (i.e., incentive salience or ‘wanting’).(19)”
The Social Incentive Delay task reliably activates the striatum when people anticipate obtaining social rewards.
“The SID(52) reliably activates the striatum (primary region of interest) when people anticipate obtaining social rewards (e.g., viewing a smiling face).(18)”
Social reward processing is multifaceted, involving different phases (e.g., anticipation, responsiveness) and brain regions outside of the striatum (e.g., anterior insula, anterior cingulate cortex).
“social reward processing is multifaceted, involving different phases (e.g., anticipation, responsiveness) and brain regions outside of the striatum (e.g., anterior insula, anterior cingulate cortex).(18)”
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Rayyan-a web and mobile app for systematic reviews.
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0384-4 · Cited by 26,092 · see citing works
Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & the PRISMA-P Group (2015) · BMJ · doi:10.1136/bmj.g7647 · Cited by 13,120 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · see citing works
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592 · see citing works
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · see citing works
The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904 · see citing works
Social Cognitive Neuroscience: A Review of Core Processes
Lieberman, M. D. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085654 · Cited by 2,010 · see citing works
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927 · see citing works
Quantifying publication bias in meta-analysis
Lin, L., & Chu, H. (2018) · Biometrics · doi:10.1111/biom.12817 · Cited by 1,674 · see citing works
Scanning the horizon: towards transparent and reproducible neuroimaging research
Poldrack, R. A., Baker, C. I., Durnez, J., Gorgolewski, K. J., Matthews, P. M., Munafò, M. R., Nichols, T. E., Poline, J.-B., Vul, E., & Yarkoni, T. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.167 · Cited by 1,410 · see citing works
Fusar‐Poli, P., Placentino, A., Carletti, F., Landi, P., Allen, P., Surguladze, S., Benedetti, F., Abbamonte, M., Gasparotti, R., Barale, F., et al. (2009) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0953 · Cited by 1,292 · see citing works
Tracking the Hemodynamic Responses to Reward and Punishment in the Striatum
Delgado, M. R., Nystrom, L. E., Fissell, C., Noll, D. C., & Fiez, J. A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.6.3072 · Cited by 1,116 · see citing works
The role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978 · see citing works
Hiser, J., & Koenigs, M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.030 · Cited by 972 · see citing works
Prefrontal–cingulate interactions in action monitoring
Gehring, W. J., & Knight, R. T. (2000) · Nature Neuroscience · doi:10.1038/74899 · Cited by 912 · see citing works
Processing of Social and Monetary Rewards in the Human Striatum
Izuma, K., Saito, D. N., & Sadato, N. (2008) · Neuron · doi:10.1016/j.neuron.2008.03.020 · Cited by 855 · see citing works
Ten simple rules for neuroimaging meta-analysis
Müller, V. I., Cieslik, E. C., Laird, A. R., Fox, P. T., Radua, J., Mataix-Cols, D., Tench, C. R., Yarkoni, T., Nichols, T. E., Turkeltaub, P. E., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.012 · Cited by 805 · see citing works
Reward and aversion in a heterogeneous midbrain dopamine system
Lammel, S., Lim, B. K., & Malenka, R. C. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.019 · Cited by 804 · see citing works
Beckmann, M., Johansen-Berg, H., & Rushworth, M. F. S. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3328-08.2009 · Cited by 789 · see citing works
Social neuroeconomics: the neural circuitry of social preferences
Fehr, E., & Camerer, C. F. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.09.002 · Cited by 779 · see citing works
Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2011.04.001 · Cited by 765 · see citing works
Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., & Pine, D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.038 · Cited by 635 · see citing works
The supplementary motor area in the cerebral cortex
Tanji, J. (1994) · Neuroscience Research · doi:10.1016/0168-0102(94)90038-8 · Cited by 583 · see citing works
The Anterior Cingulate Gyrus and Social Cognition: Tracking the Motivation of Others
Apps, M. A. J., Rushworth, M. F. S., & Chang, S. W. C. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.018 · Cited by 559 · see citing works
Kim, H., Shimojo, S., & O’Doherty, J. P. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040233 · Cited by 447 · see citing works
Spreckelmeyer, K. N., Krach, S., Kohls, G., Rademacher, L., Irmak, A., Konrad, K., Kircher, T., & Gründer, G. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsn051 · Cited by 425 · see citing works
Self-citationOldham, S., Murawski, C., Fornito, A., Youssef, G. J., Yücel, M., & Lorenzetti, V. (2018) · Human Brain Mapping · doi:10.1002/hbm.24184 · Cited by 425 · see citing works
Dopaminergic reward system: a short integrative review
Arias-Carrión, Ó., Stamelou, M., Murillo‐Rodríguez, E., Menéndez‐González, M., & Pöppel, E. (2010) · International Archives of Medicine · doi:10.1186/1755-7682-3-24 · Cited by 413 · see citing works
Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies
Radua, J., Rubia, K., Canales-Rodríguez, E. J., Pomarol-Clotet, E., Fusar-Poli, P., & Mataix-Cols, D. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00013 · Cited by 406 · see citing works
Publication bias: What are the challenges and can they be overcome?
Joober, R., Schmitz, N., Annable, L., & Boksa, P. (2012) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.120065 · Cited by 382 · see citing works
Hayden, B. Y., Heilbronner, S. R., Pearson, J. M., & Platt, M. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4652-10.2011 · Cited by 379 · see citing works
Alves, P. N., Foulon, C., Karolis, V., Bzdok, D., Margulies, D. S., Volle, E., & Thiebaut de Schotten, M. (2019) · Communications Biology · doi:10.1038/s42003-019-0611-3 · Cited by 357 · see citing works
Ventral Striatal Activation During Reward Processing in Psychosis
Raduà, J., Schmidt, A., Borgwardt, S., Heinz, A., Schlagenhauf, F., McGuire, P. K., & Fusar‐Poli, P. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2196 · Cited by 341 · see citing works
The Cognitive Thalamus as a Gateway to Mental Representations
Wolff, M., & Vann, S. D. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0479-18.2018 · Cited by 340 · see citing works
The relation between statistical power and inference in fMRI
Cremers, H. R., Wager, T. D., & Yarkoni, T. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184923 · Cited by 336 · see citing works
Self-citationThe fallacy of a “task‐negative” network
Spreng, R. N. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00145 · Cited by 320 · see citing works
The role of the striatum in social behavior
Báez-Mendoza, R., & Schultz, W. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00233 · Cited by 312 · see citing works
Separate neural representations for physical pain and social rejection
Woo, C.-W., Koban, L., Kross, E., Lindquist, M. A., Banich, M. T., Ruzic, L., Andrews-Hanna, J. R., & Wager, T. D. (2014) · Nature Communications · doi:10.1038/ncomms6380 · Cited by 310 · see citing works
Those confounded moderators in meta-analysis: good, bad, and ugly
Lipsey, M. W. (2003) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716202250791 · Cited by 283 · see citing works
Reward system dysfunction in autism spectrum disorders
Kohls, G., Schulte-Rüther, M., Nehrkorn, B., Müller, K., Fink, G. R., Kamp-Becker, I., Herpertz-Dahlmann, B., Schultz, R. T., & Konrad, K. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss033 · Cited by 259 · see citing works
Meta-analytic methods for neuroimaging data explained
Radua, J., & Mataix-Cols, D. (2012) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-2-6 · Cited by 246 · see citing works
The role of the brain reward system in depression
Naranjo, C. A., Tremblay, L. K., & Busto, U. E. (2001) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/s0278-5846(01)00156-7 · Cited by 245 · see citing works
Neurons in anterior cingulate cortex multiplex information about reward and action
Hayden, B. Y., & Platt, M. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4874-09.2010 · Cited by 236 · see citing works
Computational approaches to fMRI analysis
Cohen, J. D., Daw, N. D., Engelhardt, B. E., Hasson, U., Li, K., Niv, Y., Norman, K. A., Pillow, J. W., Ramadge, P. J., Turk‐Browne, N. B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4499 · Cited by 222 · see citing works
Neurocomputational mechanisms of prosocial learning and links to empathy
Lockwood, P. L., Apps, M. A. J., Valton, V., Viding, E. M., & Roiser, J. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603198113 · Cited by 219 · see citing works
Dynamic salience processing in paraventricular thalamus gates associative learning
Zhu, Y., Nachtrab, G. T., Keyes, P. C., Allen, W. E., Luo, L., & Chen, X. (2018) · Science · doi:10.1126/science.aat0481 · Cited by 217 · see citing works
Contributions of the Amygdala to Reward Expectancy and Choice Signals in Human Prefrontal Cortex
Hampton, A. N., Adolphs, R., Tyszka, J. M., & O'Doherty, J. P. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.022 · Cited by 213 · see citing works
Feng, C., Luo, Y., & Krüeger, F. (2014) · Human Brain Mapping · doi:10.1002/hbm.22649 · Cited by 211 · see citing works
Is There a ‘Social’ Brain? Implementations and Algorithms
Lockwood, P. L., Apps, M. A. J., & Chang, S. W. C. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.06.011 · Cited by 202 · see citing works
de Wit, S., Corlett, P. R., Aitken, M. R., Dickinson, A., & Fletcher, P. C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1639-09.2009 · Cited by 200 · see citing works
Mapping the Cingulate Cortex in Response Selection and Monitoring
Badgaiyan, R. D., & Posner, M. I. (1998) · NeuroImage · doi:10.1006/nimg.1998.0326 · Cited by 199 · see citing works
Multivoxel Pattern Analysis for fMRI Data: A Review
Mahmoudi, A., Takerkart, S., Regragui, F., Boussaoud, D., & Brovelli, A. (2012) · Computational and Mathematical Methods in Medicine · doi:10.1155/2012/961257 · Cited by 199 · see citing works
Corradi‐Dell’Acqua, C., Tusche, A., Vuilleumier, P. O., & Singer, T. (2016) · Nature Communications · doi:10.1038/ncomms10904 · Cited by 192 · see citing works
Behavioral and Neural Properties of Social Reinforcement Learning
Jones, R. M., Somerville, L. H., Li, J., Ruberry, E. J., Libby, V., Glover, G., Voss, H. U., Ballon, D. J., & Casey, B. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2972-11.2011 · Cited by 191 · see citing works
Subcortical structural connectivity of insular subregions
Ghaziri, J., Tucholka, A., Girard, G., Boucher, O., Houde, J., Descoteaux, M., Obaïd, S., Gilbert, G., Rouleau, I., & Nguyen, D. K. (2018) · Scientific Reports · doi:10.1038/s41598-018-26995-0 · Cited by 190 · see citing works
MTAC, Wilson, R. P., Colizzi, M., Bossong, M. G., Allen, P., Kempton, M. J., & Bhattacharyya, S. (2018) · Neuropsychology Review · doi:10.1007/s11065-018-9385-5 · Cited by 186 · see citing works
Self-citationAmygdala-hippocampal dynamics during salient information processing
Zheng, J., Anderson, K. L., Leal, S. L., Shestyuk, A. Y., Gülşen, G., Mnatsakanyan, L., Vadera, S., Hsu, F. P. K., Yassa, M. A., Knight, R. T., et al. (2017) · Nature Communications · doi:10.1038/ncomms14413 · Cited by 181 · see citing works
Social and monetary reward processing in autism spectrum disorders
Delmonte, S., Balsters, J. H., McGrath, J., Fitzgerald, J., Brennan, S., Fagan, A. J., & Gallagher, L. (2012) · Molecular Autism · doi:10.1186/2040-2392-3-7 · Cited by 180 · see citing works
Recruitment of the default mode network during a demanding act of executive control
Crittenden, B. M., Mitchell, D. J., & Duncan, J. (2015) · eLife · doi:10.7554/elife.06481 · Cited by 176 · see citing works
Anterior cingulate is a source of valence-specific information about value and uncertainty
Monosov, I. E. (2017) · Nature Communications · doi:10.1038/s41467-017-00072-y · Cited by 163 · see citing works
A brain network supporting social influences in human decision-making
Zhang, L., & Gläscher, J. P. (2020) · Science Advances · doi:10.1126/sciadv.abb4159 · Cited by 154 · see citing works
A comparative fMRI meta-analysis of altruistic and strategic decisions to give
Cutler, J., & Campbell-Meiklejohn, D. K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.009 · Cited by 142 · see citing works
Neural and computational processes underlying dynamic changes in self-esteem
Will, G., Rutledge, R. B., Moutoussis, M., & Dolan, R. J. (2017) · eLife · doi:10.7554/elife.28098 · Cited by 136 · see citing works
Social learning through prediction error in the brain
Joiner, J. A., Piva, M., Turrin, C., & Chang, S. W. C. (2017) · npj Science of Learning · doi:10.1038/s41539-017-0009-2 · Cited by 134 · see citing works
Fulford, D., Campellone, T. R., & Gard, D. E. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.05.007 · Cited by 134 · see citing works
Internal and external attention and the default mode network
Scheibner, H. J., Bogler, C., Gleich, T., Haynes, J.-D., & Bermpohl, F. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.044 · Cited by 133 · see citing works
Shared neural coding for social hierarchy and reward value in primate amygdala
Munuera, J., Rigotti, M., & Salzman, C. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0082-8 · Cited by 126 · see citing works
Havlíček, M., Ivanov, D., Roebroeck, A. F., & Uludaǧ, K. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00616 · Cited by 125 · see citing works
Computational modelling of social cognition and behaviour—a reinforcement learning primer
Lockwood, P. L., & Klein-Flügge, M. C. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa040 · Cited by 125 · see citing works
Gu, R., Huang, W., Camilleri, J. A., Xu, P., Wei, P., Eickhoff, S. B., & Feng, C. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.017 · Cited by 123 · see citing works
The role of the amygdala in the perception of positive emotions: an “intensity detector”
Bonnet, L., Comte, A., Tatu, L., Millot, J., Moulin, T., & de Bustos, E. M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00178 · Cited by 116 · see citing works
Couto, B., Sedeño, L., Sposato, L. A., Sigman, M., Riccio, P. M., Salles, A., López, V., Schröeder, J., Manes, F. F., & Ibáñez, A. M. (2012) · Cortex · doi:10.1016/j.cortex.2012.08.006 · Cited by 116 · see citing works
The thalamus in drug addiction: from rodents to humans
Huang, A., Mitchell, J. A., Haber, S. N., Nelly Alia-klein, A., & Goldstein, R. Z. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0028 · Cited by 116 · see citing works
Wu, H., Luo, Y., & Feng, C. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.038 · Cited by 115 · see citing works
Rademacher, L., Salama, A., Gründer, G., & Spreckelmeyer, K. N. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst047 · Cited by 114 · see citing works
Self-citationNeural Mechanisms of Social Cognition in Primates
Wittmann, M. K., Lockwood, P. L., & Rushworth, M. F. S. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-061450 · Cited by 113 · see citing works
Altered reward system reactivity for personalized circumscribed interests in autism
Kohls, G., Antezana, L., Mosner, M. G., Schultz, R. T., & Yerys, B. E. (2018) · Molecular Autism · doi:10.1186/s13229-018-0195-7 · Cited by 111 · see citing works
Isomura, Y., Ito, Y., Akazawa, T., Nambu, A., & Takada, M. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-22-08002.2003 · Cited by 107 · see citing works
Neural sensitivity to social reward and punishment anticipation in social anxiety disorder
Cremers, H. R., Veer, I. M., Spinhoven, P., Rombouts, S. A. R. B., & Roelofs, K. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00439 · Cited by 107 · see citing works
Self-citationCao, Z., Bennett, M., Orr, C., Icke, I., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., Quinlan, E. B., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24370 · Cited by 105 · see citing works
Dynamic Modulation of Amygdala–Hippocampal Connectivity by Emotional Arousal
Fastenrath, M., Coynel, D., Spalek, K., Milnik, A., Gschwind, L., Roozendaal, B., Papassotiropoulos, A., & de Quervain, D. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0786-14.2014 · Cited by 100 · see citing works
Disentangling reward anticipation with simultaneous pupillometry / fMRI
Schneider, M., Leuchs, L., Czisch, M., Sämann, P. G., & Spoormaker, V. I. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.078 · Cited by 100 · see citing works
Understanding Neural Coding through the Model-Based Analysis of Decision Making: Figure 1.
Corrado, G. S., & Doya, K. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1590-07.2007 · Cited by 93 · see citing works
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Nasser, H. M., Calu, D. J., Schoenbaum, G. M., & Sharpe, M. J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00244 · Cited by 89 · see citing works
Aversive stimuli and loss in the mesocorticolimbic dopamine system
Brooks, A. M., & Berns, G. S. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.001 · Cited by 85 · see citing works
Ronchi, R., Bello‐Ruiz, J., Łukowska, M., Herbelin, B., Cabrilo, I., Schaller, K., & Blanke, O. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.02.010 · Cited by 85 · see citing works
Increased neural response to social rejection in major depression
Kumar, P., Waiter, G. D., Dubois, M., Milders, M. M., Reid, I., & Steele, J. D. (2017) · Depression and Anxiety · doi:10.1002/da.22665 · Cited by 84 · see citing works
The application of computational models to social neuroscience: promises and pitfalls
Charpentier, C. J., & O’Doherty, J. P. (2018) · Social Neuroscience · doi:10.1080/17470919.2018.1518834 · Cited by 83 · see citing works
Premotor and Motor Cortices Encode Reward
Ramkumar, P., Dekleva, B. M., Cooler, S., Miller, L. E., & Kording, K. P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160851 · Cited by 82 · see citing works
The role of the amygdala in face perception and evaluation
Todorov, A. T. (2011) · Motivation and Emotion · doi:10.1007/s11031-011-9238-5 · Cited by 78 · see citing works
Piva, M., Velnoskey, K. R., Jia, R., Nair, A. R., Levy, I., & Chang, S. W. C. (2019) · eLife · doi:10.7554/elife.44939 · Cited by 78 · see citing works
Luo, Y., Eickhoff, S. B., Hétu, S., & Feng, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23854 · Cited by 75 · see citing works
Intranasal oxytocin increases neural responses to social reward in post-traumatic stress disorder
Nawijn, L., van Zuiden, M., Koch, S. B. J., Frijling, J. L., Veltman, D. J., & Olff, M. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw123 · Cited by 72 · see citing works
Self-citationCortical neurons multiplex reward-related signals along with sensory and motor information
Ramakrishnan, A., Byun, Y. W., Rand, K., Pedersen, C. E., Lebedev, M., & Nicolelis, M. A. L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703668114 · Cited by 69 · see citing works
Chen, Y., Dammers, J., Boers, F., Leiberg, S., Edgar, J. C., Roberts, T. P. L., & Mathiak, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.093 · Cited by 68 · see citing works
Dugre, J. R., Dumais, A., Bitar, N., & Potvin, S. (2018) · PeerJ · doi:10.7717/peerj.4749 · Cited by 67 · see citing works
Model-free decision making is prioritized when learning to avoid harming others
Lockwood, P. L., Klein-Flügge, M. C., Abdurahman, A., & Crockett, M. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2010890117 · Cited by 63 · see citing works
Statistical notes for clinical researchers: Type I and type II errors in statistical decision
Kim, H. (2015) · Restorative Dentistry & Endodontics · doi:10.5395/rde.2015.40.3.249 · Cited by 58 · see citing works
Salomon, R., Levy, D. R., & Malach, R. (2014) · Human Brain Mapping · doi:10.1002/hbm.22268 · Cited by 56 · see citing works
Intolerance of uncertainty and insula activation during uncertain reward
Gorka, S. M., Nelson, B. D., Phan, K. L., & Shankman, S. A. (2016) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-016-0443-2 · Cited by 55 · see citing works
Development of Monetary and Social Reward Processes
Wang, D., Liu, T., & Shi, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-11558-6 · Cited by 53 · see citing works
Neural substrates for anticipation and consumption of social and monetary incentives in depression
He, Z., Zhang, D., Muhlert, N., & Elliott, R. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz061 · Cited by 53 · see citing works
Insights from the application of computational neuroimaging to social neuroscience
Dunne, S., & O’Doherty, J. P. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.02.007 · Cited by 52 · see citing works
Gil, M., Nguyen, N., McDonald, M., & Albers, H. E. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12216 · Cited by 49 · see citing works
Reader, A. T., & Holmes, N. P. (2016) · Culture and Brain · doi:10.1007/s40167-016-0041-8 · Cited by 46 · see citing works
Breaking human social decision making into multiple components and then putting them together again
Suzuki, S., & O’Doherty, J. P. (2020) · Cortex · doi:10.1016/j.cortex.2020.02.014 · Cited by 43 · see citing works
Greimel, E., Bakos, S., Landes, I., Töllner, T., Bartling, J., Kohls, G., & Schulte‐Körne, G. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-0570-z · Cited by 39 · see citing works
Gong, X., Brazil, I. A., Chang, L. J., & Sanfey, A. G. (2019) · Scientific Reports · doi:10.1038/s41598-019-43727-0 · Cited by 35 · see citing works
Effects of alexithymia and empathy on the neural processing of social and monetary rewards
Goerlich, K. S., Votinov, M., Lammertz, S. E., Winkler, L., Spreckelmeyer, K. N., Habel, U., Gründer, G., & Gossen, A. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1339-1 · Cited by 34 · see citing works
Self-citationBarman, A., Richter, S., Soch, J., Deibele, A., Richter, A., Assmann, A., Wüstenberg, T., Walter, H., Seidenbecher, C. I., & Schott, B. H. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv044 · Cited by 30 · see citing works
Spreckelmeyer, K. N., Rademacher, L., Paulus, F. M., & Gründer, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.068 · Cited by 28 · see citing works
Self-citationCurrent trends and challenges in MRI acquisitions to investigate brain function
Sutton, B. P., Ouyang, C., Karampinos, D. C., & Miller, G. A. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.12.020 · Cited by 28 · see citing works
Wanke, N., & Schwabe, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz298 · Cited by 28 · see citing works
Li, X., Li, Z., Li, K., Zeng, Y., Shi, H., Xie, W.-L., Yang, Z., Lui, S. S. Y., Cheung, E. F. C., Leung, A. W. S., et al. (2016) · Scientific Reports · doi:10.1038/srep35481 · Cited by 27 · see citing works
Brown, T., Kucharska, K., Wilkos, E., & Sławińska, K. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s78037 · Cited by 22 · see citing works
How mimicry influences the neural correlates of reward: An fMRI study
Hsu, C., Sims, T. B., & Chakrabarti, B. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.08.018 · Cited by 21 · see citing works
The Neural Responses to Social Cooperation in Gain and Loss Context
Sun, P., Li, Z., Li, L., Guo, X., Zhang, W., & Zheng, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160503 · Cited by 10 · see citing works
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Effects of urban living environments on mental health in adults
Xu, J., Liu, N., Polemiti, E., Garcia-Mondragon, L., Tang, J., Liu, X., Lett, T. A. P., Yu, L., Nöthen, M. M., Feng, J., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02365-w · Cited by 235 · see citing works
Better living through understanding the insula: Why subregions can make all the difference
Centanni, S. W., Janes, A. C., Haggerty, D. L., Atwood, B. K., & Hopf, F. W. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108765 · Cited by 108 · see citing works
The Neuropsychology of Anxiety
McNaughton, N., & Gray, J. A. (2024) · doi:10.1093/oso/9780198843313.001.0001 · Cited by 98 · see citing works
Jauhar, S., Fortea, L., Solanes, A., Albajes‐Eizagirre, A., McKenna, P. J., & Raduà, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255292 · Cited by 97 · see citing works
Characterizing the mechanisms of social connection
Delgado, M. R., Fareri, D. S., & Chang, L. J. (2023) · Neuron · doi:10.1016/j.neuron.2023.09.012 · Cited by 81 · see citing works
Taylor, C. T., Stein, M. B., Simmons, A. N., He, F., Oveis, C., Shakya, H. B., Sieber, W. J., Fowler, J. H., & Jain, S. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.07.024 · Cited by 53 · see citing works
Tasks activating the default mode network map multiple functional systems
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02467-0 · Cited by 53 · see citing works
Consensus Paper: Cerebellum and Reward
Manto, M. U., Adamaszek, M., Apps, R., Carlson, E. S., Guarque‐Chabrera, J., Heleven, E., Kakei, S., Khodakhah, K., Kuo, S., Lin, C.-Y. R., et al. (2024) · The Cerebellum · doi:10.1007/s12311-024-01702-0 · Cited by 50 · see citing works
Bore, M. C., Liu, X., Gan, X., Wang, L., Xu, T., Ferraro, S., Li, L., Zhou, B., Zhang, J., Vatansever, D., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723003410 · Cited by 47 · see citing works
Solomonov, N., Victoria, L. W., Lyons, K., Phan, D. K., Alexopoulos, G. S., Gunning, F. M., & Flückiger, C. (2022) · SSRN Electronic Journal · doi:10.1016/j.bbr.2023.114632 · Cited by 41 · see citing works
Bore, M. C., Liu, X., Huang, X., Kendrick, K. M., Zhou, B., Zhang, J., Klugah‐Brown, B., & Becker, B. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105835 · Cited by 40 · see citing works
Neural basis of in-group bias and prejudices: A systematic meta-analysis
Saarinen, A. I. L., Jääskeläinen, I. P., Harjunen, V. J., Keltikangas‐Järvinen, L., Jasinskaja‐Lahti, I., & Ravaja, N. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.027 · Cited by 39 · see citing works
Wang, L., Zhou, X., Song, X., Gan, X., Zhang, R., Liu, X., Xu, T., Jiao, G., Ferraro, S., Bore, M. C., et al. (2023) · Addictive Behaviors · doi:10.1016/j.addbeh.2023.107709 · Cited by 36 · see citing works
Yang, C., Wang, X.-K., Ma, S., Lee, N. Y., Zhang, Q.-R., Dong, W., Zang, Y., & Yuan, L. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.12.013 · Cited by 33 · see citing works
Prefrontal circuits guiding social preference: Implications in autism spectrum disorder
Fortier, A. V., Meisner, O. C., Nair, A. R., & Chang, S. W. C. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104803 · Cited by 30 · see citing works
I, robot: depression plays different roles in human–human and human–robot interactions
Zhang, D., Shen, J., Li, S., Gao, K., & Gu, R. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01567-5 · Cited by 26 · see citing works
Lu, S., Wu, C., Jia, L., Fang, Z., Lü, J., Mou, T., Hu, S., He, H., Huang, M., & Xu, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1016735 · Cited by 27 · see citing works
Zhou, X., Xu, T., Zeng, Y., Zhang, R., Qi, Z., Zhao, W., Kendrick, K. M., & Becker, B. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1114-22.2022 · Cited by 19 · see citing works
Developmental changes in brain function linked with addiction-like social media use two years later
Flannery, J. S., Burnell, K., Kwon, S., Jorgensen, N. A., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2024) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsae008 · Cited by 24 · see citing works
Wyngaarden, J. B., Johnston, C. R., Sazhin, D., Dennison, J. B., Zaff, O., Fareri, D. S., McCloskey, M., Alloy, L. B., Smith, D. V., & Jarcho, J. M. (2024) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsae033 · Cited by 20 · see citing works
Self-citationDexter, T. D., Roberts, B. Z., Ayoub, S. M., Noback, M. N., Barnes, S. A., & Young, J. W. (2024) · Journal of Neurochemistry · doi:10.1111/jnc.16243 · Cited by 19 · see citing works
The Effects of Social Feedback Through the “Like” Feature on Brain Activity: A Systematic Review
Dores, A. R., Peixoto, M., Fernandes, C., Marques, A. J., & Barbosa, F. (2025) · Healthcare · doi:10.3390/healthcare13010089 · Cited by 28 · see citing works
Danilov, I. V., & Mihailova, S. (2021) · OBM Neurobiology · doi:10.21926/obm.neurobiol.2104113 · Cited by 18 · see citing works
Pabst, A., Bollen, Z., Masson, N., Billaux, P., de Timary, P., & Maurage, P. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.12.027 · Cited by 16 · see citing works
Bomyea, J. A., Sweet, A. M., Davey, D. K., Boland, M., Paulus, M. P., Stein, M. B., & Taylor, C. T. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.12.054 · Cited by 16 · see citing works
Nie, Y., Pan, T., He, J., & Li, Y. (2024) · Addictive Behaviors · doi:10.1016/j.addbeh.2024.108006 · Cited by 15 · see citing works
Clinical and Preclinical Assessments of Anhedonia in Psychiatric Disorders
Wang, S., Leri, F., & Rizvi, S. J. (2022) · Current topics in behavioral neurosciences · doi:10.1007/7854_2022_318 · Cited by 15 · see citing works
Roeske, J., Long, X., Perdue, M. V., Long, M., Geeraert, B., Ghasoub, M., Yeates, K. O., & Lebel, C. A. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101568 · Cited by 17 · see citing works
Screens and brains: multimodal neuroimaging insights into mechanisms of problematic smartphone use.
Wolf, N. D., Henemann, G. M., Schmitgen, M., Koenig, J., Bach, P., & Wolf, R. C. (2025) · Progress in Neuro-psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111531 · Cited by 15 · see citing works
Seitz, K. I., Ueltzhöffer, K. J., Rademacher, L., Paulus, F. M., Schmitz, M., Herpertz, S. C., & Bertsch, K. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02364-y · Cited by 13 · see citing works
Self-citationMayer, A. V., Preckel, K., Ihle, K., Piecha, F. A., Junghanns, K., Reiche, S., Rademacher, L., Müller‐Pinzler, L., Stolz, D. S., Kamp‐Becker, I., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.10.004 · Cited by 12 · see citing works
Self-citationSteinmann, L. A., Dohm, K., Goltermann, J., Richter, M. F., Enneking, V., Lippitz, M., Repple, J., Mauritz, M., Dannlowski, U., & Opel, N. (2022) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.210180 · Cited by 12 · see citing works
Differential manifestations of anhedonia in people with social anhedonia and subsyndromal depression
Pu, J., Huang, Y., Chen, H., Lui, S. S. Y., Wang, Y., & Chan, R. C. K. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104188 · Cited by 12 · see citing works
Zhang, Y.-J., Hu, H., Wang, L., Wang, X., Wang, Y., Huang, J., Wang, Y., Lui, S. S. Y., Hui, L., & Chan, R. C. K. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01505-6 · Cited by 12 · see citing works
Nie, Y., Pan, T., He, J., & Li, Y. (2024) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2024.112479 · Cited by 11 · see citing works
Votinov, M., Myznikov, A., Zheltyakova, M., Masharipov, R. S., Korotkov, A. D., Cherednichenko, D. V., Habel, U., & Kireev, M. V. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.727960 · Cited by 11 · see citing works
Sobczak, A., & Bunzeck, N. (2023) · npj Science of Learning · doi:10.1038/s41539-023-00178-7 · Cited by 10 · see citing works
Sequeira, S. L., Silk, J. S., Jones, N. P., Forbes, E. E., Hanson, J. L., Hallion, L. S., & Ladouceur, C. D. (2024) · Development and Psychopathology · doi:10.1017/s0954579424001068 · Cited by 10 · see citing works
Guo, X., Zheng, H., Ruan, D., Wang, Y., Wang, Y., & Chan, R. C. K. (2022) · PsyCh Journal · doi:10.1002/pchj.592 · Cited by 9 · see citing works
Hamel, R., Pearson, J., Sifi, L., Patel, D. A., Hinder, M. R., Jenkinson, N., & Galea, J. M. (2023) · Brain stimulation · doi:10.1016/j.brs.2023.09.022 · Cited by 8 · see citing works
A scale-elastic discrete grid structure for voxel-based modeling and management of 3D data
Lei, Y., Tong, X., Qu, T., Qiu, C., Wang, D., Sun, Y., & Tang, J. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.103009 · Cited by 9 · see citing works
Do, K. T., Paolizzi, S. G., & Hallquist, M. N. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101415 · Cited by 10 · see citing works
Shen, W., Wang, X., Li, Q., Ding, Q., Zhang, H., Qian, Z., Sun, Z., Chen, X., Zhang, J., Zhao, M., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1231883 · Cited by 7 · see citing works
Deficits in Key Brain Network for Social Interaction in Individuals with Schizophrenia
Wu, Y., Wang, H., Li, C., Zhang, C., Li, Q., Shao, Y., Yang, Z., Li, C., & Fan, Q. (2023) · Brain Sciences · doi:10.3390/brainsci13101403 · Cited by 8 · see citing works
Zhang, Q., Du, Y., Bao, C., Hua, L., Yan, R., Dai, Z., Xia, Y., Zou, H., He, C., Sun, H., et al. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103666 · Cited by 7 · see citing works
Zhong, S., Lin, J., Zhang, L., Wang, S., Kemp, G. J., Li, L., & Gong, Q. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03091-8 · Cited by 7 · see citing works
How Negative Is Negative Information
Simoes, E., Sokolov, A. N., Hahn, M., Fallgatter, A., Brucker, S., Wallwiener, D., & Pavlova, M. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.742576 · Cited by 5 · see citing works
Brain anomalies in early psychosis: From secondary to primary psychosis
Iftimovici, A., Chaumette, B., Duchesnay, É., & Krebs, M. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104716 · Cited by 7 · see citing works
Social Rejection but Not Ostracism Increases Cognitive Effort Avoidance
Peng, S., Tao, D., & Xuan, B. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s414450 · Cited by 6 · see citing works
van Sleeuwen, C., van Zuiden, M., Koch, S. B. J., Frijling, J. L., Veltman, D. J., Olff, M., & Nawijn, L. (2023) · European Journal of Psychotraumatology · doi:10.1080/20008066.2023.2281187 · Cited by 6 · see citing works
Self-citationAnticipatory and consummatory neural correlates of monetary and music rewarding stimuli
Díez, I., Fàbrega-Camps, G., Parra-Tíjaro, J., & Marco‐Pallarés, J. (2024) · Brain and Cognition · doi:10.1016/j.bandc.2024.106186 · Cited by 5 · see citing works
Anticipating social feedback involves basal forebrain and mesolimbic functional connectivity
Sobczak, A., Yousuf, M., & Bunzeck, N. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120131 · Cited by 4 · see citing works
Social stress and affiliative touch: A tale of two affective states
Papantoniou, L. P., Vityk, O., & Tzanoulinou, S. (2026) · iScience · doi:10.1016/j.isci.2026.114833 · Cited by 4 · see citing works
Li, Y., Pan, Y., & Zhao, D. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.05.011 · Cited by 3 · see citing works
Kolobaric, A., Mizuno, A. N., Yang, X., George, C. J., Seidman, A. J., Aizenstein, H. J., Kovács, M., & Karim, H. T. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.03.026 · Cited by 3 · see citing works
Research on the Evaluation Method of Surveillance Camera Layout for 3D Spatial Grids
Wei, C., Zhou, L., Yin, Q., & Lin, B. (2025) · Transactions in GIS · doi:10.1111/tgis.70004 · Cited by 3 · see citing works
Opening the Pandora box: Neural processing of self-relevant negative social information
Nicolaou, S., Vega, D., & Marco‐Pallarés, J. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2024.108982 · Cited by 3 · see citing works
Lewis, A. F., Bohnenkamp, R., Myers, M., den Ouden, D., Fritz, S. L., & Stewart, J. C. (2024) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2024.107930 · Cited by 2 · see citing works
Lawhead, C., Kujawa, A., Klein, D. N., & Nelson, B. D. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109103 · Cited by 2 · see citing works
Wang, X., Yu, J., Wang, L., Huang, J., Wang, Y., Lui, S. S. Y., & Chan, R. C. K. (2025) · The Cerebellum · doi:10.1007/s12311-025-01902-2 · Cited by 3 · see citing works
Yuan, C., Mi, S., Yang, C., Yuan, L., Chang, F., Chen, J., Shi, R., Su, Y., He, Y., Wang, Z., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120477 · Cited by 2 · see citing works
Dissociating neural circuits of social and prosocial reward in rat helping behavior
Ruzal, K., Trachtenberg, E., Kantor, B., Flumin, H., Roemer, A., Crespo, A., Kohl, J., & Bartal, I. B.-A. (2026) · iScience · doi:10.1016/j.isci.2026.114694 · Cited by 2 · see citing works
Schwarze, Y., Stierand, J., Voges, J. F., Zillikens, E., Junghanns, K., Voß, O., Paulus, F. M., Krach, S., Cabanis, M., & Rademacher, L. (2026) · Cortex · doi:10.1016/j.cortex.2026.03.011 · Cited by 2 · see citing works
Self-citationKwon, S., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101342 · Cited by 2 · see citing works
Usal, K. A., & Çakır, M. P. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70091 · Cited by 2 · see citing works
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0012 · Cited by 2 · see citing works
MCF-7, ACHN, and A549 Cancer Cells Characterized by Quantitative Magnetic Resonance Imaging In Vitro
(2021) · Biointerface Research in Applied Chemistry · doi:10.33263/briac124.51745186 · Cited by 2 · see citing works
Default Mode Network spatial configuration varies across task domainsPreprint
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2021) · bioRxiv · doi:10.1101/2021.03.17.435799 · Cited by 3 · see citing works
Zhou, X., Xu, T., Zeng, Y., Zhang, R., Qi, Z., Zhao, W., Kendrick, K. M., & Becker, B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.19.452920 · Cited by 2 · see citing works
The role of the human cerebellum in representing social behavior sequences: An SDM-PSI meta-analysis
Zhang, Y., Qiu, Y., Lin, S. T., Zheng, X., Tan, L., Liu, X., & Huang, R. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121277 · Cited by 1 · see citing works
Personally valued voices engage reward-motivated behaviour and brain responses
Kanber, E., Roiser, J. P., & McGettigan, C. (2025) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaf056 · Cited by 2 · see citing works
Fujisaki, K., Ueda, R., Nakai, R., & Abe, N. (2025) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaf127 · Cited by 1 · see citing works
Fundamentals of the septo-hippocampal system
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0009 · Cited by 1 · see citing works
Memory and the septo-hippocampal system
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0008 · Cited by 1 · see citing works
Szczypiński, J., Golec-Staśkiewicz, K., Pluta, A., & Marchewka, A. (2024) · Social Neuroscience · doi:10.1080/17470919.2024.2437404 · Cited by 1 · see citing works
Vanova, M., Aldridge‐Waddon, L., Puzzo, I., & Kumari, V. (2025) · Brain and Behavior · doi:10.1002/brb3.70776
Cheng, C. C. C., Tsang, H. L. M., Han, M., Zhang, J., Maes, M. H. J., Klugah‐Brown, B., Bore, M. C., & Becker, B. (2025) · medRxiv · doi:10.1101/2025.04.06.25325353 · Cited by 1 · see citing works
Zhou, X., Xu, T., Zeng, Y., Zhang, R., Qi, Z., Zhao, W., Kendrick, K. M., & Becker, B. (2021) · doi:10.22541/au.163251473.31756493/v1
The Basal Forebrain Serves Social Information ProcessingPreprint
Sobczak, A., & Bunzeck, N. (2023) · doi:10.31219/osf.io/juqpr
The basal forebrain serves social information processing
Sobczak, A., & Bunzeck, N. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101372
What do hippocampal cell fields represent?
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0007
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0001
The neurology of anxiety—planning circuits
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0011
A theory of the septo-hippocampal system (SHS)
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0010
Symptoms and syndromes of anxiety
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0013
The neurology of anxiety—survival circuits
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0006
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0002
The treatment of anxiety and fear disorders
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0014
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0011
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0015
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0009
The anxiolytic drugs—our key tool
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0004
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0003
List of online appendices and reviews
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0010
A conceptual theory of the goal inhibition system
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.003.0005
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0006
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0004
McNaughton, N., & Gray, J. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198843313.002.0005
Do, K. T., Paolizzi, S. G., & Hallquist, M. N. (2024) · doi:10.31234/osf.io/nrm9f
Dissociable neurofunctional and molecular characterizations of reward and punishment sensitivityPreprint
Xu, T., Zhu, C., Zhou, X., Chen, Z., Gan, X., Cui, X., Zhou, F., Zhang, R., Zhao, W., Zhang, X., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.30.630747
- Authors
- Martins, D., Rademacher, L., Gabay, A. S., Taylor, R., Richey, J. A., Smith, D. V., Goerlich, K. S., Nawijn, L., Cremers, H. R., Wilson, R., Bhattacharyya, S., & Paloyelis, Y.
- Affiliations
- King's College London (GB)
- Goethe University Frankfurt (DE)
- University of Oxford (GB)
- Virginia Tech (US)
- Temple University (US)
- University Medical Center Groningen (NL)
- Amsterdam Neuroscience (NL)
- University of Amsterdam (NL)
- Corresponding author
- Martins, D.
- ORCID
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 122
- Pages
- 1-17
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W3119461430
- Cited by
- 119
- References
- 123
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 43 · 2023: 16 · 2022: 12 · 2021: 13
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (acceptedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Economic and Social Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Social Psychology › Neuroendocrine regulation and behavior
- Keywords
- social reward, social punishment, reward anticipation, punishment avoidance, neural correlates, default mode network, basal ganglia, orbitofrontal cortex, anterior cingulate cortex, amygdala, supplementary motor area, anterior insula, neuropsychiatric disorders
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Motivation, Punishment, Reward, Neuroimaging
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