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Structural and Maturational Covariance in Early Childhood Brain Development
Open accessAbstract
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altered in neuropsychiatric disease and change with age. Little is known about the development of SCNs in early childhood, a period of rapid cortical growth. We investigated the development of structural and maturational covariance networks, including default, dorsal attention, primary visual and sensorimotor networks in a longitudinal population of 118 children after birth to 2 years old and compared them with intrinsic functional connectivity networks. We found that structural covariance of all networks exhibit strong correlations mostly limited to their seed regions. By Age 2, default and dorsal attention structural networks are much less distributed compared with their functional maps. The maturational covariance maps, however, revealed significant couplings in rates of change between distributed regions, which partially recapitulate their functional networks. The structural and maturational covariance of the primary visual and sensorimotor networks shows similar patterns to the corresponding functional networks. Results indicate that functional networks are in place prior to structural networks, that correlated structural patterns in adult may arise in part from coordinated cortical maturation, and that regional co-activation in functional networks may guide and refine the maturation of SCNs over childhood development.
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“These trends are consistent with the presence of basic somatosensory and visual functions at birth, and help contextualize findings that primary sensory regions are generally the first cortical areas to reach plateaus or peaks in growth (Geng et al., 2016; Gilmore et al., 2012; Lyall et al., 2015; Scott et al., 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Geng et al., 2016
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Cites
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
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Synaptic Activity and the Construction of Cortical Circuits
Katz, L. C., & Shatz, C. J. (1996) · Science · doi:10.1126/science.274.5290.1133 · Cited by 3,048
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
The social brain in adolescence
Blakemore, S.-J. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2353 · Cited by 1,896
Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI
Yong He, A., Chen, Z. J., & Evans, A. C. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl149 · Cited by 1,367
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314
Pantelis, C., Velakoulis, D., McGorry, P. D., Wood, S. J., John Suckling, A., Phillips, L., Yung, A. R., Bullmore, E. T., Brewer, W. J., Soulsby, B., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12323-9 · Cited by 1,309
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia
Bassett, D. S., Bullmore, E. T., Verchinski, B. A., Mattay, V. S., Weinberger, D. R., & Meyer‐Lindenberg, A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1929-08.2008 · Cited by 1,231
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Knickmeyer, R. C., Gouttard, S., Kang, C., Evans, D., Wilber, K., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., & Gilmore, J. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3479-08.2008 · Cited by 1,151
Self-citationImaging structural co-variance between human brain regions
Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
He, Y., Chen, Z., & Evans, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0141-08.2008 · Cited by 965
Mapping early brain development in autism
Courchesne, E., Pierce, K., Schumann, C. M., Redcay, E., Buckwalter, J. A., Kennedy, D. P., & Morgan, J. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.016 · Cited by 860
Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712
The Development of Visual Attention in Infancy
Colombo, J. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.337 · Cited by 673
Structural covariance in the human cortex
Mechelli, A., Friston, K. J., Frackowiak, R. S., & Price, C. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0357-05.2005 · Cited by 606
Gao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., & Lin, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811221106 · Cited by 601
Self-citationMapping 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 548
Hazlett, H. C., Poe, M. D., Gerig, G., Styner, M., Chappell, C., Smith, R. G., Vachet, C., & Piven, J. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.39 · Cited by 481
The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks
Alexander‐Bloch, A. F., Raznahan, A., Bullmore, E. T., & Giedd, J. N. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3554-12.2013 · Cited by 471
Bernhardt, B. C., Chen, Z., Yong He, A., Evans, A. C., & Bernasconi, N. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq291 · Cited by 469
Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years
Gilmore, J. H., Shi, F., Woolson, S. L., Knickmeyer, R. C., Short, S. J., Lin, W., Zhu, H., Hamer, R. M., Styner, M., & Shen, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr327 · Cited by 456
Self-citationNetworks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429
Functional and structural mapping of human cerebral cortex: solutions are in the surfaces.
van Essen, D., Drury, H., Joshi, S., & Miller, M. I. (1998) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.95.3.788 · Cited by 411
Network-level structural covariance in the developing brain
Zielinski, B. A., Gennatas, E. D., Zhou, J., & Seeley, W. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003109107 · Cited by 405
Correlated Size Variations in Human Visual Cortex, Lateral Geniculate Nucleus, and Optic Tract
Andrews, T. J., Halpern, S. D., & Purves, D. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-08-02859.1997 · Cited by 380
Gao, W., Alcauter, S., Elton, A., Hernandez-Castillo, C. R., Smith, J. K., Ramirez, J., & Lin, W. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu088 · Cited by 380
Self-citationDynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood
Lyall, A. E., Shi, F., Geng, X., Woolson, S., Li, G., Wang, L., Hamer, R. M., Shen, D., & Gilmore, J. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu027 · Cited by 376
Self-citationA convergent functional architecture of the insula emerges across imaging modalities
Kelly, C., Toro, R., Di Martino, A., Cox, C. L., Bellec, P., Castellanos, F. X., & Milham, M. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.021 · Cited by 374
Gong, G., Yong He, A., Chen, Z. J., & Evans, A. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.017 · Cited by 334
Gu, H., Salmeron, B. J., Ross, T. J., Geng, X., Wang, Z., Stein, E. A., & Yang, Y. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.066 · Cited by 306
Self-citationRaznahan, A., Lerch, J. P., Lee, N., Greenstein, D. K., Wallace, G. L., Stockman, M., CLASEN, L. S., Shaw, P. W., & Giedd, J. N. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.028 · Cited by 304
Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants
Qiu, A., Anh, T. T., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., Gluckman, P. D., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.3 · Cited by 282
Bullmore, E. T., Frangou, S., & Murray, R. M. (1997) · Schizophrenia Research · doi:10.1016/s0920-9964(97)00114-x · Cited by 263
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
Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age
Li, G., Nie, J., Wang, L., Shi, F., Lin, W., Gilmore, J. H., & Shen, D. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs265 · Cited by 220
Self-citationWright, I. C., Ellison, Z., Sharma, T., Friston, K. J., Murray, R. M., & McGuire, P. K. (1999) · Schizophrenia Research · doi:10.1016/s0920-9964(98)00094-2 · Cited by 219
Genetic topography of brain morphology
Chen, C.-H., Fiecas, M., Gutiérrez, E. D., Panizzon, M. S., Eyler, L. T., Vuoksimaa, E., Thompson, W. K., Fennema-Notestine, C., Hagler, D. J., Jernigan, T. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308091110 · Cited by 217
Quantitative tract-based white matter development from birth to age 2 years
Geng, X., Gouttard, S., Sharma, A., Gu, H., Styner, M., Lin, W., Gerig, G., & Gilmore, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.057 · Cited by 212
Self-citationFunctional and structural architecture of the human dorsal frontoparietal attention network
Szczepanski, S. M., Pinsk, M. A., Douglas, M. M., Kastner, S., & Saalmann, Y. B. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313903110 · Cited by 208
Schmitt, J. E., Lenroot, R., Wallace, G. L., Ordaz, S. J., Taylor, K. N., Kabani, N. J., GREENSTEIN, D. K., Lerch, J. P., Kendler, K. S., Neale, M. C., et al. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm211 · Cited by 197
SOME MODELS FOR DEVELOPMENT, GROWTH, AND MORPHOMETRIC CORRELATION
Riska, B. (1986) · Evolution · doi:10.1111/j.1558-5646.1986.tb05753.x · Cited by 197
Gao, W., Gilmore, J. H., Shen, D., Smith, J. K., Zhu, H., & Lin, W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs043 · Cited by 194
Self-citationChen, Z. J., Yong He, A., Rosa‐Neto, P., Gong, G., & Evans, A. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.010 · Cited by 165
LABEL: Pediatric brain extraction using learning-based meta-algorithm
Shi, F., Wang, L., Dai, Y., Gilmore, J. H., Lin, W., & Shen, D. G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.042 · Cited by 160
Self-citationGeneral multivariate linear modeling of surface shapes using SurfStat
Chung, M. K., Worsley, K. J., Nacewicz, B. M., Dalton, K. M., & Davidson, R. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.032 · Cited by 159
The impact of aging on gray matter structural covariance networks
Montembeault, M., Joubert, S., Doyon, J., Carrier, J., Gagnon, J., Monchi, O., Lungu, O., Belleville, S., & Brambati, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.052 · Cited by 139
Cortical Thickness Is Influenced by Regionally Specific Genetic Factors
Rimol, L. M., Panizzon, M. S., Fennema‐Notestine, C., Eyler, L. T., Fischl, B. R., Franz, C. E., Hagler, D. J., Lyons, M. J., Neale, M. C., Pacheco, J. L., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.032 · Cited by 134
Genetic Influences on Cortical Regionalization in the Human Brain
Chen, C., Panizzon, M. S., Eyler, L. T., Jernigan, T. L., Thompson, W., Fennema‐Notestine, C., Jak, A. J., Neale, M. C., Franz, C. E., Hamza, S., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.021 · Cited by 129
Li, G., Nie, J., Wang, L., Shi, F., Gilmore, J. H., Lin, W., & Shen, D. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.038 · Cited by 127
Self-citationKnickmeyer, R. C., Styner, M. A., Short, S. J., Lubach, G. R., Kang, C., Hamer, R. M., Coe, C. L., & Gilmore, J. H. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp166 · Cited by 119
Self-citationFolding of the Cerebral Cortex in Mammals
Prothero, J. W., & Sundsten, J. W. (2008) · Brain Behavior and Evolution · doi:10.1159/000121313 · Cited by 114
Gilmore, J. H., Kang, C., Evans, D. D., Wolfe, H. M., Smith, J. K., Lieberman, J. A., Lin, W., Hamer, R. M., Styner, M., & Gerig, G. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101492 · Cited by 97
Self-citationLongitudinally guided level sets for consistent tissue segmentation of neonates
Wang, L., Shi, F., Yap, P., Lin, W., Gilmore, J. H., & Shen, D. G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21486 · Cited by 79
Self-citationAge-related changes in brain structural covariance networks
Li, X., Pu, F., Fan, Y., Niu, H., Li, S., & Li, D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00098 · Cited by 76
Functional and structural mapping of human cerebral cortex: solutions are in the surfaces.
Essen, D. C. V., Drury, H. A., Joshi, S. C., & Miller, M. I. (2000) · PubMed · Cited by 70
Clos, M., Rottschy, C., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.030 · Cited by 63
Heinze, K., Reniers, R. L. E. P., Nelson, B., Yung, A. R., Lin, A. P., Harrison, B. J., Pantelis, C., Velakoulis, D., McGorry, P. D., & Wood, S. J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.10.023 · Cited by 56
Xiong (1999) · doi:10.1002/(sici)1097-0193(1999)8:2/3
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Metadata
- Authors
- Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H., & Gilmore, J. H.
- Affiliations
- University of Hong Kong (HK)
- University of North Carolina at Chapel Hill (US)
- Korea University (KR)
- Corresponding author
- Geng, Xiujuan
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-02-13
- Volume
- 27
- Issue
- 3
- Pages
- bhw022
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC6059236
- OpenAlex
- W2324745214
- Cited by
- 175
- References
- 68
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 12 · 2023: 9 · 2022: 10 · 2021: 15 · 2020: 84 · 2019: 10 · 2018: 13 · 2017: 5 · 2016: 1
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cerebral Cortex (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- UNC Libraries
- Funders
- NIH
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- structural covariance networks, early childhood brain development, cortical maturation, default mode network, dorsal attention network, sensorimotor network, functional connectivity, longitudinal neuroimaging
- MeSH terms
- Brain, Child Development, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Magnetic Resonance Imaging, Male, Neural Pathways, Organ Size, Sex Characteristics
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