journal article·2025-03Open access

Substantial Heritability Underlies Fairness Norm Adaptation Capability and its Neural Basis

Yuening Jin, Dang Zheng, Ruolei Gu, Qingchen Fan, Martin Dietz, Changshuo Wang, Xinying Li, Jie Chen, Yuanyuan Hu, Yuan Zhou

Advanced Science· Volume 12· Issue 9

Abstract

Abstract The present research uncovers the shared genetic underpinnings of fairness norm adaptation capability, its neural correlates, and long‐term mental health outcomes. One hundred and eighty‐six twins are recruited and played as responders in the Ultimatum Game (UG) while undergoing fMRI scanning in their early adulthood (Study‐1) and are measured on depressive symptoms eight years later (Study‐2). With computational modeling, the process of norm adaptation is differentiated from that of fairness valuation in UG. The two processes both have moderate levels of heritability. The anterior insula has a significant phenotypic correlation, whereas the Supplementary Motor Area/Medial Frontal Gyrus (SMA/mSFG) shows both a significant phenotypic correlation and a shared genetic influence with the learning rate, an index for norm adaptation. The dopaminergic DRD2 polymorphisms correlate with both the learning rate and the SMA/mSFG encoding of prediction error, constituting of their common genetic basis. Regional gene expression analysis reveals the high expression of dopamine‐related genes in the SMA/mSFG. Moreover, the learning rate can predict depressive symptom severity eight years later, with the DRD2 polymorphisms constituting their shared genetic basis. This suggests that heritability is a non‐negligible driving force behind norm adaptation, which facilitates the learning of social norms in changing environments and preserves long‐term mental health.
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Research context

OpenAlex topics: Neuroendocrine regulation and behavior · Child and Adolescent Psychosocial and Emotional Development · Neural and Behavioral Psychology Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CAS Key Laboratory of Behavioral Science Institute of Psychology Chinese Academy of Sciences Beijing 100101 China

Department of Psychology University of Chinese Academy of Sciences Beijing 100049 China

Department of Early Childhood Education China National Children's Center Beijing 100035 China

Center of Functionally Integrative Neuroscience Institute of Clinical Medicine Aarhus University Universitetsbyen 3 Aarhus 8000 Denmark

Sino‐Danish Center University of Chinese Academy of Sciences Beijing 100049 China

Brainnetome Center Institute of Automation Chinese Academy of Sciences Beijing 100190 China

CAS Key Laboratory of Mental Health Institute of Psychology Chinese Academy of Sciences Beijing 100101 China

The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital Capital Medical University Beijing China

Funding

National Natural Science Foundation of China · Institute of Psychology, Chinese Academy of Sciences

References (82)

Show source-provided references
1. Boyd R. · 1988
2. 10.1515/978140087329610.1515/9781400873296 ↗
3. 10.1037/a001514110.1037/a0015141 ↗
4. 10.1126/science.113765110.1126/science.1137651 ↗
5. 10.1098/rspb.2021.029310.1098/rspb.2021.0293 ↗
6. 10.1016/j.jebo.2021.08.01810.1016/j.jebo.2021.08.018 ↗
7. 10.3389/fpsyg.2018.0099210.3389/fpsyg.2018.00992 ↗
8. 10.1007/s10519-012-9526-110.1007/s10519-012-9526-1 ↗
9. 10.1038/s41598-022-09253-210.1038/s41598-022-09253-2 ↗
10. 10.1073/pnas.070664210410.1073/pnas.0706642104 ↗
11. 10.1027/1614-0001/a00036610.1027/1614-0001/a000366 ↗
12. 10.1093/scan/nsz03110.1093/scan/nsz031 ↗
13. 10.1523/JNEUROSCI.2906-14.201510.1523/JNEUROSCI.2906-14.2015 ↗
14. 10.1093/scan/nsx09710.1093/scan/nsx097 ↗
15. 10.1523/JNEUROSCI.1642-12.201310.1523/JNEUROSCI.1642-12.2013 ↗
16. 10.1016/j.cub.2015.01.07110.1016/j.cub.2015.01.071 ↗
17. 10.7554/eLife.5326210.7554/eLife.53262 ↗
18. 10.1038/s41380-023-02345-z10.1038/s41380-023-02345-z ↗
19. 10.1016/j.phrs.2023.10704210.1016/j.phrs.2023.107042 ↗
20. 10.1038/s41593-022-01092-810.1038/s41593-022-01092-8 ↗
21. 10.1038/s41386-021-01044-z10.1038/s41386-021-01044-z ↗
22. 10.1073/pnas.070611110410.1073/pnas.0706111104 ↗
23. 10.1126/science.114504410.1126/science.1145044 ↗
24. 10.1038/sj.mp.400035010.1038/sj.mp.4000350 ↗
25. 10.1073/pnas.070710610410.1073/pnas.0707106104 ↗
26. 10.1038/tp.2017.4510.1038/tp.2017.45 ↗
27. 10.1016/j.neuron.2013.08.03010.1016/j.neuron.2013.08.030 ↗
28. 10.1038/npp.2010.16510.1038/npp.2010.165 ↗
29. 10.1073/pnas.100939610710.1073/pnas.1009396107 ↗
30. 10.1126/science.115557710.1126/science.1155577 ↗
31. 10.1016/j.neulet.2008.04.00610.1016/j.neulet.2008.04.006 ↗
32. 10.1073/pnas.111868710910.1073/pnas.1118687109 ↗
33. 10.1007/s00439-007-0443-y10.1007/s00439-007-0443-y ↗
34. 10.1016/j.biopsych.2007.01.01510.1016/j.biopsych.2007.01.015 ↗
35. 10.1016/j.neubiorev.2016.02.02210.1016/j.neubiorev.2016.02.022 ↗
36. 10.1111/j.1471-4159.2012.07739.x10.1111/j.1471-4159.2012.07739.x ↗
37. 10.1371/journal.pone.003672110.1371/journal.pone.0036721 ↗
38. 10.1017/S146114570600743710.1017/S1461145706007437 ↗
39. 10.1016/j.jad.2012.03.04710.1016/j.jad.2012.03.047 ↗
40. 10.1016/j.psyneuen.2010.12.01210.1016/j.psyneuen.2010.12.012 ↗
41. 10.1016/j.bandc.2018.05.00710.1016/j.bandc.2018.05.007 ↗
42. 10.1016/j.tics.2007.09.00210.1016/j.tics.2007.09.002 ↗
43. 10.1038/nn.417110.1038/nn.4171 ↗
44. 10.1017/thg.2012.11510.1017/thg.2012.115 ↗
45. 10.1016/j.neuroimage.2019.07.01010.1016/j.neuroimage.2019.07.010 ↗
46. A. T.Beck R. A.Steer G. K.Brown 1996.
47. 10.1037/abn000074710.1037/abn0000747 ↗
48. 10.1093/bib/3.2.11910.1093/bib/3.2.119 ↗
49. 10.7554/eLife.6138710.7554/eLife.61387 ↗
50. 10.18637/jss.v076.i0110.18637/jss.v076.i01 ↗
51. 10.1007/s11222-016-9696-410.1007/s11222-016-9696-4 ↗
52. 10.1037/0033-2909.86.2.42010.1037/0033-2909.86.2.420 ↗
53. R. R. Core Team 2013.
54. 10.1007/978-1-4612-1694-0_1510.1007/978-1-4612-1694-0_15 ↗
55. Kline R. B. · 2023
56. 10.1177/095679761877996110.1177/0956797618779961 ↗
57. 10.1016/S1053-8119(03)00144-710.1016/S1053-8119(03)00144-7 ↗
58. 10.1007/BF0236116010.1007/BF02361160 ↗
59. 10.1038/nature1140510.1038/nature11405 ↗
60. 10.1016/j.neuroimage.2019.01.01110.1016/j.neuroimage.2019.01.011 ↗
61. 10.1371/journal.pone.013951610.1371/journal.pone.0139516 ↗
62. 10.7554/eLife.7212910.7554/eLife.72129 ↗
63. 10.1101/gr.123930310.1101/gr.1239303 ↗
64. 10.1002/da.1011310.1002/da.10113 ↗
65. 10.1007/s10608-009-9276-410.1007/s10608-009-9276-4 ↗
66. Spielberger C. D. · Interam. J. Psychol. · 1971 · 5
67. 10.1016/j.neuron.2007.09.02010.1016/j.neuron.2007.09.020 ↗
68. 10.1016/j.neubiorev.2018.06.02410.1016/j.neubiorev.2018.06.024 ↗
69. 10.1016/j.neuroimage.2012.04.03710.1016/j.neuroimage.2012.04.037 ↗
70. 10.1098/rstb.2008.016510.1098/rstb.2008.0165 ↗
71. 10.1093/scan/nsr09410.1093/scan/nsr094 ↗
72. 10.1016/j.neubiorev.2014.10.01410.1016/j.neubiorev.2014.10.014 ↗
73. 10.1038/s41598-018-29233-910.1038/s41598-018-29233-9 ↗
74. 10.1038/s41562-023-01548-210.1038/s41562-023-01548-2 ↗
75. 10.1126/science.124741210.1126/science.1247412 ↗
76. 10.1073/pnas.090107710610.1073/pnas.0901077106 ↗
77. 10.1016/j.conb.2012.11.01210.1016/j.conb.2012.11.012 ↗
78. 10.1097/YPG.0b013e32833adccb10.1097/YPG.0b013e32833adccb ↗
79. 10.1017/S003329172300232510.1017/S0033291723002325 ↗
80. 10.1017/S003329172100526210.1017/S0033291721005262 ↗
81. 10.1017/thg.2019.6210.1017/thg.2019.62 ↗
82. 10.1177/0890207022110395710.1177/08902070221103957 ↗