White matter maturation profiles through early childhood predict general cognitive ability
Open accessAbstract
Infancy and early childhood are periods of rapid brain development, during which brain structure and function mature alongside evolving cognitive ability. An important neurodevelopmental process during this postnatal period is the maturation of the myelinated white matter, which facilitates rapid communication across neural systems and networks. Though prior brain imaging studies in children (4 years of age and above), adolescents, and adults have consistently linked white matter development with cognitive maturation and intelligence, few studies have examined how these processes are related throughout early development (birth to 4 years of age). Here, we show that the profile of white matter myelination across the first 5 years of life is strongly and specifically related to cognitive ability. Using a longitudinal design, coupled with advanced magnetic resonance imaging, we demonstrate that children with above-average ability show differential trajectories of myelin development compared to average and below average ability children, even when controlling for socioeconomic status, gestation, and birth weight. Specifically, higher ability children exhibit slower but more prolonged early development, resulting in overall increased myelin measures by ~3 years of age. These results provide new insight into the early neuroanatomical correlates of cognitive ability, and suggest an early period of prolonged maturation with associated protracted white matter plasticity may result in strengthened neural networks that can better support later development. Further, these results reinforce the necessity of a longitudinal perspective in investigating typical or suspected atypical cognitive maturation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Myelin water fraction studies found age-dependent relationships between myelination and general cognitive ability from 3 months to 5 years.
“age-dependent relationships between myelination and general cognitive ability from 3 months to 5 years200.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [200]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230 · see citing works
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · 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
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989 · see citing works
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 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
An Introduction to the Bootstrap.
Buckland, S. T., Efron, B., & Tibshirani, R. J. (1994) · Biometrics · doi:10.2307/2532810 · Cited by 3,236 · see citing works
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356 · 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
Nonlinear Mixed Effects Models for Repeated Measures Data
Lindstrom, M. J., & Bates, D. M. (1990) · Biometrics · doi:10.2307/2532087 · Cited by 1,793 · see citing works
Plasticity in gray and white: neuroimaging changes in brain structure during learning
Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012) · Nature Neuroscience · doi:10.1038/nn.3045 · Cited by 1,685 · see citing works
A tension-based theory of morphogenesis and compact wiring in the central nervous system
Essen, D. C. V. (1997) · Nature · doi:10.1038/385313a0 · Cited by 1,668 · see citing works
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543 · see citing works
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · 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
Self-citationWhite matter in learning, cognition, and psychiatric disorders
Fields, R. D. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.04.001 · Cited by 1,337 · see citing works
Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood
Lebel, C., & Beaulieu, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5302-10.2011 · Cited by 1,193 · see citing works
Just, M. A., Cherkassky, V. L., Keller, T. A., Kana, R. K., & Minshew, N. J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl006 · Cited by 1,081 · see citing works
Leiter International Performance Scale-Revised
Sullivan, S. A. (1998) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199804)35:2 · Cited by 1,012 · see citing works
Functional brain development in humans
Johnson, M. H. (2001) · Nature Reviews Neuroscience · doi:10.1038/35081509 · Cited by 980 · see citing works
In vivo visualization of myelin water in brain by magnetic resonance
MacKay, A. L., Whittall, K. P., Adler, J., Li, D. K. B., Paty, D. W., & Graeb, D. A. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310614 · Cited by 916 · see citing works
Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909 · see citing works
Brain development, gender and IQ in children
Reiss, A. L., Abrams, M. T., Singer, H. S., ROSS, J. L., & DENCKLA, M. B. (1996) · Brain · doi:10.1093/brain/119.5.1763 · Cited by 867 · see citing works
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 · see citing works
Nagy, Z., Westerberg, H., & Klingberg, T. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041920441 · Cited by 794 · see citing works
Imitation performance in toddlers with autism and those with other developmental disorders
Rogers, S. J., Hepburn, S. L., Stackhouse, T., & Wehner, E. (2003) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00162 · Cited by 648 · see citing works
Mapping Infant Brain Myelination with Magnetic Resonance Imaging
Deoni, S. C. L., Mercure, E., Blasi, A., Gasston, D., Thomson, A., Johnson, M., Williams, S. C. R., & Murphy, D. G. M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2106-10.2011 · Cited by 497 · see citing works
Self-citationGleaning multicomponent T 1 and T 2 information from steady‐state imaging data
Deoni, S., Rutt, B. K., Arun, T., Pierpaoli, C. M., & Jones, D. K. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21704 · Cited by 473 · see citing works
Self-citationChanges in cerebral functional organization during cognitive development
Casey, B. J., Galván, A., & Hare, T. A. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.012 · Cited by 465 · see citing works
Tuning the developing brain to social signals of emotions
Leppänen, J., & Nelson, C. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2554 · Cited by 445 · see citing works
Intelligence and brain structure in normal individuals
Andreasen, N. C., Flaum, M., Swayze, V. W., OʼLeary, D. S., Alliger, R. J., Cohen, G., Ehrhardt, J. C., & Yuh, W. T. C. (1993) · American Journal of Psychiatry · doi:10.1176/ajp.150.1.130 · Cited by 419 · see citing works
When does human brain development end? Evidence of corpus callosum growth up to adulthood
Pujol, J., Vendrell, P., Junqué, C., Jl, M.-V., & Capdevila, A. (1993) · Annals of Neurology · doi:10.1002/ana.410340113 · Cited by 405 · see citing works
Deoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.037 · Cited by 390 · see citing works
Self-citationSchmithorst, V. J., Wilke, M., Dardzinski, B. J., & Holland, S. K. (2005) · Human Brain Mapping · doi:10.1002/hbm.20149 · Cited by 382 · see citing works
MYELINATION AS A VULNERABLE PERIOD IN BRAIN DEVELOPMENT
Davison, A. N., & Dobbing, J. (1966) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a070434 · Cited by 380 · see citing works
Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology
Laule, C., Kozłowski, P., Leung, E., Li, D. K. B., MacKay, A. L., & Moore, G. R. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.008 · Cited by 379 · see citing works
Human intelligence and brain networks
Colom, R., Karama, S., Jung, R. E., & Haier, R. J. (2010) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2010.12.4/rcolom · Cited by 348 · see citing works
Phonological decisions require both the left and right supramarginal gyri
Hartwigsen, G., Baumgaertner, A., Price, C. J., Koehnke, M., Ulmer, S., & Siebner, H. R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008121107 · Cited by 346 · cited 2× · see citing works
“2003), lesion and more recent TMS studies suggest the right supramarginal gyrus plays an important role in phonological processing (Hartwigsen et al. 2010).”
BackgroundRelationships between IQ and Regional Cortical Gray Matter Thickness in Healthy Adults
Narr, K. L., Woods, R. P., Thompson, P. M., Szeszko, P. R., Robinson, D. G., Dimtcheva, T., Gurbani, M. N., Toga, A. W., & Bilder, R. M. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl125 · Cited by 339 · see citing works
MRI of normal brain maturation.
Holland, B. A., Haas, D. K., Norman, D. M., Brant-Zawadzki, M. N., & Newton, T. H. (1986) · PubMed Central · Cited by 334 · see citing works
Kindergarten Predictors of Math Learning Disability
Mazzocco, M. M. M., & Thompson, R. E. (2005) · Learning Disabilities Research and Practice · doi:10.1111/j.1540-5826.2005.00129.x · Cited by 301 · see citing works
What have we learned about cognitive development from neuroimaging?
Durston, S., & Casey, B. J. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.10.010 · Cited by 299 · see citing works
Brain development in autism: Early overgrowth followed by premature arrest of growth
Courchesne, E. (2004) · Mental Retardation and Developmental Disabilities Research Reviews · doi:10.1002/mrdd.20020 · Cited by 295 · see citing works
Peak Performance and Age Among Superathletes: Track and Field, Swimming, Baseball, Tennis, and Golf
Schulz, R., & Curnow, C. (1988) · Journal of Gerontology · doi:10.1093/geronj/43.5.p113 · Cited by 282 · see citing works
Change in the Brain's White Matter
Fields, R. D. (2010) · Science · doi:10.1126/science.1199139 · Cited by 265 · see citing works
Dean, D. C., Jerskey, B. A., Chen, K., Protas, H., Thiyyagura, P., Roontiva, A., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4544 · Cited by 263 · see citing works
Self-citationLarge-Scale Use of the Modified Checklist for Autism in Low-Risk Toddlers
Chlebowski, C., Robins, D. L., Barton, M. L., & Fein, D. (2013) · Pediatrics · doi:10.1542/peds.2012-1525 · Cited by 258 · cited 3× · see citing works
“In addition to the Mullen’s, assessments of abnormal behavior, including the Modified Checklist for Autism in Toddlers (M-CHAT) (Chlebowski et al. 2013) and the Communication and Symbolic Behavior Scales Developmental Profile (CSBS-DP) (Wetherby et al. 2002), were used to identify children who may…”
MethodVerbal and non-verbal intelligence changes in the teenage brain
Ramsden, S., Richardson, F. M., Josse, G., Thomas, M. S. C., Ellis, C., Shakeshaft, C., Seghier, M. L., & Price, C. J. (2011) · Nature · doi:10.1038/nature10514 · Cited by 246 · see citing works
Mapping corpus callosum deficits in autism: An index of aberrant cortical connectivity
Vidal, C. N., Nicolson, R., DeVito, T. J., Hayashi, K. M., Geaga, J. A., Drost, D. J., Williamson, P. C., Rajakumar, N., Sui, Y., Dutton, R. A., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.11.011 · Cited by 244 · see citing works
Developmental aspects of language processing: fMRI of verbal fluency in children and adults
Gaillard, W. D., Sachs, B. C., Whitnah, J. R., Ahmad, Z., Balsamo, L. M., Petrella, J. R., Braniecki, S. H., McKinney, C. M., Hunter, K., Xu, B., et al. (2003) · Human Brain Mapping · doi:10.1002/hbm.10091 · Cited by 239 · see citing works
Mapping IQ and gray matter density in healthy young people
Frangou, S., Chitins, X., & Williams, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.027 · Cited by 221 · see citing works
Multimodal imaging of the self-regulating developing brain
Fjell, A. M., Walhovd, K. B., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Venkatraman, V., Roddey, J. C., Erhart, M., McCabe, C., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208243109 · Cited by 212 · see citing works
White 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
Self-citationCharacterizing longitudinal white matter development during early childhood
Dean, D. C., O’Muircheartaigh, J., Dirks, H., Waskiewicz, N., Walker, L., Doernberg, E., Piryatinsky, I., & Deoni, S. C. L. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0763-3 · Cited by 174 · see citing works
Self-citationBright spots: correlations of gray matter volume with IQ in a normal pediatric population
Wilke, M., Sohn, J., Byars, A. W., & Holland, S. K. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00199-x · Cited by 166 · see citing works
Modeling healthy male white matter and myelin development: 3 through 60months of age
Dean, D. C., O'Muircheartaigh, J., Dirks, H., Waskiewicz, N., Lehman, K., Walker, L., Han, M., & Deoni, S. C. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.058 · Cited by 163 · see citing works
Self-citationPreventive Interventions for ADHD: A Neurodevelopmental Perspective
Halperin, J. M., Bedard, A., & Curchack, J. T. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0123-z · Cited by 151 · see citing works
Deoni, S., Matthews, L., & Kolind, S. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24429 · Cited by 145 · see citing works
Self-citationPediatric neuroimaging using magnetic resonance imaging during non-sedated sleep
Dean, D. C., Dirks, H., O’Muircheartaigh, J., Walker, L., Jerskey, B. A., Lehman, K., Han, M., Waskiewicz, N., & Deoni, S. C. L. (2014) · Pediatric Radiology · doi:10.1007/s00247-013-2752-8 · Cited by 138 · see citing works
Self-citationMyelin water imaging reflects clinical variability in multiple sclerosis
Kolind, S., Matthews, L., Johansen‐Berg, H., Leite, M. I., Williams, S., Deoni, S., & Palace, J. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.070 · Cited by 131 · see citing works
Self-citationZhou, X., Qiu, T., Ke, X., Xiao, X., Xiao, T., Liang, F., Zou, B., Huang, H., Fang, H., Chu, K., et al. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2033-x · Cited by 126 · see citing works
Deoni, S. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22685 · Cited by 111 · see citing works
Self-citationBorghesani, 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
Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches
Crainiceanu, C. M. (2007) · Journal of the American Statistical Association · doi:10.1198/jasa.2007.s189 · Cited by 108 · 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-citationMR Relaxation in Multiple Sclerosis
MacKay, A. L., Vavasour, I. M., Rauscher, A., Kolind, S., Mädler, B., Moore, G. R. W., Traboulsee, A. L., Li, D. K. B., & Laule, C. (2008) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2008.09.007 · Cited by 94 · see citing works
Tang, C. Y., Eaves, E. L., Ng, J., Carpenter, D. M., Mai, X., Schroeder, D. H., Condon, C. A., Colom, R., & Haier, R. J. (2010) · Intelligence · doi:10.1016/j.intell.2010.03.003 · Cited by 85 · see citing works
Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches
Wu, H., & Zhang, J.-T. (2006) · Cited by 85 · see citing works
On the inherent precision of mcDESPOT
Lankford, C. L., & Does, M. D. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24241 · Cited by 83 · see citing works
Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI
Kitzler, H. H., Su, J., Zeineh, M., Harper-Little, C., Leung, A., Kremenchutzky, M., Deoni, S., & Rutt, B. K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.052 · Cited by 77 · see citing works
Self-citationThe course of human events: predicting the timing of primate neural development
Clancy, B., Darlington, R. B., & Finlay, B. L. (2000) · Developmental Science · doi:10.1111/1467-7687.00100 · Cited by 74 · see citing works
The link between callosal thickness and intelligence in healthy children and adolescents
Eileen Luders, A., Thompson, P. M., Narr, K. L., Zamanyan, A., Chou, Y., Gutman, B. A., Dinov, I. D., & Toga, A. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.083 · Cited by 73 · see citing works
Myelin imaging in amyotrophic and primary lateral sclerosis
Kolind, S., Sharma, R., Knight, S., Johansen‐Berg, H., Talbot, K., & Turner, M. R. (2013) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.3109/21678421.2013.794843 · Cited by 70 · see citing works
Deoni, S., & Kolind, S. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25108 · Cited by 69 · see citing works
Self-citationNonverbal Cognitive Development in Children With Cochlear Implants
Caudle, S. E., Katzenstein, J. M., Oghalai, J. S., Lin, J., & Caudle, D. D. (2012) · Assessment · doi:10.1177/1073191112437594 · Cited by 22 · see citing works
Wetherby (2002) · doi:10.1044/1092-4388(2002/097
Huttenlocher (1997) · doi:10.1002/(sici)1096-9861(19971020)387:2
Flagged first, then by citations
Research works printed but not linked: 2
- Campbell J, Stikov N, RF D, Pike GB (2014) Combined NODDI and qMT for full-brain g-ratio mapping with complex subvoxel microstructure. In: Proc. Intl. Soc. Mag. Reson. Med., Milan, p 393
- Hurley SA, Mossahebi PM, Samsonov AA (2010) Multicomponent Relaxometry (mcDESPOT) in the Shaking Pup Model of Dysmyelination. In: Proceedings of ISMRM, Stockholm, p 4516
Cited by
Sorted by citations
Imaging structural and functional brain development in early childhood
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
The Neuroscience of Drug Reward and Addiction
Volkow, N. D., Michaelides, M., & Baler, R. (2019) · Physiological Reviews · doi:10.1152/physrev.00014.2018 · Cited by 863 · see citing works
The development of brain white matter microstructure
Lebel, C., & Deoni, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.097 · Cited by 602 · see citing works
Self-citationKostyrka-Allchorne, K., Cooper, N. R., & Simpson, A. (2017) · Developmental Review · doi:10.1016/j.dr.2016.12.002 · Cited by 302 · see citing works
Ronan, V., Yeasin, R., & Claud, E. C. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.08.065 · Cited by 268 · see citing works
Early nutrition influences developmental myelination and cognition in infants and young children
Deoni, S., Dean, D., Joelson, S., O’Regan, J., & Schneider, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.056 · Cited by 226 · see citing works
Self-citationToward a conceptual framework for early brain and behavior development in autism
Piven, J., Elison, J. T., & Zylka, M. J. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.131 · Cited by 163 · see citing works
Self-citationOligodendroglia and Myelin in Neurodegenerative Diseases: More Than Just Bystanders?
Ettle, B., Schlachetzki, J. C. M., & Winkler, J. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9205-3 · Cited by 160 · see citing works
Wang, Y.-Y., Mauer, M. V., Raney, T., Peysakhovich, B., Becker, B., Sliva, D., & Gaab, N. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw095 · Cited by 137 · see citing works
Advances in noninvasive myelin imaging
Heath, F. C., Hurley, S. A., Johansen‐Berg, H., & Sampaio‐Baptista, C. (2017) · Developmental Neurobiology · doi:10.1002/dneu.22552 · Cited by 130 · see citing works
Grotheer, M., Rosenke, M., Wu, H., Kular, H., Querdasi, F. R., Natu, V. S., Yeatman, J. D., & Kalanit Grill-spector, A. (2022) · Nature Communications · doi:10.1038/s41467-022-28326-4 · Cited by 114 · see citing works
Betancourt, L. M., Avants, B., Farah, M. J., Brodsky, N. L., Wu, J., Ashtari, M., & Hurt, H. (2015) · Developmental Science · doi:10.1111/desc.12344 · Cited by 87 · see citing works
The cell biology of CNS myelination
Hughes, E. G., & Appel, B. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.04.013 · Cited by 84 · see citing works
Impact of Demographic and Obstetric Factors on Infant Brain Volumes: A Population Neuroscience Study
Knickmeyer, R. C., Xia, K., Lu, Z., Ahn, M., Jha, S. C., Zou, F., Hongtu Zhu, B., Styner, M. A., & Gilmore, J. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw331 · Cited by 84 · see citing works
Mercer, J., Erickson‐Owens, D. A., Deoni, S., Dean, D., Collins, J. A., Parker, A. B., Wang, M., Joelson, S., Mercer, E. N., & Padbury, J. F. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.06.006 · Cited by 86 · see citing works
Self-citationInfant and Child MRI: A Review of Scanning Procedures
Copeland, A., Silver, E. A., Korja, R., Lehtola, S. J., Merisaari, H., Saukko, E., Sinisalo, S., Saunavaara, J. P., Lähdesmäki, T., Parkkola, R. K., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.666020 · Cited by 83 · see citing works
Chen, Y., Chen, M., Baluyot, K., Potts, T., Jimenez, J., & Lin, W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.038 · Cited by 79 · see citing works
Imaging Evidence of the Effect of Socio-Economic Status on Brain Structure and Development
Leijser, L. M., Siddiqi, A., & Miller, S. P. (2018) · Seminars in Pediatric Neurology · doi:10.1016/j.spen.2018.03.004 · Cited by 76 · see citing works
Croteau-Chonka, E. C., Dean, D. C., Remer, J., Dirks, H., O'Muircheartaigh, J., & Deoni, S. C. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.038 · Cited by 70 · see citing works
Self-citationMapping White Matter Microstructure in the One Month Human Brain
Dean, D., Planalp, E. M., Wooten, W., Adluru, N., Kecskemeti, S., Frye, C. J., Schmidt, C. K., Schmidt, N. L., Styner, M. A., Goldsmith, H. H., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-09915-6 · Cited by 68 · see citing works
Self-citationBENEDICTIS, A. D., Nocerino, E., Menna, F., Fabio Remondino, A., Barbareschi, M., Rozzanigo, U., Corsini, F., Olivetti, E., Marras, C. E., Chioffi, F., et al. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.04.036 · Cited by 64 · see citing works
Raza, G. S., Herzig, K., & Leppäluoto, J. (2021) · Journal of Dairy Science · doi:10.3168/jds.2020-19649 · Cited by 63 · see citing works
Language Experience during Infancy Predicts White Matter Myelination at Age 2 Years
Huber, E., Corrigan, N. M., Yarnykh, V. L., Ramírez, N. F., & Kuhl, P. K. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1043-22.2023 · Cited by 64 · see citing works
White matter in infancy is prospectively associated with language outcomes in kindergarten
Zuk, J., Yu, X., Sanfilippo, J. S., Figuccio, M. J., Dunstan, J., Carruthers, C., Sideridis, G. D., Turesky, T. K., Gagoski, B. A., Grant, P. E., et al. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100973 · Cited by 57 · see citing works
White matter microstructural development and cognitive ability in the first 2 years of life
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
McDougall, S., Riad, W. V., Silva-Gotay, A., Tavares, E. R., Harpalani, D., Li, G., & Richardson, H. N. (2018) · eNeuro · doi:10.1523/eneuro.0203-18.2018 · Cited by 54 · see citing works
Yu, X., Ferradal, S. L., Sliva, D. D., Dunstan, J., Carruthers, C., Sanfilippo, J. S., Zuk, J., Zöllei, L., Boyd, E. C., Gagoski, B. A., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab230 · Cited by 54 · see citing works
White matter plasticity and maturation in human cognition
Bells, S., Lefebvre, J., Longoni, G., Narayanan, S., Arnold, D. L., Yeh, E. A., & Mabbott, D. (2019) · Glia · doi:10.1002/glia.23661 · Cited by 53 · see citing works
Effect of socioeconomic status disparity on child language and neural outcome: how early is early?
Hurt, H., & Betancourt, L. M. (2015) · Pediatric Research · doi:10.1038/pr.2015.202 · Cited by 53 · see citing works
Gabard-Durnam, L. J., O’Muircheartaigh, J., Dirks, H., Dean, D., Tottenham, N., & Deoni, S. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.06.004 · Cited by 50 · 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
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-citationFeng, K., Rowell, A. C., Andres, A., Bellando, J. B., Lou, X., Glasier, C. M., Ramakrishnaiah, R. H., Badger, T. M., & Ou, X. (2019) · Radiology · doi:10.1148/radiol.2019182564 · Cited by 50 · see citing works
Incorporation of nonzero echo times in the SPGR and bSSFP signal models used in mcDESPOT
Bouhrara, M., & Spencer, R. G. S. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25984 · Cited by 50 · see citing works
Su, J., Yang, W., Yim, I. H. Y., Li, H., & Hu, X. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13040 · Cited by 48 · see citing works
The role of the corpus callosum in language network connectivity in children
Bartha‐Doering, L., Kollndorfer, K., Schwartz, E., Fischmeister, F. P. S., Alexopoulos, J., Langs, G., Prayer, D., Kasprian, G. J., & Seidl, R. (2020) · Developmental Science · doi:10.1111/desc.13031 · Cited by 47 · see citing works
Dai, X., Hadjipantelis, P. Z., Wang, J., Deoni, S., & Müller, H. (2019) · Human Brain Mapping · doi:10.1002/hbm.24690 · Cited by 41 · see citing works
Self-citationAndre, Q. R., McMorris, C. A., Kar, P., Ritter, C., Gibbard, W. B., Tortorelli, C., & Lebel, C. A. (2020) · Human Brain Mapping · doi:10.1002/hbm.25130 · Cited by 41 · see citing works
Mercer, J., Erickson‐Owens, D. A., Deoni, S., Dean, D., Tucker, R. J., Parker, A. B., Joelson, S., Mercer, E. N., Collins, J. A., & Padbury, J. F. (2020) · American Journal of Perinatology · doi:10.1055/s-0040-1714258 · Cited by 43 · see citing works
Self-citationThomas, M. S. C., & Dündar‐Coecke, S. (2023) · Cognitive Science · doi:10.1111/cogs.13217 · Cited by 41 · see citing works
Sokol, D. K., Maloney, B., Westmark, C. J., & Lahiri, D. K. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00165 · Cited by 38 · see citing works
Faulkner, M. E., Gong, Z., Guo, A., Laporte, J. P., Bae, J., & Bouhrara, M. (2024) · Journal of Neurochemistry · doi:10.1111/jnc.16170 · Cited by 38 · see citing works
Ouyang, M., Peng, Q., Jeon, T., Heyne, R. J., Chalak, L. F., & Huang, H. (2020) · eLife · doi:10.7554/elife.58116 · Cited by 36 · see citing works
Nilsen, F. M., Ruiz, J. D. C., & Tulve, N. S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17155451 · Cited by 36 · see citing works
Velasco, B., Mohamed, E., & Sato‐Bigbee, C. (2021) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2021.107002 · Cited by 36 · see citing works
Word learning reveals white matter plasticity in preschool children
Ekerdt, C., Kühn, C., Anwander, A., Bräuer, J., & Friederici, A. D. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02024-7 · Cited by 34 · see citing works
Language Exposure and Brain Myelination in Early Development
Fibla, L., Forbes, S. H., McCarthy, J., Mee, K., Magnotta, V. A., Deoni, S., Cameron, D., & Spencer, J. P. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1034-22.2023 · Cited by 33 · see citing works
Self-citationSchneider, N., Greenstreet, E., & Deoni, S. (2021) · Child Development · doi:10.1111/cdev.13649 · Cited by 31 · see citing works
Self-citationAssociation of Maternal and Child Anemia With Brain Structure in Early Life in South Africa
Wedderburn, C. J., Ringshaw, J. E., Donald, K. A., Joshi, S. H., Subramoney, S., Fouché, J., Stadler, J. A. M., Barnett, W., Rehman, A. M., Hoffman, N., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.44772 · Cited by 31 · see citing works
White matter as a monitoring biomarker for neurodevelopmental disorder intervention studies
Swanson, M. R., & Hazlett, H. C. (2019) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-019-9295-8 · Cited by 29 · see citing works
Schmied, A., Soda, T., Gerig, G., Styner, M. A., Swanson, M. R., Elison, J. T., Shen, M. D., McKinstry, R. C., Pruett, J. R., Botteron, K. N., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116821 · Cited by 30 · see citing works
Self-citationGrowth charts of brain morphometry for preschool children
Zhang, H., Li, J., Su, X., Hu, Y., Liu, T., Ni, S., Li, H., Zuo, X., Fu, J., Yuan, T., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119178 · Cited by 26 · see citing works
Genetic influences on cortical myelination in the human brain
Liu, S., Li, A., Zhu, M., Li, J., & Liu, B. (2018) · Genes Brain & Behavior · doi:10.1111/gbb.12537 · Cited by 25 · see citing works
Modeling sparse longitudinal data on Riemannian manifolds
Dai, X., Lin, Z., & Müller, H. (2020) · Biometrics · doi:10.1111/biom.13385 · Cited by 25 · see citing works
Schneider, N., Bruchhage, M. M. K., O’Neill, B. V., Hartweg, M., Tanguy, J., Steiner, P., Mutungi, G., O’Regan, J., McSweeney, S. L., D’Sa, V. A., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.823893 · Cited by 25 · see citing works
Self-citationFrom gifted to high potential and twice exceptional: A state-of-the-art meta-review
Desvaux, T., Danna, J., Velay, J., & Frey, A. (2023) · Applied Neuropsychology Child · doi:10.1080/21622965.2023.2252950 · Cited by 29 · see citing works
Young, J. T., Vlasova, R., Howell, B., Knickmeyer, R. C., Morin, E. L., Kuitchoua, K. I., Lubach, G. R., Noel, J., Hu, X. P., Shi, Y., et al. (2021) · British Journal of Anaesthesia · doi:10.1016/j.bja.2020.12.029 · Cited by 24 · see citing works
Brain myelination at 7 months of age predicts later language development
Corrigan, N. M., Yarnykh, V. L., Huber, E., Zhao, T. C., & Kuhl, P. K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119641 · Cited by 22 · see citing works
The predictive value of developmental assessments at 1 and 2 for intelligence quotients at 6
Girault, J. B., Langworthy, B., Goldman, B. D., Stephens, R. L., Cornea, E. A., Reznick, J. S., Fine, J. P., & Gilmore, J. H. (2018) · Intelligence · doi:10.1016/j.intell.2018.03.003 · Cited by 21 · see citing works
Brain Myelin Water Fraction and Diffusion Tensor Imaging Atlases for 9‐10 Year‐Old Children
Morris, S. R., Holmes, R. D., Dvorak, A. V., Liu, H., Yoo, Y., Vavasour, I. M., Mazabel, S., Mädler, B., Kolind, S., Li, D. K. B., et al. (2020) · Journal of Neuroimaging · doi:10.1111/jon.12689 · Cited by 20 · see citing works
Beaulieu, C., Yip, E., Low, P. B., Mädler, B., Lebel, C. A., Siegel, L. S., MacKay, A. L., & Laule, C. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.568395 · Cited by 22 · see citing works
Kovacs-Balint, Z., Feczko, E., Pincus, M., Earl, E., Miranda-Domínguez, Ó., Howell, B., Morin, E. L., Maltbie, E. A., Li, L. Y., Steele, J., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy222 · Cited by 19 · see citing works
Newbury, J. B., Arseneault, L., Moffitt, T. E., Odgers, C. L., Howe, L. D., Bakolis, I., Reuben, A., Danese, A., Sugden, K., Williams, B. S., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad017 · Cited by 17 · see citing works
Michel, L. C., McCormick, E. M., & Kievit, R. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0465-23.2023 · Cited by 17 · see citing works
Structural development of cortical lobes during the first 6 months of life in infant macaques
Kovacs-Balint, Z. A., Payne, C. D., Steele, J., Li, L., Styner, M. A., Bachevalier, J., & Sánchez, M. M. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100906 · Cited by 18 · see citing works
Petersen, A., Deoni, S., & Müller, H. (2019) · The Annals of Applied Statistics · doi:10.1214/18-aoas1195 · Cited by 16 · see citing works
Self-citationAge-dynamic networks and functional correlation for early white matter myelination
Dai, X., Müller, H., Wang, J.-L., & Deoni, S. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1785-z · Cited by 17 · see citing works
Self-citationSchneider, N., Hartweg, M., O’Regan, J., Beauchemin, J., Redman, L. M., Hsia, D. S., Steiner, P., Carmichael, O. T., D’Sa, V. A., & Deoni, S. (2023) · Nutrients · doi:10.3390/nu15204439 · Cited by 18 · see citing works
Self-citationRajhans, P., Mainardi, F., Austin, S., Sprenger, N., Deoni, S., Hauser, J., & Schneider, N. (2023) · Nutrients · doi:10.3390/nu15214624 · Cited by 16 · see citing works
Self-citationWhite matter development and language abilities during infancy in autism spectrum disorder
McFayden, T. C., Rutsohn, J., Cetin, G., Forsen, E., Swanson, M. R., Meera, S. S., Wolff, J. J., Elison, J. T., Shen, M. D., Botteron, K. N., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02470-3 · Cited by 16 · see citing works
Self-citationDecoding Brain Development and Aging
Hagiwara, A., Kamio, S., Kikuta, J., Nakaya, M., Uchida, W., Fujita, S., Stikov, N., Akasahi, T., Wada, A., Kamagata, K., et al. (2024) · Investigative Radiology · doi:10.1097/rli.0000000000001120 · Cited by 16 · see citing works
Park, A. T., & Mackey, A. P. (2021) · Mind Brain and Education · doi:10.1111/mbe.12304 · Cited by 14 · see citing works
A new era for myelin research in N eurofibromatosis type 1
de Blank, P. M. K., Nishiyama, A., & López‐Juárez, A. (2023) · Glia · doi:10.1002/glia.24432 · Cited by 13 · see citing works
Clinical and Preclinical Evidence for Adverse Neurodevelopment after Postnatal Zika Virus Infection
Raper, J., & Chahroudi, A. (2021) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed6010010 · Cited by 15 · see citing works
Weiss, Y., Huber, E., Ramírez, N. F., Corrigan, N. M., Yarnykh, V. L., & Kuhl, P. K. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.922552 · Cited by 14 · see citing works
Schneider, N., Mainardi, F., Budisavljević, S., Rolands, M. R., & Deoni, S. (2023) · Journal of Nutrition · doi:10.1016/j.tjnut.2023.01.017 · Cited by 14 · see citing works
Self-citationDESARROLLO DE LA ALTA CAPACIDAD DURANTE LA INFANCIA TEMPRANA
Gómez-León, M. I., & Rioja, U. I. D. L. (2020) · Papeles del Psicólogo - Psychologist Papers · doi:10.23923/pap.psicol2020.2930 · Cited by 13 · see citing works
Zhao, T. C., Corrigan, N. M., Yarnykh, V. L., & Kuhl, P. K. (2022) · Developmental Science · doi:10.1111/desc.13323 · Cited by 13 · see citing works
Darki, F., Nyström, P., McAlonan, G. M., Bölte, S., & Falck‐Ytter, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab069 · Cited by 11 · see citing works
Shukla, A., Ware, A. L., Guo, S., Goodyear, B. G., Beauchamp, M. H., Zemek, R. L., Craig, W. R., Doan, Q. H., Beaulieu, C., Yeates, K. O., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102887 · Cited by 12 · see citing works
Ringshaw, J. E., Hendrikse, C. J., Wedderburn, C. J., Bradford, L. E., Williams, S. R., Nyakonda, C. N., Subramoney, S., Lake, M. T., Burd, T., Hoffman, N., et al. (2025) · BMC Medicine · doi:10.1186/s12916-024-03838-6 · Cited by 11 · see citing works
Tackling myelin deficits in neurodevelopmental disorders using drug delivery systems
Rokach, M., Portioli, C., Brahmachari, S., Estevão, B. M., Decuzzi, P., & Barak, B. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115218 · Cited by 11 · see citing works
Ćirović, M., Jeličić, L., Maksimović, S., Fatić, S., Marisavljević, M., Matić, T. B., & Subotić, M. (2023) · Diagnostics · doi:10.3390/diagnostics13182878 · Cited by 10 · see citing works
The Neurobiology of Zika Virus: New Models, New Challenges
Moura, L. M., Ferreira, V. L. D. R., Loureiro, R. M., de Paiva, J. P. Q., Rosa‐Ribeiro, R., Amaro, E., Soares, M. B. P., & Machado, B. S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.654078 · Cited by 9 · see citing works
Aging pattern of the brainstem based on volumetric measurement and optimized surface shape analysis
Hu, M., Xu, F., Liu, S., Yao, Y., Xia, Q., Zhu, C., Zhang, X., Tang, H., Qaiser, Z., Liu, S., et al. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00840-z · Cited by 10 · see citing works
Baumeister, T. R., Lin, S., Vavasour, I. M., Kolind, S., Kosaka, B., Li, D. K. B., Traboulsee, A. L., MacKay, A. L., & McKeown, M. J. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101926 · Cited by 10 · see citing works
Brown, L. E., Tallon, M., Bellgrove, M., Rudaizky, D., Kendall, G., Boyes, M., & Myers, B. (2025) · Child Psychiatry and Human Development · doi:10.1007/s10578-025-01815-5 · Cited by 6 · see citing works
Altered myelination in youth born with congenital heart disease
Easson, K., Gilbert, G., Rohlicek, C. V., Saint‐Martin, C., Descoteaux, M., Deoni, S., & Brossard‐Racine, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.25866 · Cited by 8 · see citing works
Self-citationGaillard, L., Tjaberinga, M. C., Dremmen, M. H. G., Mathijssen, I. M. J., & Vrooman, H. A. (2024) · Journal of Anatomy · doi:10.1111/joa.14028 · Cited by 11 · see citing works
A systematic review of MRI studies of language development from birth to 2 years of age
Silver, E. A., Korja, R., Mainela‐Arnold, E., Pulli, E. P., Saukko, E., Nolvi, S., Kataja, E., Karlsson, L., Karlsson, H., & Tuulari, J. J. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22792 · Cited by 9 · see citing works
Spatiotemporal dynamics of nonhuman primate white matter development during the first year of life
Aggarwal, N., Moody, J. F., Dean, D., Tromp, D., Kecskemeti, S. R., Oler, J. A., Alexander, A. L., & Kalin, N. H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117825 · Cited by 9 · see citing works
Self-citationImaging affective and non-affective touch processing in two-year-old children
Maria, A., Hirvi, P., Kotilahti, K. M., Heiskala, J., Tuulari, J. J., Karlsson, L., Karlsson, H., & Nissila, I. T. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118983 · Cited by 9 · see citing works
Dynamic Interplay between Social Brain Development and Nutrient Intake in Young Children
Kanellopoulos, A. K., Costello, S., Mainardi, F., Koshibu, K., Deoni, S., & Schneider, N. (2023) · Nutrients · doi:10.3390/nu15173754 · Cited by 10 · see citing works
Self-citationVerger, N. B., Roberts, J., Guiller, J., & McAloney‐Kocaman, K. (2024) · The Journal of Creative Behavior · doi:10.1002/jocb.632 · Cited by 8 · see citing works
Koç, D., Marroun, H. E., Stricker, B. H. C., Muetzel, R. L., & Tiemeier, H. W. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.10.009 · Cited by 9 · see citing works
D’Angiulli, A., Pham, D. A. T., Leisman, G., & Goldfield, G. S. (2020) · Brain Sciences · doi:10.3390/brainsci10020124 · Cited by 8 · see citing works
Thomas, M. B., Raghava, J. M., Pantelis, C., Rostrup, E., Nielsen, M. Ø., Jensen, M. H., Glenthoj, B. Y., Mandl, R. C. W., Ebdrup, B. H., & Fagerlund, B. (2021) · Cortex · doi:10.1016/j.cortex.2021.03.003 · Cited by 9 · see citing works
It’s About Time: Towards a Longitudinal Cognitive Neuroscience of IntelligencePreprint
Kievit, R., & Simpson-Kent, I. L. (2019) · doi:10.31234/osf.io/n2yg7 · Cited by 8 · see citing works
Characterisation of the neonatal brain using myelin-sensitive magnetisation transfer imaging
Blesa, M., Vaher, K., York, E. N., Galdi, P., Sullivan, G., Stoye, D. Q., Hall, J., Corrigan, A. E., Quigley, A. J., Waldman, A. D., et al. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00017 · Cited by 8 · see citing works
Microbiome’s effect on white matter in autism
Canada, K., Evans, T. M., & Pelphrey, K. A. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00607.2024 · Cited by 7 · see citing works
- Authors
- 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.
- Affiliations
- Brown University (US)
- King's College London (GB)
- University of Minnesota (US)
- Gates Foundation (US)
- Corresponding author
- Deoni, Sean C. L.
- ORCID
- Venue
- Brain Structure and Function
- Published
- 2014-11-29
- Volume
- 221
- Issue
- 2
- Pages
- 1189-1203
- ISSN
- 1863-2653 (ISSN-L)
- 1863-2661
- PMC
- PMC4771819
- OpenAlex
- W2000113085
- Cited by
- 147
- References
- 78
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 10 · 2023: 22 · 2022: 17 · 2021: 19 · 2020: 16 · 2019: 11 · 2018: 14 · 2017: 5 · 2016: 5 · 2015: 6
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain Structure and Function (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, cc-by)
- Funders
- Bill and Melinda Gates Foundation
- Wellcome Trust (096195)
- National Institute of Mental Health (R01MH087510)
- 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
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- white matter maturation, myelination, cognitive ability, early childhood, infancy, brain development, white matter plasticity, intelligence, longitudinal brain development
- MeSH terms
- Brain, Brain Mapping, Child Development, Child, Preschool, Cognition, Female, Forecasting, Humans, Infant, Intelligence, Magnetic Resonance Imaging, Male, Myelin Sheath, Nerve Fibers, Myelinated, Case-Control Studies, 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review