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White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study
Open accessAbstract
White matter microstructure and volume show synchronous developmental patterns in children. White matter volume increases considerably during development. Fractional anisotropy, a measure for white matter microstructural directionality, also increases with age. Development of white matter volume and development of white matter microstructure seem to go hand in hand. The extent to which the same or different genetic and/or environmental factors drive these two aspects of white matter maturation is currently unknown. We mapped changes in white matter volume, surface area and diffusion parameters in mono- and dizygotic twins who were scanned at age 9 (203 individuals) and again at age 12 (126 individuals). Over the three-year interval, white matter volume (+6.0%) and surface area (+1.7%) increased, fiber bundles expanded (most pronounced in the left arcuate fasciculus and splenium), and fractional anisotropy increased (+3.0%). Genes influenced white matter volume (heritability ~85%), surface area (~85%), and fractional anisotropy (locally 7% to 50%) at both ages. Finally, volumetric white matter growth was negatively correlated with fractional anisotropy increase (r = -0.62) and this relationship was driven by environmental factors. In children who showed the most pronounced white matter growth, fractional anisotropy increased the least and vice-versa. Thus, white matter development in childhood may reflect a process of both expansion and fiber optimization.
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![Figure 2 Increases of relative fractional anisotropy between the ages of 9 and 12, projected onto the group average fiber bundle. Left, top and right view. For visualization purposes, values were smoothed along the bundle using LOESS [59].](/paper-figures/78e2744c606f420d91624c039bc518c3/white-matter-development-in-early-puberty-a-longitudinal-volumetric-and-figure-2.jpg)



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“white-matter microstructure, as represented by FA, is generally highly heritable in adults, with variability across different white-matter tracts147, 148.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [148]
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Cites
Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Cleveland, W. S., & Devlin, S. J. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478639 · Cited by 5,893
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
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 4,628
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Methodology for Genetic Studies of Twins and Families
Neale, M. C., & Cardon, L. R. (1992) · doi:10.1007/978-94-015-8018-2 · Cited by 4,005
Introduction to Quantitative Genetics
J.-M., G., & Falconer, D. S. (1962) · Population · doi:10.2307/1525780 · Cited by 3,773
Research works printed but not linked: 2
- ILC van Soelen, 2011, Heritability of volumetric changes during brain development., Hum Brain Map, Dec, 3
- MC Neale, 2006, 'Mx: statistical modeling', VCU Box 900126, Richmond, VA 23298: Department of Psychiatry, 7th Edition
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Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
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Lebel, C., Treit, S., & Beaulieu, C. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3778 · Cited by 379
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Kochunov, P., Jahanshad, N., Marcus, D., Winkler, A., Sprooten, E., Nichols, T. E., Wright, S. N., Hong, L. E., Patel, B., Behrens, T., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.050 · Cited by 215
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Self-citationZhao, 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 150
Kochunov, P., Jahanshad, N., Sprooten, E., Nichols, T. E., Mandl, R. C., Almasy, L., Booth, T., Brouwer, R. M., Curran, J. E., de Zubicaray, G. I., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.033 · Cited by 133
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Vink, M., Zandbelt, B. B., Gladwin, T., Hillegers, M., Hoogendam, J. M., van den Wildenberg, W. P. M., Du Plessis, S., & Kahn, R. S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22483 · Cited by 116
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Self-citationPeper, J. S., de Reus, M. A., van den Heuvel, M. P., & Schutter, D. J. L. G. (2014) · Human Brain Mapping · doi:10.1002/hbm.22684 · Cited by 68
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Genc, S., Malpas, C. B., Gülenç, A., Sciberras, E., Efron, D., Silk, T. J., & Seal, M. L. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100853 · Cited by 37
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Self-citationAdluru, N., Luo, Z., Hulle, C. A. V., Schoen, A. J., Davidson, R. J., Alexander, A. L., & Goldsmith, H. H. (2017) · Scientific Reports · doi:10.1038/s41598-017-08107-6 · Cited by 27
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Leng, Y., Shi, Y., Yu, Q., Horn, J. D. V., Tang, H., Li, J., Xu, W., Ge, X., Tang, Y., Han, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep33015 · Cited by 15
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Meissner, T. W., Friedrich, P., Ocklenburg, S., Genç, E., & Weigelt, S. (2017) · Developmental Neuropsychology · doi:10.1080/87565641.2017.1315582 · Cited by 9
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Metadata
- Authors
- Brouwer, R. M., Mandl, R. C. W., Schnack, H. G., van Soelen, I. L. C., van Baal, G. C., Peper, J. S., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H.
- Affiliations
- University Medical Center Utrecht (NL)
- Leiden University (NL)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Brouwer, Rachel M.
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-04-13
- Volume
- 7
- Issue
- 4
- Pages
- e32316
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3326005
- OpenAlex
- W2137931201
- Cited by
- 107
- References
- 62
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 12 · 2019: 5 · 2018: 8 · 2017: 10 · 2016: 10 · 2015: 13 · 2014: 9 · 2013: 8 · 2012: 1
- FWCI
- 7.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO 51.02.060, NWO 480-04-004, 230374, 480-04-004, 51.02.060)
- Hersenstichting
- 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 development, precocious puberty, fractional anisotropy, white matter volume, heritability, monozygotic twins, dizygotic twins, arcuate fasciculus, splenium, child neurodevelopment, genetic and environmental factors
- MeSH terms
- Brain, Child, Female, Humans, Male, Anisotropy, Diffusion Tensor Imaging
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