Social cognitive neuroscience

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Social cognitive neuroscience is the scientific study of the biological processes underpinning social cognition. Specifically, it uses the tools of neuroscience to study "the mental mechanisms that create, frame, regulate, and respond to our experience of the social world". [1] Social cognitive neuroscience uses the epistemological foundations of cognitive neuroscience, and is closely related to social neuroscience. [2] Social cognitive neuroscience employs human neuroimaging, typically using functional magnetic resonance imaging (fMRI). Human brain stimulation techniques such as transcranial magnetic stimulation and transcranial direct-current stimulation are also used. In nonhuman animals, direct electrophysiological recordings and electrical stimulation of single cells and neuronal populations are utilized for investigating lower-level social cognitive processes. [3] [2] [4]

Contents

History and methods

The first scholarly works about the neural bases of social cognition can be traced back to Phineas Gage, a man who survived a traumatic brain injury in 1849 and was extensively studied for resultant changes in social functioning and personality. [4] In 1924, esteemed psychologist Gordon Allport wrote a chapter on the neural bases of social phenomenon in his textbook of social psychology. [5] However, these works did not generate much activity in the decades that followed. The beginning of modern social cognitive neuroscience can be traced to Michael Gazzaniga's book, Social Brain (1985), which attributed cerebral lateralization to the peculiarities of social psychological phenomenon.[ citation needed ] Isolated pockets of social cognitive neuroscience research emerged in the late 1980s to the mid-1990s, mostly using single-unit electrophysiological recordings in nonhuman primates or neuropsychological lesion studies in humans. [4] During this time, the closely related field of social neuroscience emerged in parallel, however it mostly focused on how social factors influenced autonomic, neuroendocrine, and immune systems. [4] [2] In 1996, Giacomo Rizzolatti's group made one of the most seminal discoveries in social cognitive neuroscience: the existence of mirror neurons in macaque frontoparietal cortex. [6] The mid-1990s saw the emergence of functional positron emission tomography (PET) for humans, which enabled the neuroscientific study of abstract (and perhaps uniquely human[ citation needed ]) social cognitive functions such as theory of mind and mentalizing. However, PET is prohibitively expensive and requires the ingestion of radioactive tracers, thus limiting its adoption. [4]

In the year 2000, the term social cognitive neuroscience was coined by Matthew Lieberman and Kevin Ochsner, who are from social and cognitive psychology backgrounds, respectively. This was done to integrate and brand the isolated labs doing research on the neural bases of social cognition. [1] [4] Also in the year 2000, Elizabeth Phelps and colleagues published the first fMRI study on social cognition, specifically on race evaluations. [7] The adoption of fMRI, a less expensive and noninvasive neuroimaging modality, induced explosive growth in the field. In 2001, the first academic conference on social cognitive neuroscience was held at University of California, Los Angeles. The mid-2000s saw the emergence of academic societies related to the field ( Social and Affective Neuroscience Society, Society for Social Neuroscience ), as well as peer-reviewed journals specialized for the field ( Social Cognitive and Affective Neuroscience, Social Neuroscience ). [4] In the 2000s and beyond, labs conducting social cognitive neuroscience research proliferated throughout Europe, North America, East Asia, Australasia, and South America. [8] [4] [2]

Starting in the late 2000s, the field began to expand its methodological repertoire by incorporating other neuroimaging modalities (e.g. electroencephalography, magnetoencephalography, functional near-infrared spectroscopy), [9] advanced computational methods (e.g. multivariate pattern analysis, causal modeling, graph theory), [10] and brain stimulation techniques (e.g. transcranial magnetic stimulation, transcranial direct-current stimulation, deep brain stimulation). [11] Due to the volume and rigor of research in the field, the 2010s saw social cognitive neuroscience achieving mainstream acceptance in the wider fields of neuroscience and psychology. [4] [2] [3]

Hyperscanning or inter-brain research is becoming the most frequent approach to studying social cognition. [12] [13] [14] [15] It is thought that exploring the correlation of neuronal activities of two or more brains in shared cognitive tasks can contribute to understanding the relationship between social experiences and neurophysiological processes. [16]

Functional anatomy

Much of social cognition is primarily subserved by two dissociable macro-scale brain networks: the mirror neuron system (MNS) and default mode network (DMN). MNS is thought to represent and identify observable actions (e.g. reaching for a cup) that are used by DMN to infer unobservable mental states, traits, and intentions (e.g. thirsty). [17] [3] [18] [19] Concordantly, the activation onset of MNS has been shown to precede DMN during social cognition. [17] However, the extent of feedforward, feedback, and recurrent processing within and between MNS and DMN is not yet well-characterized, thus it is difficult to fully dissociate the exact functions of the two networks and their nodes. [3] [17] [19]

Mirror neuron system (MNS)

Mirror neurons, first discovered in macaque frontoparietal cortex, fire when actions are either performed or observed. [6] In humans, similar sensorimotor "mirroring" responses have been found in the brain regions listed below, which are collectively referred to as MNS. [6] [20] The MNS has been found to identify and represent intentional actions such as facial expressions, body language, and grasping. [17] [20] MNS may encode the concept of an action, not just the sensory and motor information associated with an action. As such, MNS representations have been shown to be invariant of how an action is observed (e.g. sensory modality) and how an action is performed (e.g. left versus right hand, upwards or downwards). [21] [22] MNS has even been found to represent actions that are described in written language. [23]

Mechanistic theories of MNS functioning fall broadly into two camps: motor and cognitive theories. Classical motor theories posit that abstract action representations arise from simulating actions within the motor system, while newer cognitive theories propose that abstract action representations arise from the integration of multiple domains of information: perceptual, motor, semantic, and conceptual. [24] [21] Aside from these competing theories, there are more fundamental controversies surrounding the human MNS – even the very existence of mirror neurons in this network is debated. [25] [26] As such, the term "MNS" is sometimes eschewed for more functionally defined names such as "action observation network", "action identification network", and "action representation network". [26]

Premotor cortex

Mirror neurons were first discovered in macaque premotor cortex. [6] The premotor cortex is associated with a diverse array of functions, encompassing low-level motor control, motor planning, sensory guidance of movement, along with higher level cognitive functions such as language processing and action comprehension. [27] The premotor cortex has been found to contain subregions with unique cytoarchitectural properties, the significance of which is not yet fully understood. [28] In humans, sensorimotor mirroring responses are also found throughout premotor cortex and adjacent sections of inferior frontal gyrus and supplementary motor area. [6] [20]

Visuospatial information is more prevalent in ventral premotor cortex than dorsal premotor cortex. [27] In humans, sensorimotor mirroring responses extend beyond ventral premotor cortex into adjacent regions of inferior frontal gyrus, including Broca's area, an area that is critical to language processing and speech production. [29] Action representations in inferior frontal gyrus can be evoked by language, such as action verbs, in addition to the observed and performed actions typically used as stimuli in biological motion studies. [23] The overlap between language and action understanding processes in inferior frontal gyrus has spurred some researchers to suggest overlapping neurocomputational mechanisms between the two. [29] [23] [22] Dorsal premotor cortex is strongly associated with motor preparation and guidance, such as representing multiple motor choices and deciding the final selection of action. [27]

Intraparietal sulcus

Classical studies of action observation have found mirror neurons in macaque intraparietal sulcus. [6] In humans, sensorimotor mirroring responses are centered around the anterior intraperietal sulcus, with responses also seen in adjacent regions such as inferior parietal lobule and superior parietal lobule. Intraparietal sulcus has been shown to more sensitive to the motor features of biological motion, relative to semantic features. [20] Intraparietal sulcus has been shown to encode magnitude in a domain-general manner, whether it be the magnitude of a motor movement, or the magnitude of a person's social status. [30] Intraparietal sulcus is considered a part of the dorsal visual stream, but is also thought to receive inputs from non-dorsal stream regions such as lateral occipitotemporal cortex and posterior superior temporal sulcus. [20]

Lateral occipitotemporal cortex (LOTC)

LOTC encompasses lateral regions of the visual cortex such as V5 and extrastriate body area. Though LOTC is typically associated with visual processing, sensorimotor mirroring responses and abstract action representations are reliably found in this region. [24] [31] LOTC includes cortical areas that are sensitive to motion, objects, body parts, kinematics, body postures, observed movements, and semantic content in verbs. [24] [31] LOTC is thought to encode the fine sensorimotor details of an observed action (e.g. local kinematic and perceptual features). [31] LOTC is also thought to bind together the different means by which a specific action can be carried out. [24]

Default mode network (DMN)

The default mode network (DMN) is thought to process and represent abstract social information, such as mental states, traits, and intentions. [3] [32] [33] Social cognitive functions such as theory of mind, mentalizing, emotion recognition, empathy, moral cognition, and social working memory consistently recruit DMN regions in human neuroimaging studies. Though the functional anatomy of these functions can differ, they often include the core DMN hubs of medial prefrontal cortex, posterior cingulate, and temporoparietal junction. [3] [32] [33] [34] [18] [35] Aside from social cognition, the DMN is broadly associated with internally directed cognition. [36] The DMN has been found to be involved in memory-related processing (semantic, episodic, prospection), self-related processing (e.g. introspection), and mindwandering. [36] [37] [38] Unlike studies of the mirror neuron system, task-based DMN investigations almost always use human subjects, as DMN-related social cognitive functions are rudimentary or difficult to measure in nonhumans. [38] [3] However, much of DMN activity occurs during rest, as DMN activation and connectivity are quickly engaged and sustained during the absence of goal-directed cognition. [38] As such, the DMN is widely thought the subserve the "default mode" of mammalian brain function. [39]

The interrelations between social cognition, rest, and the diverse array of DMN-related functions are not yet well understood and is a topic of active research. Social, non-social, and spontaneous processes in the DMN are thought to share at least some underlying neurocomputational mechanisms with each other. [30] [40] [41] [42] [43]

Medial prefrontal cortex (mPFC)

Medial prefrontal cortex (mPFC) is strongly associated with abstract social cognition such as mentalizing and theory of mind. [44] [3] [18] [35] Mentalizing activates much of the mPFC, but dorsal mPFC appears to be more selective for information about other people, while anterior mPFC may be more selective for information about the self. [44]

Ventral regions of mPFC, such as ventromedial prefrontal cortex and medial orbitofrontal cortex, are thought to play a critical role in the affective components of social cognition. For example, ventromedial prefrontal cortex has been found to represent affective information about other people. [3] [32] [34] Ventral mPFC has been shown to be critical in the computation and representation of valence and value for many types of stimuli, not just social stimuli. [45]

The mPFC may subserve the most abstract components of social cognition, as it is one of the most domain general brain regions, sits at the top of the cortical hierarchy, and is last to activate during DMN-related tasks. [3] [38] [46]

Posterior cingulate cortex (PCC)

Abstract social cognition recruits a large area of posteromedial cortex centered around posterior cingulate cortex (PCC), but also extending into precuneus and retrosplenial cortex. [32] [3] The specific function of PCC in social cognition is not yet well characterized, [35] [33] and its role may be generalized and tightly linked with medial prefrontal cortex. [32] [40] One view is that PCC may help represent some visuospatial and semantic components of social cognition. [47] Additionally, PCC may track social dynamics by facilitating bottom-up attention to behaviorally relevant sources of information in the external environment and in memory. [40] Dorsal PCC is also linked to monitoring behaviorally relevant changes in the environment, perhaps aiding in social navigation. [34] Outside of the social domain, PCC is associated with a very diverse array of functions, such as attention, memory, semantics, visual processing, mindwandering, consciousness, cognitive flexibility, and mediating interactions between brain networks. [48]

Temporoparietal junction (TPJ)

The temporoparietal junction (TPJ) is thought to be critical to distinguishing between multiple agents, such as the self and other. [35] The right TPJ is robustly activated by false belief tasks, in which subjects have to distinguish between others' beliefs and their own beliefs in a given situation. [18] [35] [3] The TPJ is also recruited by the wide variety of abstract social cognitive tasks associated with the DMN. [3] [32] [34] Outside of the social domain, TPJ is associated with a diverse array of functions such as attentional reorienting, target detection, contextual updating, language processing, and episodic memory retrieval. [49] [50] [51] [52] [41] The social and non-social functions of the TPJ may share common neurocomputational mechanisms. [53] [50] [41] For example, the substrates of attentional reorientation in TPJ may be used for reorienting attention between the self and others, and for attributing attention between social agents. [50] [53] Moreover, a common neural encoding mechanism has been found to instantiate social, temporal, and spatial distance in TPJ. [30]

Superior temporal sulcus (STS)

Social tasks recruit areas of lateral temporal cortex centered around superior temporal sulcus (STS), but also extending to superior temporal gyrus, middle temporal gyrus, and the temporal poles. [35] [33] During social cognition, the anterior STS and temporal poles are strongly associated with abstract social cognition and person information, while the posterior STS is most associated with social vision and biological motion processing. [35] [3] The posterior STS is also thought to provide perceptual inputs to the mirror neuron system. [20] [17]

Other regions

There are also several brain regions that fall outside the MNS and DMN which are strongly associated with certain social cognitive functions. [1]

Ventrolateral prefrontal cortex (VLPFC)

The ventrolateral prefrontal cortex (VLPFC) is associated with emotional and inhibitory processing. It has been found to be involved in emotion recognition from facial expressions, body language, prosody, and more. Specifically, it is thought to access semantic representations of emotional constructs during emotion recognition. [54] Moreover, VLPFC is often recruited in empathy, mentalizing, and theory of mind tasks. VLPFC is thought to support the inhibition of self-perspective when thinking about other people. [1]

Insula

The insula is critical to emotional processing and interoception. It has been found to be involved in emotion recognition, empathy, morality, and social pain. The anterior insula is thought to facilitate feeling the emotions of others, especially negative emotions such as vicarious pain. Lesions of the insula are associated with decreased empathy capacity. Anterior insula also activates during social pain, such as the pain caused by social rejection. [55] [1]

Anterior cingulate cortex (ACC)

The anterior cingulate cortex (ACC) is associated with emotional processing and error monitoring. The dorsal ACC appears to share some social cognitive functions to the anterior insula, such as facilitating feeling the emotions of others, especially negative emotions. The dorsal ACC also robustly activates during social pain, like the pain caused by being the victim of an injustice. The dorsal ACC is also associated with social evaluation, such as the detection and appraisal of social exclusion. The subgenual ACC has been found to activate for vicarious reward, and may be involved in prosocial behavior. [55] [1]

Fusiform face area (FFA)

The fusiform face area (FFA) is strongly associated with face processing and perceptual expertise. The FFA has been shown to process the visuospatial features of faces, and may also encode some semantic features of faces. [43] [1]

Notable figures

See also

Further reading

Related Research Articles

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<span class="mw-page-title-main">Brodmann area 44</span> Brain area

Brodmann area 44, or BA44, is part of the frontal cortex in the human brain. Situated just anterior to premotor cortex (BA6) and on the lateral surface, inferior to BA9.

A mirror neuron is a neuron that fires both when an animal acts and when the animal observes the same action performed by another. Thus, the neuron "mirrors" the behavior of the other, as though the observer were itself acting. Mirror neurons are not always physiologically distinct from other types of neurons in the brain; their main differentiating factor is their response patterns. By this definition, such neurons have been directly observed in humans and primate species, and in birds.

<span class="mw-page-title-main">Orbitofrontal cortex</span> Region of the prefrontal cortex of the brain

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<span class="mw-page-title-main">Posterior cingulate cortex</span> Caudal part of the cingulate cortex of the brain

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<span class="mw-page-title-main">Mu wave</span> Electrical activity in the part of the brain controlling voluntary movement

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<span class="mw-page-title-main">Biological motion</span> Motion that comes from actions of a biological organism

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References

  1. 1 2 3 4 5 6 7 Lieberman, Matthew D. (2010), "Social Cognitive Neuroscience", Handbook of Social Psychology, American Cancer Society, doi:10.1002/9780470561119.socpsy001005, ISBN   9780470561119
  2. 1 2 3 4 5 Amodio, David M.; Ratner, Kyle G. (2013-08-22). The Neuroscience of Social Cognition. doi:10.1093/oxfordhb/9780199730018.001.0001. ISBN   9780199730018.{{cite book}}: |journal= ignored (help)
  3. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Lieberman, Matthew D. (2013-10-10). Social: Why Our Brains are Wired to Connect. OUP Oxford. ISBN   9780199645046.
  4. 1 2 3 4 5 6 7 8 9 Lieberman, Matthew D. (2012-06-01). "A geographical history of social cognitive neuroscience". NeuroImage. 61 (2): 432–436. doi:10.1016/j.neuroimage.2011.12.089. ISSN   1053-8119. PMID   22309803. S2CID   7414824.
  5. ↑ Henry., Allport, Floyd (1994). Social psychology. Routledge/Thoemmes. OCLC   312005054.{{cite book}}: CS1 maint: multiple names: authors list (link)
  6. 1 2 3 4 5 6 Rizzolatti, G; Craighero, L (2004). "The mirror-neuron system". Annual Review of Neuroscience. 27: 169–92. doi:10.1146/annurev.neuro.27.070203.144230. PMID   15217330. S2CID   1729870.[ needs update ]
  7. ↑ Phelps, E. A.; O'Connor, K. J.; Cunningham, W. A.; Funayama, E. S.; Gatenby, J. C.; Gore, J. C.; Banaji, M. R. (September 2000). "Performance on indirect measures of race evaluation predicts amygdala activation" (PDF). Journal of Cognitive Neuroscience. 12 (5): 729–738. doi:10.1162/089892900562552. ISSN   0898-929X. PMID   11054916. S2CID   4843980.
  8. ↑ "The Social and Affective Neuroscience Society - Labs". socialaffectiveneuro.org. Retrieved 2018-12-04.
  9. ↑ Babiloni, Fabio; Astolfi, Laura (2014-07-01). "Social neuroscience and hyperscanning techniques: Past, present and future". Neuroscience & Biobehavioral Reviews. 44: 76–93. doi:10.1016/j.neubiorev.2012.07.006. ISSN   0149-7634. PMC   3522775 . PMID   22917915.
  10. ↑ Dunne, Simon; o'Doherty, John P. (2013-06-01). "Insights from the application of computational neuroimaging to social neuroscience". Current Opinion in Neurobiology. 23 (3): 387–392. doi:10.1016/j.conb.2013.02.007. ISSN   0959-4388. PMC   3672247 . PMID   23518140.
  11. ↑ Di Nuzzo, C.; Ferrucci, R.; Gianoli, E.; Reitano, M.; Tedino, D.; Ruggiero, F.; Priori, Alberto (2018-11-30). "How Brain Stimulation Techniques Can Affect Moral and Social Behaviour". Journal of Cognitive Enhancement. 2 (4): 335–347. doi:10.1007/s41465-018-0116-x. ISSN   2509-3290. S2CID   150009749.
  12. ↑ Liu J, Zhang R, Xie E, Lin Y, Chen D, Liu Y, et al. (August 2023). "Shared intentionality modulates interpersonal neural synchronization at the establishment of communication system". Communications Biology. 6 (1): 832. doi:10.1038/s42003-023-05197-z. PMC   10415255 . PMID   37563301.
  13. ↑ Painter DR, Kim JJ, Renton AI, Mattingley JB (June 2021). "Joint control of visually guided actions involves concordant increases in behavioural and neural coupling". Communications Biology. 4 (1): 816. doi:10.1038/s42003-021-02319-3. PMC   8242020 . PMID   34188170.
  14. ↑ Hu Y, Pan Y, Shi X, Cai Q, Li X, Cheng X (March 2018). "Inter-brain synchrony and cooperation context in interactive decision making". Biological Psychology. 133: 54–62. doi:10.1016/j.biopsycho.2017.12.005. PMID   29292232. S2CID   46859640.
  15. ↑ Szymanski C, Pesquita A, Brennan AA, Perdikis D, Enns JT, Brick TR, et al. (May 2017). "Teams on the same wavelength perform better: Inter-brain phase synchronization constitutes a neural substrate for social facilitation". NeuroImage. 152: 425–436. doi:10.1016/j.neuroimage.2017.03.013. hdl: 11858/00-001M-0000-002D-059A-1 . PMID   28284802. S2CID   3807834.
  16. ↑ Fishburn, F. A.; Murty, V. P.; Hlutkowsky, C. O.; MacGillivray, C. E.; Bemis, L. M.; Murphy, M. E.; Huppert, T. J.; Perlman, S. B. "Putting our heads together: Interpersonal neural synchronization as a biological mechanism for shared intentionality." Social Cognitive and Affective Neuroscience. 2018 Aug; 13(8):841-9.
  17. 1 2 3 4 5 Catmur, Caroline (2015-11-01). "Understanding intentions from actions: Direct perception, inference, and the roles of mirror and mentalizing systems" (PDF). Consciousness and Cognition. 36: 426–433. doi:10.1016/j.concog.2015.03.012. ISSN   1053-8100. PMID   25864592. S2CID   7424633.
  18. 1 2 3 4 Theory of Mind: A Special Issue of Social Neuroscience. Psychology Press / [distributor] Taylor & Francis, c/o Bookpoint. 2006.
  19. 1 2 Molnar-Szakacs, Istvan; Uddin, Lucina Q. (2013). "Self-Processing and the Default Mode Network: Interactions with the Mirror Neuron System". Frontiers in Human Neuroscience. 7: 571. doi: 10.3389/fnhum.2013.00571 . ISSN   1662-5161. PMC   3769892 . PMID   24062671.
  20. 1 2 3 4 5 6 Rizzolatti, G; Fabbri-Destro, M (April 2008). "The mirror system and its role in social cognition". Current Opinion in Neurobiology. 18 (2): 179–84. doi:10.1016/j.conb.2008.08.001. PMID   18706501. S2CID   206950104.[ needs update ]
  21. 1 2 Oosterhof, Nikolaas N.; Tipper, Steven P.; Downing, Paul E. (2013-07-01). "Crossmodal and action-specific: neuroimaging the human mirror neuron system". Trends in Cognitive Sciences. 17 (7): 311–318. doi:10.1016/j.tics.2013.04.012. ISSN   1364-6613. PMID   23746574. S2CID   14200818.
  22. 1 2 Kaplan, Jonas T.; Man, Kingson; Greening, Steven G. (2015). "Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations". Frontiers in Human Neuroscience. 9: 151. doi: 10.3389/fnhum.2015.00151 . ISSN   1662-5161. PMC   4373279 . PMID   25859202.
  23. 1 2 3 Pulvermüller, Friedemann (2013-09-01). "How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics". Trends in Cognitive Sciences. 17 (9): 458–470. doi: 10.1016/j.tics.2013.06.004 . ISSN   1364-6613. PMID   23932069.
  24. 1 2 3 4 Lingnau, A; Downing, PE (May 2015). "The lateral occipitotemporal cortex in action". Trends in Cognitive Sciences. 19 (5): 268–77. doi:10.1016/j.tics.2015.03.006. PMID   25843544. S2CID   31542026.
  25. ↑ Caramazza, Alfonso; Anzellotti, Stefano; Strnad, Lukas; Lingnau, Angelika (2014-07-08). "Embodied Cognition and Mirror Neurons: A Critical Assessment". Annual Review of Neuroscience. 37 (1): 1–15. doi: 10.1146/annurev-neuro-071013-013950 . ISSN   0147-006X. PMID   25032490.
  26. 1 2 Hickok, Gregory (July 2009). "Eight Problems for the Mirror Neuron Theory of Action Understanding in Monkeys and Humans". Journal of Cognitive Neuroscience. 21 (7): 1229–1243. doi:10.1162/jocn.2009.21189. PMC   2773693 . PMID   19199415.[ needs update ]
  27. 1 2 3 Graziano, MS; Aflalo, TN (25 October 2007). "Mapping behavioral repertoire onto the cortex". Neuron. 56 (2): 239–51. doi: 10.1016/j.neuron.2007.09.013 . PMID   17964243. Open Access logo PLoS transparent.svg [ needs update ]
  28. ↑ Graziano, Michael S.A. (2016-02-01). "Ethological Action Maps: A Paradigm Shift for the Motor Cortex". Trends in Cognitive Sciences. 20 (2): 121–132. doi:10.1016/j.tics.2015.10.008. ISSN   1364-6613. PMID   26628112. S2CID   3613748.
  29. 1 2 Nishitani, N; Schürmann, M; Amunts, K; Hari, R (February 2005). "Broca's region: from action to language". Physiology. 20: 60–9. doi:10.1152/physiol.00043.2004. PMID   15653841. Open Access logo PLoS transparent.svg [ needs update ]
  30. 1 2 3 Parkinson, Carolyn; Wheatley, Thalia (2015-03-01). "The repurposed social brain". Trends in Cognitive Sciences. 19 (3): 133–141. doi:10.1016/j.tics.2015.01.003. ISSN   1879-307X. PMID   25732617. S2CID   13309845.
  31. 1 2 3 Downing, PE; Peelen, MV (2011). "The role of occipitotemporal body-selective regions in person perception". Cognitive Neuroscience. 2 (3–4): 186–203. doi:10.1080/17588928.2011.582945. PMID   24168534. S2CID   20061260.
  32. 1 2 3 4 5 6 Amft, Maren; Bzdok, Danilo; Laird, Angela R.; Fox, Peter T.; Schilbach, Leonhard; Eickhoff, Simon B. (2014-01-08). "Definition and characterization of an extended social-affective default network". Brain Structure and Function. 220 (2): 1031–1049. doi:10.1007/s00429-013-0698-0. ISSN   1863-2653. PMC   4087104 . PMID   24399179.
  33. 1 2 3 4 Van Overwalle, Frank; Baetens, Kris (2009-11-15). "Understanding others' actions and goals by mirror and mentalizing systems: A meta-analysis". NeuroImage. 48 (3): 564–584. doi:10.1016/j.neuroimage.2009.06.009. ISSN   1053-8119. PMID   19524046. S2CID   16645242.
  34. 1 2 3 4 Li, Wanqing; Mai, Xiaoqin; Liu, Chao (2014). "The default mode network and social understanding of others: what do brain connectivity studies tell us". Frontiers in Human Neuroscience. 8: 74. doi: 10.3389/fnhum.2014.00074 . ISSN   1662-5161. PMC   3932552 . PMID   24605094.
  35. 1 2 3 4 5 6 7 Schurz, Matthias; Radua, Joaquim; Aichhorn, Markus; Richlan, Fabio; Perner, Josef (2014-05-01). "Fractionating theory of mind: A meta-analysis of functional brain imaging studies". Neuroscience & Biobehavioral Reviews. 42: 9–34. doi: 10.1016/j.neubiorev.2014.01.009 . ISSN   0149-7634. PMID   24486722.
  36. 1 2 Andrews-Hanna, Jessica R. (2011-06-15). "The Brain's Default Network and Its Adaptive Role in Internal Mentation". The Neuroscientist. 18 (3): 251–270. doi:10.1177/1073858411403316. ISSN   1073-8584. PMC   3553600 . PMID   21677128.
  37. ↑ Andrews-Hanna, Jessica R.; Smallwood, Jonathan; Spreng, R. Nathan (2014-02-06). "The default network and self-generated thought: component processes, dynamic control, and clinical relevance". Annals of the New York Academy of Sciences. 1316 (1): 29–52. Bibcode:2014NYASA1316...29A. doi:10.1111/nyas.12360. ISSN   0077-8923. PMC   4039623 . PMID   24502540.
  38. 1 2 3 4 Fox, Kieran C.R.; Foster, Brett L.; Kucyi, Aaron; Daitch, Amy L.; Parvizi, Josef (2018-04-01). "Intracranial Electrophysiology of the Human Default Network". Trends in Cognitive Sciences. 22 (4): 307–324. doi:10.1016/j.tics.2018.02.002. ISSN   1364-6613. PMC   5957519 . PMID   29525387.
  39. ↑ Buckner, Randy L. (2012-08-15). "The serendipitous discovery of the brain's default network". NeuroImage. 62 (2): 1137–1145. doi:10.1016/j.neuroimage.2011.10.035. ISSN   1053-8119. PMID   22037421. S2CID   9880586.
  40. 1 2 3 Mars, Rogier B.; Neubert, Franz-Xaver; Noonan, MaryAnn P.; Sallet, Jerome; Toni, Ivan; Rushworth, Matthew F. S. (2012). "On the relationship between the "default mode network" and the "social brain"". Frontiers in Human Neuroscience. 6: 189. doi: 10.3389/fnhum.2012.00189 . ISSN   1662-5161. PMC   3380415 . PMID   22737119.
  41. 1 2 3 Spreng, R. Nathan; Mar, Raymond A.; Kim, Alice S. N. (March 2009). "The Common Neural Basis of Autobiographical Memory, Prospection, Navigation, Theory of Mind, and the Default Mode: A Quantitative Meta-analysis". Journal of Cognitive Neuroscience. 21 (3): 489–510. CiteSeerX   10.1.1.454.7288 . doi:10.1162/jocn.2008.21029. ISSN   0898-929X. PMID   18510452. S2CID   2069491.
  42. ↑ Andrews-Hanna, Jessica R.; Saxe, Rebecca; Yarkoni, Tal (2014-05-01). "Contributions of episodic retrieval and mentalizing to autobiographical thought: Evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses". NeuroImage. 91: 324–335. doi:10.1016/j.neuroimage.2014.01.032. hdl:1721.1/112318. ISSN   1053-8119. PMC   4001766 . PMID   24486981.
  43. 1 2 Adolphs, Ralph; Spunt, Robert P. (September 2017). "A new look at domain specificity: insights from social neuroscience". Nature Reviews Neuroscience. 18 (9): 559–567. doi:10.1038/nrn.2017.76. ISSN   1471-0048. PMID   28680161. S2CID   205503513.
  44. 1 2 Denny, Bryan T.; Kober, Hedy; Wager, Tor D.; Ochsner, Kevin N. (August 2012). "A Meta-analysis of Functional Neuroimaging Studies of Self- and Other Judgments Reveals a Spatial Gradient for Mentalizing in Medial Prefrontal Cortex". Journal of Cognitive Neuroscience. 24 (8): 1742–1752. doi:10.1162/jocn_a_00233. ISSN   0898-929X. PMC   3806720 . PMID   22452556.
  45. ↑ Etkin, Amit; Egner, Tobias; Kalisch, Raffael (2011-02-01). "Emotional processing in anterior cingulate and medial prefrontal cortex". Trends in Cognitive Sciences. 15 (2): 85–93. doi:10.1016/j.tics.2010.11.004. ISSN   1364-6613. PMC   3035157 . PMID   21167765.
  46. ↑ Huntenburg, Julia M.; Bazin, Pierre-Louis; Margulies, Daniel S. (2018-01-01). "Large-Scale Gradients in Human Cortical Organization". Trends in Cognitive Sciences. 22 (1): 21–31. doi: 10.1016/j.tics.2017.11.002 . hdl: 11858/00-001M-0000-002E-88F2-D . ISSN   1364-6613. PMID   29203085.
  47. ↑ Trés, Eduardo Sturzeneker; Brucki, Sonia Maria Dozzi (2014). "Visuospatial processing: A review from basic to current concepts". Dementia & Neuropsychologia. 8 (2): 175–181. doi:10.1590/S1980-57642014DN82000014. ISSN   1980-5764. PMC   5619126 . PMID   29213900.
  48. ↑ Leech, Robert; Sharp, David J. (2013-07-18). "The role of the posterior cingulate cortex in cognition and disease". Brain. 137 (1): 12–32. doi:10.1093/brain/awt162. ISSN   1460-2156. PMC   3891440 . PMID   23869106.
  49. ↑ Krall, S. C.; Rottschy, C.; Oberwelland, E.; Bzdok, D.; Fox, P. T.; Eickhoff, S. B.; Fink, G. R.; Konrad, K. (2014-06-11). "The role of the right temporoparietal junction in attention and social interaction as revealed by ALE meta-analysis". Brain Structure and Function. 220 (2): 587–604. doi:10.1007/s00429-014-0803-z. ISSN   1863-2653. PMC   4791048 . PMID   24915964.
  50. 1 2 3 Carter, R. Mckell; Huettel, Scott A. (2013-07-01). "A nexus model of the temporal–parietal junction". Trends in Cognitive Sciences. 17 (7): 328–336. doi:10.1016/j.tics.2013.05.007. ISSN   1364-6613. PMC   3750983 . PMID   23790322.
  51. ↑ Geng, Joy J.; Vossel, Simone (2013-12-01). "Re-evaluating the role of TPJ in attentional control: Contextual updating?". Neuroscience & Biobehavioral Reviews. 37 (10): 2608–2620. doi:10.1016/j.neubiorev.2013.08.010. ISSN   0149-7634. PMC   3878596 . PMID   23999082.
  52. ↑ Seghier, Mohamed L. (2012-04-30). "The Angular Gyrus". The Neuroscientist. 19 (1): 43–61. doi:10.1177/1073858412440596. ISSN   1073-8584. PMC   4107834 . PMID   22547530.
  53. 1 2 Corbetta, Maurizio; Patel, Gaurav; Shulman, Gordon L. (2008-05-08). "The Reorienting System of the Human Brain: From Environment to Theory of Mind". Neuron. 58 (3): 306–324. doi:10.1016/j.neuron.2008.04.017. PMC   2441869 . PMID   18466742.
  54. ↑ Dricu, Mihai; Frühholz, Sascha (2016-12-01). "Perceiving emotional expressions in others: Activation likelihood estimation meta-analyses of explicit evaluation, passive perception and incidental perception of emotions". Neuroscience & Biobehavioral Reviews. 71: 810–828. doi: 10.1016/j.neubiorev.2016.10.020 . ISSN   0149-7634. PMID   27836460.
  55. 1 2 Lamm, Claus; Rütgen, Markus; Wagner, Isabella C. (2017-06-29). "Imaging empathy and prosocial emotions". Neuroscience Letters. 693: 49–53. doi:10.1016/j.neulet.2017.06.054. ISSN   0304-3940. PMID   28668381. S2CID   301791.
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