참고문헌
- Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013). Imaging structural co-variance between human brain regions. Nature Reviews Neuroscience, 14(5), 322-336. https://doi.org/10.1038/nrn3465
- Basten, U., Hilger, K., & Fiebach, C. J. (2015). Where smart brains are different: a quantitative meta-analysis of functional and structural brain imaging studies on intelligence. Intelligence, 51, 10-27. https://doi.org/10.1016/j.intell.2015.04.009
- Bickart, K. C., Wright, C. I., Dautoff, R. J., Dickerson, B. C., & Barrett, L. F. (2011). Amygdala volume and social network size in humans. Nature neuroscience, 14(2), 163. https://doi.org/10.1038/nn.2724
- Brant, A. M., Munakata, Y., Boomsma, D. I., DeFries, J. C., Haworth, C. M., Keller, M. C., ... & Wadsworth, S. J. (2013). The nature and nurture of high IQ: an extended sensitive period for intellectual development. Psychological science, 24(8), 1487-1495. https://doi.org/10.1177/0956797612473119
- Burgaleta, M., Johnson, W., Waber, D. P., Colom, R., & Karama, S. (2014). Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents. NeuroImage, 84, 810-819. https://doi.org/10.1016/j.neuroimage.2013.09.038
- Cole, M. W., Yarkoni, T., Repovš, G., Anticevic, A., & Braver, T. S. (2012). Global connectivity of prefrontal cortex predicts cognitive control and intelligence. Journal of Neuroscience, 32(26), 8988-8999. https://doi.org/10.1523/JNEUROSCI.0536-12.2012
- Colom, R., Karama, S., Jung, R. E., & Haier, R. J. (2010). Human intelligence and brain networks. Dialogues in clinical neuroscience, 12(4), 489.
- Deary, I. J., Penke, L., & Johnson, W. (2010). The neuroscience of human intelligence differences. Nature Reviews Neuroscience, 11(3), 201-211. https://doi.org/10.1038/nrn2793
- Dumontheil, I., Hassan, B., Gilbert, S. J., & Blakemore, S. J. (2010). Development of the selection and manipulation of self-generated thoughts in adolescence. Journal of Neuroscience, 30(22), 7664-7671. https://doi.org/10.1523/JNEUROSCI.1375-10.2010
- 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
- Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., ... & Rapoport, J. L. (1999). Brain development during childhood and adolescence: a longitudinal MRI study. Nature neuroscience, 2(10), 861-863. https://doi.org/10.1038/13158
- Giedd, J. N., Lenroot, R. K., Shaw, P., Lalonde, F., Celano, M., White, S., ... & Gogtay, N. (2008). Trajectories of anatomic brain development as a phenotype. In Novartis Foundation Symposium (Vol. 289, p. 101). NIH Public Access.
- Giedd, J. N., & Rapoport, J. L. (2010). Structural MRI of pediatric brain development: what have we learned and where are we going?. Neuron, 67(5), 728-734. https://doi.org/10.1016/j.neuron.2010.08.040
- Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., ... & Rapoport, J. L. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National academy of Sciences of the United States of America, 101(21), 8174-8179. https://doi.org/10.1073/pnas.0402680101
- Goh, S., Bansal, R., Xu, D., Hao, X., Liu, J., & Peterson, B. S. (2011). Neuroanatomical correlates of intellectual ability across the life span. Developmental cognitive neuroscience, 1(3), 305-312. https://doi.org/10.1016/j.dcn.2011.03.001
- Gray, J. R., & Thompson, P. M. (2004). Neurobiology of intelligence: science and ethics. Nature Reviews Neuroscience, 5(6), 471. https://doi.org/10.1038/nrn1405
- Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2004). Structural brain variation and general intelligence. Neuroimage, 23(1), 425-433. https://doi.org/10.1016/j.neuroimage.2004.04.025
- Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2005). The neuroanatomy of general intelligence: sex matters. NeuroImage, 25(1), 320-327. https://doi.org/10.1016/j.neuroimage.2004.11.019
- Hedman, A. M., van Haren, N. E., Schnack, H. G., Kahn, R. S., Pol, H., & Hilleke, E. (2012). Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies. Human brain mapping, 33(8), 1987-2002. https://doi.org/10.1002/hbm.21334
- Im, K., Lee, J. M., Yoon, U., Shin, Y. W., Hong, S. B., Kim, I. Y., ... & Kim, S. I. (2006). Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area. Human brain mapping, 27(12), 994-1003. https://doi.org/10.1002/hbm.20238
- Ivanovic, D. M., Leiva, B. P., Perez, H. T., Olivares, M. G., Diaz, N. S., Urrutia, M. S. C., ... & Larrai n, C. G. (2004). Head size and intelligence, learning, nutritional status and brain development: head, IQ, learning, nutrition and brain. Neuropsychologia, 42(8), 1118-1131. https://doi.org/10.1016/j.neuropsychologia.2003.11.022
- Jung, R. E., & Haier, R. J. (2007). The Parieto-Frontal Integration Theory (P-FIT) of intelligence:converging neuroimaging evidence. Behavioral and Brain Sciences, 30(2), 135-154. https://doi.org/10.1017/S0140525X07001185
- Kanai, R., & Rees, G. (2011). The structural basis of inter-individual differences in human behaviour and cognition. Nature Reviews Neuroscience, 12(4), 231-242. https://doi.org/10.1038/nrn3000
- Karama, S., Ad-Dab'bagh, Y., Haier, R. J., Deary, I. J., Lyttelton, O. C., Lepage, C., ... & Brain Development Cooperative Group. (2009). Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds. Intelligence, 37(2), 145. https://doi.org/10.1016/j.intell.2008.09.006
- Khundrakpam, B. S., Lewis, J. D., Reid, A., Karama, S., Zhao, L., Chouinard-Decorte, F., ... & Brain Development Cooperative Group. (2017). Imaging structural covariance in the development of intelligence. Neuroimage, 144, 227-240. https://doi.org/10.1016/j.neuroimage.2016.08.041
- Lange, N., Froimowitz, M. P., Bigler, E. D., Lainhart, J. E., & Brain Development Cooperative Group. (2010). Associations between IQ, total and regional brain volumes, and demography in a large normative sample of healthy children and adolescents. Developmental neuropsychology, 35(3), 296-317. https://doi.org/10.1080/87565641003696833
- Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., ... & Thompson, P. M. (2007). Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage, 36(4), 1065-1073. https://doi.org/10.1016/j.neuroimage.2007.03.053
- Lerch, J. P., Worsley, K., Shaw, W. P., Greenstein, D. K., Lenroot, R. K., Giedd, J., & Evans, A. C. (2006). Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. Neuroimage, 31(3), 993-1003. https://doi.org/10.1016/j.neuroimage.2006.01.042
- Li, Y., Liu, Y., Li, J., Qin, W., Li, K., Yu, C., & Jiang, T. (2009). Brain anatomical network and intelligence. PLoS computational biology, 5(5), e1000395. https://doi.org/10.1371/journal.pcbi.1000395
- Luders, E., Narr, K. L., Bilder, R. M., Szeszko, P. R., Gurbani, M. N., Hamilton, L., ... & Gaser, C. (2007). Mapping the relationship between cortical convolution and intelligence: effects of gender. Cerebral Cortex, 18(9), 2019-2026. https://doi.org/10.1093/cercor/bhm227
- Luders, E., Narr, K. L., Thompson, P. M., & Toga, A. W. (2009). Neuroanatomical correlates of intelligence. Intelligence, 37(2), 156-163. https://doi.org/10.1016/j.intell.2008.07.002
- Lyttelton O, Boucher M, Robbins S, Evans A. (2007). An unbiased iterative group registration template for cortical surface analysis. Neuroimage, 34, 1535-1544. https://doi.org/10.1016/j.neuroimage.2006.10.041
- Mackintosh, N. J. (2011). IQ and Human Intelligence. Oxford University Press.
- McDaniel, M. A. (2005). Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33(4), 337-346. https://doi.org/10.1016/j.intell.2004.11.005
- Mechelli, A., Friston, K. J., Frackowiak, R. S., & Price, C. J. (2005a). Structural covariance in the human cortex. Journal of Neuroscience, 25(36), 8303-8310. https://doi.org/10.1523/JNEUROSCI.0357-05.2005
- Mechelli, A., Price, C. J., Friston, K. J., & Ashburner, J. (2005b). Voxel-based morphometry of the human brain: methods and applications. Current medical Imaging reviews, 1(2), 105-113. https://doi.org/10.2174/1573405054038726
- Menary, K., Collins, P. F., Porter, J. N., Muetzel, R., Olson, E. A., Kumar, V., ... & Luciana, M. (2013). Associations between cortical thickness and general intelligence in children, adolescents and young adults. Intelligence, 41(5), 597-606. https://doi.org/10.1016/j.intell.2013.07.010
- Narr, K. L., Woods, R. P., Thompson, P. M., Szeszko, P., Robinson, D., Dimtcheva, T., ... & Bilder, R. M. (2006). Relationships between IQ and regional cortical gray matter thickness in healthy adults. Cerebral cortex, 17(9), 2163-211.
- Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012). Neural correlates of socioeconomic status in the developing human brain. Developmental science, 15(4), 516-527. https://doi.org/10.1111/j.1467-7687.2012.01147.x
- Panizzon, M. S., Fennema-Notestine, C., Eyler, L. T., Jernigan, T. L., Prom-Wormley, E., Neale, M., ... & Xian, H. (2009). Distinct genetic influences on cortical surface area and cortical thickness. Cerebral cortex, 19(11), 2728-2735. https://doi.org/10.1093/cercor/bhp026
- Price, C. J., Ramsden, S., Hope, T. M. H., Friston, K. J., & Seghier, M. L. (2013). Predicting IQ change from brain structure: a cross-validation study. Developmental cognitive neuroscience, 5, 172-184. https://doi.org/10.1016/j.dcn.2013.03.001
- Querbes, O., Aubry, F., Pariente, J., Lotterie, J. A., Demonet, J. F., Duret, V., ... & Alzheimer's Disease Neuroimaging Initiative. (2009). Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve. Brain, 132(8), 2036-2047. https://doi.org/10.1093/brain/awp105
- Ramsden, S., Richardson, F. M., Josse, G., Thomas, M. S., Ellis, C., Shakeshaft, C., et al. (2011). Verbal and non-verbal intelligence changes in the teenage brain. Nature, 479(7371), 113-116. https://doi.org/10.1038/nature10514
- Raizada, R. D. S., & Kishiyama, M. M. (2010). Effects of Socioeconomic Status on Brain Development, and How Cognitive Neuroscience May Contribute to Levelling the Playing Field. Frontiers in Human Neuroscience, 4, 3.
- Rogers, J., Kochunov, P., Zilles, K., Shelledy, W., Lancaster, J., Thompson, P., ... & Glahn, D. C. (2010). On the genetic architecture of cortical folding and brain volume in primates. Neuroimage, 53(3), 1103-1108. https://doi.org/10.1016/j.neuroimage.2010.02.020
- Raznahan, A., & Bolton, P. (2008). Autism spectrum disorder in childhood. Medicine, 36(9), 489-492. https://doi.org/10.1016/j.mpmed.2008.07.005
- Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., ... & Giedd, J. N. (2011). How does your cortex grow? Journal of Neuroscience, 31(19), 7174-7177. https://doi.org/10.1523/JNEUROSCI.0054-11.2011
- Rushton, J. P., & Ankney, C. D. (2009). Whole brain size and general mental ability: a review. International Journal of Neuroscience, 119(5), 692-732. https://doi.org/10.1080/00207450802325843
- Schmithorst, V. J., Wilke, M., Dardzinski, B. J., & Holland, S. K. (2005). Cognitive functions correlate with white matter architecture in a normal pediatric population: a diffusion tensor MRI study. Human brain mapping, 26(2), 139-147. https://doi.org/10.1002/hbm.20149
- Schmithorst, V. J., & Holland, S. K. (2006). Functional MRI evidence for disparate developmental processes underlying intelligence in boys and girls. Neuroimage, 31(3), 1366-1379. https://doi.org/10.1016/j.neuroimage.2006.01.010
- Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N. E. E. A., ... & Giedd, J. (2006). Intellectual ability and cortical development in children and adolescents. Nature, 440(7084), 676-679. https://doi.org/10.1038/nature04513
- Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., ... & Giedd, J. N. (2008). Neurodevelopmental trajectories of the human cerebral cortex. Journal of Neuroscience, 28(14), 3586-3594. https://doi.org/10.1523/JNEUROSCI.5309-07.2008
- Song, M., Zhou, Y., Li, J., Liu, Y., Tian, L., Yu, C., & Jiang, T. (2008). Brain spontaneous functional connectivity and intelligence. Neuroimage, 41(3), 1168-1176. https://doi.org/10.1016/j.neuroimage.2008.02.036
- Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004). Longitudinal mapping of cortical thickness and brain growth in normal children. Journal of Neuroscience, 24(38), 8223-8231. https://doi.org/10.1523/JNEUROSCI.1798-04.2004
- Tamnes, C. K., Fjell, A. M., Ostby, Y., Westlye, L. T., Due-Tonnessen, P., Bjornerud, A., & Walhovd, K. B. (2011). The brain dynamics of intellectual development: waxing and waning white and gray matter. Neuropsychologia, 49(13), 3605-3611. https://doi.org/10.1016/j.neuropsychologia.2011.09.012
- van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Pol, H. E. H. (2009). Efficiency of functional brain networks and intellectual performance. Journal of Neuroscience, 29(23), 7619-7624. https://doi.org/10.1523/JNEUROSCI.1443-09.2009
- Wechsler, D. (2014). Wechsler intelligence scale for children-fifth edition. Bloomington, MN: Pearson.
- Wilke, M., Sohn, J. H., Byars, A. W., and Holland, S. K. (2003). Brightspots: correlations of gray matter volume with IQ in a normal pediatric population. Neuroimage 20, 202-215. https://doi.org/10.1016/S1053-8119(03)00199-X
- Yang, J. J., Yoon, U., Yun, H. J., Im, K., Choi, Y. Y., Lee, K. H., ... & Lee, J. M. (2013). Prediction for human intelligence using morphometric characteristics of cortical surface: partial least square analysis. Neuroscience, 246, 351-361. https://doi.org/10.1016/j.neuroscience.2013.04.051
- Zilles, K., Armstrong, E., Moser, K. H., Schleicher, A., & Stephan, H. (1989). Gyrification in the cerebral cortex of primates. Brain, Behavior and Evolution, 34(3), 143-150.
- Zielinski, B. A., Gennatas, E. D., Zhou, J., & Seeley, W. W. (2010). Network-level structural covariance in the developing brain. Proceedings of the National Academy of Sciences, 107(42), 18191-18196. https://doi.org/10.1073/pnas.1003109107