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Tusche A, Spunt RP, Paul LK, Tyszka JM, Adolphs R. Neural signatures of social inferences predict the number of real-life social contacts and autism severity. Nat Commun 2023; 14:4399. [PMID: 37474575 PMCID: PMC10359299 DOI: 10.1038/s41467-023-40078-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 07/12/2023] [Indexed: 07/22/2023] Open
Abstract
We regularly infer other people's thoughts and feelings from observing their actions, but how this ability contributes to successful social behavior and interactions remains unknown. We show that neural activation patterns during social inferences obtained in the laboratory predict the number of social contacts in the real world, as measured by the social network index, in three neurotypical samples (total n = 126) and one sample of autistic adults (n = 23). We also show that brain patterns during social inference generalize across individuals in these groups. Cross-validated associations between brain activations and social inference localize selectively to the right posterior superior temporal sulcus and were specific for social, but not nonsocial, inference. Activation within this same brain region also predicts autism-like trait scores from questionnaires and autism symptom severity. Thus, neural activations produced while thinking about other people's mental states predict variance in multiple indices of social functioning in the real world.
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Affiliation(s)
- Anita Tusche
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA.
- Department of Psychology, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
| | - Robert P Spunt
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Lynn K Paul
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Julian M Tyszka
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Ralph Adolphs
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
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2
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Mori K, Haruno M. Resting functional connectivity of the left inferior frontal gyrus with the dorsomedial prefrontal cortex and temporoparietal junction reflects the social network size for active interactions. Hum Brain Mapp 2022; 43:2869-2879. [PMID: 35261111 PMCID: PMC9120559 DOI: 10.1002/hbm.25822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/03/2022] [Accepted: 02/16/2022] [Indexed: 11/08/2022] Open
Abstract
The size of an individual active social network is a key parameter of human social behavior and is correlated with subjective well-being. However, it remains unknown how the social network size of active interactions is represented in the brain. Here, we examined whether resting-state functional magnetic resonance imaging (fMRI) connectivity is associated with the social network size of active interactions using behavioral data of a large sample (N = 222) on Twitter. Region of interest (ROI)-to-ROI analysis, graph theory analysis, seed-based analysis, and decoding analysis together provided compelling evidence that people who have a large social network size of active interactions, as measured by "reply," show higher fMRI connectivity of the left inferior frontal gyrus with the dorsomedial prefrontal cortex and temporoparietal junction, which represents the core of the theory of mind network. These results demonstrated that people who have a large social network size of active interactions maintain activity of the identified functional connectivity in daily life, possibly providing a mechanism for efficient information transmission between the brain networks related to language and theory-of-mind.
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Affiliation(s)
- Kazuma Mori
- Center for Information and Neural Networks, National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan.,Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan
| | - Masahiko Haruno
- Center for Information and Neural Networks, National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan.,Grauduate School of Frontier Biosciences, Osaka University, Suita, Osaka, Japan
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3
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Dunbar RIM, Shultz S. The Infertility Trap: The Fertility Costs of Group-Living in Mammalian Social Evolution. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.634664] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Mammal social groups vary considerably in size from single individuals to very large herds. In some taxa, these groups are extremely stable, with at least some individuals being members of the same group throughout their lives; in other taxa, groups are unstable, with membership changing by the day. We argue that this variability in grouping patterns reflects a tradeoff between group size as a solution to environmental demands and the costs created by stress-induced infertility (creating an infertility trap). These costs are so steep that, all else equal, they will limit group size in mammals to ∼15 individuals. A species will only be able to live in larger groups if it evolves strategies that mitigate these costs. We suggest that mammals have opted for one of two solutions. One option (fission-fusion herding) is low cost but high risk; the other (bonded social groups) is risk-averse, but costly in terms of cognitive requirements.
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Meyer ML, Collier E. Theory of minds: managing mental state inferences in working memory is associated with the dorsomedial subsystem of the default network and social integration. Soc Cogn Affect Neurosci 2021; 15:63-73. [PMID: 32064502 PMCID: PMC7171370 DOI: 10.1093/scan/nsaa022] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 01/08/2020] [Accepted: 02/06/2020] [Indexed: 12/22/2022] Open
Abstract
We often interact with multiple people at a time and consider their various points of view to facilitate smooth social interaction. Yet, how our brains track multiple mental states at once, and whether skill in this domain links to social integration, remains underspecified. To fill this gap, we developed a novel social working memory paradigm in which participants manage two- or four-people’s mental states in working memory, as well as control trials in which they alphabetize two- or four-people’s names in working memory. In Study 1, we found that the dorsomedial subsystem of the default network shows relative increases in activity with more mental states managed in working memory. In contrast, this subsystem shows relative decreases in activity with more non-mental state information (the number of names alphabetized) managed in working memory. In Study 2, only individual differences in managing mental states in working memory, specifically on trials that posed the greatest mental state load to working memory, correlated with social integration. Collectively, these findings add further support to the hypothesis that social working memory relies on partially distinct brain systems and may be a key ingredient to success in a social world.
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Affiliation(s)
- Meghan L Meyer
- Department of Psychological and Brain Sciences, Dartmouth College, HB 6207 Moore Hall, Hanover, NH 03755, USA
| | - Eleanor Collier
- Department of Psychological and Brain Sciences, Dartmouth College, HB 6207 Moore Hall, Hanover, NH 03755, USA
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Sippel LM, Holtzheimer PE, Huckins JF, Collier E, Feilong M, Wheatley T, Meyer ML. Neurocognitive mechanisms of poor social connection in posttraumatic stress disorder: Evidence for abnormalities in social working memory. Depress Anxiety 2021; 38:615-625. [PMID: 33621379 PMCID: PMC8169539 DOI: 10.1002/da.23139] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/22/2020] [Accepted: 01/17/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Poor social connection is a central feature of posttraumatic stress disorder (PTSD), but little is known about the neurocognitive processes associated with social difficulties in this population. We examined recruitment of the default network and behavioral responses during social working memory (SWM; i.e., maintaining and manipulating social information on a moment-to-moment basis) in relation to PTSD and social connection. METHODS Participants with PTSD (n = 31) and a trauma-exposed control group (n = 21) underwent functional magnetic resonance imaging while completing a task in which they reasoned about two or four people's relationships in working memory (social condition) and alphabetized two or four people's names in working memory (nonsocial condition). Participants also completed measures of social connection (e.g., loneliness, social network size). RESULTS Compared to trauma-exposed controls, individuals with PTSD reported smaller social networks (p = .032) and greater loneliness (p = .038). Individuals with PTSD showed a selective deficit in SWM accuracy (p = .029) and hyperactivation in the default network, particularly in the dorsomedial subsystem, on trials with four relationships to consider. Moreover, default network hyperactivation in the PTSD group (vs. trauma-exposed group) differentially related to social network size and loneliness (p's < .05). Participants with PTSD also showed less resting state functional connectivity within the dorsomedial subsystem than controls (p = .002), suggesting differences in the functional integrity of a subsystem key to SWM. CONCLUSIONS SWM abnormalities in the default network may be a basic mechanism underlying poorer social connection in PTSD.
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Affiliation(s)
- Lauren M Sippel
- National Center for PTSD, US Department of Veterans Affairs, White River Junction, Vermont, USA.,Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Paul E Holtzheimer
- National Center for PTSD, US Department of Veterans Affairs, White River Junction, Vermont, USA.,Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Jeremy F Huckins
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Eleanor Collier
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Ma Feilong
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Thalia Wheatley
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Meghan L Meyer
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, USA
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Han M, Jiang G, Luo H, Shao Y. Neurobiological Bases of Social Networks. Front Psychol 2021; 12:626337. [PMID: 33995181 PMCID: PMC8119875 DOI: 10.3389/fpsyg.2021.626337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 04/06/2021] [Indexed: 12/16/2022] Open
Abstract
A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures (structural properties) act on each other and on how the brain supports the spread of ideas and behaviors within social networks (functional properties). The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals and social values. The structure also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor (OXTR), mu opioid receptor 1 (OPRM1) and dopamine receptor 2 (DRD2), predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods.
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Affiliation(s)
- Mengfei Han
- School of Psychology, Beijing Sport University, Beijing, China
| | - Gaofang Jiang
- College of Education, Cangzhou Normal University, Cangzhou, China
| | - Haoshuang Luo
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
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7
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Bzdok D, Dunbar RIM. The Neurobiology of Social Distance. Trends Cogn Sci 2020; 24:717-733. [PMID: 32561254 PMCID: PMC7266757 DOI: 10.1016/j.tics.2020.05.016] [Citation(s) in RCA: 105] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/20/2020] [Accepted: 05/29/2020] [Indexed: 12/11/2022]
Abstract
Never before have we experienced social isolation on such a massive scale as we have in response to coronavirus disease 2019 (COVID-19). However, we know that the social environment has a dramatic impact on our sense of life satisfaction and well-being. In times of distress, crisis, or disaster, human resilience depends on the richness and strength of social connections, as well as on active engagement in groups and communities. Over recent years, evidence emerging from various disciplines has made it abundantly clear: perceived social isolation (i.e., loneliness) may be the most potent threat to survival and longevity. We highlight the benefits of social bonds, the choreographies of bond creation and maintenance, as well as the neurocognitive basis of social isolation and its deep consequences for mental and physical health.
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Affiliation(s)
- Danilo Bzdok
- Department of Biomedical Engineering, McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal, Canada; Quebec Artificial Intelligence Institute (Mila), Montreal, Canada.
| | - Robin I M Dunbar
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
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Webber E, Dunbar R. The fractal structure of communities of practice: Implications for business organization. PLoS One 2020; 15:e0232204. [PMID: 32348329 PMCID: PMC7190158 DOI: 10.1371/journal.pone.0232204] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Accepted: 04/05/2020] [Indexed: 11/18/2022] Open
Abstract
Communities of practice (COP) are informal (sometimes formal) groupings of professionals with shared interests that form to facilitate the exchange of expertise and shared learning or to function as professional support networks. We analyse a dataset on the size of COPs and show that their distribution has a fractal structure similar to that found in huntergatherer social organisation and the structure of human personal social networks. Small communities up to about 40 in size can be managed democratically, but all larger communities require a leadership team structure. We show that frequency of interaction declines as size increases, as is the case in personal social networks. This suggests that professional work-oriented organisations may be subject to the same kinds of constraint imposed on human social organisation by the social brain. We discuss the implications for business management structure.
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Affiliation(s)
- Emily Webber
- Tacit London Ltd, Loughton, England, United Kingdom
| | - Robin Dunbar
- Magdalen College, Oxford, England, United Kingdom
- * E-mail:
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Meyer ML. Social by Default: Characterizing the Social Functions of the Resting Brain. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 2019. [DOI: 10.1177/0963721419857759] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Social-neuroscience research has identified a set of medial frontoparietal brain regions that reliably engage during social cognition. At the same time, cognitive-neuroscience research has shown that these regions comprise part of the default network, so named because they reliably activate during mental breaks by default. Although the anatomical similarity between the social brain and the default brain is well documented, why this overlap exists remains a mystery. Does the tendency to engage these regions by default during rest have particular social functions, and if so, what might these be? Here, it is suggested that the default network performs two critical social functions during rest: social priming and social consolidation. These constructs will be defined, recently published empirical findings that support them will be reviewed, and directions for future research on the topic will be proposed.
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Affiliation(s)
- Meghan L. Meyer
- Department of Psychological and Brain Sciences, Dartmouth College
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