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Personality beyond taxonomy

Abstract

Human and animal behaviour exhibits complex but regular patterns over time, often referred to as expressions of personality. Yet it remains unclear what personality really is: is it just the behavioural patterns themselves, something in the brain, in the genes or perhaps all of these? Here we offer a set of causal hypotheses about the role of personality, integrating psychological and neuroscientific approaches to personality in a testable framework. These hypotheses clarify the causal and constitutive relations that personality has with genes, environment, brain, mind and behaviour, and we suggest specific experiments that can adjudicate amongst the different hypotheses. We focus on a set of models that propose that personality is instantiated in the brain, distally caused by genes and environment and, in turn, causing the overt behaviours from which it is often inferred. We argue that articulating and testing such models will be essential in a mature science of personality.

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Fig. 1: Causal models of personality.
Fig. 2: Challenges for personality neuroscience.
Fig. 3: Causal feature learning (CFL).

References

  1. 1.

    Feist, J. & Feist, G.J. Theories of Personality (McGraw-Hill Education, 2008).

  2. 2.

    Eysenck, H.J. Biological dimensions of personality. in Handbook of Personality: Theory and Research (ed. Pervin, L. A.) 244–276 (Guilford Press, 1990).

  3. 3.

    Borgatta, E. F. The structure of personality characteristics. Behav. Sci. 61, 8–17 (1964).

    CAS  Google Scholar 

  4. 4.

    Fiske, D. W. Consistency of the factorial structures of personality ratings from different sour sources. J. Abnorm. Psychol. 44, 329–344 (1949).

    CAS  Google Scholar 

  5. 5.

    Norman, W. T. Toward an adequate taxonomy of personality attributes: replicated factors structure in peer nomination personality ratings. J. Abnorm. Soc. Psychol. 66, 574–583 (1963).

    CAS  Google Scholar 

  6. 6.

    Smith, G. M. Usefulness of peer ratings of personality in educational research. Educ. Psychol. Meas. 27, 967–984 (1967).

    Google Scholar 

  7. 7.

    Tupes, E.C. & Christal, R.E. Recurrent personality factors based on trait ratings. Technical Report ASD-TR-61-97 http://www.dtic.mil/dtic/tr/fulltext/u2/267778.pdf (USAF, 1961).

  8. 8.

    Goldberg, L. R. Language and individual differences: The search for universals in personality lexicons. Rev. Pers. Soc. Psychol. 2, 141–165 (1981).

    Google Scholar 

  9. 9.

    McCrae, R. R. & John, O. P. An introduction to the five-factor model and its applications. J. Pers. 60, 175–215 (1992).

    CAS  Google Scholar 

  10. 10.

    DeYoung, C. G., Quilty, L. C. & Peterson, J. B. Between facets and domains: 10 aspects of the Big Five. J. Pers. Soc. Psychol. 93, 880–896 (2007).

    Google Scholar 

  11. 11.

    Cattell, R. B. The description of personality: principles and findings in a factor analysis. Am. J. Psychol. 58, 69–90 (1945).

    Google Scholar 

  12. 12.

    Costa, P. T. & McCrae, R. R. Six approaches to the explication of facet-level traits: examples from conscientiousness. Eur. J. Pers. 12, 117–134 (1998).

    Google Scholar 

  13. 13.

    Mõttus, R., Kandler, C., Bleidorn, W., Riemann, R. & McCrae, R. R. Personality traits below facets: The consensual validity, longitudinal stability, heritability, and utility of personality nuances. J. Pers. Soc. Psychol. 112, 474–490 (2017).

    Google Scholar 

  14. 14.

    Forkosh, O. et al. Identity domains capture individual differences from across the behavioral repertoire. Nat. Neurosci. 22, 2023–2028 (2019).

    CAS  Google Scholar 

  15. 15.

    Baumert, A. et al. Integrating personality structure, personality process, and personality development. Eur. J. Pers. 31, 503–528 (2017).

    Google Scholar 

  16. 16.

    Eysenck, H. J. Personality and experimental psychology: the unification of psychology and the possibility of a paradigm. J. Pers. Soc. Psychol. 73, 1224–1237 (1997).

    Google Scholar 

  17. 17.

    Shalizi, C. R. & Crutchfield, J. P. Information bottlenecks, causal states, and statistical relevance bases: how to represent relevant information in memoryless transduction. Adv. Complex Syst. 5, 91–95 (2002).

    Google Scholar 

  18. 18.

    Woodward, J. Making Things Happen: A Theory of Causal Explanation (Oxford Univ. Press, 2005).

  19. 19.

    Gescher, D. M. et al. Epigenetics in personality disorders: today’s insights. Front. Psychiatry 9, 579 (2018).

    Google Scholar 

  20. 20.

    DeYoung, C. G. Cybernetic big five theory. J Res Pers 56, 33–58 (2015).

    Google Scholar 

  21. 21.

    Spearman, C. “General intelligence,” objectively determined and measured. Am. J. Psychol. 15, 201–293 (1904).

    Google Scholar 

  22. 22.

    Shalizi, C. Review: the domestication of the savage mind. Am. Sci. 97, 244–247 (2009).

    Google Scholar 

  23. 23.

    McNaughton, N. & Smillie, L. D. Some metatheoretical principles for personality neuroscience. Personal Neurosci. 1, e11 (2018).

    Google Scholar 

  24. 24.

    Parks, L. & Guay, R. P. Personality, values, and motivation. Pers. Individ. Dif. 47, 675–684 (2009).

    Google Scholar 

  25. 25.

    Reisenzein, R. & Weber, H. Personality and emotion. in The Cambridge Handbook of Personality Psychology (eds Corr, P.J. & Matthews, G.) 54–71 (Cambridge Univ. Press, 2009).

  26. 26.

    Prabhakaran, R., Kraemer, D. J. M. & Thompson-Schill, S. L. Approach, avoidance, and inhibition: personality traits predict cognitive control abilities. Pers. Individ. Dif. 51, 439–444 (2011).

    Google Scholar 

  27. 27.

    Gray, J. R. & Burgess, G. C. Personality differences in cognitive control? BAS, processing efficiency, and the prefrontal cortex. J. Res. Pers. 38, 35–36 (2004).

    Google Scholar 

  28. 28.

    Tamir, D. I. & Thornton, M. A. Modeling the predictive social mind. Trends Cogn. Sci. 22, 201–212 (2018).

    Google Scholar 

  29. 29.

    Vallacher, R. R. & Wegner, D. M. What do people think they’re doing? Action identification and human behavior. Psychol. Rev. 94, 3–15 (1987).

    Google Scholar 

  30. 30.

    Roberts, B. W. et al. A systematic review of personality trait change through intervention. Psychol. Bull. 143, 117–141 (2017).

    Google Scholar 

  31. 31.

    Damasio, H., Grabowski, T., Frank, R., Galaburda, A. M. & Damasio, A. R. The return of Phineas Gage: clues about the brain from the skull of a famous patient. Science 264, 1102–1105 (1994).

    CAS  Google Scholar 

  32. 32.

    MacMillan, M. An Odd Kind of Fame: Stories of Phineas Gage (MIT Press, 2000).

  33. 33.

    Blumer, D. & Benson, D.F. Personality changes with frontal and temporal lobe lesions. in Psychiatric Aspects of Neurologic Disease 151–170 (Grune & Stratton, 1975).

  34. 34.

    Eslinger, P. J. & Damasio, A. R. Severe disturbance of higher cognition after bilateral frontal lobe ablation: patient EVR. Neurology 35, 1731–1741 (1985).

    CAS  Google Scholar 

  35. 35.

    Barrash, J. et al. “Frontal lobe syndrome”? Subtypes of acquired personality disturbances in patients with focal brain damage. Cortex 106, 65–80 (2018).

    Google Scholar 

  36. 36.

    Caramazza, A. On drawing inferences about the structure of normal cognitive systems from the analysis of patterns of impaired performance: the case for single-patient studies. Brain Cogn. 5, 41–66 (1986).

    CAS  Google Scholar 

  37. 37.

    Coltheart, M. Lessons from cognitive neuropsychology for cognitive science: a reply to Patterson and Plaut (2009). Top. Cogn. Sci. 2, 3–11 (2010).

    Google Scholar 

  38. 38.

    Arden, R. Cognitive abilities in other animals: An introduction to this special issue. Intelligence 74, 1–2 (2019).

    Google Scholar 

  39. 39.

    Vazire, S., Gosling, S.D., Dickey, A.S. & Schapiro, S.J. Measuring personality in nonhuman animals. in Handbook of Research Methods in Personality Psychology (ed. Robins, R. W.) 190–206 (The Guilford Press, 2007).

  40. 40.

    Bennett, P. C., Rutter, N. J., Woodhead, J. K. & Howell, T. J. Assessment of domestic cat personality, as perceived by 416 owners, suggests six dimensions. Behav. Processes 141, 273–283 (2017).

    Google Scholar 

  41. 41.

    Gosling, S. D., Kwan, V. S. Y. & John, O. P. A dog’s got personality: a cross-species comparative approach to personality judgments in dogs and humans. J. Pers. Soc. Psychol. 85, 1161–1169 (2003).

    Google Scholar 

  42. 42.

    Dankert, H., Wang, L., Hoopfer, E. D., Anderson, D. J. & Perona, P. Automated monitoring and analysis of social behavior in Drosophila. Nat. Methods 6, 297–303 (2009).

    CAS  Google Scholar 

  43. 43.

    Berman, G. J., Choi, D. M., Bialek, W. & Shaevitz, J. W. Mapping the stereotyped behaviour of freely moving fruit flies. J. R. Soc. Interface 11, 20140672 (2014).

    Google Scholar 

  44. 44.

    Robie, A. A. et al. Mapping the neural substrates of behavior. Cell 170, 393–406.e28 (2017).

    CAS  Google Scholar 

  45. 45.

    Jhuang, H. et al. Automated home-cage behavioural phenotyping of mice. Nat. Commun. 1, 68 (2010).

    Google Scholar 

  46. 46.

    Reiter, S. et al. Elucidating the control and development of skin patterning in cuttlefish. Nature 562, 361–366 (2018).

    CAS  Google Scholar 

  47. 47.

    Gosling, S. D. From mice to men: what can we learn about personality from animal research? Psychol. Bull. 127, 45–86 (2001).

    CAS  Google Scholar 

  48. 48.

    Datta, S. R., Anderson, D. J., Branson, K., Perona, P. & Leifer, A. Computational neuroethology: a call to action. Neuron 104, 11–24 (2019).

    CAS  Google Scholar 

  49. 49.

    Anderson, D. J. & Perona, P. Toward a science of computational ethology. Neuron 84, 18–31 (2014).

    CAS  Google Scholar 

  50. 50.

    Costa, P.T. & McCrae, R.R. NEO Five-Factor Inventory (NEO-FFI). http://highriskdepression.org/forms/NEO%20Five%20Factor%20Personality%20Inventory.pdf (Psychological Assessment Resources, 1989).

  51. 51.

    Dubois, J., Galdi, P., Han, Y., Paul, L. K. & Adolphs, R. Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Personal Neurosci. 1, 1–21 (2018).

    Google Scholar 

  52. 52.

    Depue, R. A. & Iacono, W. G. Neurobehavioral aspects of affective disorders. Annu. Rev. Psychol. 40, 457–492 (1989).

    CAS  Google Scholar 

  53. 53.

    O’Connor, L.E., Berry, J.W., Lewis, T., Rangan, R.K. & Poursohrab, N. Personality, Psychopathology, and the Neurotransmitter Attributes Questionnaire (NAQ). SAGE Open https://doi.org/10.1177/2158244013492540 (2013).

  54. 54.

    Yarkoni, T. Neurobiological substrates of personality: a critical overview. in APA Handbook of Personality and Social Psychology, Volume 4: Personality Processes and Individual Differences (eds Mikulincer, M., Shaver, P.R., Cooper, M.L. & Larsen, R.J.) 61–83 (American Psychological Association, 2015).

  55. 55.

    Poldrack, R. A. et al. Discovering relations between mind, brain, and mental disorders using topic mapping. PLOS Comput. Biol. 8, e1002707 (2012).

    CAS  Google Scholar 

  56. 56.

    Varoquaux, G. et al. Atlases of cognition with large-scale human brain mapping. PLOS Comput. Biol. 14, e1006565 (2018).

    Google Scholar 

  57. 57.

    Eisenberg, I. W. et al. Uncovering the structure of self-regulation through data-driven ontology discovery. Nat. Commun. 10, 2319 (2019).

    Google Scholar 

  58. 58.

    Chalupka, K., Eberhardt, F. & Perona, P. Causal feature learning: an overview. Behaviormetrika 44, 137–164 (2017).

    Google Scholar 

  59. 59.

    Chalupka, K., Bischoff, T., Perona, P. & Eberhardt, F. Unsupervised discovery of El Nino using causal feature learning on microlevel climate data. in UAI ‘16: Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence 72–81 (AUAI Press, 2016).

  60. 60.

    Mathis, A. et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21, 1281–1289 (2018).

    CAS  Google Scholar 

  61. 61.

    Ozer, D. J. & Benet-Martínez, V. Personality and the prediction of consequential outcomes. Annu. Rev. Psychol. 57, 401–421 (2006).

    Google Scholar 

  62. 62.

    Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A. & Goldberg, L. R. The Power of personality: the comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspect. Psychol. Sci. 2, 313–345 (2007).

    Google Scholar 

  63. 63.

    Ahmad, N. & Siddique, J. Personality assessment using Twitter tweets. Procedia Comput. Sci. 112, 1964–1973 (2017).

    Google Scholar 

  64. 64.

    Silveira Jacques, J.C. Junior. et al. First impressions: a survey on vision-based apparent personality trait analysis. IEEE Trans. Affect. Comput. https://doi.org/10.1109/TAFFC.2019.2930058 (2019).

  65. 65.

    Allen, T.A. & DeYoung, C.G. Personality neuroscience and the five factor model. in The Oxford Handbook of the Five Factor Model (ed. Widiger, T.A.) (Oxford Univ. Press, 2017).

  66. 66.

    Deyoung, C.G. & Gray, J.R. Personality neuroscience: explaining individual differences in affect, behaviour and cognition. in The Cambridge Handbook of Personality Psychology (eds Corr, P.J. & Matthews, G.) 323–346 (Cambridge Univ. Press, 2009).

  67. 67.

    Allport, G. W. What is a trait of personality? J. Abnorm. Soc. Psychol. 25, 368–372 (1931).

    Google Scholar 

  68. 68.

    Gosling, S. D. & Vazire, S. Are we barking up the right tree? Evaluating a comparative approach to personality. J. Res. Pers. 36, 607–614 (2002).

    Google Scholar 

  69. 69.

    Gerlach, M., Farb, B., Revelle, W. & Nunes Amaral, L. A. A robust data-driven approach identifies four personality types across four large data sets. Nat. Hum. Behav. 2, 735–742 (2018).

    Google Scholar 

  70. 70.

    Millon, T. What is a personality disorder? J. Pers. Disord. 30, 289–306 (2016).

    Google Scholar 

  71. 71.

    Gosling, S. D. Personality in non-human animals. Soc. Personal. Psychol. Compass 2, 985–1001 (2008).

    Google Scholar 

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Acknowledgements

We are grateful for feedback on this paper from the members of our laboratory and from T. Yarkoni, S. Vazire, W. Revelle and C. DeYoung. The authors are supported in part by NSF grants BCS-1840756 and BCS-1845958.

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Correspondence to Julien Dubois or Ralph Adolphs.

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Dubois, J., Eberhardt, F., Paul, L.K. et al. Personality beyond taxonomy. Nat Hum Behav 4, 1110–1117 (2020). https://doi.org/10.1038/s41562-020-00989-3

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