The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Social Rewards and Social Networks in the Human Brain
Abstract
The rapid development of social media and social networking sites in human society within the past decade has brought about an increased focus on the value of social relationships and being connected with others. Research suggests that we pursue socially valued or rewarding outcomes-approval, acceptance, reciprocity-as a means toward learning about others and fulfilling social needs of forming meaningful relationships. Focusing largely on recent advances in the human neuroimaging literature, we review findings highlighting the neural circuitry and processes that underlie pursuit of valued rewarding outcomes across non-social and social domains. We additionally discuss emerging human neuroimaging evidence supporting the idea that social rewards provide a gateway to establishing relationships and forming social networks. Characterizing the link between social network, brain, and behavior can potentially identify contributing factors to maladaptive influences on decision making within social situations.
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“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)”
In the citing paper
“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)”
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Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Trust, Reciprocity, and Social History
Berg, J., Dickhaut, J., & McCabe, K. (1995) · Games and Economic Behavior · doi:10.1006/game.1995.1027 · Cited by 5,548
An experimental analysis of ultimatum bargaining
Güth, W., Schmittberger, R., & Schwarze, B. (1982) · Journal of Economic Behavior & Organization · doi:10.1016/0167-2681(82)90011-7 · Cited by 4,868
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686
Cited by
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A map for social navigation in the human brain
Tavares, R. M., Mendelsohn, A., Grossman, Y., Williams, C. H., Shapiro, M., Trope, Y., & Schiller, D. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.011 · Cited by 505
The Emerging Neuroscience of Social Media
Meshi, D., Tamir, D. I., & Heekeren, H. R. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.09.004 · Cited by 322
What the brain ‘Likes’: neural correlates of providing feedback on social media
Sherman, L. E., Hernandez, L. M., Greenfield, P. M., & Dapretto, M. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy051 · Cited by 240
Persuasion, Influence, and Value: Perspectives from Communication and Social Neuroscience
Falk, E. B., & Scholz, C. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011821 · Cited by 192
Peer Influence via Instagram: Effects on Brain and Behavior in Adolescence and Young Adulthood
Sherman, L. E., Greenfield, P. M., Hernandez, L. M., & Dapretto, M. (2018) · Child Development · doi:10.1111/cdev.12838 · Cited by 196
Metadata
- Authors
- Fareri, D. S., & Delgado, M. R.
- Affiliations
- University of California, Los Angeles (US)
- Rutgers, The State University of New Jersey (US)
- Venue
- The Neuroscientist
- Publisher
- SAGE Publications
- Published
- 2014-02-21
- Volume
- 20
- Issue
- 4
- Pages
- 387-402
- ISSN
- 1073-8584 (ISSN-L)
- 1089-4098
- OpenAlex
- W2142816615
- Cited by
- 124
- References
- 123
- Citations by year
- 2026: 17 · 2025: 10 · 2024: 14 · 2023: 14 · 2022: 8 · 2021: 18 · 2020: 10 · 2019: 7 · 2018: 7 · 2017: 9 · 2016: 1 · 2015: 7 · 2014: 2
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Neuroscientist (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (R01MH084081)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroendocrine regulation and behavior
- Keywords
- social reward, social networks, social media, neural circuits, reward processing, interpersonal relationships, reciprocity, social decision-making
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