The aim of the present work was to study brain activity using fMRI data during assessment of the self and other people. Subjects were presented with adjectives describing positive, neutral, or negative characteristics and were asked to assess the extent to which these characteristics applied to the subject him- or herself, or to a friend, a stranger, or an unpleasant person. The main effect of the Object of assessment factor was apparent in the right upper parietal lobe, which is part of the default network of the brain and overlaps with the temporoparietal junction area. Activation in this area was maximal on self-evaluation. The main effect of the Type of adjective factor was also seen in structures in the posterior center of the default network. As these areas are involved in constructing perspectives from the point of view of other people, it can be suggested that the “I” is perceived in continuous relation to the social environment and is assessed in terms of the presumed views of other people.
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Abu-Akel, A. and Shamay-Tsoory, S., “Neuroanatomical and neurochemical bases of theory of mind,” Neuropsychologia, 49, 2971–2984 (2011).
Beer, J. S., and Ochsner, K. N., “Social cognition: a multi level analysis,” Brain Res., 1079, No. 1, 98–105 (2006).
Blakemore, S. J., Wolpert, D. E., and Frith, C. D., “Abnormalities in the awareness of action,” Trends Cogn. Sci., 6, 237–242 (2002).
Buckner, R. L., Andrews-Hanna, J. R., and Schacter, D. L., “The brain’s default network: anatomy, function, and relevance to disease,” Ann. N.Y. Acad. Sci., 1124, 1–38 (2008).
Buss, D. M., The Handbook of Evolutionary Psychology, J. Wiley & Sons (2005).
Cook, J. L., “Task-relevance dependent gradients in medial prefrontal and temporoparietal cortices suggest solutions to paradoxes concerning self/other control,” Neurosci. Biobehav. Rev., 42, 298–302 (2014).
Decety, J. and Cowell, J. M., “Developmental social neuroscience,” in: Developmental Psychopathology, Cicchetti, D. (ed.) (2016), doi: https://doi.org/10.1002/9781119125556.devpsy220.
Decety, J. and Lamm, C., “The role of the right temporoparietal junction in social interaction: how low-level computational processes contribute to meta-cognition,” Neuroscientist, 13, No. 6, 580–593 (2007).
Denny, B. T., Kober, H., Wager, T. D., and Ochsner, K. N., “A meta-analysis of functional neuroimaging studies of self and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex,” J. Cogn. Neurosci., 24, 1742–1752 (2012).
Dunbar, R. I., “The social brain hypothesis,” Evol. Anthropol., 6, No. 5, 178–190 (1998).
Dunbar, R. I. and Shultz, S., “Evolution in the social brain,” Science, 317, No. 5843, 1344–1347 (2007).
Dunbar, R. I. and Shultz, S., “Why are there so many explanations for primate brain evolution?” Phil. Trans. R. Soc. B., 372 (2017).
Falk, E. and Scholz, C., “Persuasion, Influence, and Value: Perspectives from Communication and Social Neuroscience,” Ann. Rev. Psychol., 69, 329–356 (2018).
Fan, Y., Duncan, N. W., de Greck, M., and Northoff, G., “Is there a core neural network in empathy? An fMRI based quantitative meta-analysis,” Neurosci. Biobehav. Rev., 35, No. 3, 903–911 (2011).
Greene, J. D., Sommerville, R. B., Nystrom, L. E., et al., “An fMRI investigation of emotional engagement in moral judgment,” Science, 293, 2105–21 (2001).
Henson, R., “Analysis of fMRI timeseries: Linear time-invariant models, event-related fMRI and optimal experimental design,” in: Human Brain Function, Frackowiak, R. S. J. et al. (eds.), Elsevier, London, pp. 793–98.
Kappeler, P. M., Clutton-Brock, T., Shultz, S., and Lukas, D., “Social complexity: patterns, processes, and evolution,” Behav. Ecol. Sociobiol., 73, 5 (2019).
Li, W., Mai, X., and Liu, C., “The default mode network and social understanding of others: what do brain connectivity studies tell us,” Front. Hum. Neurosci., 8, 74 (2014).
Mars, R. B., Neubert, F. X., Noonan, M. P., et al., “On the relationship between the ‘default mode network’ and the ‘social brain’,” Front. Hum. Neurosci., 6, 189 (2012).
McHugh, L. and Stewart, I., The Self and Perspective Taking: Contributions and Applications from Modern Behavioral Science, New Harbinger Publications (2012).
Saxe, R., “Uniquely human social cognition,” Curr. Opin. Neurobiol., 16, No. 2, 235–239 (2006).
Mitchell, J. P., “Mentalizing and Marr: an information processing approach to the study of social cognition,” Brain Res., 1079, 66–75 (2006).
Morin, A. and Michaud, J., “Self-awareness and the left inferior frontal gyrus: Inner speech use during self-related processing,” Brain Res. Bull., 74, 387–396 (2007).
Nicolle, A., Klein-Flügge, M. C., Hunt, L. T., et al., “An agent independent axis for executed and modeled choice in medial prefrontal cortex,” Neuron, 75, 1114–1121 (2012).
Northoff, G., Heinzel, A., de Greck, M., et al., “Self-referential processing in our brain -A meta-analysis of imaging studies on the self,” NeuroImage, 31, 440–457 (2006).
Patrick, C. J., “Psychophysiological correlates of aggression and violence: an integrative review,” Phil. Trans. R. Soc. B. Biol. Sci., 363, No. 1503, 2543–2555 (2008).
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., et al., “A default mode of brain function,” Proc. Natl. Acad. Sci. USA, 98, No. 2, 676–682 (2001).
Qin, P. and Northoff, G., “How is our self related to midline regions and the default-mode network?” Neuroimage, 57, No. 3, 1221–1233 (2011).
van der Meer, L., Costafreda, S., Aleman, A., and David, A. S., “Self-reflection and the brain: A theoretical review and meta-analysis of neuroimaging studies with implications for schizophrenia,” Neurosci. Biobehav. Rev., 34, 935–946 (2010).
Vanderwal, T., Hunyadi, E., Grupe, D. W., et al., “Self, Mother and Abstract Other: an fMRI study of reflective social processing,” Neuroimage, 41, 1437–1446 (2008).
Van Overwalle, F. and Baetens, K., “Understanding others’ actions and goals by mirror and mentalizing systems: a meta-analysis,” Neuroimage, 48, No. 3, 564–584 (2009).
Zaitchik, D., Walker, C., Miller, S., et al., “Mental state attribution and the temporoparietal junction: an fMRI study comparing belief, emotion, and perception,” Neuropsychologia, 48, No. 9, 2528–2536 (2010).
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Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 70, No. 1, pp. 31–39, January–February, 2020.
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Knyazev, G.G., Bocharov, A.V., Savostyanov, A.N. et al. Analysis of Brain Activity Using fMRI Data for Affective Evaluation of the Self and Others. Neurosci Behav Physi 50, 868–873 (2020). https://doi.org/10.1007/s11055-020-00979-y
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DOI: https://doi.org/10.1007/s11055-020-00979-y