Intellectual abilities and white matter microstructure in development: A diffusion tensor imaging study
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Higher‐order cognitive functions are supported by distributed networks of multiple interconnected cortical and subcortical regions. Efficient cognitive processing depends on fast communication between these regions, so the integrity of the connections between them is of great importance. It is known that white matter (WM) development is a slow process, continuing into adulthood. While the significance of cortical maturation for intellectual development is described, less is known about the relationships between cognitive functions and maturation of WM connectivity. In this cross‐sectional study, we investigated the associations between intellectual abilities and development of diffusion tensor imaging (DTI) derived measures of WM microstructure in 168 right‐handed participants aged 8–30 years. Independently of age and sex, both verbal and performance abilities were positively related to fractional anisotropy (FA) and negatively related to mean diffusivity (MD) and radial diffusivity (RD), predominantly in the left hemisphere. Further, verbal, but not performance abilities, were associated with developmental differences in DTI indices in widespread regions in both hemispheres. Regional analyses showed relations with both FA and RD bilaterally in the anterior thalamic radiation and the cortico‐spinal tract and in the right superior longitudinal fasciculus. In these regions, our results suggest that participants with high verbal abilities may show accelerated WM development in late childhood and a subsequent earlier developmental plateau, in contrast to a steadier and prolonged development in participants with average verbal abilities. Longitudinal data are needed to validate these interpretations. The results provide insight into the neurobiological underpinnings of intellectual development. Hum Brain Mapp, 2010. © 2010 Wiley‐Liss, Inc.
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WM characteristics may be a general factor of importance for a range of cognitive tasks, including general intellectual abilities or g.
“WM characteristics may be a general factor of importance for a range of cognitive tasks, including general intellectual abilities or g (53–56).”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [55]
Varying brain-cognition relationships across age have been shown previously.
“Varying brain–cognition relationships across age have also been shown (55, 72)”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [55]
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 6,806 · see citing works
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C., Watkins, K., Ciccarelli, O., Cader, M., Matthews, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,035 · see citing works
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 2× · see citing works
“…show sustained development of the cerebral cortex, subcortical structures, and WM from early childhood, throughout adolescence and well into adulthood [Giedd, 2004; Giorgio et al., 2010; Gogtay et al., 2004; Lebel et al., 2008; Shaw et al., 2008; Tamnes et al., in press; Østby et al., 2009].”
BackgroundNonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738 · see citing works
Demyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644 · see citing works
Structural magnetic resonance imaging of the adolescent brain
GIEDD, J. N. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.009 · Cited by 1,610 · see citing works
The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence
Jung, R. E., & Haier, R. J. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07001185 · Cited by 1,593 · see citing works
Imaging the developing brain: what have we learned about cognitive development?
CASEY, B., TOTTENHAM, N., LISTON, C., & DURSTON, S. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.01.011 · Cited by 1,556 · see citing works
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543 · see citing works
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · see citing works
Microstructural maturation of the human brain from childhood to adulthood
Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.053 · Cited by 1,398 · see citing works
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10308 · Cited by 1,229 · see citing works
Nagy, Z., Westerberg, H., & Klingberg, T. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041920441 · Cited by 794 · see citing works
Tamnes, C. K., Østby, Y., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp118 · Cited by 779 · see citing works
Self-citationMicrostructure of Temporo-Parietal White Matter as a Basis for Reading Ability
Klingberg, T., Hedehus, M., Temple, E., Salz, T., Gabrieli, J. D. E., Moseley, M. E., & Poldrack, R. A. (2000) · Neuron · doi:10.1016/s0896-6273(00)80911-3 · Cited by 729 · see citing works
Petten, C. K. V. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.04.006 · Cited by 593 · see citing works
Structural brain variation and general intelligence
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.025 · Cited by 554 · see citing works
How can we learn about developmental processes from cross-sectional studies, or can we?
Kraemer, H. C., Yesavage, J. A., Taylor, J. L., & Kupfer, D. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.2.163 · Cited by 548 · see citing works
Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI
Lerch, J. P., Worsley, K. J., Shaw, P., GREENSTEIN, D. K., Lenroot, R., Giedd, J. N., & Evans, A. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.042 · Cited by 538 · see citing works
Deary, I. J., Whalley, L. J., Lemmon, H. A., Crawford, J., & Starr, J. M. (2000) · Intelligence · doi:10.1016/s0160-2896(99)00031-8 · Cited by 495 · see citing works
Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1242-09.2009 · Cited by 480 · see citing works
Self-citationGrowth of white matter in the adolescent brain: Myelin or axon?
Paus, T. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.06.002 · Cited by 424 · see citing works
Genetics of brain fiber architecture and intellectual performance
Chiang, M.-C., Barysheva, M., Shattuck, D. W., Lee, A. D., Madsen, S. K., Avedissian, C., Klunder, A. D., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4184-08.2009 · Cited by 406 · see citing works
Longitudinal changes in grey and white matter during adolescence
Giorgio, A., Watkins, K. E., Chadwick, M., James, S., Winmill, L., Douaud, G., De Stefano, N., Matthews, P. M., Smith, S. M., Johansen-Berg, H., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.003 · Cited by 394 · see citing works
Schmithorst, V. J., Wilke, M., Dardzinski, B. J., & Holland, S. K. (2005) · Human Brain Mapping · doi:10.1002/hbm.20149 · Cited by 382 · see citing works
Skranes, J. S., Vangberg, T. R., Kulseng, S., Indredavik, M. S., Evensen, K. A. I., Martinussen, M., Dale, A. M., Haraldseth, O., & Brubakk, A. (2007) · Brain · doi:10.1093/brain/awm001 · Cited by 380 · see citing works
The association between brain volume and intelligence is of genetic origin
Posthuma, D., De Geus, E. J. C., Baaré, W. F. C., Pol, H. E. H., Kahn, R. S., & Boomsma, D. I. (2002) · Nature Neuroscience · doi:10.1038/nn0202-83 · Cited by 356 · see citing works
Relationships between IQ and Regional Cortical Gray Matter Thickness in Healthy Adults
Narr, K. L., Woods, R. P., Thompson, P. M., Szeszko, P. R., Robinson, D. G., Dimtcheva, T., Gurbani, M. N., Toga, A. W., & Bilder, R. M. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl125 · Cited by 339 · see citing works
Brain spontaneous functional connectivity and intelligence
Song, M., Zhou, Y., Li, J., Liu, Y., Tian, L., Yu, C., & Jiang, T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.036 · Cited by 338 · see citing works
Distributed brain sites for the g-factor of intelligence
Colom, R., Jung, R. E., & Haier, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.006 · Cited by 283 · see citing works
Lebel, C. A., & Beaulieu, C. (2009) · Human Brain Mapping · doi:10.1002/hbm.20779 · Cited by 281 · see citing works
Is diffusion anisotropy an accurate monitor of myelination?
Mädler, B., Drabycz, S. A., Kolind, S. H., Whittall, K. P., & MacKay, A. L. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.047 · Cited by 227 · see citing works
Ashtari, M., Cervellione, K. L., Hasan, K. M., Wu, J., McIlree, C., Kester, H. M., Ardekani, B. A., Roofeh, D., Szeszko, P. R., & Kumra, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.047 · Cited by 221 · see citing works
Mapping IQ and gray matter density in healthy young people
Frangou, S., Chitins, X., & Williams, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.027 · Cited by 221 · see citing works
Rovaris, M., Iannucci, G., Falautano, M., Possa, F., Martinelli, V., Comi, G., & Filippi, M. (2002) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(01)00690-6 · Cited by 216 · see citing works
Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation
Choi, Y. Y., Shamosh, N. A., Cho, S. H., DeYoung, C. G., Lee, M.-J., Lee, J., Kim, S. I., Cho, Z., Kim, K., Gray, J. R., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3259-08.2008 · Cited by 215 · see citing works
Gray matter correlates of fluid, crystallized, and spatial intelligence: Testing the P-FIT model
Colom, R., Haier, R. J., Head, K., Álvarez-Linera, J., Quiroga, M. Á., Shih, P. C., & Jung, R. E. (2009) · Intelligence · doi:10.1016/j.intell.2008.07.007 · Cited by 214 · see citing works
Petten, C. K. V., Plante, E., Davidson, P. S. R., Kuo, T. Y., Bajuscak, L., & Glisky, E. L. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.02.009 · Cited by 207 · see citing works
White matter integrity and cognition in childhood and old age
Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., & Wardlaw, J. M. (2006) · Neurology · doi:10.1212/01.wnl.0000199954.81900.e2 · Cited by 207 · see citing works
Neuroanatomical correlates of intelligence
Luders, E., Narr, K. L., Thompson, P. M., & Toga, A. W. (2009) · Intelligence · doi:10.1016/j.intell.2008.07.002 · Cited by 194 · see citing works
Karama, S., Ad-Dab’bagh, Y., Haier, R. J., Deary, I. J., Lyttelton, O., Lepage, C., & Evans, A. C. (2008) · Intelligence · doi:10.1016/j.intell.2008.09.006 · Cited by 181 · see citing works
Bright spots: correlations of gray matter volume with IQ in a normal pediatric population
Wilke, M., Sohn, J., Byars, A. W., & Holland, S. K. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00199-x · Cited by 166 · see citing works
Three-Dimensional Atlas of Brain White Matter Tracts
Mori, S., Wakana, S., Nagae‐Poetscher, L. M., & van Zijl, P. C. M. (2005) · Elsevier eBooks · doi:10.1016/b978-044451741-8/50003-2 · Cited by 149 · see citing works
Barnea‐Goraly, N., D, S. E. M., Hedeus, M., Menon, V., White, C. D., Moseley, M. E., & Reiss, A. L. (2003) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.10035 · Cited by 140 · see citing works
White matter tract integrity and intelligence in patients with mental retardation and healthy adults
Yu, C., Li, J., Liu, Y., Qin, W., Li, Y., Shu, N., Jiang, T., & Li, K. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.063 · Cited by 131 · see citing works
de Koning, I. (2009) · Stroke · doi:10.1161/strokeaha.109.556050 · Cited by 126 · see citing works
Nakamura, M., McCarley, R. W., Kubicki, M. R., Dickey, C. C., Niznikiewicz, M. A., Voglmaier, M. M., Seidman, L. J., Maier, S. E., Westin, C., Kikinis, R., et al. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.04.016 · Cited by 118 · see citing works
Ou, X., Sun, S., Liang, H., Song, S., & Gochberg, D. F. (2009) · NMR in Biomedicine · doi:10.1002/nbm.1358 · Cited by 90 · see citing works
Westlye, L. T., Walhovd, K. B., Bjørnerud, A., Due-Tønnessen, P., & Fjell, A. M. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn084 · Cited by 80 · see citing works
Self-citationIntelligence and the developing human brain
Shaw, P. (2007) · BioEssays · doi:10.1002/bies.20641 · Cited by 60 · see citing works
COMT val158met modulates association between brain white matter architecture and IQ
Li, J., Yu, C., Li, Y., Liu, B., Liu, Y., Shu, N., Song, M., Zhou, Y., Zhu, W., Li, K., et al. (2008) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30825 · Cited by 44 · see citing works
WAIS-III Matrix Reasoning test performance in a mixed clinical sample.
Dugbartey, A., Sanchez, P., Rosenbaum, J., Mahurin, R. K., Davis, J., & Townes, B. (1999) · Clinical Neuropsychologist · doi:10.1076/1385-4046(199911)13:04;1-y;ft396 · Cited by 41 · see citing works
Peng, S. S., Tseng, W. I., Chien, Y., Hwu, W., & Liu, H. (2004) · PubMed Central · Cited by 25 · see citing works
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- Mori S, Wakana S, Nagae-Poetscher LM, Van Zijl PCM (2005): MRI Atlas of Human White Matter. Amsterdam: Elsevier.
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Thalamocortical Connectivity Predicts Cognition in Children Born Preterm
Ball, G., Pazderova, L., Chew, A., Tusor, N., Merchant, N., Arichi, T., Allsop, J. M., Cowan, F. M., Edwards, A. D., & Counsell, S. J. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu331 · Cited by 234 · see citing works
Developmental Changes in Organization of Structural Brain Networks
Khundrakpam, B. S., Reid, A., Brauer, J., Carbonell, F., Lewis, J., Ameis, S., Karama, S., Lee, J., Chen, Z., Das, S., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs187 · Cited by 234 · see citing works
Development of Human Brain Structural Networks Through Infancy and Childhood
Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, Z. J., Rollins, N., Gong, G., Cheng, H., Peng, Y., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht335 · Cited by 223 · see citing works
Multimodal imaging of the self-regulating developing brain
Fjell, A. M., Walhovd, K. B., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Venkatraman, V., Roddey, J. C., Erhart, M., McCabe, C., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208243109 · Cited by 212 · see citing works
Self-citationWhite Matter Development in Adolescence: Diffusion Tensor Imaging and Meta-Analytic Results
Peters, B. D., Szeszko, P. R., Raduà, J., Ikuta, T., Gruner, P., DeRosse, P., Zhang, J., Giorgio, A., Qiu, D., Tapert, S. F., et al. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs054 · Cited by 203 · see citing works
Tamnes, C. K., Fjell, A. M., Westlye, L. T., Østby, Y., & Walhovd, K. B. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4779-11.2012 · Cited by 187 · see citing works
Self-citationVestergaard, M., Madsen, K. S., Baaré, W. F. C., Skimminge, A., Ejersbo, L. R., Ramsøy, T. Z., Gerlach, C., Åkeson, P., Paulson, O. B., & Jernigan, T. L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21592 · Cited by 181 · see citing works
Tamnes, C. K., Østby, Y., Walhovd, K. B., Westlye, L. T., Due-Tønnessen, P., & Fjell, A. M. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.04.024 · Cited by 183 · see citing works
Self-citationCharacterizing longitudinal white matter development during early childhood
Dean, D. C., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Walker, L., Doernberg, E., Piryatinsky, I., & Deoni, S. C. L. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0763-3 · Cited by 174 · see citing works
Cellular correlates of cortical thinning throughout the lifespan
Vidal-Pineiro, D., Parker, N., Shin, J., French, L., Grydeland, H., Jackowski, A. P., Mowinckel, A. M., Patel, Y., Pausova, Z., Salum, G., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-78471-3 · Cited by 154 · see citing works
Self-citationGenetic variation, brain, and intelligence differences
Deary, I. J., Cox, S. R., & Hill, W. D. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01027-y · Cited by 137 · see citing works
Vendetti, M. S., & Bunge, S. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.035 · Cited by 152 · see citing works
Zhao, B., Zhang, J., Ibrahim, J. G., Luo, T., Santelli, R., Li, Y., Li, T., Shan, Y., Zhu, Z., Zhou, F., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0569-z · Cited by 141 · see citing works
Burgaleta, M., Johnson, W., Waber, D. P., Colom, R., & Karama, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.038 · Cited by 151 · see citing works
Sex differences in adolescent white matter architecture
Bava, S., Boucquey, V., Goldenberg, D., Thayer, R. E., Ward, M. E., Jacobus, J., & Tapert, S. F. (2010) · Brain Research · doi:10.1016/j.brainres.2010.12.051 · Cited by 144 · see citing works
Clayden, J. D., Jentschke, S., Muñoz, M., Cooper, J. M., Chadwick, M. J., Banks, T., Clark, C., & Vargha‐Khadem, F. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr243 · Cited by 143 · see citing works
Baune, B. T., Fuhr, M., Air, T., & Hering, C. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.04.052 · Cited by 138 · see citing works
Morphometry and connectivity of the fronto-parietal verbal working memory network in development
Østby, Y., Tamnes, C. K., Fjell, A. M., & Walhovd, K. B. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.10.001 · Cited by 127 · see citing works
Self-citationFjell, A. M., Westlye, L. T., Amlien, I. K., Tamnes, C. K., Grydeland, H., Engvig, A., Espeseth, T., Reinvang, I., Lundervold, A. J., Lundervold, A. J., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht201 · Cited by 125 · see citing works
Self-citationJernigan, T. L., Baaré, W. F. C., Stiles, J., & Madsen, K. S. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53884-0.00019-1 · Cited by 118 · see citing works
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Walhovd, K. B., Watts, R., Amlien, I. K., & Woodward, L. J. (2012) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2012.04.008 · Cited by 110 · see citing works
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Wang, Y., Adamson, C. L., Yuan, W., Altaye, M., Rajagopal, A., Byars, A. W., & Holland, S. K. (2012) · Brain Research · doi:10.1016/j.brainres.2012.08.038 · Cited by 108 · see citing works
Wendelken, C., Ferrer, E. E., Ghetti, S., Bailey, S., Cutting, L. E., & Bunge, S. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3726-16.2017 · Cited by 105 · see citing works
Pandit, A. S., Robinson, E. C., Aljabar, P., Ball, G., Gousias, I. S., Wang, Z., Hajnal, J. V., Rueckert, D., Counsell, S. J., Montana, G., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht086 · Cited by 98 · see citing works
Adolescent brain development, risk-taking and vulnerability to addiction
Dayan, J., Bernard, A., Olliac, B., Mailhes, A.-S., & Kermarrec, S. (2010) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2010.08.007 · Cited by 101 · see citing works
James, A. C., Hough, M., James, S., Winmill, L., Burge, L., Nijhawan, S., Matthews, P. M., & Zarei, M. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2011.02.014 · Cited by 94 · see citing works
Pohl, K. M., Sullivan, E. V., Rohlfing, T., Chu, W., Kwon, D., Nichols, B. N., Zhang, Y., Brown, S. A., Tapert, S. F., Cummins, K., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.061 · Cited by 85 · see citing works
Goddings, A., Roalf, D. R., Lebel, C. A., & Tamnes, C. K. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101008 · Cited by 89 · see citing works
Self-citationJames, A. C., Hough, M., James, S., Burge, L., Winmill, L., Nijhawan, S., Matthews, P. M., & Zarei, M. (2011) · Bipolar Disorders · doi:10.1111/j.1399-5618.2011.00891.x · Cited by 81 · see citing works
Children's intellectual ability is associated with structural network integrity
Kim, D., Davis, E. P., Sandman, C. A., Sporns, O., O’Donnell, B. F., Buß, C., & Hetrick, W. P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.012 · Cited by 77 · see citing works
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Geeraert, B. L., Lebel, R. M., & Lebel, C. (2019) · Human Brain Mapping · doi:10.1002/hbm.24706 · Cited by 69 · see citing works
White matter correlates of cognitive inhibition during development: A diffusion tensor imaging study
Treit, S., Chen, Z., Rasmussen, C., & Beaulieu, C. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.019 · Cited by 73 · see citing works
Koenis, M. M. G., Brouwer, R. M., Swagerman, S. C., van Soelen, I. L. C., Boomsma, D. I., & Pol, H. E. H. (2017) · Human Brain Mapping · doi:10.1002/hbm.23885 · Cited by 68 · see citing works
Saxena, K., Tamm, L., Walley, A., Simmons, A., Rollins, N. K., Chia, J., Soares, J. C., Emslie, G. J., Fan, X., & Huang, H. (2012) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2011.0063 · Cited by 69 · see citing works
Differential Brain Development with Low and High IQ in Attention-Deficit/Hyperactivity Disorder
de Zeeuw, P., Schnack, H., van Belle, J., Weusten, J., van Dijk, S. C., Langen, M., Brouwer, R., van Engeland, H., & Durston, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035770 · Cited by 65 · see citing works
White matter disruptions in patients with bipolar disorder
Abramovic, L., Boks, M. P., Vreeker, A., Verkooijen, S., van Bergen, A. H., Ophoff, R. A., Kahn, R. S., & van Haren, N. E. M. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.01.001 · Cited by 66 · see citing works
Myelin copper and the cuprizone model of schizophrenia
Konradi, C. (2010) · Frontiers in Bioscience-Scholar · doi:10.2741/s129 · Cited by 67 · see citing works
Østby, Y., Tamnes, C. K., Fjell, A. M., & Walhovd, K. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr116 · Cited by 61 · see citing works
Self-citationBroce, I., Bernal, B., Altman, N. R., Tremblay, P., & Dick, A. S. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.06.006 · Cited by 59 · see citing works
Brain Structural Networks Associated with Intelligence and Visuomotor Ability
Yoon, Y. B., Shin, W.-G., Lee, T. Y., Hur, J., Cho, K. I. K., Sohn, W. S., Kim, S., Lee, K.-H., & Kwon, J. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-02304-z · Cited by 56 · see citing works
Ziegler, G., Dahnke, R., Winkler, A. D., & Christian Gaser, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.088 · Cited by 55 · see citing works
Koshiyama, D., Fukunaga, M., Okada, N., Morita, K., Nemoto, K., Yamashita, F., Yamamori, H., Yasuda, Y., Matsumoto, J., Fujimoto, M., et al. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.135349 · Cited by 57 · see citing works
The brain dynamics of intellectual development: Waxing and waning white and gray matter
Tamnes, C. K., Fjell, A. M., Østby, Y., Westlye, L. T., Due-Tønnessen, P., Bjørnerud, A., & Walhovd, K. B. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.09.012 · Cited by 55 · see citing works
Self-citationLee, S. J., Steiner, R. J., Yu, Y., Short, S. J., Neale, M. C., Styner, M. A., Zhu, H., & Gilmore, J. H. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604658114 · Cited by 51 · see citing works
Sex differences in brain volume are related to specific skills, not to general intelligence
Burgaleta, M., Head, K., Álvarez‐Linera, J., Martínez, K., Escorial, S., Haier, R. J., & Colom, R. (2011) · Intelligence · doi:10.1016/j.intell.2011.10.006 · Cited by 55 · see citing works
Simpson-Kent, I. L., Fuhrmann, D., Bathelt, J., Achterberg, J., Borgeest, G. S., the CALM Team, & Kievit, R. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100743 · Cited by 55 · see citing works
Walhovd, K. B., Bjørnebekk, A., Haabrekke, K., Siqveland, T. S., Slinning, K., Nygaard, E., Fjell, A. M., Due‐Tønnessen, P., Bjørnerud, A., & Moe, V. (2014) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2014.11.008 · Cited by 49 · see citing works
Self-citationEnvironmental Toxicants and the Developing Brain
Wylie, A. C., & Short, S. J. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.01.007 · Cited by 48 · see citing works
Altered white matter development in children born very preterm
Young, J. M., Vandewouw, M. M., Morgan, B. R., Smith, M. L., Sled, J. G., & Taylor, M. J. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1614-4 · Cited by 48 · see citing works
Sexual Dimorphism in White Matter Developmental Trajectories Using Tract-Based Spatial Statistics
Seunarine, K. K., Clayden, J. D., Jentschke, S., Muñoz, M., Cooper, J. M., Chadwick, M. J., Banks, T., Vargha‐Khadem, F., & Clark, C. A. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0340 · Cited by 45 · see citing works
Uban, K. A., Herting, M. M., Wozniak, J. R., & Sowell, E. R. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.05.019 · Cited by 46 · see citing works
Structural changes after videogame practice related to a brain network associated with intelligence
Colom, R., Quiroga, M. Á., Solana, A. B., Burgaleta, M., Román, F. J., Privado, J., Escorial, S., Martínez, K., Álvarez‐Linera, J., Alfayate, E., et al. (2012) · Intelligence · doi:10.1016/j.intell.2012.05.004 · Cited by 46 · see citing works
Individual Differences in White Matter Microstructure in the Healthy Brain
Scholz, J., Tomassini, V., & Johansen‐Berg, H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00014-7 · Cited by 42 · see citing works
Acute Diffusion Tensor and Kurtosis Imaging and Outcome following Mild Traumatic Brain Injury
Stenberg, J., Eikenes, L., Moen, K. G., Vik, A., Haberg, A. K., & Skandsen, T. (2021) · Journal of Neurotrauma · doi:10.1089/neu.2021.0074 · Cited by 39 · see citing works
Physical Activity, Fitness, and Executive Functions in Youth: Effects, Moderators, and Mechanisms
Lubans, D. R., Leahy, A. A., Mavilidi, M. F., & Valkenborghs, S. R. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_271 · Cited by 44 · see citing works
England-Mason, G., Grohs, M. N., Reynolds, J. E., MacDonald, A. M., Kinniburgh, D. W., Liu, J., Martin, J. W., Lebel, C. A., & Dewey, D. (2019) · Environmental Research · doi:10.1016/j.envres.2019.109093 · Cited by 37 · see citing works
How robust is the relationship between neural processing speed and cognitive abilities?
Schubert, A., Löffler, C., Hagemann, D., & Sadus, K. (2022) · Psychophysiology · doi:10.1111/psyp.14165 · Cited by 35 · see citing works
Vijayakumar, N., Whittle, S., Yücel, M., Dennison, M., Simmons, J. G., & Allen, N. B. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00549 · Cited by 35 · see citing works
Wang, S., Fan, G., Ke Cheng, X. U., & Wang, C. (2012) · European Journal of Radiology · doi:10.1016/j.ejrad.2012.06.032 · Cited by 31 · see citing works
Brain Imaging and Neurodevelopment in HIV-uninfected Thai Children Born to HIV-infected Mothers
Jahanshad, N., Couture, M.-C., Prasitsuebsai, W., Nir, T. M., Aurpibul, L., Thompson, P. M., Pruksakaew, K., Lerdlum, S., Visrutaratna, P., Catella, S., et al. (2015) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000000774 · Cited by 30 · see citing works
Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis
Kocevar, G., Suprano, I., Stamile, C., Hannoun, S., Fourneret, P., Revol, O., Nusbaum, F., & Sappey‐Marinier, D. (2018) · Intelligence · doi:10.1016/j.intell.2018.12.003 · Cited by 30 · see citing works
Westerhausen, R., Friesen, C.-M., Rohani, D. A., Krogsrud, S. K., Tamnes, C. K., Skranes, J. S., Haberg, A. K., Fjell, A. M., & Walhovd, K. B. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1493-0 · Cited by 29 · see citing works
Self-citationAdolescent Behaviors and Cerebral Development: Psychoanalysis and the Neurosciences
Dayan, J., & Guillery-Girard, B. (2013) · Adolescence · doi:10.3917/ado.077.0479 · Cited by 30 · see citing works
Development of white matter pathways in typically developing preadolescent children
Muftuler, L. T., Davis, E. P., Buß, C., Solodkin, A., Su, M., Head, K., Hasso, A. N., & Sandman, C. A. (2012) · Brain Research · doi:10.1016/j.brainres.2012.05.035 · Cited by 28 · see citing works
Schubert, A., Hagemann, D., Löffler, C., Rummel, J., & Arnau, S. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000865 · Cited by 27 · see citing works
Yang, M., Yao, Z., & Hsieh, S. (2019) · Human Brain Mapping · doi:10.1002/hbm.24550 · Cited by 26 · see citing works
Functional networks and structural connectivity of visuospatial and visuoperceptual working memory
Sala‐Llonch, R., Palacios, E. M., Junqué, C., BargallÃ, N., & Vendrell, P. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00340 · Cited by 26 · see citing works
Characterization of a normal control group: Are they healthy?
Aine, C. J., Sanfratello, L., Adair, J. C., Knoefel, J. E., Qualls, C., Lundy, S. L., Caprihan, A., Stone, D., & Stephen, J. M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.025 · Cited by 26 · see citing works
Making Brains run Faster: are they Becoming Smarter?
Pahor, A., & Jaušovec, N. (2016) · The Spanish Journal of Psychology · doi:10.1017/sjp.2016.83 · Cited by 23 · see citing works
Network specialization during adolescence: Hippocampal effective connectivity in boys and girls
Riley, J. D., Chen, E. E., Winsell, J., Davis, E. P., Glynn, L. M., Baram, T. Z., Sandman, C. A., Small, S. L., & Solodkin, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.013 · Cited by 23 · see citing works
Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction
Lombardi, A., Amoroso, N., Diacono, D., Monaco, A., Tangaro, S., & Bellotti, R. (2020) · Brain Sciences · doi:10.3390/brainsci10060364 · Cited by 24 · see citing works
Simos, P. G., Rezaie, R., Papanicolaou, A. C., & Fletcher, J. M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00932 · Cited by 22 · see citing works
Suprano, I., Kocevar, G., Stamile, C., Hannoun, S., Fourneret, P., Revol, O., Nusbaum, F., & Sappey‐Marinier, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-76528-x · Cited by 22 · see citing works
Kumpulainen, V., Copeland, A., Pulli, E. P., Silver, E. A., Kataja, E., Saukko, E., Merisaari, H., Lewis, J. D., Karlsson, L., Karlsson, H., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.014 · Cited by 18 · see citing works
Media Violence Effects on Brain Development: What Neuroimaging Has Revealed and What Lies Ahead
Hummer, T. A. (2015) · American Behavioral Scientist · doi:10.1177/0002764215596553 · Cited by 17 · see citing works
Suprano, I., Delon‐Martin, C., Kocevar, G., Stamile, C., Hannoun, S., Achard, S., Badhwar, A., Fourneret, P., Revol, O., Nusbaum, F., et al. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00241 · Cited by 16 · see citing works
White matter alterations and cognitive outcomes in children born very low birth weight
Sato, J., Vandewouw, M. M., Bando, N., Branson, H. M., O’Connor, D. L., Unger, S. L., & Taylor, M. J. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102843 · Cited by 16 · see citing works
Hummer, T. A., Kronenberger, W. G., Wang, Y., Anderson, C. C., & Mathews, V. P. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.04.010 · Cited by 16 · see citing works
Robust associations between white matter microstructure and general intelligence
Stammen, C., Fraenz, C., Grazioplene, R. G., Schlüter, C., Merhof, V., Johnson, W., Güntürkün, O., DeYoung, C. G., & Genç, E. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac538 · Cited by 14 · see citing works
Benda, M. S., Stewart, A., Rueppel, M., Gülgöz, S., & Roy, A. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-96023-6.00104-4 · Cited by 17 · see citing works
Ellmore, T. M., Li, H., Xue, Z., Wong, S. T. C., & Frye, R. E. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000325 · Cited by 14 · see citing works
Bohlken, M. M., Brouwer, R. M., Mandl, R. C. W., Hedman, A. M., van den Heuvel, M. P., van Haren, N. E. M., Kahn, R. S., & Pol, H. E. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.046 · Cited by 14 · see citing works
McDonald, B. C., Hummer, T. A., & Dunn, D. W. (2012) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.10.013 · Cited by 13 · see citing works
Zuo, N., Salami, A., Liu, H., Yang, Z., & Jiang, T. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.006 · Cited by 13 · see citing works
The neural code of intelligence: From correlation to causation
Jaušovec, N. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.10.005 · Cited by 11 · see citing works
Warton, F. L., Taylor, P. A., Warton, C. M. R., Molteno, C. D., Wintermark, P., Zöllei, L., van der Kouwe, A. J. W., Jacobson, J. L., Jacobson, S. W., & Meintjes, E. M. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22784 · Cited by 11 · see citing works
Development of Neural Networks Supporting Goal‐Directed Behavior
Johnson, E. L., Munro, S. E., & Bunge, S. A. (2013) · Wiley eBooks · doi:10.1002/9781118732373.ch2 · Cited by 12 · see citing works
Detrended connectometry analysis to assess white matter correlates of performance in childhood
Williamson, B. J., Altaye, M., & Kadis, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.043 · Cited by 8 · see citing works
Diffusion-Weighted Imaging of Intelligence
Genç, E., & Fraenz, C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108635462.014 · Cited by 8 · see citing works
Genome-Wide Association Analysis of Neonatal White Matter Microstructure
Zhang, J., Xia, K., Ahn, M., Jha, S. C., Blanchett, R., Crowley, J. J., Szatkiewicz, J., Zou, F., Hongtu Zhu, B., Styner, M. A., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa266 · Cited by 5 · see citing works
Pediatric MEG: Investigating Spatio-Temporal Connectivity of Developing Networks
Ciesielski, K. T. R., & Stephen, J. M. (2014) · Springer eBooks · doi:10.1007/978-3-642-33045-2_24 · Cited by 7 · see citing works
Wang, S.-M., Wen, H., Huang, F., Sun, C.-W., Huang, C., & Wang, S. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103758 · Cited by 6 · see citing works
Cough-Anal Reflex May Be the Expression of a Pre-Programmed Postural Action
Cavallari, P., Bolzoni, F., Esposti, R., & Bruttini, C. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00475 · Cited by 6 · see citing works
Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study
Page, D., Buchanan, C. R., Moodie, J. E., Harris, M. A., Taylor, A. M., Hernández, M. D. C. V., Maniega, S. M., Corley, J., Bastin, M. E., Wardlaw, J. M., et al. (2024) · Cortex · doi:10.1016/j.cortex.2024.06.007 · Cited by 5 · see citing works
Jiang, L., Han, X., Wang, Y., Ding, W., Sun, Y., Zhou, Y. F., & Lin, F. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00963-x · Cited by 4 · see citing works
Schubert, A., & Hagemann, D. (2020) · Journal of Intelligence · doi:10.3390/jintelligence8030029 · Cited by 3 · see citing works
Is Early Bilingual Experience Associated with Greater Fluid Intelligence in Adults?
D’Souza, D., & Dakhch, Y. (2022) · Languages · doi:10.3390/languages7020100 · Cited by 3 · see citing works
Individualized prediction of future cognition based on developmental changes in cortical anatomy
Khundrakpam, B. S., Booij, L., Jeon, S., Karama, S., Tohka, J., & Evans, A. C. (2022) · Neuroimage Reports · doi:10.1016/j.ynirp.2022.100127 · Cited by 3 · see citing works
Kokubun, K., Nemoto, K., & Yamakawa, Y. (2025) · Brain and Behavior · doi:10.1002/brb3.70334 · Cited by 3 · see citing works
- Authors
- Tamnes, C. K., Østby, Y., Walhovd, K. B., Westlye, L. T., Due‐Tønnessen, P., & Fjell, A. M.
- Affiliations
- University of Oslo (NO)
- Oslo University Hospital (NO)
- Corresponding author
- Tamnes, Christian K.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2010-02-16
- Volume
- 31
- Issue
- 10
- Pages
- 1609-1625
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871099
- OpenAlex
- W2152533400
- Cited by
- 126
- References
- 60
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 9 · 2020: 8 · 2019: 12 · 2018: 8 · 2017: 8 · 2016: 5 · 2015: 8 · 2014: 8 · 2013: 11 · 2012: 12
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Universitetet i Oslo
- Norges Forskningsråd (177404, 170837/V50, 186092/V50, 177404/W50, 186092)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- intellectual ability, white matter development, white matter microstructure, fractional anisotropy, mean diffusivity, radial diffusivity, verbal ability, performance capacity, cognitive development, anterior thalamic radiation, corticospinal tract, superior longitudinal fasciculus, left hemisphere
- MeSH terms
- Adolescent, Adult, Brain, Child, Cross-Sectional Studies, Female, Humans, Intelligence, Intelligence Tests, Male, Nerve Fibers, Myelinated, Neuropsychological Tests, Young Adult, Diffusion Tensor Imaging
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