The relationship of neuroticism to individual differences in the dynamics of brain activity during social interactions

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Resumo

Social interactions in the context of cooperation and competition are the most important type of activity of people, determining their well-being and success in life. The neural bases of this activity, as well as the role of personality-related individual differences, are insufficiently studied. In particular, the literature lacks data on the relationship between neuroticism and individual differences in brain activity during cooperative and competitive interactions, and the aim of our work was to fill this gap. fMRI data were recorded during task performance in individual, cooperative, and competitive modes and analyzed using the inter-subject representative similarity analysis. The results indicate that in emotionally instable individuals, social interactions, in both cooperative and competitive contexts, are associated with greater strain, manifested in the activity of social brain, emotion regulation, and attentional centers. This can potentially lead to the accumulation of the effects of social stress and the emergence of symptoms of mental health problems.

Sobre autores

G. Knyazev

Federal State Budgetary Scientific Institution “Scientific Research Institute of Neurosciences and Medicine”

Autor responsável pela correspondência
Email: knyazevgg@neuronm.ru
Rússia, Novosibirsk

A. Savostyanov

Federal State Budgetary Scientific Institution “Scientific Research Institute of Neurosciences and Medicine”; Novosibirsk State University; Federal Research Center Institute of Cytology and Genetics, SB RAS

Email: knyazevgg@neuronm.ru
Rússia, Novosibirsk; Novosibirsk; Novosibirsk

A. Bocharov

Federal State Budgetary Scientific Institution “Scientific Research Institute of Neurosciences and Medicine”; Novosibirsk State University

Email: knyazevgg@neuronm.ru
Rússia, Novosibirsk; Novosibirsk

A. Saprigyn

Federal State Budgetary Scientific Institution “Scientific Research Institute of Neurosciences and Medicine”

Email: knyazevgg@neuronm.ru
Rússia, Novosibirsk

Bibliografia

  1. Князев Г.Г., Митрофанова Л.Г., Бочаров В.А. Валидизация русской версии маркеров факторов большой пятерки из международного пула личностных вопросов Гольдберга. Психологический журнал. 2010. 31:100–110.
  2. Chen P.H.A., Jolly E., Cheong J.H., Chang L.J. Intersubject representational similarity analysis reveals individual variations in affective experience when watching erotic movies. NeuroImage. 2020. 216:116851.
  3. Decety J., Jackson P.L., Sommerville J.A., Chaminade T., Meltzoff A.N. The neural bases of cooperation and competition: an fMRI investigation. Neuroimage. 2004. 23:744–751.
  4. Dimsdale-Zucker H.R., Ranganath C. Representational similarity analyses: a practical guide for functional MRI applications. In Handbook of behavioral neuroscience (Vol. 28, pp. 509–525). 2018. Elsevier.
  5. Dunbar R.I.M. The social brain: mind, language, and society in evolutionary perspective. Annu. Rev. Anthropol. 2003. 32:163–181.
  6. Finn E.S., Glerean E., Khojandi A.Y., Nielson D., Molfese P.J., Handwerker D.A., Bandettini P.A. Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. NeuroImage. 2020. 215:116828.
  7. Goldberg L.R. The development of markers for the Big-Five factor structure. Psychological Assessment. 1992. 4:26–42.
  8. Goldber L.R. The structure of phenotypic personality traits. American psychologist. 1993. 48:26.
  9. Holtmann O., Franz M., Moenig C., Tenberge J.G., Schloßmacher I., Ivanova I., Preul C., Schwindt W., Melzer N., Miltner W.H.R., Straube T. Lateralized deficits in arousal processing after insula lesions: behavioral and autonomic evidence. Cortex. 2022. 148:168–179.
  10. Kim Y., Saunders G.R., Giannelis A., Willoughby E.A., DeYoung C.G., Lee J.J. Genetic and neural bases of the neuroticism general factor. Biol. Psychol. 2023. 184:108692.
  11. Kriegeskorte N., Mur M., Bandettini P. Representational similarity analysis – connecting the branches of systems neuroscience. Front. Syst. Neurosci. 2008. 2:4.
  12. Lahey B.B. Public health significance of neuroticism. American Psychologist. 2009. 64:241.
  13. Lee M., Ahn H. S., Kwon S. K., Kim S. I. Cooperative and competitive contextual effects on social cognitive and empathic neural responses. Frontiers in Human Neuroscience. 2018. 12:218.
  14. Lin J., Li L., Pan N., Liu X., Zhang X., Suo X., Kemp G.J., Wang S., Gong Q. Neural correlates of neuroticism: a coordinate-based meta-analysis of resting-state functional brain imaging studies. Neurosci. Biobehav. Rev. 2023. 146:105055.
  15. McKiernan K.A., D’Angelo B.R., Kaufman J.N., Binder J.R. Interrupting the ‘stream of consciousness’: an fMRI investigation. NeuroImage. 2006. 29:1185–1191.
  16. Oosterhof N.N., Connolly A.C., Haxby J.V. CoSMoMVPA: multi-modal multivariate pattern analysis of neuroimaging data in Matlab/GNU Octave. Frontiers in neuroinformatics. 2016. 10:27.
  17. Polosan M., Baciu M., Cousin E., Perrone M., Pichat C., Bougerol T. An fMRI study of the social competition in healthy subjects. Brain and cognition. 2011. 77: 401–411.
  18. Prince K., Brown S. Neural correlates of partnered interaction as revealed by cross-domain ALE meta-analysis. Psychology & Neuroscience. 2022. 15:1.
  19. Prince J.S., Charest I., Kurzawski J.W., Pyles J.A., Tarr M.J., Kay K.N. Improving the accuracy of single-trial fMRI response estimates using GLMsingle. Elife. 2022. 11:e77599.
  20. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proc. Natl. Acad. Sci. U.S.A. 2001. 98:676–682.
  21. Raichle M.E., Snyder A.Z. A default mode of brain function: a brief history of an evolving idea. Neuroimage. 2007. 37:1083–1090.
  22. Rhoads S.A., Cutler J., Marsh A.A. A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions. Social cognitive and affective neuroscience. 2021. 16:1214–1233.
  23. Singh K.D., Fawcett I.P. Transient and linearly graded deactivation of the human default-mode network by a visual detection task. NeuroImage. 2008. 41:100–112.
  24. Smith S.M., Nichols T.E. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage. 2009. 44:83–98.
  25. Tackett J.L., Lahey B.B. Neuroticism. The Oxford Handbook of the Five Factor Model. Oxford Academic. 2015. 39–56.
  26. Tsoi L., Dungan J., Waytz A., Young L. Distinct neural patterns of social cognition for cooperation versus competition. NeuroImage. 2016. 137:86–96.
  27. van Baar J.M., Chang L.J., Sanfey A.G. The computational and neural substrates of moral strategies in social decision-making. Nature communications. 2019. 10:1483.
  28. Worsley K.J., Marrett S., Neelin P., Vandal A.C., Friston K.J., Evans A.C. A unified statistical approach or determining significant signals in images of cerebral activation. Hum. Brain Mapp. 1996. 4:58–73.

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