Abstract
Different single personality traits have been found to be closely related to well-being, and single personality traits and well-being shared multiple neural substrates. Yet little is known about how the multi-trait profile, which better reflects individual differences in terms of taxonomy, is related to multi-faceted well-being, and whether the spontaneous brain activities of their common neural substrates can partially explain this relationship. To advance our understanding, we examined the relationships among personality traits, well-being, and brain functional connectivity generated in resting-state functional MRI among 729 healthy participants. We first identified a linear combination of personal traits (i.e., higher extraversion, conscientiousness, and agreeableness, but lower neuroticism) that was most relevant to a set of well-being indicators (i.e., positive affect, life satisfaction, and meaning of purpose) by considering their canonical correlational relation. Next, by using the network-based statistic method, we identified the sub-network associated with the well-being canonical variate. The subnetwork was formed by functional connectivity within and between multiple brain networks spanning from primary sensory networks to high-order networks. Moreover, the mediation analyses showed that the relationship between personality trait variate and well-being variate was explained by higher positive functional connectivity and higher global network efficiency within the identified sub-network. These findings suggest that effective functional communication within and between multiple brain networks can be a potentially important mechanism for promoting better well-being.
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Data Availability
The HCP dataset used in this study is publicly available in the database of Human Connectome Project (Van Essen et al., 2013): https://db.humanconnectome.org/data/projects/HCP_1200.
References
Adelstein, J. S., Shehzad, Z., Mennes, M., DeYoung, C. G., Zuo, X.-N., Kelly, C., & Milham, M. P. (2011). Personality is reflected in the brain’s intrinsic functional architecture. PLoS ONE, 6(11), e27633. https://doi.org/10.1371/journal.pone.0027633
Aghajani, M., Veer, I. M., van Tol, M.-J., Aleman, A., van Buchem, M. A., Veltman, D. J., & van der Wee, N. J. (2014). Neuroticism and extraversion are associated with amygdala resting-state functional connectivity. Cognitive, Affective, & Behavioral Neuroscience, 14(2), 836–848. https://doi.org/10.3758/s13415-013-0224-0
Albrecht, T. L., Burleson, B. R. & Sarason, I. (1992). Meaning and Method in the Study of Communication and Social Support: An Introduction. Communication Research, 19(2), 149–153. https://doi.org/10.1177/009365092019002001
Allison, T., Puce, A., & McCarthy, G. (2000). Social perception from visual cues: Role of the STS region. Trends in Cognitive Sciences, 4(7), 267–278. https://doi.org/10.1016/s1364-6613(00)01501-1
Andò, A., Vasilotta, M. L., & Zennaro, A. (2021). The modulation of emotional awareness using non-invasive brain stimulation techniques: A literature review on TMS and tDCS. Journal of Cognitive Psychology, 33(8), 993–1010. https://doi.org/10.1080/20445911.2021.1954013
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010). Functional-anatomic fractionation of the brain’s default network. Neuron, 65(4), 550–562. https://doi.org/10.1016/j.neuron.2010.02.005
Aspinwall, L. G., & Tedeschi, R. G. (2010). The value of positive psychology for health psychology: Progress and pitfalls in examining the relation of positive phenomena to health. Annals of Behavioral Medicine, 39(1), 4–15. https://doi.org/10.1007/s12160-009-9153-0
Beck, K., & Wilson, C. (2000). Development of affective organizational commitment: A cross-sequential examination of change with tenure. Journal of Vocational Behavior, 56(1), 114–136. https://doi.org/10.1006/jvbe.1999.1712
Belden, A. C., Luby, J. L., Pagliaccio, D., & Barch, D. M. (2014). Neural activation associated with the cognitive emotion regulation of sadness in healthy children. Developmental Cognitive Neuroscience, 9, 136–147. https://doi.org/10.1016/j.dcn.2014.02.003
Boman, K. (2018). Heart rate variability: A possible measure of subjective wellbeing? Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15911
Bommer, W. H., Pesta, B. J., & Storrud-Barnes, S. F. (2011). Nonverbal emotion recognition and performance: Differences matter differently. Journal of Managerial Psychology, 26(1), 28–41. https://doi.org/10.1108/02683941111099600
Brief, A. P., Butcher, A. H., George, J. M., & Link, K. E. (1993). Integrating bottom-up and top-down theories of subjective well-being: The case of health. Journal of Personality and Social Psychology, 64(4), 646–653. https://doi.org/10.1037/0022-3514.64.4.646
Buckley, T. R. (2018). Black adolescent males: Intersections among their gender role identity and racial identity and associations with self-concept (Global and School). Child Development, 89(4), e311–e322. https://doi.org/10.1111/cdev.12950
Chenji, S., Jha, S., Lee, D., Brown, M., Seres, P., Mah, D., & Kalra, S. (2016). Investigating default mode and sensorimotor network connectivity in amyotrophic lateral sclerosis. PLoS ONE, 11(6), e0157443. https://doi.org/10.1371/journal.pone.0157443
Cicognani, E., Pirini, C., Keyes, C., Joshanloo, M., Rostami, R., & Nosratabadi, M. (2008). Social participation, sense of community and social well being: A Study on American, Italian and Iranian University Students. Social Indicators Research, 89(1), 97–112. https://doi.org/10.1007/s11205-007-9222-3
Cloninger, C. R., & Zwir, I. (2018). What is the natural measurement unit of temperament: Single traits or profiles? Philosophical Transactions of the Royal Society b: Biological Sciences, 373(1744), 20170163. https://doi.org/10.1098/rstb.2017.0163
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.
Conrod, P. J., Castellanos-Ryan, N., & Mackie, C. (2011). Long-term effects of a personality-targeted intervention to reduce alcohol use in adolescents. Journal of Consulting and Clinical Psychology, 79(3), 296–306. https://doi.org/10.1037/a0022997
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3(3), 201–215. https://doi.org/10.1038/nrn755
Craig, A. D. (2002). How do you feel? Interoception: The sense of the physiological condition of the body. Nature Reviews Neuroscience, 3(8), 655–666. https://doi.org/10.1038/nrn894
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006). Consistent resting-state networks across healthy subjects. Proceedings of the National Academy of Sciences, 103(37), 13848–13853. https://doi.org/10.1073/pnas.0601417103
Dattalo, P. (2014). A demonstration of canonical correlation analysis with orthogonal rotation to facilitate interpretation. Social Work Publications. Retrieved from https://scholarscompass.vcu.edu/socialwork_pubs/2
DeNeve, K. M., & Cooper, H. (1998). The happy personality: A meta-analysis of 137 personality traits and subjective well-being. Psychological Bulletin, 124(2), 197–229. https://doi.org/10.1037/0033-2909.124.2.197
Diener, E., Oishi, S., & Lucas, R. E. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual Review of Psychology, 54(1), 403–425. https://doi.org/10.1146/annurev.psych.54.101601.145056
Diener, E., Suh, E., & Oishi, S. (1997). Recent findings on subjective well-being. Indian Journal of Clinical Psychology, 24, 25–41.
Egan, V., Deary, I., & Austin, E. (2000). The NEO-FFI: Emerging British norms and an item-level analysis suggest N, A and C are more reliable than O and E. Personality and Individual Differences, 29(5), 907–920. https://doi.org/10.1016/S0191-8869(99)00242-1
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., & Constable, R. T. (2015). Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18(11), 1664–1671. https://doi.org/10.1038/nn.4135
Fleeson, W., Malanos, A. B., & Achille, N. M. (2002). An intraindividual process approach to the relationship between extraversion and positive affect: Is acting extraverted as “good” as being extraverted? Journal of Personality and Social Psychology, 83(6), 1409–1422. https://doi.org/10.1037/0022-3514.83.6.1409
Fors Connolly, F., & Johansson Sevä, I. (2021). Agreeableness, extraversion and life satisfaction: Investigating the mediating roles of social inclusion and status. Scandinavian Journal of Psychology, 62(5), 752–762. https://doi.org/10.1111/sjop.12755
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996). Movement-Related effects in fMRI time-series. Magnetic Resonance in Medicine, 35(3), 346–355. https://doi.org/10.1002/mrm.1910350312
Frith, U., & Frith, C. D. (2003). Development and neurophysiology of mentalizing. Philosophical Transactions of the Royal Society b: Biological Sciences, 358(1431), 459–473. https://doi.org/10.1098/rstb.2002.1218
Gale, C. R., Booth, T., Mõttus, R., Kuh, D., & Deary, I. J. (2013). Neuroticism and Extraversion in youth predict mental wellbeing and life satisfaction 40 years later. Journal of Research in Personality, 47(6), 687–697. https://doi.org/10.1016/j.jrp.2013.06.005
Gao, K., Zhang, R., Xu, T., Zhou, F., & Feng, T. (2021). The effect of conscientiousness on procrastination: The interaction between the self-control and motivation neural pathways. Human Brain Mapping, 42(6), 1829–1844. https://doi.org/10.1002/hbm.25333
Geng, J. J. (2014). Attentional mechanisms of distractor suppression. Current Directions in Psychological Science, 23(2), 147–153. https://doi.org/10.1177/0963721414525780
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., & Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, 105–124. https://doi.org/10.1016/j.neuroimage.2013.04.127
Goldin, P. R., McRae, K., Ramel, W., & Gross, J. J. (2008). The Neural Bases of Emotion Regulation: Reappraisal and Suppression of Negative Emotion. Biological Psychiatry, 63(6), 577–586. https://doi.org/10.1016/j.biopsych.2007.05.031
Grosbras, M.-H., Beaton, S., & Eickhoff, S. B. (2012). Brain regions involved in human movement perception: A quantitative voxel-based meta-analysis. Human Brain Mapping, 33(2), 431–454. https://doi.org/10.1002/hbm.21222
Haga, S. M., Kraft, P., & Corby, E.-K. (2009). Emotion Regulation: Antecedents and Well-Being Outcomes of Cognitive Reappraisal and Expressive Suppression in Cross-Cultural Samples. Journal of Happiness Studies, 10(3), 271–291. https://doi.org/10.1007/s10902-007-9080-3
Hasher, L., Lustig, C., & Zacks, R. (2007). Inhibitory mechanisms and the control of attention. Variation in working memory (pp. 227–249). Oxford University Press.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. UK: Guilford publications.
Hayes, N., & Joseph, S. (2003). Big 5 correlates of three measures of subjective well-being. Personality and Individual Differences, 34(4), 723–727. https://doi.org/10.1016/S0191-8869(02)00057-0
Holle, H., Obleser, J., Rueschemeyer, S.-A., & Gunter, T. C. (2010). Integration of iconic gestures and speech in left superior temporal areas boosts speech comprehension under adverse listening conditions. NeuroImage, 49(1), 875–884. https://doi.org/10.1016/j.neuroimage.2009.08.058
Hotelling, H. (1936). Relations between two sets of variates. Biometrika, 28(3/4), 321–377. https://doi.org/10.2307/2333955
Hsu, W.-T., Rosenberg, M. D., Scheinost, D., Constable, R. T., & Chun, M. M. (2018). Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals. Social Cognitive and Affective Neuroscience, 13(2), 224–232. https://doi.org/10.1093/scan/nsy002
Hughes, D. J., Kratsiotis, I. K., Niven, K., & Holman, D. (2020). Personality traits and emotion regulation: A targeted review and recommendations. Emotion, 20(1), 63–67. https://doi.org/10.1037/emo0000644
Huntenburg, J. M., Bazin, P.-L., & Margulies, D. S. (2018). Large-scale gradients in human cortical organization. Trends in Cognitive Sciences, 22(1), 21–31. https://doi.org/10.1016/j.tics.2017.11.002
Jensen-Campbell, L. A., Knack, J. M., Waldrip, A. M., & Campbell, S. D. (2007). Do Big Five personality traits associated with self-control influence the regulation of anger and aggression? Journal of Research in Personality, 41(2), 403–424. https://doi.org/10.1016/j.jrp.2006.05.001
Joshanloo, M., Rastegar, P., & Bakhshi, A. (2012). The Big Five personality domains as predictors of social wellbeing in Iranian university students. Journal of Social and Personal Relationships, 29(5), 639–660. https://doi.org/10.1177/0265407512443432
Jung, H.-Y., Pae, C., An, I., Bang, M., Choi, T. K., Cho, S. J., & Lee, S.-H. (2022). A multimodal study regarding neural correlates of the subjective well-being in healthy individuals. Scientific Reports, 12(1), 13688. https://doi.org/10.1038/s41598-022-18013-1
Kagan, J. (2018). Brain and emotion. Emotion Review, 10(1), 79–86. https://doi.org/10.1177/1754073916679009
Keller, J. B., Hedden, T., Thompson, T. W., Anteraper, S. A., Gabrieli, J. D. E., & Whitfield-Gabrieli, S. (2015). Resting-state anticorrelations between medial and lateral prefrontal cortex: Association with working memory, aging, and individual differences. Cortex, 64, 271–280. https://doi.org/10.1016/j.cortex.2014.12.001
Kim, P., Evans, G. W., Angstadt, M., Ho, S. S., Sripada, C. S., Swain, J. E., Liberzon, I., & Phan, K. L. (2013). Effects of childhood poverty and chronic stress on emotion regulatory brain function in adulthood. Proceedings of the National Academy of Sciences, 110(46), 18442–18447. https://doi.org/10.1073/pnas.1308240110
King, M. L. (2019). The neural correlates of well-being: A systematic review of the human neuroimaging and neuropsychological literature. Cognitive, Affective, & Behavioral Neuroscience, 19(4), 779–796. https://doi.org/10.3758/s13415-019-00720-4
Kokko, K., Tolvanen, A., & Pulkkinen, L. (2013). Associations between personality traits and psychological well-being across time in middle adulthood. Journal of Research in Personality, 47(6), 748–756. https://doi.org/10.1016/j.jrp.2013.07.002
Kokkonen, M., & Pulkkinen, L. (2001). Extraversion and Neuroticism as antecedents of emotion regulation and dysregulation in adulthood. European Journal of Personality, 15(6), 407–424. https://doi.org/10.1002/per.425
Komulainen, E., Meskanen, K., Lipsanen, J., Lahti, J. M., Jylhä, P., Melartin, T., & Ekelund, J. (2014). The effect of personality on daily life emotional processes. PLoS ONE, 9(10), e110907. https://doi.org/10.1371/journal.pone.0110907
Kong, F., Hu, S., Wang, X., Song, Y., & Liu, J. (2015a). Neural correlates of the happy life: The amplitude of spontaneous low frequency fluctuations predicts subjective well-being. NeuroImage, 107, 136–145. https://doi.org/10.1016/j.neuroimage.2014.11.033
Kong, F., Liu, L., Wang, X., Hu, S., Song, Y., & Liu, J. (2015b). Different neural pathways linking personality traits and eudaimonic well-being: A resting-state functional magnetic resonance imaging study. Cognitive, Affective, & Behavioral Neuroscience, 15(2), 299–309. https://doi.org/10.3758/s13415-014-0328-1
Kropf, E., Syan, S. K., Minuzzi, L., & Frey, B. N. (2018). From anatomy to function: The role of the somatosensory cortex in emotional regulation. Revista Brasileira De Psiquiatria, 41(3), 261–269. https://doi.org/10.1590/1516-4446-2018-0183
Kupst, M. J., Butt, Z., Stoney, C. M., Griffith, J. W., Salsman, J. M., Folkman, S., & Cella, D. (2015). Assessment of stress and self-efficacy for the NIH toolbox for neurological and behavioral function. Anxiety, Stress, & Coping, 28(5), 531–544. https://doi.org/10.1080/10615806.2014.994204
Kwan, V., Bond, M., & Singelis, T. (1997). Pancultural explanations for life satisfaction: Adding relationship harmony to self-esteem. Journal of Personality and Social Psychology, 73, 1038–1051. https://doi.org/10.1037/0022-3514.73.5.1038
Larsen, R., & Ketelaar, T. (1991). Personality and susceptibility to positive and negative emotional States. Journal of Personality and Social Psychology, 61, 132–140. https://doi.org/10.1037//0022-3514.61.1.132
Lee, R. M., Dean, B. L., & Jung, K.-R. (2008). Social connectedness, extraversion, and subjective well-being: Testing a mediation model. Personality and Individual Differences, 45(5), 414–419. https://doi.org/10.1016/j.paid.2008.05.017
Li, L. M. W., Luo, S., Ma, J., Lin, Y., Fan, L., Zhong, S., & Wu, X. (2018). Functional connectivity pattern underlies individual differences in independent self-construal. Social Cognitive and Affective Neuroscience, 13(3), 269–280. https://doi.org/10.1093/scan/nsy008
Librán, E. C. (2006). Personality dimensions and subjective well-being. The Spanish Journal of Psychology, 9(1), 38–44. https://doi.org/10.1017/S1138741600005953
Lightsey, O. R., Jr., Boyraz, G., Ervin, A., Rarey, E. B., Gharibian Gharghani, G., & Maxwell, D. (2014). Generalized self-efficacy, positive cognitions, and negative cognitions as mediators of the relationship between conscientiousness and meaning in life. Canadian Journal of Behavioural Science/revue Canadienne Des Sciences Du Comportement, 46(3), 436–445. https://doi.org/10.1037/a0034022
Lin, J., Li, L., Pan, N., Liu, X., Zhang, X., Suo, X., & Gong, Q. (2023). Neural correlates of neuroticism: A coordinate-based meta-analysis of resting-state functional brain imaging studies. Neuroscience & Biobehavioral Reviews, 146, 105055. https://doi.org/10.1016/j.neubiorev.2023.105055
Linley, P. A., Maltby, J., Wood, A. M., Osborne, G., & Hurling, R. (2009). Measuring happiness: The higher order factor structure of subjective and psychological well-being measures. Personality and Individual Differences, 47(8), 878–884. https://doi.org/10.1016/j.paid.2009.07.010
Liu, J., Drane, W., Liu, X., & Wu, T. (2009). Examination of the relationships between environmental exposures to volatile organic compounds and biochemical liver tests: Application of canonical correlation analysis. Environmental Research, 109(2), 193–199. https://doi.org/10.1016/j.envres.2008.11.002
Luo, Y., Huang, X., Yang, Z., Li, B., Liu, J., & Wei, D. (2014). Regional homogeneity of intrinsic brain activity in happy and unhappy individuals. PLoS ONE, 9(1), e85181. https://doi.org/10.1371/journal.pone.0085181
Luo, Y., Kong, F., Qi, S., You, X., & Huang, X. (2016). Resting-state functional connectivity of the default mode network associated with happiness. Social Cognitive and Affective Neuroscience, 11(3), 516–524. https://doi.org/10.1093/scan/nsv132
Ma, Q., Tang, Y., Wang, F., Liao, X., Jiang, X., Wei, S., & Xia, M. (2020). Transdiagnostic dysfunctions in brain modules across patients with schizophrenia, bipolar disorder, and major depressive disorder: A connectome-based study. Schizophrenia Bulletin, 46(3), 699–712. https://doi.org/10.1093/schbul/sbz111
Machell, K. A., Goodman, F. R., & Kashdan, T. B. (2015). Experiential avoidance and well-being: A daily diary analysis. Cognition and Emotion, 29(2), 351–359. https://doi.org/10.1080/02699931.2014.911143
Mai, L., & Ness, M. R. (1999). Canonical correlation analysis of customer satisfaction and future purchase of mail-order speciality food. British Food Journal, 101(11), 857–870. https://doi.org/10.1108/00070709910301373
Mallett, A. (2007). Social acceptance of renewable energy innovations: The role of technology cooperation in urban Mexico. Energy Policy, 35(5), 2790–2798. https://doi.org/10.1016/j.enpol.2006.12.008
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., & Smallwood, J. (2016). Situating the default-mode network along a principal gradient of macroscale cortical organization. Proceedings of the National Academy of Sciences of the United States of America, 113(44), 12574–12579. https://doi.org/10.1073/pnas.1608282113
Markett, S., Montag, C., & Reuter, M. (2018). Network neuroscience and personality. Personality Neuroscience, 1, e14. https://doi.org/10.1017/pen.2018.12
Mattay, V. S., Fera, F., Tessitore, A., Hariri, A. R., Das, S., Callicott, J. H., & Weinberger, D. R. (2002). Neurophysiological correlates of age-related changes in human motor function. Neurology, 58(4), 630–635. https://doi.org/10.1212/WNL.58.4.630
McCrae, R. R., & Costa, P. T. (1991). Adding Liebe und Arbeit: The full five-factor model and well-being. Personality and Social Psychology Bulletin, 17(2), 227–232. https://doi.org/10.1177/014616729101700217
Mesulam, M. M. (1998). From sensation to cognition. Brain, 121(6), 1013–1052. https://doi.org/10.1093/brain/121.6.1013
Mulders, P., Llera, A., Tendolkar, I., van Eijndhoven, P., & Beckmann, C. (2018). Personality profiles are associated with functional brain networks related to cognition and emotion. Scientific Reports, 8(1), 13874. https://doi.org/10.1038/s41598-018-32248-x
Mullarkey, M. C., & Schleider, J. L. (2020). Contributions of fixed mindsets and hopelessness to anxiety and depressive symptoms: A commonality analysis approach. Journal of Affective Disorders, 261, 245–252. https://doi.org/10.1016/j.jad.2019.10.023
Nathans, L. L., Oswald, F. L., & Nimon, K. (2012). Interpreting multiple linear regression: A guidebook of variable importance. Practical Assessment, Research & Evaluation, 17(9), n9.
Ng, W., & Diener, E. (2009). Personality differences in emotions. Journal of Individual Differences, 30(2), 100–106. https://doi.org/10.1027/1614-0001.30.2.100
Nimon, K., Oswald, F., & Roberts, J. K. (2021). yhat: Interpreting regression effects. R package version 2.0–3. Retrieved from https://CRAN.R-project.org/package=yhat.
Nimon, K., & Reio, T. G., Jr. (2011). Regression commonality analysis: A technique for quantitative theory building. Human Resource Development Review, 10(3), 329–340. https://doi.org/10.1177/1534484311411077
Northoff, G. (2008). Are our emotional feelings relational? A neurophilosophical investigation of the James-Lange theory. Phenomenology and the Cognitive Sciences, 7(4), 501–527. https://doi.org/10.1007/s11097-008-9086-2
Numssen, O., Bzdok, D., & Hartwigsen, G. (2021). Functional specialization within the inferior parietal lobes across cognitive domains. eLife, 10, e63591. https://doi.org/10.7554/eLife.63591
Odom, S. L., Zercher, C., Li, S., Marquart, J. M., Sandall, S., & Brown, W. H. (2006). Social acceptance and rejection of preschool children with disabilities: A mixed-method analysis. Journal of Educational Psychology, 98, 807–823. https://doi.org/10.1037/0022-0663.98.4.807
Pan, J., Zhan, L., Hu, C., Yang, J., Wang, C., Gu, L., & Wu, X. (2018). Emotion regulation and complex brain networks: Association between expressive suppression and efficiency in the fronto-parietal network and default-mode network. Frontiers in Human Neuroscience, 12, 70. https://doi.org/10.3389/fnhum.2018.00070
Ploner, M., Schmitz, F., Freund, H.-J., & Schnitzler, A. (2000). Differential organization of touch and pain in human primary somatosensory cortex. Journal of Neurophysiology, 83(3), 1770–1776. https://doi.org/10.1152/jn.2000.83.3.1770
Potochnick, S., Perreira, K. M., & Fuligni, A. (2012). Fitting In: The Roles of Social Acceptance and Discrimination in Shaping the Daily Psychological Well-Being of Latino Youth*. Social Science Quarterly, 93(1), 173–190. https://doi.org/10.1111/j.1540-6237.2011.00830.x
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., & Petersen, S. E. (2011). Functional network organization of the human brain. Neuron, 72(4), 665–678. https://doi.org/10.1016/j.neuron.2011.09.006
Qi, D., Lam, C. L. M., Wong, J. J., Chang, D. H. F., & Lee, T. M. C. (2021). Positive affect is inversely related to the salience and emotion network’s connectivity. Brain Imaging and Behavior, 15, 2031–2039. https://doi.org/10.1007/s11682-020-00397-1
Ramezanpour, H., & Fallah, M. (2022). The role of temporal cortex in the control of attention. Current Research in Neurobiology, 3, 100038. https://doi.org/10.1016/j.crneur.2022.100038
Richmond, V. P., Mccroskey, J. C., & McCroskey, L. L. (1989). An investigation of self-perceived communication competence and personality orientations. Communication Research Reports, 6(1), 28–36. https://doi.org/10.1080/08824098909359829
Rickard, N. S., & Vella-Brodrick, D. A. (2014). Changes in well-being: Complementing a psychosocial approach with neurobiological insights. Social Indicators Research, 117(2), 437–457. https://doi.org/10.1007/s11205-013-0353-4
Rolland, J. P., Parker, W. D., & Stumpf, H. (1998). A psychometric examination of the french translations of NEO-PI-R and NEO-FFI. Journal of Personality Assessment, 71(2), 269–291. https://doi.org/10.1207/s15327752jpa7102_13
Rolls, E. T. (2000). Précis of The brain and emotion. Behavioral and Brain Sciences, 23(2), 177–191. https://doi.org/10.1017/S0140525X00002429
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52(3), 1059–1069. https://doi.org/10.1016/j.neuroimage.2009.10.003
Rubinov, M., & Sporns, O. (2011). Weight-conserving characterization of complex functional brain networks. NeuroImage, 56(4), 2068–2079. https://doi.org/10.1016/j.neuroimage.2011.03.069
Rusting, C. L. (1998). Personality, mood, and cognitive processing of emotional information: Three conceptual frameworks. Psychological Bulletin, 124(2), 165–196. https://doi.org/10.1037/0033-2909.124.2.165
Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Review of Psychology, 52(1), 141–166. https://doi.org/10.1146/annurev.psych.52.1.141
Ryff, C. D., & Keyes, C. L. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037//0022-3514.69.4.719
Salsman, J. M., Lai, J.-S., Hendrie, H. C., Butt, Z., Zill, N., Pilkonis, P. A., & Cella, D. (2014). Assessing psychological well-being: Self-report instruments for the NIH Toolbox. Quality of Life Research, 23(1), 205–215. https://doi.org/10.1007/s11136-013-0452-3
Sampaio, A., Soares, J. M., Coutinho, J., Sousa, N., & Gonçalves, Ó. F. (2014). The big five default brain: Functional evidence. Brain Structure and Function, 219(6), 1913–1922. https://doi.org/10.1007/s00429-013-0610-y
Sandvik, E., Diener, E., & Seidlitz, L. (1993). Subjective well-being: The convergence and stability of self-report and non-self-report measures. Journal of Personality, 61(3), 317–342. https://doi.org/10.1111/j.1467-6494.1993.tb00283.x
Satpute, A. B., Kang, J., Bickart, K. C., Yardley, H., Wager, T. D., & Barrett, L. F. (2015). Involvement of sensory regions in affective experience: A meta-analysis. Frontiers in Psychology, 6, 1860. https://doi.org/10.3389/fpsyg.2015.01860
Schmutte, P. S., & Ryff, C. D. (1997). Personality and well-being: Reexamining methods and meanings. Journal of Personality and Social Psychology, 73(3), 549–559. https://doi.org/10.1037/0022-3514.73.3.549
Seidler, R. D., Bernard, J. A., Burutolu, T. B., Fling, B. W., Gordon, M. T., Gwin, J. T., & Lipps, D. B. (2010). Motor control and aging: Links to age-related brain structural, functional, and biochemical effects. Neuroscience & Biobehavioral Reviews, 34(5), 721–733. https://doi.org/10.1016/j.neubiorev.2009.10.005
Senden, M., Reuter, N., van den Heuvel, M. P., Goebel, R., & Deco, G. (2017). Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior. NeuroImage, 146, 561–574. https://doi.org/10.1016/j.neuroimage.2016.10.044
Servaas, M. N., Geerligs, L., Renken, R. J., Marsman, J.-B.C., Ormel, J., Riese, H., & Aleman, A. (2015). Connectomics and neuroticism: An altered functional network organization. Neuropsychopharmacology, 40(2), 296–304. https://doi.org/10.1038/npp.2014.169
Sha, Z., Xia, M., Lin, Q., Cao, M., Tang, Y., Xu, K., & Fox, P. T. (2018). Meta-connectomic analysis reveals commonly disrupted functional architectures in network modules and connectors across brain disorders. Cerebral Cortex, 28(12), 4179–4194. https://doi.org/10.1093/cercor/bhx273
Sherry, A., & Henson, R. K. (2005). Conducting and interpreting canonical correlation analysis in personality research: A user-friendly primer. Journal of Personality Assessment, 84(1), 37–48. https://doi.org/10.1207/s15327752jpa8401_09
Slattery, E. J., Ryan, P., Fortune, D. G., & McAvinue, L. P. (2021). Contributions of working memory and sustained attention to children’s reading achievement: A commonality analysis approach. Cognitive Development, 58, 101028. https://doi.org/10.1016/j.cogdev.2021.101028
Smallwood, J., Bernhardt, B. C., Leech, R., Bzdok, D., Jefferies, E., & Margulies, D. S. (2021). The default mode network in cognition: A topographical perspective. Nature Reviews Neuroscience, 22(8), 503–513. https://doi.org/10.1038/s41583-021-00474-4
Smith, S. M., Beckmann, C. F., Andersson, J., Auerbach, E. J., Bijsterbosch, J., Douaud, G., & Glasser, M. F. (2013). Resting-state fMRI in the human connectome project. NeuroImage, 80, 144–168. https://doi.org/10.1016/j.neuroimage.2013.05.039
Soto, C. J. (2015). Is happiness good for your personality? concurrent and prospective relations of the big five with subjective well-being. Journal of Personality, 83(1), 45–55. https://doi.org/10.1111/jopy.12081
Spreng, R. N., Stevens, W. D., Viviano, J. D., & Schacter, D. L. (2016). Attenuated anticorrelation between the default and dorsal attention networks with aging: Evidence from task and rest. Neurobiology of Aging, 45, 149–160. https://doi.org/10.1016/j.neurobiolaging.2016.05.020
Steel, P., Schmidt, J., & Shultz, J. (2008). Refining the relationship between personality and subjective well-being. Psychological Bulletin, 134(1), 138–161. https://doi.org/10.1037/0033-2909.134.1.138
Tian, X., Wei, D., Du, X., Wang, K., Yang, J., Liu, W., & Qiu, J. (2016). Assessment of trait anxiety and prediction of changes in state anxiety using functional brain imaging: A test–retest study. NeuroImage, 133, 408–416. https://doi.org/10.1016/j.neuroimage.2016.03.024
Toschi, N., Riccelli, R., Indovina, I., Terracciano, A., & Passamonti, L. (2018). Functional connectome of the five-factor model of personality. Personality Neuroscience, 1, e2. https://doi.org/10.1017/pen.2017.2
van den Hurk, P. A. M., Wingens, T., Giommi, F., Barendregt, H. P., Speckens, A. E. M., & van Schie, H. T. (2011). On the relationship between the practice of mindfulness meditation and personality—An exploratory analysis of the mediating role of mindfulness skills. Mindfulness, 2(3), 194–200. https://doi.org/10.1007/s12671-011-0060-7
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013). The WU-Minn human connectome project: An overview. NeuroImage, 80, 62–79. https://doi.org/10.1016/j.neuroimage.2013.05.041
Vossel, S., Geng, J. J., & Fink, G. R. (2014). Dorsal and ventral attention systems: Distinct neural circuits but collaborative roles. The Neuroscientist, 20(2), 150–159. https://doi.org/10.1177/1073858413494269
Wang, J., Wang, X., Xia, M., Liao, X., Evans, A., & He, Y. (2015a). GRETNA: A graph theoretical network analysis toolbox for imaging connectomics. Frontiers in Human Neuroscience, 9, 386. https://doi.org/10.3389/fnhum.2015.00386
Wang, P., Zhou, B., Yao, H., Zhan, Y., Zhang, Z., Cui, Y., & Jiang, T. (2015b). Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment. Scientific Reports, 5(1), 14824. https://doi.org/10.1038/srep14824
Weissman, D. H., & Prado, J. (2012). Heightened activity in a key region of the ventral attention network is linked to reduced activity in a key region of the dorsal attention network during unexpected shifts of covert visual spatial attention. NeuroImage, 61(4), 798–804. https://doi.org/10.1016/j.neuroimage.2012.03.032
Whitney, C., Kirk, M., O’Sullivan, J., Lambon Ralph, M. A., & Jefferies, E. (2011). The neural organization of semantic control: TMS evidence for a distributed network in left inferior frontal and posterior middle temporal gyrus. Cerebral Cortex, 21(5), 1066–1075. https://doi.org/10.1093/cercor/bhq180
Xia, M., Wang, J., & He, Y. (2013). BrainNet viewer: A network visualization tool for human brain connectomics. PLoS ONE, 8(7), e68910. https://doi.org/10.1371/journal.pone.0068910
Yan, C.-G., Wang, X.-D., Zuo, X.-N., & Zang, Y.-F. (2016). DPABI: Data processing & analysis for (Resting-State) brain imaging. Neuroinformatics, 14(3), 339–351. https://doi.org/10.1007/s12021-016-9299-4
Yi, Y., Li, L. M. W., Xiao, Y., Ma, J., Fan, L., & Dai, Z. (2018). Brain activity mediates the relation between emotional but not instrumental support and trait loneliness. Social Cognitive and Affective Neuroscience, 13(9), 995–1002. https://doi.org/10.1093/scan/nsy067
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010). Network-based statistic: Identifying differences in brain networks. NeuroImage, 53(4), 1197–1207. https://doi.org/10.1016/j.neuroimage.2010.06.041
Zhang, R.-P., & Tsingan, L. (2014). Extraversion and neuroticism mediate associations between openness, conscientiousness, and agreeableness and affective well-being. Journal of Happiness Studies, 15(6), 1377–1388. https://doi.org/10.1007/s10902-013-9482-3
Zhao, J., Wang, J., Huang, C., & Liang, P. (2022). Involvement of the dorsal and ventral attention networks in visual attention span. Human Brain Mapping, 43(6), 1941–1954. https://doi.org/10.1002/hbm.25765
Acknowledgements
We would like to thank Dr. Jinbo Zhang for his valuable suggestions on the visualization of results.
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This work was supported by the National Natural Science Foundation of China (NSFC) (No. 81601559, 71701219), and Guangdong Basic and Applied Basic Research Foundation (No. 2022A1515012005).
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Li, L., Li, L.M.W., Ma, J. et al. The Relationship Between Personality Traits and Well-Being via Brain Functional Connectivity. J Happiness Stud 24, 2127–2152 (2023). https://doi.org/10.1007/s10902-023-00674-y
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DOI: https://doi.org/10.1007/s10902-023-00674-y