Resting-state functional network connectivity underlying conscientiousness in school-aged children

References

• Allen, T. A., & Deyoung, C. G. (2017). Personalityneuroscience and the FFM 1 personality neuroscience and the five factor model.
   Google Scholar
• Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W., Segall, J. M., Silva, R. F., Havlicek M., Rachakonda S., Fries J., Kalyanam R., Michael A. M., & Calhoun, V. D. (2011). A baseline for the multivariate comparison of resting-state networks. Frontiers in Systems Neuroscience, 5, 2. https://doi.org/10.3389/fnsys.2011.00002
   PubMedGoogle Scholar
• Allen, T. A., & Hallquist, M. N. (2020). Disinhibition and detachment in adolescence: A developmental cognitive neuroscience perspective on the alternative model for personality disorders. Psychopathology, 53(3–4), 205–212. https://doi.org/10.1159/000509984
   PubMed Web of Science ®Google Scholar
• Allen, T. A., Rueter, A. R., Abram, S. V., Brown, J. S., & Deyoung, C. G. (2017). Personality and neural correlates of mentalizing ability. European Journal of Personality, 31(6), 599–613. https://doi.org/10.1002/per.2133
   PubMed Web of Science ®Google Scholar
• Anteraper, S. A., Collin, G., Guell, X., Scheinert, T., Molokotos, E., Henriksen, M. T., Mesholam-Gately R., Thermenos H. W., Seidman L. J., Keshavan M. S., Gabrieli J. D., & Whitfield-Gabrieli, S. (2020). Altered resting-state functional connectivity in young children at familial high risk for psychotic illness: A preliminary study. Schizophrenia Research, 216, 496–503. https://doi.org/10.1016/j.schres.2019.09.006
   PubMed Web of Science ®Google Scholar
• Avinun, R., Israel, S., Knodt, A. R., & Hariri, A. R. (2020). Little evidence for associations between the Big Five personality traits and variability in brain gray or white matter. Neuroimage, 220, 117092. https://doi.org/10.1016/j.neuroimage.2020.117092
   PubMed Web of Science ®Google Scholar
• Barbaranelli, C., Caprara, G. V., Rabasca, A., & Pastorelli, C. (2003). A questionnaire for measuring the Big Five in late childhood. Personality and Individual Differences, 34(4), 645–664. https://doi.org/10.1016/S0191-8869/02/00051-X
   Web of Science ®Google Scholar
• Barrett, L. F., & Satpute, A. B. (2013). Large-scale brain networks in affective and social neuroscience: Towards an integrative functional architecture of the brain. Current Opinion in Neurobiology, 23(3), 361–372. https://doi.org/10.1016/j.conb.2012.12.012
   PubMed Web of Science ®Google Scholar
• Bjornebekk, A., Fjell, A. M., Walhovd, K. B., Grydeland, H., Torgersen, S., & Westlye, L. T. (2013). Neuronal correlates of the five factor model (FFM) of human personality: Multimodal imaging in a large healthy sample. Neuroimage, 65, 194–208. https://doi.org/10.1016/j.neuroimage.2012.10.009
   PubMed Web of Science ®Google Scholar
• Brandt, N. D., Becker, M., Tetzner, J., Brunner, M., & Kuhl, P. (2021). What teachers and parents can add to personality ratings of children: Unique associations with academic performance in elementary school. European Journal of Personality, 35(6), 814–832. https://doi.org/10.1177/0890207020988436
   Web of Science ®Google Scholar
• Brown, S. M., Manuck, S. B., Flory, J. D., & Hariri, A. R. (2006). Neural basis of individual differences in impulsivity: Contributions of corticolimbic circuits for behavioral arousal and control. Emotion, 6(2), 239–245. https://doi.org/10.1037/1528-3542.6.2.239
   PubMed Web of Science ®Google Scholar
• Camisa, K. M., Bockbrader, M. A., Lysaker, P., Rae, L. L., Brenner, C. A., & O’Donnell, B. F. (2005). Personality traits in schizophrenia and related personality disorders. Psychiatry Research, 133(1), 23–33. https://doi.org/10.1016/j.psychres.2004.09.002
   PubMed Web of Science ®Google Scholar
• Chen, C., Mao, Y., Luo, J., He, L., & Jiang, Q. (2018). Regional gray matter volume mediates the relationship between conscientiousness and expressive suppression. Frontiers in Human Neuroscience, 12, 12. https://doi.org/10.3389/fnhum.2018.00301
   PubMed Web of Science ®Google Scholar
• Chowdhury, M. S., & Amin, M. N. (2006). Personality and students’ academic achievement: Interactive effects of conscientiousness and agreeableness on students’ performance in principles of economics. Social Behavior and Personality, 34(4), 381–388. https://doi.org/10.2224/sbp.2006.34.4.381
   Web of Science ®Google Scholar
• Cohn, M. D., Pape, L. E., Schmaal, L., van den Brink, W., van Wingen, G., Vermeiren, R. R. J. M., Doreleijers T. A., Veltman D. J., Popma A., & Popma, A. (2015). Differential relations between Juvenile psychopathic traits and resting state network connectivity. Human Brain Mapping, 36(6), 2396–2405. https://doi.org/10.1002/hbm.22779
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Cui, L., Zhang, Z., Zac Lo, C.-Y., & Guo, Q. (2021). Local functional MR change pattern and its association with cognitive function in objectively-defined subtle cognitive decline. Frontiers in Aging Neuroscience, 13, 684918. Article No.: 684918. https://doi.org/10.3389/fnagi.2021.684918
   PubMed Web of Science ®Google Scholar
• Damoiseaux, J. S., Structure, M. G. J. B., & Function. (2009). Greater than the sum of its parts: A review of studies combining structural connectivity and resting-state functional connectivity. Brain Structure & Function, 213(6), 525–533. https://doi.org/10.1007/s00429-009-0208-6
   PubMed Web of Science ®Google Scholar
• Demetriou, A., Kyriakides, L., & Avraamidou, C. (2003). The missing link in the relations between intelligence and personality. Journal of Research in Personality, 37(6), 547–581. https://doi.org/10.1016/S0092-6566/03/00048-5
   Web of Science ®Google Scholar
• Depue, R. A., & Collins, P. F. (1999). Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behavioral and Brain Sciences, 22(3), 491–517. https://doi.org/10.1017/S0140525X99002046
   PubMed Web of Science ®Google Scholar
• Deyoung, C. G., & Gray, J. R. (2009). Personality neuroscience: Explaining individual differences in affect, behavior, and cognition.
   Google Scholar
• DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010). Testing predictions from personality neuroscience. Brain structure and the big five. Psychological Science, 21(6), 820–828. https://doi.org/10.1177/0956797610370159
   PubMed Web of Science ®Google Scholar
• DiBlas, L., & Carraro, D. (2011). Relations between nonverbal intelligence and personality reports in late childhood. Journal of Research in Personality, 45(1), 112–116. https://doi.org/10.1016/j.jrp.2010.10.004
   Web of Science ®Google Scholar
• Dixon, M. L., De la Vega, A., Mills, C., Andrews-Hanna, J., Spreng, R. N., Cole, M. W., & Christoff, K. (2018). Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks. Proceedings of the National Academy of Sciences of the United States of America, 115(7), E1598–E1607. https://doi.org/10.1073/pnas.1715766115
   PubMed Web of Science ®Google Scholar
• Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008). A dual-networks architecture of top-down control. Trends in Cognitive Sciences, 12(3), 99–105. https://doi.org/10.1016/j.tics.2008.01.001
   PubMed Web of Science ®Google Scholar
• Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. S. C., Burgund E. D., Grimes A. L., Schlaggar B. L., Petersen S. E., & Petersen, S. E. (2006). A core system for the implementation of task sets. Neuron, 50(5), 799–812. https://doi.org/10.1016/j.neuron.2006.04.031
   PubMed Web of Science ®Google Scholar
• Eisenberg, N., Duckworth, A. L., Spinrad, T. L., & Valiente, C. (2014). Conscientiousness: Origins in childhood? Developmental Psychology, 50(5), 1331–1349. https://doi.org/10.1037/a0030977
   PubMed Web of Science ®Google Scholar
• Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar B. L., & Petersen, S. E. (2009). Functional brain networks develop from a “Local to distributed” organization. Plos Computational Biology, 5(5), e1000381. https://doi.org/10.1371/journal.pcbi.1000381
   PubMed Web of Science ®Google Scholar
• Ferschmann, L., Fjell, A. M., Vollrath, M. E., Grydeland, H., Walhovd, K. B., & Tamnes, C. K. (2018). Personality traits are associated with cortical development across adolescence: A longitudinal structural MRI study. Child Development, 89(3), 811–822. https://doi.org/10.1111/cdev.13016
   PubMed Web of Science ®Google Scholar
• Fleeson, W. (2001). Toward a structure- and process-integrated view of personality: Traits as density distributions of states. Journal of Personality and Social Psychology, 80(6), 1011–1027. https://doi.org/10.1037/0022-3514.80.6.1011
   PubMed Web of Science ®Google Scholar
• Forbes, C. E., Poore, J. C., Krueger, F., Barbey, A. K., Solomon, J., & Grafman, J. (2014). The role of executive function and the dorsolateral prefrontal cortex in the expression of neuroticism and conscientiousness. Social Neuroscience, 9(2), 139–151. https://doi.org/10.1080/17470919.2013.871333
   PubMed Web of Science ®Google Scholar
• Foulkes, L., & Blakemore, S.-J. (2018). Studying individual differences in human adolescent brain development. Nature Neuroscience, 21(3), 315–323. https://doi.org/10.1038/s41593-018-0078-4
   PubMed Web of Science ®Google Scholar
• Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006). Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceedings of the National Academy of Sciences of the United States of America, 103(26), 10046–10051. https://doi.org/10.1073/pnas.0604187103
   PubMed Web of Science ®Google Scholar
• Fuchs, T. A., Dwyer, M. G., Kuceyeski, A., Choudhery, S., Carolus, K., Li, X., Mallory M., Weinstock‐Guttman B., Jakimovski D., Ramasamy D., Zivadinov R., & Benedict, R. H. B. (2018). White matter tract network disruption explains reduced conscientiousness in multiple sclerosis. Human Brain Mapping, 39(9), 3682–3690. https://doi.org/10.1002/hbm.24203
   PubMed Web of Science ®Google Scholar
• Gailliot, M. T., Schmeichel, B. J., & Baumeister, R. F. (2006). Self-regulatory processes defend against the threat of death: Effects of self-control depletion and trait self-control on thoughts and fears of dying. Journal of Personality and Social Psychology, 91(1), 49–62. https://doi.org/10.1037/0022-3514.91.1.49
   PubMed Web of Science ®Google Scholar
• Garavan, H., Ross, T. J., & Stein, E. A. (1999). Right hemispheric dominance of inhibitory control: An event-related functional MRI study. Proceedings of the National Academy of Sciences of the United States of America, 96(14), 8301–8306. https://doi.org/10.1073/pnas.96.14.8301
   PubMed Web of Science ®Google Scholar
• Gurrera, R. J., Nestor, P. G., & O’Donnell, B. F. (2000). Personality traits in schizophrenia - Comparison with a community sample. Journal of Nervous and Mental Disease, 188(1), 31–35. https://doi.org/10.1097/00005053-200001000-00006
   PubMed Web of Science ®Google Scholar
• Harrison, B. J., Pujol, J., López-Solà, M., Hernández-Ribas, R., Deus, J., Ortiz, H., Soriano-Mas C., Yücel M., Pantelis C., & Cardoner, N. (2008). Consistency and functional specialization in the default mode brain network. Proceedings of the National Academy of Sciences, 105(28), 9781–9786. https://doi.org/10.1073/pnas.0711791105
   PubMed Web of Science ®Google Scholar
• Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2017). Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence. Intelligence, 60, 10–25. https://doi.org/10.1016/j.intell.2016.11.001
   Web of Science ®Google Scholar
• Hu, X., Erb, M., Ackermann, H., Martin, J. A., Grodd, W., & Reiterer, S. M. (2011). Voxel-based morphometry studies of personality: Issue of statistical model specification-effect of nuisance covariates. Neuroimage, 54(3), 1994–2005. https://doi.org/10.1016/j.neuroimage.2010.10.024
   PubMed Web of Science ®Google Scholar
• Hyon, R., Youm, Y., Kim, J., Chey, J., Kwak, S., & Parkinson, C. (2020). Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village. Proceedings of the National Academy of Sciences of the United States of America, 117(52), 33149–33160. https://doi.org/10.1073/pnas.2013606117
   PubMed Web of Science ®Google Scholar
• Iannaccone, R., Hauser, T. U., Staempfli, P., Walitza, S., Brandeis, D., & Brem, S. (2015). Conflict monitoring and error processing: New insights from simultaneous EEG-Fmri. Neuroimage, 105, 395–407. https://doi.org/10.1016/j.neuroimage.2014.10.028
   PubMed Web of Science ®Google Scholar
• Jackson, J., Balota, D. A., & Head, D. (2011). Exploring the relationship between personality and regional brain volume in healthy aging. Neurobiology of Aging, 32(12), 2162–2171. https://doi.org/10.1016/j.neurobiolaging.2009.12.009
   PubMed Web of Science ®Google Scholar
• Jensen-Campbell, L. A., & Malcolm, K. T. (2007). The importance of conscientiousness in adolescent interpersonal relationships. Personality and Social Psychology Bulletin, 33(3), 368–383. https://doi.org/10.1177/0146167206296104
   PubMed Web of Science ®Google Scholar
• Kapogiannis, D., Sutin, A., Davatzikos, C., Costa, P., & Resnick, S. (2013). The five factors of personality and regional cortical variability in the Baltimore longitudinal study of aging. Human Brain Mapping, 34(11), 2829–2840. https://doi.org/10.1002/hbm.22108
   PubMed Web of Science ®Google Scholar
• Kim, C., Cilles, S. E., Johnson, N. F., & Gold, B. T. (2012). Domain general and domain preferential brain regions associated with different types of task switching: A meta-analysis. Human Brain Mapping, 33(1), 130–142. https://doi.org/10.1002/hbm.21199
   PubMed Web of Science ®Google Scholar
• Klein, D. N., Kotov, R., & Bufferd, S. J. (2011). Personality and depression: Explanatory models and review of the evidence. Annual Review of Clinical Psychology, 7(1), 269–295. https://doi.org/10.1146/annurev-clinpsy-032210-104540
   PubMed Web of Science ®Google Scholar
• Kobayashi, Y., & Kuroki, M. (2005). Historical review of studies on the posterior cingulate gyrus: Papez circuit revisited. Boei Ika Daigakko Zasshi, 30(3), 124–135.
   Google Scholar
• Kohnstamm, G. A., Zhang, Y., Slotboom, A., & Besevegis, E. (1998). A developmental integration of conscientiousness from childhood to adulthood. In G. A. Kohnstamm, C. F. Halverson, I. Mervielde, & V. L. Hall (Eds.), Parental descriptions of child personality: Developmental antecedents of the Big Five? (pp. 65–84). Lawrence Erlbaum.
   Google Scholar
• Konrad, K., Firk, C., & Uhlhaas, P. J. (2013). Brain development during adolescence neuroscientific insights into this developmental period. Deutsches Arzteblatt International, 110(25), 425–U411. https://doi.org/10.3238/arztebl.2013.0425
   PubMed Web of Science ®Google Scholar
• Kunisato, Y., Okamoto, Y., Okada, G., Aoyama, S., Nishiyama, Y., Onoda, K., & Yamawaki, S. (2011). Personality traits and the amplitude of spontaneous low-frequency oscillations during resting state. Neuroscience Letters, 492(2), 109–113. https://doi.org/10.1016/j.neulet.2011.01.067
   PubMed Web of Science ®Google Scholar
• Laurens, K. R., Kiehl, K. A., & Liddle, P. F. (2005). A supramodal limbic-paralimbic-neocortical network supports goal-directed stimulus processing. Human Brain Mapping, 24(1), 35–49. https://doi.org/10.1002/hbm.20062
   PubMed Web of Science ®Google Scholar
• Lewis, G. J., Dickie, D. A., Cox, S. R., Karama, S., Evans, A. C., Starr, J. M., Bastin M. E., Wardlaw J. M., & Deary, I. J. (2018). Widespread associations between trait conscientiousness and thickness of brain cortical regions. Neuroimage, 176, 22–28. https://doi.org/10.1016/j.neuroimage.2018.04.033
   PubMed Web of Science ®Google Scholar
• Liao, W., Li, J., Duan, X., Cui, Q., Chen, H., & Chen, H. (2018). Static and dynamic connectomics differentiate between depressed patients with and without suicidal ideation. Human Brain Mapping, 39(10), 4105–4118. https://doi.org/10.1002/hbm.24235
   PubMed Web of Science ®Google Scholar
• Liu, W. Y., Weber, B., Reuter, M., Markett, S., Chu, W. C., & Montag, C. (2013). The big five of personality and structural imaging revisited: A VBM - DARTEL study. Neuroreport, 24(7), 375–380. https://doi.org/10.1097/WNR.0b013e328360dad7
   PubMed Web of Science ®Google Scholar
• Li, T., Yan, X., Li, Y., Wang, J. J., Li, Q., Li, H., & Li, J. F. (2017). Neuronal correlates of individual differences in the big five personality traits: Evidences from cortical morphology and functional homogeneity. Frontiers in Neuroscience, 11. https://doi.org/10.3389/fnins.2017.00414
   Web of Science ®Google Scholar
• Li, Y., Zhuang, K., Yi, Z., Wei, D., Sun, J., & Qiu, J. (2022). The trait and state negative affect can be separately predicted by stable and variable resting-state functional connectivity. Psychological Medicine, 52(5), 813–823. https://doi.org/10.1017/S0033291720002391
   PubMed Web of Science ®Google Scholar
• Mahoney, C. J., Rohrer, J. D., Omar, R., Rossor, M. N., & Warren, J. D. (2011). Neuroanatomical profiles of personality change in frontotemporal lobar degeneration. British Journal of Psychiatry, 198(5), 365–372. https://doi.org/10.1192/bjp.bp.110.082677
   PubMed Web of Science ®Google Scholar
• Mammadov, S. (2021). Big Five personality traits and academic performance: A meta-analysis. Journal of Personality, 90(2), 222–255. https://doi.org/10.1111/jopy.12663
   PubMed Web of Science ®Google Scholar
• Marengo, D., Davis, K. L., Gradwohl, G. O., & Montag, C. (2021). A meta-analysis on individual differences in primary emotional systems and Big Five personality traits. Scientific Reports, 11(1), 7453. Article No.: 7453. https://doi.org/10.1038/s41598-021-84366-8
   PubMed Web of Science ®Google Scholar
• Markett, S., Montag, C., & Reuter, M. J. P. N. (2018). Network neuroscience and personality. Personality Neuroscience, 1, 1. https://doi.org/10.1017/pen.2018.12
   Google Scholar
• Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention and control: A network model of insula function. Brain Structure & Function, 214(5–6), 655–667. https://doi.org/10.1007/s00429-010-0262-0
   PubMed Web of Science ®Google Scholar
• Motoyama, H., & Hishitani, S. (2016). The brain mechanism that reduces the vividness of negative imagery. Consciousness and Cognition, 39, 59–69. https://doi.org/10.1016/j.concog.2015.11.006
   PubMed Web of Science ®Google Scholar
• Neuenschwander, R., Cimeli, P., Roethlisberger, M., & Roebers, C. M. (2013). Personality factors in elementary school children: Contributions to academic performance over and above executive functions? Learning and Individual Differences, 25, 118–125. https://doi.org/10.1016/j.lindif.2012.12.006
   Web of Science ®Google Scholar
• Ozer, D. J., & Benet-Martinez, V. (2006). Personality and the prediction of consequential outcomes. Annu Rev Psychol, 57(1), 401–421. https://doi.org/10.1146/annurev.psych.57.102904.190127
   PubMed Web of Science ®Google Scholar
• Passamonti, L., Riccelli, R., Indovina, I., Duggento, A., Terracciano, A., & Toschi, N. (2019). Time-resolved connectome of the five-factor model of personality. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-51469-2
   PubMedGoogle Scholar
• Passingham, R. E., Stephan, K. E., & Kotter, R. (2002). The anatomical basis of functional localization in the cortex. Nature Reviews Neuroscience, 3(8), 606–616. https://doi.org/10.1038/nrn893
   PubMed Web of Science ®Google Scholar
• Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Petersen, S. E. J. N., Church, J., Vogel, A., Laumann, T., Miezin, F., Schlaggar, B., & Petersen, S. (2011). Functional network organization of the human brain. Neuron, 72(4), 665–678. https://doi.org/10.1016/j.neuron.2011.09.006
   PubMed Web of Science ®Google Scholar
• Power, J. D., Schlaggar, B. L., Lessov-Schlaggar, C. N., & Petersen, S. E. (2013). Evidence for hubs in human functional brain networks. Neuron, 79(4), 798–813. https://doi.org/10.1016/j.neuron.2013.07.035
   PubMed Web of Science ®Google Scholar
• Privado, J., Roman, F. J., Saenz-Urturi, C., Burgaleta, M., & Colom, R. (2017). Gray and white matter correlates of the Big Five personality traits. Neuroscience, 349, 174–184. https://doi.org/10.1016/j.neuroscience.2017.02.039
   PubMed Web of Science ®Google Scholar
• Raichle, M. E. (2015). The brain’s default mode network. In S. E. Hyman (Ed.), Annual review of neuroscience (Vol. 38, pp. 433–447).
   Google Scholar
• Roberts, B. W., Lejuez, C., Krueger, R. F., Richards, J. M., & Hill, P. L. (2014). What is conscientiousness and how can it be assessed? Developmental Psychology, 50(5), 1315–1330. https://doi.org/10.1037/a0031109
   PubMed Web of Science ®Google Scholar
• Robertson, I. T., Baron, H., Gibbons, P., MacIver, R., & Nyfield, G. (2000). Conscientiousness and managerial performance. Journal of Occupational and Organizational Psychology, 73(2), 171–180. https://doi.org/10.1348/096317900166967
   Web of Science ®Google Scholar
• Roberts, B. W., Walton, K. E., & Bogg, T. (2005). Conscientiousness and health across the life course. Review of General Psychology, 9(2), 156–168. https://doi.org/10.1037/1089-2680.9.2.156
   Web of Science ®Google Scholar
• Rolls, E. T. (2004). The functions of the orbitofrontal cortex. Brain and Cognition, 55(1), 11–29. https://doi.org/10.1016/S0278-2626/03/00277-X
   PubMed Web of Science ®Google Scholar
• Rolls, E. T. (2019). The cingulate cortex and limbic systems for action, emotion, and memory. In B. A. Vogt (Ed.), Cingulate cortex (Vol. 166, pp. 23–37).
   Google Scholar
• Rolls, E. T., Hornak, J., Wade, D., & McGrath, J. (1994). Emotionrelated learning in patients with social and emotional changes associated with frontal lobe damage. Journal of Neurology Neurosurgery and Psychiatry, 57(12), 1518–1524. https://doi.org/10.1136/jnnp.57.12.1518
   PubMed Web of Science ®Google Scholar
• Rueter, A. R., Abram, S. V., MacDonald, A. W., Rustichini, A., & and DeYoung, C. G. (2018). The goal priority network as a neural substrate of conscientiousness. Human Brain Mapping, 39(9), 3574–3585. https://doi.org/10.1002/hbm.24195
   PubMed Web of Science ®Google Scholar
• Sampaio, A., Soares, J. M., Coutinho, J., Sousa, N., & Goncalves, O. F. (2014). The Big Five default brain: Functional evidence. Brain Structure & Function, 219(6), 1913–1922. https://doi.org/10.1007/s00429-013-0610-y
   PubMed Web of Science ®Google Scholar
• Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Glover G. H., Kenna H., Reiss A. L., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007
   PubMed Web of Science ®Google Scholar
• Shannon, B. J., Raichle, M. E., Snyder, A. Z., Fair, D. A., Mills, K. L., Zhang, D., Bache K., Calhoun V. D., Nigg J. T., Nagel B. J., Stevens A. A., & Kiehl, K. A. (2011). Premotor functional connectivity predicts impulsivity in juvenile offenders. Proceedings of the National Academy of Sciences of the United States of America, 108(27), 11241–11245. https://doi.org/10.1073/pnas.1108241108
   PubMed Web of Science ®Google Scholar
• Shmuel, A., Leopold, D. A. J. W. S. S., & Inc., A Wiley Company. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest. Human Brain Mapping, 29(7), 751–761. https://doi.org/10.1002/hbm.20580
   PubMed Web of Science ®Google Scholar
• Slotboom, A.-M., Havill, V. L., Pavlopoulos, V., & De Fruyt, F. (1998). Developmental changes in personality descriptions of children: A cross-national comparison of parental descriptions of children. In G. A. Kohnstamm, C. F. Halverson, I. Mervielde, & V. L. Havill (Eds.), Parental descriptions of child personality: Developmental antecedents of the big five? (pp. 127–153). Erlbaum.
   Google Scholar
• Sohn, M. H., Ursu, S., Anderson, J. R., Stenger, V. A., & Carter, C. S. (2000). The role of prefrontal cortex and posterior parietal carter in task switching. Proceedings of the National Academy of Sciences of the United States of America, 97(24), 13448–13453. https://doi.org/10.1073/pnas.240460497
   PubMed Web of Science ®Google Scholar
• Suldo, S. M., Minch, D. R., & Hearon, B. V. (2015). Adolescent life satisfaction and personality characteristics: Investigating relationships using a five factor model. Journal of Happiness Studies, 16(4), 965–983. https://doi.org/10.1007/s10902-014-9544-1
   Web of Science ®Google Scholar
• Supekar, K., Musen, M., Menon, V., & Friston, K. J. (2009). Development of large-scale functional brain networks in children. Plos Biology, 7(7), e1000157. https://doi.org/10.1371/journal.pbio.1000157
   PubMed Web of Science ®Google Scholar
• Tackett, J. L. (2006). Evaluating models of the personality–psychopathology relationship in children and adolescents. Clinical Psychology Review, 26(5), 584–599. https://doi.org/10.1016/j.cpr.2006.04.003
   PubMed Web of Science ®Google Scholar
• Tackman, A. M., Srivastava, S., Pfeifer, J. H., & Dapretto, M. (2017). Development of conscientiousness in childhood and adolescence: Typical trajectories and associations with academic, health, and relationship changes. Journal of Research in Personality, 67, 85–96. https://doi.org/10.1016/j.jrp.2016.05.002
   Web of Science ®Google Scholar
• Toschi, N., Riccelli, R., Indovina, I., Terracciano, A., & Passamonti, L. (2018). Functional connectome of the five-factor model of personality. Personality Neuroscience, 1. https://doi.org/10.1017/pen.2017.2
   PubMedGoogle Scholar
• Wang, H.-Y., Hao, X., Lu, R., Li, T., Pu, L., Liu, W., & Liang, Z. (2022). Effects of trihexyphenidyl on prefrontal executive function and spontaneous neural activity in patients with tremor-dominant Parkinson’s disease: An fNIRS study. Parkinsonism & Related Disorders, 105, 96–102. https://doi.org/10.1016/j.parkreldis.2022.11.012
   PubMed Web of Science ®Google Scholar
• Wang, T., Li, Q., Guo, M., Peng, Y., Li, Q., Qin, W., & Yu, C. (2014). Abnormal functional connectivity density in children with anisometropic amblyopia at resting-state. Brain Research, 1563, 41–51. https://doi.org/10.1016/j.brainres.2014.03.015
   PubMed Web of Science ®Google Scholar
• Wang, S., Zhao, Y., Li, J., Wang, X., Luo, K., & Gong, Q. (2019). Brain structure links trait conscientiousness to academic performance. Scientific Reports, 9(1), 12168. https://doi.org/10.1038/s41598-019-48704-1
   PubMedGoogle Scholar
• Whitfield-Gabrieli, S., & Nieto-Castanon, A. J. B. C. (2012). Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connectivity, 2(3), 125–141. https://doi.org/10.1089/brain.2012.0073
   PubMedGoogle Scholar
• Yeo, B. T. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman J. L., Smoller J. W., Zöllei L., Polimeni J. R., Fischl B., & Buckner, R. L. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3), 1125–1165. https://doi.org/10.1152/jn.00338.2011
   PubMed Web of Science ®Google Scholar
• Yoshimura, S., Ueda, K., Suzuki, S.-I., Onoda, K., Okamoto, Y., & Yamawaki, S. (2009). Self-referential processing of negative stimuli within the ventral anterior cingulate gyrus and right amygdala. Brain and Cognition, 69(1), 218–225. https://doi.org/10.1016/j.bandc.2008.07.010
   PubMed Web of Science ®Google Scholar
• Zanto, T. P., & Gazzaley, A. (2013). Fronto-parietal network: Flexible hub of cognitive control. Trends in Cognitive Sciences, 17(12), 602–603. https://doi.org/10.1016/j.tics.2013.10.001
   PubMed Web of Science ®Google Scholar
• Zhao, P., Yan, R., Wang, X., Geng, J., Chattun, M. R., Wang, Q., Yao Z., & Lu, Q. (2020). Reduced resting state neural activity in the right orbital part of middle frontal gyrus in anxious depression. Frontiers in Psychiatry, 10. https://doi.org/10.3389/fpsyt.2019.00994
   Web of Science ®Google Scholar