Quantitative tract-based white matter heritability in twin neonates
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Studies in adults indicate that white matter microstructure, assessed with diffusion tensor imaging (DTI), has high heritability. Little is known about genetic and environmental influences on DTI parameters, measured along fiber tracts particularly, in early childhood. In the present study, we report comprehensive heritability data of white matter microstructure fractional anisotropy (FA), radial diffusion (RD), and axial diffusion (AD) along 47 fiber tracts using the quantitative tractography in a large sample of neonatal twins (n=356). We found significant genetic influences in almost all tracts with similar heritabilities for FA, RD, and AD as well as positive relationships between these parameters and heritability. In a single tract analysis, genetic influences along the length of the tract were highly variable. These findings suggest that at birth, there is marked heterogeneity of genetic influences of white matter microstructure within white matter tracts. This study provides a basis for future studies of developmental changes in genetic and environmental influences during early childhood, a period of rapid development that likely plays a major role in individual differences in white matter structure and function.
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White-matter microstructure as represented by FA is generally highly heritable in adults, with variability across tracts.
“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 [147]
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Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
3D Slicer as an image computing platform for the Quantitative Imaging Network
Fedorov, A., Beichel, R., Kalpathy–Cramer, J., Finet, J., Fillion‐Robin, J., Pujol, S., Bauer, C., Jennings, D. L., Fennessy, F., Milan Sonka, A., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.05.001 · Cited by 9,095 · 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
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 · see citing works
Self-citationInsel, T. R. (2010) · Nature · doi:10.1038/nature09552 · Cited by 1,783 · see citing works
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157 · see citing works
Early Life Programming and Neurodevelopmental Disorders
Bale, T. L., Baram, T. Z., Brown, A. S., Goldstein, J. M., Insel, T. R., McCarthy, M. M., Nemeroff, C. B., Reyes, T. M., Simerly, R. B., Susser, E. S., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.05.028 · Cited by 961 · see citing works
Kinney, H. C., Ann brody, B., Kloman, A. S., & Gilles, F. H. (1988) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-198805000-00003 · Cited by 888 · 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
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 · see citing works
Self-citationWhite and gray matter development in human fetal, newborn and pediatric brains
Huang, H., Zhang, J.-Y., Wakana, S., Zhang, W., Ren, T., Richards, L. J., Yarowsky, P., Donohue, P., Graham, E. M., van Zijl, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.009 · Cited by 404 · see citing works
Dynamic 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 · see citing works
Self-citationDubois, J., Dehaene‐Lambertz, G., Perrin, M., Mangin, J., Cointepas, Y., Duchesnay, É., Bihan, D. L., & Hertz‐Pannier, L. (2007) · Human Brain Mapping · doi:10.1002/hbm.20363 · Cited by 374 · 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-citationDubois, J., Hertz‐Pannier, L., Dehaene‐Lambertz, G., Cointepas, Y., & Bihan, D. L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.022 · Cited by 324 · 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-citationTemporal and spatial evolution of brain network topology during the first two years of life
Gao, W., Gilmore, J. H., Giovanello, K. S., Smith, J. K., Shen, D., Zhu, H., & Lin, W. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025278 · Cited by 272 · 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-citationGenetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29
Chiang, M.-C., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.015 · Cited by 250 · see citing works
Nortje, G., Stein, D. J., Raduà, J., Mataix‐Cols, D., & Horn, N. R. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.05.034 · Cited by 247 · see citing works
Jones, D. K., Christiansen, K. F., Chapman, R. J., & Aggleton, J. P. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.018 · Cited by 223 · see citing works
Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain
Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1256 · Cited by 222 · see citing works
Self-citationBlokland, 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-citationGao, W., Gilmore, J. H., Shen, D., Smith, J. K., Zhu, H., & Lin, W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs043 · Cited by 194 · 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
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Glahn, D. C., Curran, J. E., Winkler, A. M., Carless, M. A., Kent, J. W., Charlesworth, J., Johnson, M. P., Göring, H. H. H., Cole, S. A., Dyer, T. D., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.08.022 · Cited by 184 · see citing works
Genetics of microstructure of cerebral white matter using diffusion tensor imaging
Kochunov, P., Glahn, D. C., Lancaster, J. L., Winkler, A. M., Smith, S. M., Thompson, P. M., Almasy, L. A., Duggirala, R., Fox, P. T., & Blangero, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.078 · Cited by 158 · see citing works
Eyler, L., Chen, C.-H., Panizzon, M., Fennema-Notestine, C., Neale, M., Jak, A., Jernigan, T., Fischl, B., Franz, C., Lyons, M., et al. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.3 · Cited by 139 · see citing works
Self-citationGenetic 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-citationKochunov, 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 · see citing works
Assessment of Normal Myelination with Magnetic Resonance Imaging
Welker, K. M., & Patton, A. C. (2012) · Seminars in Neurology · doi:10.1055/s-0032-1306382 · Cited by 131 · see citing works
Gilmore, J. H., Lin, W., Corouge, I., Vetsa, Y. S. K., Smith, J. K., Kang, C., Gu, H., Hamer, R. M., Lieberman, J. A., & Gerig, G. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0751 · Cited by 123 · see citing works
Self-citationTypical 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
Whole-genome analyses of whole-brain data: working within an expanded search space
Medland, S. E., Jahanshad, N., Neale, B. M., & Thompson, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3718 · Cited by 119 · 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
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Pfefferbaum, A., Sullivan, E. V., & Carmelli, D. (2001) · Neuroreport · doi:10.1097/00001756-200106130-00032 · Cited by 108 · see citing works
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. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032316 · Cited by 107 · see citing works
FADTTS: Functional analysis of diffusion tensor tract statistics
Hongtu Zhu, B., Kong, L., Li, R., Styner, M. A., Gerig, G., Lin, W., & Gilmore, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.075 · Cited by 87 · see citing works
Self-citationBerman, J., Glass, H. C., Miller, S. P., et al. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1304 · Cited by 87 · see citing works
Oligodendrocyte Genes, White Matter Tract Integrity, and Cognition in Schizophrenia
Voineskos, A. N., Felsky, D., Kovacevic, N., Tiwari, A. K., Zai, C. C. H., Chakravarty, M. M., Lobaugh, N. J., Shenton, M. E., Rajji, T. K., Miranda, D., et al. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs188 · Cited by 83 · see citing works
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Song, J. W., Mitchell, P. D., Kolasinski, J., Grant, P. E., Galaburda, A. M., & Takahashi, E. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu084 · Cited by 81 · see citing works
Kuswanto, C. N., Teh, I., Lee, T.-S. W., & Sim, K. (2012) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2012.10.1.13 · Cited by 79 · see citing works
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Brouwer, R. M., Mandl, R. C. W., Peper, J. S., van Baal, G. C. M., Kahn, R. S., Boomsma, D. I., & Pol, H. E. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.017 · Cited by 74 · see citing works
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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
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Geng, X., Prom-Wormley, E. C., Perez, J., Kubarych, T., Styner, M., Lin, W., Neale, M. C., & Gilmore, J. H. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.14 · Cited by 53 · see citing works
Self-citationEyler, L. T., Vuoksimaa, E., Panizzon, M. S., Fennema‐Notestine, C., Neale, M. C., Chen, C., Jak, A. J., Franz, C. E., Lyons, M. J., Thompson, W. K., et al. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00531 · Cited by 47 · see citing works
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Zuliani, R., Moorhead, T. W. J., Bastin, M. E., Johnstone, E. C., Lawrie, S. M., Brambilla, P., O’Donovan, M. C., Owen, M. J., Hall, J., & McIntosh, A. M. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.11.001 · Cited by 46 · see citing works
Voineskos, A. N. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.03.034 · Cited by 39 · see citing works
Mueller, S., Keeser, D., Reiser, M. F., Teipel, S. J., & Meindl, T. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2799 · Cited by 34 · see citing works
Chiang, M.-C., Avedissian, C., Marina Barysheva, A., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., & Thompson, P. M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04271-3_62 · Cited by 27 · see citing works
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data
Yuan, Y., Gilmore, J. H., Geng, X., Styner, M. A., Chen, K., Wang, J.-L., & Hongtu Zhu, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.020 · Cited by 24 · see citing works
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Knickmeyer, R. C., Kang, C., Woolson, S., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., Styner, M. A., & Gilmore, J. H. (2011) · Twin Research and Human Genetics · doi:10.1375/twin.14.3.268 · Cited by 21 · see citing works
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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 · see citing works
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Cao, M., Huang, H., & He, Y. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.06.003 · Cited by 284 · 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
Adamson, B., Letourneau, N. L., & Lebel, C. A. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.08.029 · Cited by 111 · see citing works
Vuoksimaa, E., Panizzon, M. S., Hagler Jr, D. J., Hatton, S. N., Fennema‐Notestine, C., Rinker, D., Eyler, L. T., Franz, C. E., Lyons, M. J., Neale, M. C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23502 · Cited by 58 · see citing works
Self-citationWhite matter development from birth to 6 years of age: a longitudinal study
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Self-citationXu, Y., Cao, M., Liao, X., Xia, M., Wang, X., Jeon, T., Ouyang, M., Chalak, L. F., Rollins, N. K., Huang, H., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy302 · Cited by 59 · see citing works
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Girault, J. B., Cornea, E. A., Goldman, B. D., Knickmeyer, R. C., Styner, M. A., & Gilmore, J. H. (2018) · Human Brain Mapping · doi:10.1002/hbm.24439 · Cited by 60 · 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
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Ahn, S. J., Cornea, E. A., Murphy, V. A., Styner, M. A., Jarskog, L. F., & Gilmore, J. H. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.05.039 · Cited by 13 · see citing works
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Zhao, Y., Li, T., & Hongtu Zhu, B. (2020) · Biostatistics · doi:10.1093/biostatistics/kxaa035 · Cited by 9 · see citing works
FSEM: Functional Structural Equation Models for Twin Functional Data
Luo, S., Song, R., Styner, M. A., et al. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1407773 · Cited by 9 · see citing works
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Chen, H., Budin, F., Noel, J., Prieto, J. C., Gilmore, J. H., Rasmussen, J. M., Wadhwa, P. D., Entringer, S., Buß, C., & Styner, M. A. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2254467 · Cited by 8 · see citing works
Self-citationPrasad, K. M. R., Gertler, J., Tollefson, S., Wood, J. A., Roalf, D. R., Gur, R. C., Gur, R. C., Almasy, L. A., Pogue‐Geile, M. F., & Nimgaonkar, V. L. (2020) · Psychological Medicine · doi:10.1017/s0033291720002883 · Cited by 7 · see citing works
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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
Self-citationGenetics of brain networks and connectivity
Dennis, E. L., Thompson, P. M., & Jahanshad, N. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813838-0.00008-x · Cited by 3 · see citing works
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Cao, M., & Yong He, A. (2021) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-816633-8.00021-1 · Cited by 3 · see citing works
Zhao, B., Zhang, J., Ibrahim, J. G., Santelli, R., Li, Y., Li, T., Shan, Y., Zhu, Z., Zhou, F., Liao, H., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/288555 · Cited by 3 · see citing works
Carozza, S., Akarca, D., & Astle, D. E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.02.539045 · Cited by 3 · see citing works
Yang, A., Yang, Y., & Zhao, X. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1011112 · Cited by 1 · see citing works
Genetic and environmental influence on white matter: insight from an Italian twin population study
Videtta, G., Colli, C., Squarcina, L., Fagnani, C., Medda, E., D’Ippolito, C., Bonivento, C., Nobile, M., & Brambilla, P. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1765036 · Cited by 2 · see citing works
Neuroeducación: Comprendiendo el cerebro para mejorar el aprendizaje
López, U. E. N. M., Vizuete, K. H. A., Vizuete, S. M. A., Vizuete, C. A. A., de Octubre, E. 1., Trávez, R. G. V., Maná, U. E. L., Alcívar, E. Y. P., & de Mayo, C. T. E. 1. (2024) · doi:10.16921/naciones.60
- Authors
- Lee, S. J., Steiner, R. J., Luo, S., Neale, M. C., Styner, M., Zhu, H., & Gilmore, J. H.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- North Carolina State University (US)
- Virginia Commonwealth University (US)
- Corresponding author
- Gilmore, John H.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 111
- Pages
- 123-135
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4387008
- OpenAlex
- W2083359501
- Semantic Scholar
- 533ecd5554bec98699eee329482ec21a5079e488
- Cited by
- 45
- References
- 53
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 10 · 2017: 4 · 2016: 3 · 2015: 1 · 2013: 1
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (MH 070890, RR025747-01, MH086633)
- 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 › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- white matter microstructure, fractional anisotropy, radial diffusion, axial diffusion, fiber tracts, genetic factors, early childhood brain development, individual differences
- MeSH terms
- Brain, Female, Humans, Infant, Newborn, Male, Inheritance Patterns, Diffusion Tensor Imaging, Gene-Environment Interaction, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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