Development of brain structural connectivity between ages 12 and 30: a 4-tesla diffusion imaging study in 439 adolescents and adults
Open accessAbstract
Understanding how the brain matures in healthy individuals is critical for evaluating deviations from normal development in psychiatric and neurodevelopmental disorders. The brain's anatomical networks are profoundly re-modeled between childhood and adulthood, and diffusion tractography offers unprecedented power to reconstruct these networks and neural pathways in vivo. Here we tracked changes in structural connectivity and network efficiency in 439 right-handed individuals aged 12 to 30 (211 female/126 male adults, mean age=23.6, SD=2.19; 31 female/24 male 12 year olds, mean age=12.3, SD=0.18; and 25 female/22 male 16 year olds, mean age=16.2, SD=0.37). All participants were scanned with high angular resolution diffusion imaging (HARDI) at 4 T. After we performed whole brain tractography, 70 cortical gyral-based regions of interest were extracted from each participant's co-registered anatomical scans. The proportion of fiber connections between all pairs of cortical regions, or nodes, was found to create symmetric fiber density matrices, reflecting the structural brain network. From those 70 × 70 matrices we computed graph theory metrics characterizing structural connectivity. Several key global and nodal metrics changed across development, showing increased network integration, with some connections pruned and others strengthened. The increases and decreases in fiber density, however, were not distributed proportionally across the brain. The frontal cortex had a disproportionate number of decreases in fiber density while the temporal cortex had a disproportionate number of increases in fiber density. This large-scale analysis of the developing structural connectome offers a foundation to develop statistical criteria for aberrant brain connectivity as the human brain matures.
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After birth until adulthood, the brain network reshapes to improve integration capacity, with decreased modularity and decreased small-worldness.
“After birth until adulthood, the brain network reshapes to improve integration capacity with the reconfigurations of decreased modularity and decreased small-worldness”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Dennis et al., 2013
The Discussion reports decreasing small-worldness and modularity with age and says the network changes suggest increased structural integration. But the study examined people aged 12–30, so it does not establish that this pattern occurs throughout the period from birth to adulthood. (LLM, conf=0.87)
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Sex differences in the structural connectome of the human brain
Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. E., Gur, R. C., & Verma, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316909110 · Cited by 1,223 · see citing works
An Integrative Model of the Maturation of Cognitive Control
Luna, B., Marek, S., Larsen, B., Tervo-Clemmens, B., & Chahal, R. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034054 · Cited by 550 · see citing works
Holzman, J. B., & Bridgett, D. J. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.032 · Cited by 449 · see citing works
Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance
Malone, I. B., Leung, K. K., Clegg, S., Barnes, J., Whitwell, J. L., Ashburner, J., Fox, N. C., & Ridgway, G. R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.034 · Cited by 452 · see citing works
Effect of alcohol use on the adolescent brain and behavior
Lees, B., Meredith, L. R., Kirkland, A. E., Bryant, B. E., & Squeglia, L. M. (2020) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2020.172906 · Cited by 411 · see citing works
Baum, G. L., Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.051 · Cited by 401 · see citing works
Eliot, L., Ahmed, A., Khan, H., & Patel, J. Y. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.026 · Cited by 351 · see citing works
Lebel, C., Treit, S., & Beaulieu, C. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3778 · Cited by 379 · see citing works
Unraveling the Miswired Connectome: A Developmental Perspective
Martino, A. D., Fair, D. A., Kelly, C. A. M., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R. C., Luna, B., LEVENTHAL, B. L., Zuo, X., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.050 · Cited by 346 · see citing works
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
“hood, the brain network reshapes to improve integration capacity with the reconfigurations of decreased modularity and decreased small-worldness [91, 133, 206, 227, 502].”
BackgroundImmordino‐Yang, M. H., Darling‐Hammond, L., & Krone, C. R. (2019) · Educational Psychologist · doi:10.1080/00461520.2019.1633924 · Cited by 348 · see citing works
Engel, J., Jr., Thompson, P. M., Stern, J. M., Staba, R. J., Bragin, A., & Módy, I. (2013) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32835ee5b8 · Cited by 274 · see citing works
Self-citationTortoriello, G., Morris, C. V., Alpár, A., Fuzik, J., Shirran, S. L., Calvigioni, D., Keimpema, E., Botting, C. H., Reinecke, K., Herdegen, T., et al. (2014) · The EMBO Journal · doi:10.1002/embj.201386035 · Cited by 255 · see citing works
The development of brain network hubs
Oldham, S., & Fornito, A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.005 · Cited by 244 · see citing works
Assessment of system dysfunction in the brain through MRI-based connectomics
Filippi, M., van den Heuvel, M. P., Fornito, A., Yong He, A., Pol, H. E. H., Agosta, F., Comı, G., & Rocca, M. A. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70144-3 · Cited by 215 · see citing works
Vértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197 · see citing works
Fischi-Gómez, E., Vasung, L., Meskaldji, D. E., Lazeyras, F., Borradori-Tolsa, C., Hagmann, P., Barisnikov, K., Thiran, J., & Hüppi, P. S. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu073 · Cited by 196 · see citing works
Is “efficiency” a useful concept in cognitive neuroscience?
Poldrack, R. A. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.06.001 · Cited by 186 · see citing works
Miskovic, V., Ma, X., Chou, C.-A., Fan, M., Owens, M., Sayama, H., & Gibb, B. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.013 · Cited by 175 · see citing works
Daianu, M., Jahanshad, N., Nir, T. M., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, F. T. A. D. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0137 · Cited by 173 · see citing works
Self-citationDevelopmental changes in brain network hub connectivity in late adolescence
Baker, S. T. E., Lubman, D. I., Yucel, M., Allen, N. B., Whittle, S., Fulcher, B. D., Zalesky, A., & Fornito, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5043-14.2015 · Cited by 168 · see citing works
Tamnes, C. K., Roalf, D. R., Goddings, A., & Lebel, C. A. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.12.002 · Cited by 155 · see citing works
Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder
Cao, M., Shu, N., Cao, Q., Wang, Y., & Yong He, A. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8685-x · Cited by 153 · see citing works
Toward Developmental Connectomics of the Human Brain
Cao, M., Huang, H., Peng, Y., Dong, Q., & Yong He, A. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00025 · Cited by 147 · see citing works
Lim, S. I., Han, C. E., Uhlhaas, P. J., & Kaiser, M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht333 · Cited by 141 · see citing works
Intelligence is associated with the modular structure of intrinsic brain networks
Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2017) · Scientific Reports · doi:10.1038/s41598-017-15795-7 · Cited by 132 · see citing works
Structural connectivity asymmetry in the neonatal brain
Ratnarajah, N., Rifkin-Graboi, A., Fortier, M. V., Chong, Y. S., Kwek, K., Saw, S.-M., Godfrey, K. M., Gluckman, P. D., Meaney, M. J., & Qiu, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.052 · Cited by 124 · see citing works
Typical and atypical brain development: a review of neuroimaging studies
Dennis, E. L., & Thompson, P. M. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/edennis · Cited by 121 · see citing works
Self-citationThe impact of in-scanner head motion on structural connectivity derived from diffusion MRI
Baum, G. L., Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunç, B., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.041 · Cited by 116 · see citing works
Short-range connections in the developmental connectome during typical and atypical brain maturation
Ouyang, M., Kang, H., Detre, J. A., Roberts, T. P. L., & Huang, H. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.10.007 · Cited by 116 · see citing works
Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2016) · Intelligence · doi:10.1016/j.intell.2016.11.001 · Cited by 107 · see citing works
Espinosa, M. P., & KovářÃk, J. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00088 · Cited by 111 · see citing works
Hemispheric lateralization of topological organization in structural brain networks
Caeyenberghs, K., & Leemans, A. (2014) · Human Brain Mapping · doi:10.1002/hbm.22524 · Cited by 106 · see citing works
Diffusion MRI in the brain – Theory and concepts
Tournier, J. (2019) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2019.03.001 · Cited by 99 · see citing works
Sun, Y., Lee, R., Yu, C., Collinson, S. L., Thakor, N. V., Bezerianos, A., & Sim, K. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118857 · Cited by 94 · see citing works
Sex differences in brain plasticity: a new hypothesis for sex ratio bias in autism
Mottron, L., Duret, P., Mueller, S., Moore, R. D., d’Arc, B. F., Jacquemont, S., & Xiong, L. (2015) · Molecular Autism · doi:10.1186/s13229-015-0024-1 · Cited by 97 · see citing works
Brain connectivity in normally developing children and adolescents
Khundrakpam, B. S., Lewis, J. D., Zhao, L., Chouinard-Decorte, F., & Evans, A. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.062 · Cited by 91 · see citing works
Yuan, W., Wade, S. L., & Babcock, L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22664 · Cited by 88 · see citing works
Structural Connectivity Networks of Transgender People
Hahn, A., Kranz, G. S., Küblböck, M., Kaufmann, U., Ganger, S., Hummer, A., Seiger, R., Spies, M., Winkler, D., Kasper, S. F., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu194 · Cited by 87 · see citing works
A DTI-based template-free cortical connectome study of brain maturation
Tymofiyeva, O., Hess, C. P., Ziv, E., Lee, P. N., Glass, H. C., Ferriero, D. M., Barkovich, A. J., & Xu, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063310 · Cited by 86 · see citing works
The modular organization of brain cortical connectivity across the human lifespan
Puxeddu, M. G., Faskowitz, J., Betzel, R. F., Petti, M., Laura Astolfi, A., & Sporns, O. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116974 · Cited by 85 · see citing works
Dall’Acqua, P., Johannes, S., Mica, L., Simmen, H., Glaab, R., Fandino, J., Schwendinger, M., Meier, C., Ulbrich, E. J., Müller, A. F., et al. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00280 · Cited by 84 · see citing works
Mapping connectivity in the developing brain
Dennis, E. L., & Thompson, P. M. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.05.007 · Cited by 79 · see citing works
Self-citationTopological turning points across the human lifespan
Mousley, A., Bethlehem, R. A. I., Yeh, F.-C. F., & Astle, D. E. (2025) · Nature Communications · doi:10.1038/s41467-025-65974-8 · Cited by 91 · see citing works
Graph theoretical analysis of developmental patterns of the white matter network
Chen, Z., Liu, M., Gross, D. W., & Beaulieu, C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00716 · Cited by 77 · see citing works
Cai, L., Dong, Q., & Niu, H. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.003 · Cited by 76 · see citing works
Early childhood development of white matter fiber density and morphology
Dimond, D., Rohr, C. S., Smith, R. E., Dhollander, T., Cho, I., Lebel, C. A., Dewey, D., Connelly, A., & Bray, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116552 · Cited by 74 · 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
Koenis, M. M. G., Brouwer, R. M., van den Heuvel, M. P., Mandl, R. C. W., van Soelen, I. L. C., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H. (2015) · Human Brain Mapping · doi:10.1002/hbm.22988 · Cited by 71 · see citing works
Richmond, S., Johnson, K. A., Seal, M. L., Allen, N. B., & Whittle, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.024 · Cited by 70 · see citing works
Thompson, D. K., Chen, J., Beare, R. J., Adamson, C. L., Ellis, R., Ahmadzai, Z. M., Kelly, C. E., Lee, K. J., Zalesky, A., Yang, J. Y., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.070 · Cited by 65 · see citing works
Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder
Zhang, R., Shao, R., Xu, G., Lu, W., Zheng, W., Miao, Q., Chen, K., Gao, Y., Bi, Y., Guan, L., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24608 · Cited by 64 · see citing works
CAMFIELD, P. R., Camfield, C., Busiah, K., Cohen, D., Pack, A. M., & Nabbout, R. (2017) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2016.11.009 · Cited by 64 · see citing works
The organisation of the elderly connectome
Perry, A., Wen, W. X., Lord, A., Thalamuthu, A., Roberts, G. M. P., Mitchell, P. B., Sachdev, P. S., & Breakspear, M. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.009 · Cited by 59 · see citing works
Longer gestation is associated with more efficient brain networks in preadolescent children
Kim, D., Davis, E. P., Sandman, C. A., Sporns, O., O’Donnell, B. F., Buß, C., & Hetrick, W. P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.048 · Cited by 62 · see citing works
Dennis, E. L., Jahanshad, N., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22292 · Cited by 62 · see citing works
Self-citationA Network Neuroscience Approach to Typical and Atypical Brain Development
Morgan, S. E., White, S. R., Bullmore, E. T., & Vértes, P. E. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.003 · Cited by 63 · see citing works
The development of brain network architecture
Wierenga, L. M., van den Heuvel, M. P., van Dijk, S., Rijks, Y., de Reus, M. A., & Durston, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.23062 · Cited by 58 · see citing works
Lees, B., Garcia, A. M., Debenham, J., Kirkland, A. E., Bryant, B. E., Mewton, L. R., & Squeglia, L. M. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108500 · Cited by 58 · see citing works
Otte, W. M., Diessen, E. G. A. L. V., Paul, S., Ramaswamy, R., Rallabandi, V. P. S., Stam, C. J., & Roy, P. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.011 · Cited by 55 · see citing works
Hu, L., Xiao, M., Ai, M., Wang, W., Chen, J., Zhaojun, T., Cao, J., & Kuang, L. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.06.057 · Cited by 56 · see citing works
Easson, A. K., & McIntosh, A. R. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100630 · Cited by 53 · see citing works
Structural MRI connectome in development: challenges of the changing brain
Tymofiyeva, O., Hess, C. P., Xu, D., & Barkovich, A. J. (2014) · British Journal of Radiology · doi:10.1259/bjr.20140086 · Cited by 54 · see citing works
Reduced Default Mode Connectivity in Adolescents With Conduct Disorder
Broulidakis, M. J., Fairchild, G. F., Sully, K., Blumensath, T., Darekar, A., & Sonuga-Barke, E. J. S. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.05.021 · Cited by 53 · see citing works
Sun, Y., Yu, C., Lee, R., Bezerianos, A., Collinson, S. L., & Sim, K. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.01.025 · Cited by 50 · see citing works
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Truelove-Hill, M., Erus, G., Bashyam, V. M., Varol, E., Sako, C., Gur, R., Gur, R. E., Koutsouleris, N., Zhuo, C., Fan, Y., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2092-19.2019 · Cited by 45 · see citing works
zhong, J., Chen, D. Q., Hung, P. S.-P., Hayes, D. J., Liang, K. E., Davis, K. D., & Hodaie, M. (2018) · Pain · doi:10.1097/j.pain.0000000000001312 · Cited by 46 · see citing works
Bayesian exponential random graph modeling of whole-brain structural networks across lifespan
Sinke, M. R. T., Dijkhuizen, R. M., Caimo, A., Stam, C. J., & Otte, W. M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.066 · Cited by 45 · see citing works
Soman, S. M., Vijayakumar, N., Thomson, P., Ball, G., Hyde, C. E., & Silk, T. J. (2023) · Human Brain Mapping · doi:10.1002/hbm.26288 · Cited by 41 · see citing works
Autism as the Early Closure of a Neuroplastic Critical Period Normally Seen in Adolescence
Berger, J. M., Rohn, T. T., & Oxford, J. T. (2012) · Biological Systems Open Access · doi:10.4172/2329-6577.1000118 · Cited by 41 · see citing works
Bos, D. J., Merchán‐Naranjo, J., Martínez, K., Pina‐Camacho, L., Balsa, I., Boada, L., Schnack, H. G., Oranje, B., Desco, M., Arango, C., et al. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2015.05.011 · Cited by 41 · see citing works
A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children
Wierenga, L. M., van den Heuvel, M. P., Oranje, B., Giedd, J. N., Durston, S., Peper, J. S., Brown, T. T., Crone, E. A., & The Pediatric Longitudinal Imaging, N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23833 · Cited by 44 · see citing works
Graph theory analysis of DTI tractography in children with traumatic injury
Watson, C. G., DeMaster, D., & Ewing‐Cobbs, L. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101673 · Cited by 41 · see citing works
Fine-grained functional parcellation maps of the infant cerebral cortex
Wang, F., Zhang, H., Wu, Z., Hu, D., Zhou, Z., Girault, J. B., Wang, L., Lin, W., & Li, G. (2023) · eLife · doi:10.7554/elife.75401 · Cited by 40 · see citing works
Muñoz‐Moreno, E., Fischi-Gómez, E., Batallé, D., Borradori-Tolsa, C., Eixarch, E., Thiran, J., Gratacós, E., & Hüppi, P. S. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00560 · Cited by 39 · see citing works
Wang, T., Shi, F., Jin, Y., Yap, P., Chong-yaw Wee, A., Zhang, J., Yang, C., Li, X., Xiao, S., & Shen, D. G. (2016) · Neural Plasticity · doi:10.1155/2016/2947136 · Cited by 38 · see citing works
Automatic clustering and population analysis of white matter tracts using maximum density paths
Prasad, G., Joshi, S. H., Jahanshad, N., Villalón‐Reina, J. E., Aganj, I., Lenglet, C., Sapiro, G., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.033 · Cited by 37 · see citing works
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Cai, L., Dong, Q., Wang, M., & Niu, H. (2019) · Neurophotonics · doi:10.1117/1.nph.6.2.025005 · Cited by 36 · see citing works
Foo, H., Mather, K. A., Jiang, J., Thalamuthu, A., Wen, W. X., & Sachdev, P. S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.011 · Cited by 35 · see citing works
Development of short‐range white matter in healthy children and adolescents
Oyefiade, A. A., Ameis, S. H., Lerch, J. P., Rockel, C. P., Szulc, K. U., Scantlebury, N., Decker, A. L., Jefferson, J., Spichak, S., & Mabbott, D. (2017) · Human Brain Mapping · doi:10.1002/hbm.23836 · Cited by 32 · see citing works
Structure and Function of Large-Scale Brain Systems
Koziol, L. F., Barker, L. A., Joyce, A. W., & Hrin, S. (2014) · Applied Neuropsychology Child · doi:10.1080/21622965.2014.946797 · Cited by 31 · see citing works
A developmental angle to understanding the mechanisms of biased cognitions in social anxiety
Haller, S. P., Kadosh, K. C., & Lau, J. Y. F. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00846 · Cited by 32 · see citing works
Mualem, R., Morales-Quezada, L., Farraj, R. H., Shance, S., Bernshtein, D. H., Cohen, S., Mualem, L., Salem, N., Yehuda, R. R., Zbedat, Y., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1376075 · Cited by 48 · see citing works
The emergence of long-range language network structural covariance and language abilities
Qi, T., Schaadt, G., Cafiero, R., Bräuer, J., Skeide, M. A., & Friederici, A. D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.014 · Cited by 29 · see citing works
Children's academic attainment is linked to the global organization of the white matter connectome
Bathelt, J., Gathercole, S. E., Butterfield, S., the CALM team, & Astle, D. E. (2018) · Developmental Science · doi:10.1111/desc.12662 · Cited by 30 · see citing works
Ball, G., Beare, R. J., & Seal, M. L. (2019) · Human Brain Mapping · doi:10.1002/hbm.24726 · Cited by 27 · see citing works
Future Directions for Examination of Brain Networks in Neurodevelopmental Disorders
Uddin, L. Q., & Karlsgodt, K. H. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1443461 · Cited by 30 · see citing works
Larsen, B., Verstynen, T., Yeh, F.-C. F., & Luna, B. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx162 · Cited by 28 · see citing works
Connectome development and a novel extension to the neurodevelopmental model of schizophrenia
Collin, G., & Keshavan, M. S. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/gcollin · Cited by 29 · see citing works
Integrative Models of Brain Structure and Dynamics: Concepts, Challenges, and Methods
Venkadesh, S., & Horn, J. D. V. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.752332 · Cited by 25 · see citing works
Yip, S. W., & Potenza, M. N. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.11.003 · Cited by 28 · see citing works
Brain asymmetry: a novel perspective on hemispheric network
Wang, B., Yang, L., Yan, W., An, W., Xiang, J., & Li, D. (2023) · Brain Science Advances · doi:10.26599/bsa.2023.9050014 · Cited by 28 · see citing works
Network-based approaches to examining stress in the adolescent brain
Ho, T. C., Dennis, E. L., Thompson, P. M., & Gotlib, I. H. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.05.002 · Cited by 26 · see citing works
Self-citationAbnormal structural connectivity in the brain networks of children with hydrocephalus
Yuan, W., Holland, S. K., Shimony, J. S., Altaye, M., Mangano, F. T., Limbrick, D. D., Jones, B. V., Nash, T. A., Rajagopal, A., Simpson, S., et al. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.015 · Cited by 26 · see citing works
High Angular Resolution Diffusion Imaging
Farquharson, S., & Tournier, J. (2015) · Springer eBooks · doi:10.1007/978-1-4939-3118-7_20 · Cited by 27 · see citing works
Tymofiyeva, O., Ziv, E., Barkovich, A. J., Hess, C. P., & Xu, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096196 · Cited by 25 · see citing works
Chronic Cannabis Use and Axonal Fiber Connectivity
Solowij, N., Zalesky, A., Lorenzetti, V., & Yücel, M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-800756-3.00046-6 · Cited by 24 · see citing works
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- Authors
- Dennis, E. L., Jahanshad, N., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- The University of Queensland (AU)
- QIMR Berghofer Medical Research Institute (AU)
- The University of Sydney (AU)
- Corresponding author
- Thompson, Paul M.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 64
- Pages
- 671-684
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3603574
- OpenAlex
- W1859137208
- Cited by
- 222
- References
- 75
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 15 · 2023: 8 · 2022: 13 · 2021: 9 · 2020: 23 · 2019: 13 · 2018: 14 · 2017: 25 · 2016: 22 · 2015: 18 · 2014: 23 · 2013: 16 · 2012: 1
- FWCI
- 14.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Funders
- National Health and Medical Research Council (1009064, 389875, 486682)
- U.S. National Library of Medicine (T15 LM07356)
- National Institute of Child Health and Human Development (R01 HD050735)
- National Institutes of Health (T32MH073526-06, P41 RR013642, EB008432, EB008281, EB007813)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- structural brain connectivity, brain maturation, structural connectome, network metrics, fiber density, cortical networks, frontal cortex, temporal cortex, adolescents, young adults, tractography
- MeSH terms
- Adolescent, Adult, Aging, Algorithms, Cerebral Cortex, Child, Female, Humans, Image Interpretation, Computer-Assisted, Male, Nerve Fibers, Myelinated, Sensitivity and Specificity, Reproducibility of Results, Young Adult, Diffusion Tensor Imaging, Connectome
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