Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y
Open accessAbstract
Significance: The integrity or microstructure of white matter as determined by diffusion tensor imaging (DTI) is related to cognitive function. Most studies focus on individual tracts, even though the microstructure of white matter tracts throughout the brain is highly correlated. In older adults, a common property of white matter predicts cognitive function, though it is not known if common factors are present in early childhood development or how they relate to cognitive function. Here, we found that DTI-based common underlying factors that emerge at this age are significantly related to cognitive abilities from birth to age 2 y. These findings indicate that the functional specialization of cognition and the anatomical differentiation of fibers cooccur in the neonatal and infant brain.
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Diffusion properties of white-matter tracts are highly correlated at birth, but this correlation decreases with development as tracts mature and differentiate.
“The diffusion properties of white-matter tracts are highly correlated with each other at birth, but this correlation decreases with development as tracts mature and differentiate38.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [38]
Factors describing common variation of FA, AD, or RD across groups of white matter tracts are weakly related to cognitive development in an age-specific way.
“Factors that describe common variation of FA, AD or RD across groups of white matter tracts are weakly related to cognitive development in an age-specific way”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [38]
A common factor of AD across 12 white matter tracts at birth is associated with cognitive development at age 1 year.
“a common factor of AD across 12 white matter tracts at birth is associated with cognitive development at age 1 year.38.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [38]
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R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · 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
psych: Procedures for Personality and Psychological Research
Revelle, W. (2017) · Cited by 3,439 · see citing works
Mullen Scales of Early Learning
Bradley‐Johnson, S. (1997) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199710)34:4 · Cited by 2,329 · 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
MVN: An R Package for Assessing Multivariate Normality
Korkmaz, S., Göksülük, D., & Zararsız, G. (2014) · The R Journal · doi:10.32614/rj-2014-031 · Cited by 1,301 · see citing works
Hofer, S., & Frahm, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.044 · Cited by 1,197 · see citing works
Repairing Tom Swift's Electric Factor Analysis Machine
Preacher, K. J., & MacCallum, R. C. (2003) · Understanding Statistics · doi:10.1207/s15328031us0201_02 · Cited by 860 · see citing works
Dubois, J., Dehaene-Lambertz, G., Kulikova, S., Poupon, C., Hüppi, P. S., & Hertz-Pannier, L. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.044 · Cited by 851 · see citing works
Jones, D. K. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20033 · Cited by 776 · see citing works
Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works
Energy statistics: A class of statistics based on distances
Székely, G. J., & Rizzo, M. L. (2013) · Journal of Statistical Planning and Inference · doi:10.1016/j.jspi.2013.03.018 · Cited by 695 · see citing works
Mullen Scales of Early Learning: Ags Edition
Dumont, R., & Willis, J. O. (2008) · Encyclopedia of Special Education · doi:10.1002/9780470373699.speced1402 · Cited by 667 · see citing works
Diffusion tensor imaging of cerebral white matter integrity in cognitive aging
Madden, D. J., Bennett, I. J., Burzynska, A. Z., Potter, G. G., Chen, N., & Song, A. W. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.003 · Cited by 469 · see citing works
Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey
LaMantia, A., & RAKIC, P. T. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902910404 · Cited by 420 · see citing works
Penke, L., Maniega, S. M., Murray, C., Gow, A. J., Valdés Hernández, M. C., Clayden, J. D., Starr, J. M., Wardlaw, J. M., Bastin, M. E., & Deary, I. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1553-10.2010 · Cited by 336 · see citing works
Looney, C. B., Smith, J. K., Merck, L. H., Wolfe, H. M., Chescheir, N. C., Hamer, R. M., & Gilmore, J. H. (2006) · Radiology · doi:10.1148/radiol.2422060133 · Cited by 330 · see citing works
Self-citationBrain white matter tract integrity as a neural foundation for general intelligence
Penke, L., Maniega, S. M., Bastin, M. E., Hernández, M. C. V., Murray, C. L., Royle, N. A., Starr, J. M., Wardlaw, J. M., & Deary, I. J. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.66 · Cited by 303 · see citing works
Gao, W., Lin, W., Chen, Y., Gerig, G., Smith, J. K., Jewells, V. L., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1363 · Cited by 299 · see citing works
Self-citationDTIPrep: quality control of diffusion-weighted images
Oğuz, İ., Farzinfar, M., Matsui, J., Budin, F., Liu, Z., Gerig, G., Johnson, H. J., & Styner, M. A. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00004 · Cited by 261 · see citing works
Self-citationWhite matter development during adolescence as shown by diffusion MRI
Schmithorst, V. J., & Yuan, W. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.06.005 · Cited by 249 · see citing works
Szczepankiewicz, F., Lasič, S., van Westen, D., Sundgren, P. C., Englund, E. M., Westin, C., Ståhlberg, F., Lätt, J., Topgaard, D., & Nilsson, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.057 · Cited by 245 · see citing works
Blokland, G. A. M., de Zubicaray, G. I., McMahon, K. L., & Wright, M. J. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.11 · Cited by 221 · see citing works
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 · see citing works
Self-citationGroup analysis of DTI fiber tract statistics with application to neurodevelopment
Goodlett, C., Fletcher, P. T., Gilmore, J. H., & Gerig, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.060 · Cited by 184 · see citing works
Self-citationWhite matter development and early cognition in babies and toddlers
O'Muircheartaigh, J., Dean, D. C., Ginestet, C. E., Walker, L., Waskiewicz, N., Lehman, K., Dirks, H., Piryatinsky, I., & Deoni, S. C. L. (2014) · Human Brain Mapping · doi:10.1002/hbm.22488 · Cited by 183 · see citing works
Ni, H., Kavcic, V., Zhu, T., EKHOLM, S. E., & Zhong, J. (2006) · PubMed Central · Cited by 176 · see citing works
White matter correlates of cognitive domains in normal aging with diffusion tensor imaging
Sasson, E., Doniger, G. M., Pasternak, O., Tarrasch, R., & Assaf, Y. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00032 · Cited by 159 · see citing works
White matter maturation profiles through early childhood predict general cognitive ability
Deoni, S. C. L., O’Muircheartaigh, J., Elison, J. T., Walker, L., Doernberg, E., Waskiewicz, N., Dirks, H., Piryatinsky, I., Dean, D. C., & Jumbe, N. L. (2016) · Brain Structure and Function · doi:10.1007/s00429-014-0947-x · Cited by 147 · 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
Genetic and environmental contributions to neonatal brain structure: A twin study
Gilmore, J. H., Schmitt, J. E., Knickmeyer, R. C., Smith, J. K., Lin, W., Styner, M., Gerig, G., & Neale, M. C. (2010) · Human Brain Mapping · doi:10.1002/hbm.20926 · Cited by 136 · see citing works
Self-citationHusain, J., & Juurlink, B. H. J. (1995) · Brain Research · doi:10.1016/0006-8993(95)00832-b · Cited by 127 · see citing works
Tamnes, C. K., Østby, Y., Walhovd, K. B., Westlye, L. T., Due‐Tønnessen, P., & Fjell, A. M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20962 · Cited by 126 · see citing works
Microstructural Correlates of Infant Functional Development: Example of the Visual Pathways
Dubois, J., Dehaene‐Lambertz, G., Soarès, C., Cointepas, Y., Bihan, D. L., & Hertz‐Pannier, L. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5145-07.2008 · Cited by 125 · see citing works
Biological development of reading circuits
Wandell, B. A., & Yeatman, J. D. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.005 · Cited by 125 · see citing works
Borghesani, P. R., Madhyastha, T. M., Aylward, E., Reiter, M. A., Swarny, B. R., Schaie, K. W., & Willis, S. L. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.03.005 · Cited by 111 · see citing works
BDNF gene effects on brain circuitry replicated in 455 twins
Chiang, M., Marina Barysheva, A., Toga, A. W., Medland, S. E., Hansell, N. K., James, M. R., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.053 · Cited by 108 · see citing works
Microstructural correlations of white matter tracts in the human brain
Wahl, M. T., Li, Y., Ng, J., LaHue, S. C., Cooper, S. R., Sherr, E. H., & Mukherjee, P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.072 · Cited by 107 · see citing works
Associations between white matter microstructure and infants' working memory
Short, S. J., Elison, J. T., Goldman, B. D., Styner, M., Gu, H., Connelly, M., Maltbie, E., Woolson, S., Lin, W., Gerig, G., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.021 · Cited by 105 · see citing works
Self-citationIs postnatal neocortical maturation hierarchical?
Guillery, R. W. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.08.006 · Cited by 97 · see citing works
Corpus callosum and prefrontal functions in adolescents with history of very preterm birth
Narberhaus, A., Segarra, D., Caldú, X., Giménez, M., Pueyo, R., Botet, F., & Junqué, C. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.08.004 · Cited by 75 · see citing works
UNC-Utah NA-MIC framework for DTI fiber tract analysis
Verde, A. R., Budin, F., Berger, J.-B., Gupta, A., Farzinfar, M., Kaiser, A., Ahn, M., Johnson, H. J., Matsui, J., Hazlett, H. C., et al. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00051 · Cited by 65 · see citing works
Self-citationGene Network Effects on Brain Microstructure and Intellectual Performance Identified in 472 Twins
Chiang, M., Marina Barysheva, A., McMahon, K. L., de Zubicaray, G. I., Johnson, K., Montgomery, G. W., Martin, N. G., Toga, A. W., Wright, M. J., Shapshak, P., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5993-11.2012 · Cited by 55 · see citing works
Splenium development and early spoken language in human infants
Swanson, M. R., Wolff, J. J., Elison, J. T., Gu, H., Hazlett, H. C., Botteron, K. N., Styner, M. A., Paterson, S., Gerig, G., Constantino, J. N., et al. (2015) · Developmental Science · doi:10.1111/desc.12360 · Cited by 52 · see citing works
Self-citationQuantitative tract-based white matter heritability in twin neonates
Lee, S. J., Steiner, R. J., Luo, S., Neale, M. C., Styner, M., Zhu, H., & Gilmore, J. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.021 · Cited by 45 · see citing works
Self-citationBraga, R. M., Roze, E., Ball, G., Merchant, N. M., Tusor, N., Arichi, T., Edwards, A. D., Rueckert, D., & Counsell, S. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125681 · Cited by 31 · see citing works
Mishra, V. R., Cheng, H., Gong, G., Yong He, A., Dong, Q., & Huang, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00721 · Cited by 29 · see citing works
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Imaging structural and functional brain development in early childhood
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Self-citationMortamais, M., Pujol, J., Martínez-Vilavella, G., Fenoll, R., Reynes, C., Sabatier, R., Rivas, I., Forns, J., Vilor-Tejedor, N., Alemany, S., et al. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108734 · Cited by 112 · see citing works
- Authors
- Lee, S. J., Steiner, R. J., Yu, Y., Short, S. J., Neale, M. C., Styner, M. A., Zhu, H., & Gilmore, J. H.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Virginia Commonwealth University (US)
- Department of Biostatics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
- Corresponding author
- Gilmore, John H.
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2016-12-19
- Volume
- 114
- Issue
- 1
- Pages
- 148-153
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5224366
- OpenAlex
- W2565311030
- Cited by
- 51
- References
- 49
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 7 · 2021: 6 · 2020: 9 · 2019: 6 · 2018: 10 · 2017: 2
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- HHS | NIH | National Institute of Mental Health (MH064065, MH070890, RR025747, MH086633)
- HHS | NIH | National Institute of Child Health and Human Development (HD053000)
- National Science Foundation (SES-1357666, DMS-1407655)
- 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
- white matter microstructure, white matter tracts, cognitive development, heritability, diffusion tensor imaging, neonatal brain development, early childhood, general intelligence, imaging genetics
- MeSH terms
- Child, Preschool, Cognition, Female, Humans, Image Processing, Computer-Assisted, Infant, Infant, Newborn, Longitudinal Studies, Male, Twins, Diffusion Tensor Imaging, White Matter
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