Social cognition explained

Social cognition is a topic within psychology that focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in social interactions.[1]

More technically, social cognition refers to how people deal with conspecifics (members of the same species) or even across species (such as pet) information, include four stages: encoding, storage, retrieval, and processing. In the area of social psychology, social cognition refers to a specific approach in which these processes are studied according to the methods of cognitive psychology and information processing theory. According to this view, social cognition is a level of analysis that aims to understand social psychological phenomena by investigating the cognitive processes that underlie them.[2] The major concerns of the approach are the processes involved in the perception, judgment, and memory of social stimuli; the effects of social and affective factors on information processing; and the behavioral and interpersonal consequences of cognitive processes. This level of analysis may be applied to any content area within social psychology, including research on intrapersonal, interpersonal, intragroup, and intergroup processes.

The term social cognition has been used in multiple areas in psychology and cognitive neuroscience, most often to refer to various social abilities disrupted in autism,[3] schizophrenia[4] and psychopathy.[5] In cognitive neuroscience the biological basis of social cognition is investigated.[6] [7] [8] Developmental psychologists study the development of social cognition abilities.[9]

History

Social cognition came to prominence with the rise of cognitive psychology in the late 1960s and early 1970s and is now the dominant model and approach in mainstream social psychology.[10] Common to social cognition theories is the idea that information is represented in the brain as "cognitive elements" such as schemas, attributions, or stereotypes. A focus on how these cognitive elements are processed is often employed. Social cognition therefore applies and extends many themes, theories, and paradigms from cognitive psychology that can be identified in reasoning (representativeness heuristic, base rate fallacy and confirmation bias), attention (automaticity and priming) and memory (schemas, primacy and recency). It is likely that social psychology has always had a more cognitive than general psychology approach, as it traditionally discussed internal mental states such as beliefs and desires when mainstream psychology was dominated by behaviorism.[11]

It has been suggested that other disciplines in social psychology such as social identity theory and social representations may be seeking to explain largely the same phenomena as social cognition, and that these different disciplines might be merged into a "coherent integrated whole".[12] A parallel paradigm has arisen in the study of action, termed motor cognition, which is concerned with understanding the representation of action and the associated process.

Development

According to the received view in cognitive sciences, the development of the human ability to process, store, and apply information about others begins in social learning at the onset of life. Very young organisms cognize social situations in social interaction with their caregivers when knowledge is developing yet limited. The essential question in studying Social cognition is how this ability appears and what neurophysiological processes underlie it in organisms in the sensorimotor stage of development with only simple reflexes which do not maintain bilateral communication. Professor Michael Tomasello introduced the psychological construct of shared intentionality to explain cognition beginning in the earlier developmental stage through unaware collaboration in mother-child dyads.[13] [14] Other researchers developed the notion, by observing this collaborative interaction from different perspectives, e.g., psychophysiology,[15] [16] [17] and neurobiology.[18]

Currently, only one hypothesis attempts to explain neurophysiological processes occurring during shared intentionality in all its integral complexity, from the level of interpersonal dynamics to interaction at the neuronal level.[19] [20] [21] By establishing the neurophysiological hypothesis of shared intentionality, Latvian Prof. Igor Val Danilov expanded the use of the term shared intentionality to include consideration of the interaction between an embryo and her mother. From this perspective, abilities to process, store, and apply information about others develop from the prenatal period. This insight continues the reflections of great thinkers (e.g., Kant) and leading child development theorists (beginning from Montessori and Vygotsky) about the beginning of cognition in interactions with the environment.[22] [23] Based on experimental data from research on child behavior in the prenatal period,[24] [25] [26] [27] [28] [29] [30] and advances in inter-brain neuroscience research,[31] [32] [33] [34] this neurophysiological hypothesis introduced the notion of non-local neuronal coupling of the mother and fetus neuronal networks. The notion of non-local neuronal coupling filled a gap in knowledge – both in the Core Knowledge Theory and the group of positions in Externalism – about the beginning of cognition, the gap that the binding problem has also shown. This insight also shed light on neurophysiological processes that underlie the human ability to process, store, and apply information about other people and social situations beginning from the reflexes stage of development, when even aware goal-directed behavior is questioned. While exactly due to the ability of shared intentionality, very young babies express social behavior. This ability manifests in recognizing and selectively responding to social stimuli. From this perspective, Social cognition contributes to cognitive development of newborns and even embryos when communication is still impossible. A development of the human ability to process, store, and apply information about others begins in the prenatal period.

Social schemas

One theory of social cognition is social schema theory, although it is not the basis of all social cognition studies (for example, see attribution theory).[11] Social schema theory builds on and uses terminology from schema theory in cognitive psychology, which describes how ideas or "concepts" are represented in the mind and how they are categorized. According to this view, when we see or think of a concept a mental representation or schema is "activated" bringing to mind other information which is linked to the original concept by association. This activation often happens unconsciously. As a result of activating such schemas, judgements are formed which go beyond the information actually available, since many of the associations the schema evokes extend outside the given information. This may influence social cognition and behaviour regardless of whether these judgements are accurate or not. For example, if an individual is introduced as a teacher, then a "teacher schema" may be activated. Subsequently, we might associate this person with wisdom or authority, or past experiences of teachers that we remember and consider important.

When a schema is more accessible it can be more quickly activated and used in a particular situation. Two cognitive processes that increase accessibility of schemas are salience and priming. Salience is the degree to which a particular social object stands out relative to other social objects in a situation. The higher the salience of an object the more likely that schemas for that object will be made accessible. For example, if there is one female in a group of seven males, female gender schemas may be more accessible and influence the group's thinking and behavior toward the female group member.[11] Priming refers to any experience immediately prior to a situation that causes a schema to be more accessible. For example, watching a scary movie late at night might increase the accessibility of frightening schemas, increasing the likelihood that a person will perceive shadows and background noises as potential threats.

Social cognition researchers are interested in how new information is integrated into pre-established schemas, especially when the information contrasts with the existing schema.[35] For example, a student may have a pre-established schema that all teachers are assertive and bossy. After encountering a teacher who is timid and shy, a social cognition researcher might be interested in how the student will integrate this new information with his/her existing teacher schema. Pre-established schemas tend to guide attention to new information, as people selectively attend to information that is consistent with the schema and ignore information that is inconsistent. This is referred to as a confirmation bias. Sometimes inconsistent information is sub-categorized and stored away as a special case, leaving the original schema intact without any alterations. This is referred to as subtyping.

Social cognition researchers are also interested in the regulation of activated schemas. It is believed that the situational activation of schemas is automatic, meaning that it is outside individual conscious control.[36] In many situations however, the schematic information that has been activated may be in conflict with the social norms of the situation in which case an individual is motivated to inhibit the influence of the schematic information on their thinking and social behavior. Whether a person will successfully regulate the application of the activated schemas is dependent on individual differences in self-regulatory ability and the presence of situational impairments to executive control. High self-regulatory ability and the lack of situational impairments on executive functioning increase the likelihood that individuals will successfully inhibit the influence of automatically activated schemas on their thinking and social behavior. When people stop suppressing the influence of the unwanted thoughts, a rebound effect can occur where the thought becomes hyper-accessible.[37]

Centrality

Social cognition refers to the cognitive processes involved in perceiving, interpreting, and responding to social information. It plays a central role in human behavior and is critical for navigating social interactions and relationships. There are several examples that demonstrate the centrality of social cognition in human experience.

Perceiving faces everywhere

Humans are highly attuned to detecting and recognizing faces, even in inanimate objects. This phenomenon, known as pareidolia, is thought to be an evolutionary adaptation that helps humans quickly identify potential threats and allies in their environment. Research has shown that the fusiform gyrus, a region of the brain involved in face processing, is particularly sensitive to perceiving faces in non-face objects.[38]

Point-light walkers

Point-light walkers are animations of people walking that are created by attaching small lights to their joints and recording their movements in a dark room. Despite lacking details such as clothing or facial features, humans are able to accurately perceive the gender, emotion, and identity of the walker from these animations.[39] This ability highlights the importance of social cognition in recognizing and interpreting human movement and behavior.

Data on social-brain evolution

Research has shown that the evolution of the human brain is closely tied to the development of social cognition. The prefrontal cortex, a region of the brain involved in higher-level cognitive processes such as decision-making and social behavior, has undergone significant expansion in humans compared to other primates.[40] This expansion is thought to reflect the increased importance of social cognition in human evolution.

Pain of social exclusion

Social exclusion is a powerful social stressor that can elicit emotional and physiological responses similar to physical pain.[41] This response highlights the importance of social connections and acceptance for human well-being and underscores the centrality of social cognition in regulating social behavior.

Cultural differences

Social psychologists have become increasingly interested in the influence of culture on social cognition.[42] Although people of all cultures use schemas to understand the world, the content of schemas has been found to differ for individuals based on their cultural upbringing. For example, one study interviewed a Scottish settler and a Bantu herdsman from Swaziland and compared their schemas about cattle.[43] Because cattle are essential to the lifestyle of the Bantu people, the Bantu herdsman's schemas for cattle were far more extensive than the schemas of the Scottish settler. The Bantu herdsman was able to distinguish his cattle from dozens of others, while the Scottish settler was not.

Cultural influences have been found to shape some of the basic ways in which people automatically perceive and think about their environment. For example, a number of studies have found that people who grow up in East Asian cultures such as China and Japan tend to develop holistic thinking styles, whereas people brought up in Western cultures like Australia and the USA tend to develop analytic thinking styles.[44] [45] The typically Eastern holistic thinking style is a type of thinking in which people focus on the overall context and the ways in which objects relate to each other. For example, if an Easterner was asked to judge how a classmate is feeling then he/she might scan everyone's face in the class, and then use this information to judge how the individual is feeling.[46] On the other hand, the typically Western analytic thinking style is a type of thinking style in which people focus on individual objects and neglect to consider the surrounding context. For example, if a Westerner was asked to judge how a classmate is feeling, then he or she might focus only on the classmate's face in order to make the judgment.

Nisbett (2003) suggested that cultural differences in social cognition may stem from the various philosophical traditions of the East (i.e. Confucianism and Buddhism) versus the Greek philosophical traditions (i.e. of Aristotle and Plato) of the West. Other research indicates that differences in social cognition may originate from physical differences in the environments of the two cultures. One study found that scenes from Japanese cities were 'busier' than those in the US as they contain more objects which compete for attention. In this study, the Eastern holistic thinking style (and focus on the overall context) was attributed to the busier nature of the Japanese physical environment.[47]

Later studies find that these differences in cognitive style can be explained by differences in relational mobility. Relational mobility is a measure of how much choice individuals have in terms of whom to form relationships with, including friendships, romantic partnerships, and work relations. Relational mobility is low in cultures with a subsistence economy that requires tight cooperation and coordination, such as farming, while it is high in cultures based on nomadic herding and in urban industrial cultures. A cross-cultural study found that the relational mobility is lowest in East Asian countries where rice farming is common, and highest in South American countries.[48] [49]

Social cognitive neuroscience

See also: Social cognitive neuroscience. Early interest in the relationship between brain function and social cognition includes the case of Phineas Gage, whose behaviour was reported to have changed after an accident damaged one or both of his frontal lobes. More recent neuropsychological studies have shown that brain injuries disrupt social cognitive processes. For example, damage to the frontal lobes can affect emotional responses to social stimuli[50] [51] [52] and performance on theory of mind tasks.[53] [54] In the temporal lobe, damage to the fusiform gyrus can lead to the inability to recognize faces.

People with psychological disorders such as autism,[3] [55] psychosis,[4] [56] mood disorder,[57] [58] posttraumatic stress disorder (PTSD),[59] [60] Williams syndrome, antisocial personality disorder,[5] Fragile X, Turner's syndrome[61] and ADHD[62] show differences in social behavior compared to their unaffected peers. Parents with PTSD show disturbances in at least one aspect of social cognition: namely, joint attention with their young children only after a laboratory-induced relational stressor as compared to healthy parents without PTSD.[63] However, whether social cognition is underpinned by domain-specific neural mechanisms is still an open issue.[64] [65] There is now an expanding research field examining how such conditions may bias cognitive processes involved in social interaction, or conversely, how such biases may lead to the symptoms associated with the condition.

The development of social cognitive processes in infants and children has also been researched extensively (see developmental psychology). For example, it has been suggested that some aspects of psychological processes that promote social behavior (such as facial recognition) may be innate. Consistent with this, very young babies recognize and selectively respond to social stimuli such as the voice, face and scent of their mother.[66] From the perspective of the shared intentionality hypothesis, social behavior of these organisms with simple reflexes emerges due to social cognition in social interaction with caregivers. Numerous hyper-scanning research studies in adults and mother-child dyads[67] support the shared intentionality nature of social behavior in young children (see the section Development).

See also

Further reading

Notes and References

  1. Park . Mina . Song . Jae-Jin . Oh . Seo Jin . Shin . Min-Sup . Lee . Jun Ho . Oh . Seung Ha . BioMed Research International . en . 2015 . 1–7 . 10.1155/2015/313274 . 26236723 . 4506840 . 2314-6133 . The Relation between Nonverbal IQ and Postoperative CI Outcomes in Cochlear Implant Users: Preliminary Result . 2015. free .
  2. (International Social Cognition Network: http://www.socialcognition.info)
  3. Book: Social Cognition: Development, Neuroscience and Autism. Striano, T.. Reid, V.. Wiley-Blackwell. 978-1-4051-6217-3. 2009.
  4. Billeke . P. . Aboitiz . F. . Social cognition in schizophrenia: from social stimuli processing to social engagement. Frontiers in Psychiatry . 4 . 4 . eCollection 2013 . February 2013 . 10.3389/fpsyt.2013.00004 . 23444313 . 3580762. free .
  5. Book: Blair, J.. Psychopath: emotion and the brain. Mitchel, D. . Blair, K. . 2005. 978-0-631-23336-7. Wiley-Blackwell. 25–7.
  6. Cacioppo, J.T.. Berntson, G.G.. Sheridan, J.F.. McClintock, M.K.. amp. 2000. Multilevel integrative analyses of human behavior: social neuroscience and the complementing nature of social and biological approaches. Psychological Bulletin. 126. 6. 829–43. 11107878. 10.1037/0033-2909.126.6.829. dead. https://web.archive.org/web/20150806233305/http://psychology.uchicago.edu/people/faculty/cacioppo/jtcreprints/cbsm00.pdf. 2015-08-06.
  7. Cacioppo, J.T.. 2002. Social neuroscience: understanding the pieces fosters understanding the whole and vice versa. American Psychologist. 57. 11. 819–31. 12564179. 10.1037/0003-066X.57.11.819.
  8. Adolphs. R.. Social cognition and the human brain. Trends in Cognitive Sciences. 3. 469–79. 1999. 10.1016/S1364-6613(99)01399-6. 10562726. 12. 10.1.1.207.7847. 7782899.
  9. Book: Shaffer, D.R.. Developmental Psychology: Childhood and Adolescence. Kipp, K. . 978-0-495-60171-5. Wadsworth Publishing Company. Chapter 12: Theories of social and cognitive development . 2009.
  10. Book: Husain, A. . Social Psychology. 9788131760000 . Pearson Education India. Chapter 5: Social Perception and Cognition . 2012.
  11. Book: Fiske, S.T.. Taylor, S.E. . Social Cognition . registration. 978-0-07-100910-2. McGraw-Hill, Inc.. 1991.
  12. Book: Augustinos, M. . Walker, I. . Donaghue, N.. Social Cognition an Integrated Introduction. 978-0-7619-4218-4. SAGE Publications Ltd. 2006. London.
  13. Tomasello, M. (1999). The Cultural Origins of Human Cognition. Cambridge, Massachusetts: Harvard University Press. 1999.
  14. Tomasello, M. Becoming Human: A Theory of Ontogeny. Cambridge, Massachusetts: Harvard University Press; 2019.
  15. Val Danilov I. & Mihailova S. (2023). "Empirical Evidence of Shared Intentionality: Towards Bioengineering Systems Development." OBM Neurobiology 2023; 7(2): 167; doi:10.21926/obm.neurobiol.2302167.https://www.lidsen.com/journals/neurobiology/neurobiology-07-02-167
  16. McClung, J. S., Placì, S., Bangerter, A., Clément, F., & Bshary, R. (2017). "The language of cooperation: shared intentionality drives variation in helping as a function of group membership." Proceedings of the Royal Society B: Biological Sciences, 284(1863), 20171682. http://dx.doi.org/10.1098/rspb.2017.1682.
  17. Shteynberg, G., & Galinsky, A. D. (2011). "Implicit coordination: Sharing goals with similar others intensifies goal pursuit. Journal of Experimental Social Psychology, 47(6), 1291-1294., https://doi.org/10.1016/j.jesp.2011.04.012.
  18. Fishburn, F. A., Murty, V. P., Hlutkowsky, C. O., MacGillivray, C. E., Bemis, L. M., Murphy, M. E., ... & Perlman, S. B. (2018). "Putting our heads together: interpersonal neural synchronization as a biological mechanism for shared intentionality." Social cognitive and affective neuroscience, 13(8), 841-849.
  19. Val Danilov, I. (2023). "Theoretical Grounds of Shared Intentionality for Neuroscience in Developing Bioengineering Systems." OBM Neurobiology 2023; 7(1): 156; doi:10.21926/obm.neurobiol.2301156. https://www.lidsen.com/journals/neurobiology/neurobiology-07-01-156 .
  20. Val Danilov . Igor . 2023. Shared Intentionality Modulation at the Cell Level: Low-Frequency Oscillations for Temporal Coordination in Bioengineering Systems . OBM Neurobiology . en . 7 . 4 . 1–17 . 10.21926/obm.neurobiol.2304185. free .
  21. Val Danilov I. (2023). "Low-Frequency Oscillations for Nonlocal Neuronal Coupling in Shared Intentionality Before and After Birth: Toward the Origin of Perception." OBM Neurobiology 2023; 7(4): 192; doi:10.21926/obm.neurobiol.2304192.https://www.lidsen.com/journals/neurobiology/neurobiology-07-04-192
  22. OECD (2007). "Understanding the Brain: The Birth of a Learning Science." OECD Publishing. p. 165. ISBN 978-92-64-02913-2.
  23. Chapter 2: The Montessori philosophy. From Lillard, P. P. Lillard (1972). Montessori: A Modern Approach. Schocken Books, New York.
  24. Castiello, U.; Becchio, C.; Zoia, S.; Nelini, C.; Sartori, L.; Blason, L.; D'Ottavio, G.; Bulgheroni, M.; Gallese, V. (2010). "Wired to be social: the ontogeny of human interaction." PloS one, 5(10), p.e13199.
  25. Kisilevsky, B.C. (2016). "Fetal Auditory Processing: Implications for Language Development? Fetal Development." Research on Brain and Behavior, Environmental In uences, and Emerging Technologies,: 133-152.
  26. Lee, G.Y.C.; Kisilevsky, B.S. (2014). "Fetuses respond to father’s voice but prefer mother’s voice after birth." Developmental Psychobiology, 56: 1-11.
  27. Hepper, P.G.; Scott, D.; Shahidullah, S. (1993). "Newborn and fetal response to maternal voice." Journal of Reproductive and Infant Psychology, 11: 147-153.
  28. Lecanuet, J.P.; Granier‐Deferre, C.; Jacquet, A.Y.; Capponi, I.; Ledru, L. (1993). "Prenatal discrimination of a male and a female voice uttering the same sentence." Early development and parenting, 2(4): 217-228.
  29. Hepper P. (2015). "Behavior during the prenatal period: Adaptive for development and survival." Child Development Perspectives, 9(1): 38-43. DOI: 10.1111/cdep.12104.
  30. Jardri, R.; Houfflin-Debarge, V.; Delion, P.; Pruvo, J-P.; Thomas, P.; Pins, D. (2012). "Assessing fetal response to maternal speech using a noninvasive functional brain imaging technique." International Journal of Developmental Neuroscience, 2012, 30: 159–161. doi:10.1016/j.ijdevneu.2011.11.002.
  31. Liu J, Zhang R, Xie E, Lin Y, Chen D, Liu Y, Li K, Chen M, Li Y, Wang G, Li X . 6 . Shared intentionality modulates interpersonal neural synchronization at the establishment of communication system . Communications Biology . 6 . 1 . 832 . August 2023 . 37563301 . 10415255 . 10.1038/s42003-023-05197-z .
  32. Painter DR, Kim JJ, Renton AI, Mattingley JB . Joint control of visually guided actions involves concordant increases in behavioural and neural coupling . Communications Biology . 4 . 1 . 816 . June 2021 . 34188170 . 8242020 . 10.1038/s42003-021-02319-3 .
  33. Hu Y, Pan Y, Shi X, Cai Q, Li X, Cheng X . Inter-brain synchrony and cooperation context in interactive decision making . Biological Psychology . 133 . 54–62 . March 2018 . 29292232 . 10.1016/j.biopsycho.2017.12.005 . 46859640 .
  34. Szymanski C, Pesquita A, Brennan AA, Perdikis D, Enns JT, Brick TR, Müller V, Lindenberger U . 6 . Teams on the same wavelength perform better: Inter-brain phase synchronization constitutes a neural substrate for social facilitation . NeuroImage . 152 . 425–436 . May 2017 . 28284802 . 10.1016/j.neuroimage.2017.03.013 . 11858/00-001M-0000-002D-059A-1 . 3807834 . free .
  35. Alpay . L.. Verhoef, J. . Teeni, D. . Putter, H. . Toussaint, P. . Zwetsloot-Schonk, J. . 2008 . Can contextualisation increase understanding during man-machine communication? A theory driven study . The Open Medical Informatics Journal . 2 . 82–91. 10.2174/1874431100802010082 . free. 19415137. 2669642.
  36. Nummenmaa, L.; Peets, K.; Salmivalli, C. (2008). "Automatic Activation of Adolescents' Peer-Relational Schemas: Evidence from Priming with Facial Identity." Child Development, 79(6), 1659.
  37. Erskine. James A. K.. Ussher. Michael. Cropley. Mark. Elgindi. Abdelaziz. Zaman. Manzir. Corlett. Bethan. 2011. Effect of thought suppression on desire to smoke and tobacco withdrawal symptoms. Psychopharmacology. en. 219. 1. 205–211. 10.1007/s00213-011-2391-4. 21735073. 18853593. 0033-3158.
  38. Boutsen, L., Humphreys, G. W., Praamstra, P., & Warbrick, T. (2006). "Comparing neural correlates of configural processing in faces and objects: An ERP study of the Thatcher illusion." Neuroimage, 32(1), 352-367. https://doi.org/10.1016/j.neuroimage.2006.03.023
  39. Dunbar, R. I. M. (2008). "The social brain hypothesis." Evolutionary Anthropology: Issues, News, and Reviews, 6(5), 178-190. https://doi.org/10.1002/(SICI)1520-6505(1998)6:5
  40. Eisenberger, N. I.; Lieberman, M. D. (2004). "Why rejection hurts: a common neural alarm system for physical and social pain." Trends in cognitive sciences, 8(7), 294-300. https://doi.org/10.1016/j.tics.2004.05.010
  41. Johansson, G. (1973). "Visual perception of biological motion and a model for its analysis." Perception & Psychophysics, 14(2), 201-211.
  42. Book: Aronson, E. . Wilson, T . Akert, R.. Social Psychology . Pearson . Chapter 3: Social Cognition . 2010.
  43. Book: Bartlett, F. . Remembering . Cambridge: Cambridge University Press . 249 . 1932.
  44. Nisbett . R. . Peng, K. . Choi, I. . Norenzayan, A. . Culture and Systems of thought: Holistic vs. analytic cognition . Psychological Review . 108 . 291–310 . 2001 . 10.1037/0033-295X.108.2.291 . 11381831 . 2. 17739645 .
  45. Takahiko Masuda . Masuda . T. . Nisbett. R. . Culture and change blindness . Cognitive Science . 30 . 381–389 . 2006 . 10.1207/s15516709cog0000_63 . 21702819 . 2. 10.1.1.594.9397 .
  46. Masuda . T. . Ellsworth, P. C.. Phoebe C. Ellsworth. Batja Mesquita . Mesquita, B. . Placing the face in context: Cultural differences in the perception of facial emotion . Journal of Personality and Social Psychology . 94 . 365–381 . 2008 . 10.1037/0022-3514.94.3.365 . 18284287 . 3.
  47. Miyamoto . Y. . Kitayama, S. . Cultural variation in correspondence bias: The critical role of attitude diagnosticity of socially constrained behaviour . Journal of Personality and Social Psychology . 83 . 1239–1248 . 2002 . 10.1037/0022-3514.83.5.1239 . 12416925 . 5. 10.1.1.319.6787 .
  48. Thomson . Robert. etal. Relational mobility predicts social behaviors in 39 countries and is tied to historical farming and threat . Proceedings of the National Academy of Sciences . 2018 . 115 . 29 . 7521–7526. 10.1073/pnas.1713191115. 29959208. 6055178. 2018PNAS..115.7521T . free.
  49. Book: Yuki . Masaki . Schug . Joanna. Omri Gillath . Gillath . O. . Adams . G. . Kunkel . A. . Relationship Science: Integrating Evolutionary, Neuroscience, and Sociocultural Approaches . 2012 . American Psychological Association . 137–151 . Relational mobility: A socioecological approach to personal relationships. 10.1037/13489-007. 2115/52726 . 978-1-4338-1123-4 . 53496958 .
  50. Book: Harmon-Jones, E. . Winkielman, P. . 2007 . Social Neuroscience: Integrating Biological and Psychological Explanations of Social Behavior . Guilford Press . 978-1-59385-404-1 . registration .
  51. Book: Damasio, A.R. . Descartes' Error: Emotion, reason and the human brain . 1994 . Picador . New York . 978-0-333-65656-3.
  52. Hornak . J. . Rolls, E.T. . Wade, D. . 1996 . Face and voice expression identification in patients with emotional and behavioral changes following ventral frontal lobe damage . Neuropsychologia . 34 . 247–61 . 10.1016/0028-3932(95)00106-9 . 8657356 . 4. 35269740 .
  53. Stone . V.E. . Baron-Cohen, S. . Knight, R.T. . Frontal lobe contributions to theory of mind . Journal of Cognitive Neuroscience . 10 . 640–56 . 1998 . 10.1162/089892998562942 . 9802997 . 5. 10.1.1.330.1488 . 207724498 .
  54. Brunet . E. . Sarfati, Y. . Hardy-Bayle, MC. . Decety, J. . 2000 . A PET investigation of attribution of intentions to others with a non-verbal task . NeuroImage . 11 . 157–66 . 10.1006/nimg.1999.0525 . 10679187 . 2. 11846982 .
  55. European Journal of Neuroscience. 2017 . Identification of lateralized compensatory neural activities within the social brain due to autism spectrum disorder in adolescent males . Subbaraju V, Sundaram S, Narasimhan S . 47 . 6 . 631–642 . 10.1111/ejn.13634. 28661076 . 4306986 .
  56. Fusar-Poli . P. . Deste . G. . Smieskova . R. . Barlati . S. . Yung . AR. . Howes . O. . Stieglitz . RD. . Vita . A. . McGuire . P. . Cognitive functioning in prodromal psychosis: a meta-analysis . Arch Gen Psychiatry . 69 . 6 . 562–71 . Jun 2012 . 10.1001/archgenpsychiatry.2011.1592 . 22664547 . Borgwardt . Stefan .
  57. Billeke . P. . Boardman . S. . Doraiswamy . P. . Social cognition in major depressive disorder: A new paradigm?. Translational Neuroscience . 4 . 4 . 437–447 . December 2013 . 10.2478/s13380-013-0147-9. 144849027 . free .
  58. Web site: APA PsycNet. 2020-08-30. psycnet.apa.org. en.
  59. Nazarov. Anthony. Walaszczyk. Victoria. Frewen. Paul. Oremus. Carolina. Lanius. Ruth. McKinnon. Margaret C.. 2016-11-01. Moral reasoning in women with posttraumatic stress disorder related to childhood abuse. European Journal of Psychotraumatology. 7. s2. 31028. 10.3402/ejpt.v7.31028. 27837580. 5106867. 2000-8198.
  60. Nazarov. A.. Frewen. P.. Parlar. M.. Oremus. C.. MacQueen. G.. McKinnon. M.. Lanius. R.. 2014. Theory of mind performance in women with posttraumatic stress disorder related to childhood abuse. Acta Psychiatrica Scandinavica. en. 129. 3. 193–201. 10.1111/acps.12142. 23662597. 35899724. 1600-0447.
  61. Mazzocco . M.M.M. . Journal of Autism and Developmental Disorders . Social Functioning Among Girls with Fragile X or Turner Syndrome and Their Sisters . 28 . 6 . 1998 . 509–17 . 10.1023/A:1026000111467 . 9932237 . Baumgardner. Thomas. Freund . Lisa S. . Reiss. Allan L.. 40061340 . etal.
  62. Morellini . Lucia . Ceroni . Martino . Rossi . Stefania . Zerboni . Giorgia . Rege-Colet . Laura . Biglia . Elena . Morese . Rosalba . Sacco . Leonardo . 2022-07-11 . Social Cognition in Adult ADHD: A Systematic Review . Frontiers in Psychology . English . 13 . 10.3389/fpsyg.2022.940445 . free . 1664-1078. 9311421 .
  63. Schechter, D.S.. Willheim, E.. Hinojosa, C.. Scholfield-Kleinman, K.. Turner, J.B.. McCaw, J.. Zeanah, C.H.. Myers, M.M.. 2010. Subjective and objective measures of parent-child relationship dysfunction, child separation distress, and joint attention. Psychiatry: Interpersonal and Biological Processes. 73. 2. 130–44. 10.1521/psyc.2010.73.2.130. 20557225. 5132495.
  64. Stone . V.E. . Gerrans, P. . 2006 . What's domain-specific about theory of mind . Social Neuroscience . 1 . 3–4 . 309–19 . 10.1080/17470910601029221 . 18633796. 24446270 .
  65. Web site: APA PsycNet. 2020-08-30. psycnet.apa.org. en.
  66. Book: Bremner, J.G. . Infancy . https://archive.org/details/infancy0000brem . registration . 182–3 . Chapter 5: Social Development . 1994 . B. Blackwell . 978-0-631-14809-8. .
  67. Atilla, F.; Alimardani, M.; Kawamoto, T.; Hiraki, K. (2023). "Mother-child inter-brain synchrony during a mutual visual search task: A study of feedback valence and role." Social Neuroscience, 18:4, 232-244, DOI:10.1080/17470919.2023.2228545