The brain's functional network architecture reveals human motives

Science

Volumn 351, Issue 6277, 2016, Pages 1074-1078

  Hein, Grit ^a   Morishima, Yosuke ^a,b,c   Leiberg, Susanne ^a   Sul, Sunhae ^d   Fehr, Ernst ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b UNIVERSITY OF BERN   (Switzerland)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^d Pusan National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURE; BRAIN; COMMUNICATION BEHAVIOR; HUMAN BEHAVIOR; INFORMATION; PREDICTION; RECIPROCITY;

ALTRUISM; ANTERIOR CINGULATE; ANTERIOR INSULA; ARTICLE; BEHAVIOR; BRAIN FUNCTION; BRAIN REGION; EMPATHY; HUMAN; PREDICTION; PRIORITY JOURNAL; VENTRAL STRIATUM; BRAIN CORTEX; CINGULATE GYRUS; FEMALE; MOTIVATION; NERVE CELL NETWORK; PHYSIOLOGY; SOCIAL BEHAVIOR; YOUNG ADULT;

ALTRUISM; CEREBRAL CORTEX; EMPATHY; FEMALE; GYRUS CINGULI; HUMANS; MOTIVATION; NERVE NET; SOCIAL BEHAVIOR; YOUNG ADULT;

EID: 84960193911     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.aac7992     Document Type: Article

References (32)

1. P. A. Samuelson, Economica 15, 243-253 (1948).
2. P. W. Glimcher, A. Rustichini, Science 306, 447-452 (2004).
3. A. Rangel, C. Camerer, P. R. Montague, Natl. Rev. 9, 545-556 (2008).
4. E. Fehr, A. Rangel, J. Econ. Perspect. 25, 3-30 (2011).
5. K. Lewin, Field Theory in Social Science (Harper, New York, 1951).
6. R. B. Zajonc, Am. Psychol. 35, 151-175 (1980).
7. R. E. Nisbett, T. D. Wilson, Psychol. Rev. 84, 231-259 (1977).
8. C. D. Batson, The Altruism Question: Toward a Social- Psychological Answer (Erlbaum, Hillsdale, NJ, 1991).
9. E. Fehr, U. Fischbacher, Nature 425, 785-791 (2003).
10. J.Moll et al., Proc. Natl. Acad. Sci. U.S.A. 103, 15623-15628 (2006).
11. W. T. Harbaugh, U. Mayr, D. R. Burghart, Science 316, 1622-1625 (2007).
12. Y. Morishima, D. Schunk, A. Bruhin, C. C. Ruff, E. Fehr, Neuron 75, 73-79 (2012).
13. M. Rabin, Am. Econ. Rev. 83, 1281-1302 (1993).
14. A. Falk, U. Fischbacher, Games Econ. Behav. 54, 293-315 (2006).
15. K. J. Friston, L. Harrison, W. Penny, Neuroimage 19, 1273-1302 (2003).
16. K. E. Stephan et al., Neuroimage 42, 649-662 (2008).
17. K. H. Brodersen et al., PLOS Comput. Biol. 7, e1002079 (2011).
18. T. Singer et al., Science 303, 1157-1162 (2004).
19. G. Hein, G. Silani, K. Preuschoff, C. D. Batson, T. Singer, Neuron 68, 149-160 (2010).
20. R. A. Emmons, M. E. McCullough, The Psychology of Gratitude (Oxford Univ. Press, 2004).
21. Methods and materials, supplementary analyses, supplementary figures, and supplementary tables are available as supporting material on Science Online.
22. D. Tomlin et al., Science 312, 1047-1050 (2006).
23. J. K. Rilling et al., Neuropsychologia 46, 1256-1266 (2008).
24. K. L. Phan, C. S. Sripada, M. Angstadt, K. McCabe, Proc. Natl. Acad. Sci. U.S.A. 107, 13099-13104 (2010).
25. C. Lamm, J. Decety, T. Singer, Neuroimage 54, 2492-2502 (2011).
26. S. N. Haber, B. Knutson, Neuropsychopharmacol 35, 4-26 (2010).
27. A. Parent, L. N. Hazrati, Brain Res. Brain Res. Rev. 20, 91-127 (1995).
28. J. A. Hoeting, D. Madigan, A. E. Raftery, C. T. Volinsky, Stat. Sci. 14, 382 (1999).
29. If we use both the number of altruistic decisions in the baseline condition and the increase in the frequency of altruistic decisions in the motive-induction conditions, the behavioral classification becomes marginally significant (classification accuracy of 64.2%, P = 0.051). However, if we perform the same classification analysis with connectivity data-i.e., in addition to the Δ-DCM parameters we also use the level of the DCM parameters in the baseline condition for classification purposes-the classification accuracy increases even to 83%, P = 0.00004. Thus, the classification based on brain connectivity data clearly outperforms the behavior-based classification (see also supplementary materials).
30. K. E. Stephan, W. D. Penny, J. Daunizeau, R. J. Moran, K. J. Friston, Neuroimage 46, 1004-1017 (2009).
31. M. R. Delgado, R. H. Frank, E. A. Phelps, Nat. Neurosci. 8, 1611-1618 (2005).
32. A. Tusche, T. Kahnt, D. Wisniewski, J. D. Haynes, Neuroimage 72, 174-182 (2013).