The DOI matches its Crossref record; 63 of the 65 references it cites were found in a registry or an index.
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Open accessAbstract
Brain development in the first 2 years after birth is extremely dynamic and likely plays an important role in neurodevelopmental disorders, including autism and schizophrenia. Knowledge regarding this period is currently quite limited. We studied structural brain development in healthy subjects from birth to 2. Ninety-eight children received structural MRI scans on a Siemens head-only 3T scanner with magnetization prepared rapid gradient echo T1-weighted, and turbo spin echo, dual-echo (proton density and T2 weighted) sequences: 84 children at 2–4 weeks, 35 at 1 year and 26 at 2 years of age. Tissue segmentation was accomplished using a novel automated approach. Lateral ventricle, caudate, and hippocampal volumes were also determined. Total brain volume increased 101% in the first year, with a 15% increase in the second. The majority of hemispheric growth was accounted for by gray matter, which increased 149% in the first year; hemispheric white matter volume increased by only 11%. Cerebellum volume increased 240% in the first year. Lateral ventricle volume increased 280% in the first year, with a small decrease in the second. The caudate increased 19% and the hippocampus 13% from age 1 to age 2. There was robust growth of the human brain in the first two years of life, driven mainly by gray matter growth. In contrast, white matter growth was much slower. Cerebellum volume also increased substantially in the first year of life. These results suggest the structural underpinnings of cognitive and motor development in early childhood, as well as the potential pathogenesis of neurodevelopmental disorders.
Overview
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
Verification
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?
In the citing paper
“doubling in volume during the first year and reaching 80–90% of adult volume by age 3 (Courchesne et al., 2000; Knickmeyer et al., 2008).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Knickmeyer et al., 2008
In the citing paper
“Recently, however, imaging studies in early childhood have begun to illuminate the extremely rapid pace of postnatal structural and functional brain development3–6.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [3]
In the citing paper
“Brain volume is about 35% of adult volume 2–3 weeks after birth after birth13, doubles from term size in the first year of life and increases an additional 15% in the second to about 80% of adult size3.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [3]
In the citing paper
“From birth to age 1, cortical grey-matter volume increases 108–149%, whereas white matter increases by about 11%; from age 1 to age 2 years, grey matter increases 14–19%, whereas white matter increases by 19%3.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [3]
In the citing paper
“Lateral ventricle volume increases by over 100% in year 1, but subsequently decreases by 7–24% in the second year of life3, 10, 19.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [3]
In the citing paper
“Grey and white matter have different growth trajectories soon after birth, with rapid development of grey-matter volume compared to white-matter volume, which increases much more gradually15,3.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [3]
In the citing paper
“In general, studies suggest a complex pattern of development that varies based on anatomical location and cortical metric.”
From Quantifying cortical development in typically developing toddlers and young children, 1–6 years of age (2017) · cites this paper as Knickmeyer et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868
Self-citationBrain 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
The cerebellar cognitive affective syndrome
Schmahmann, J. (1998) · Brain · doi:10.1093/brain/121.4.561 · Cited by 3,230
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging
Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863
(1967) · Medical Entomology and Zoology · Cited by 1,713
Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study
Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., Chisum, H. J., Moses, P., Pierce, K., Lord, C., et al. (2001) · Neurology · doi:10.1212/wnl.57.2.245 · Cited by 1,487
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
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Schizophrenia as a Disorder of Neurodevelopment
Lewis, D. A., & Levitt, P. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142754 · Cited by 1,163
Research works printed but not linked: 2
- 10.1080/02770930290056541 · DOI
- Sampaio RC Truwit CL (2001) in Handbook of developmental cognitive neuroscience, Myelination in the developing brain, eds Nelson CA Luciana M (MIT, Cambridge, MA), pp 35–44.
Cited by
Sorted by citations
Brain charts for the human lifespan
Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022) · Nature · doi:10.1038/s41586-022-04554-y · Cited by 1,794
Self-citationNormal development of brain circuits
Tau, G. Z., & Peterson, B. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.115 · Cited by 1,391
Imaging structural co-variance between human brain regions
Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064
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
Self-citationDubois, 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
Neurodevelopmental model of schizophrenia: update 2012
Rapoport, J. L., Giedd, J. N., & Gogtay, N. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.23 · Cited by 790
Biological embedding of childhood adversity: from physiological mechanisms to clinical implications
Berens, A. E., Jensen, S. K. G., & Nelson, C. A. (2017) · BMC Medicine · doi:10.1186/s12916-017-0895-4 · Cited by 657
“Dramatic growth in gray and white matter occurs in the first 2 years of life, when the brain attains 80–90% of its adult volume before continuing to grow at an attenuated rate [22, 23].”
BackgroundA review of adversity, the amygdala and the hippocampus: a consideration of developmental timing
Tottenham, N. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.068.2009 · Cited by 651
Early Adverse Experiences and the Developing Brain
Bick, J., & Nelson, C. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.252 · Cited by 559
Infant gut microbiome associated with cognitive development
Carlson, A. L., Xia, K., Azcarate-Peril, M. A., Goldman, B. D., Ahn, M., Styner, M. A., Thompson, A. L., Geng, X., Gilmore, J. H., & Knickmeyer, R. C. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.06.021 · Cited by 541
Self-citationInfant Brain Atlases from Neonates to 1- and 2-Year-Olds
Shi, F., Yap, P., Guorong Wu, A., Jia, H., Gilmore, J. H., Lin, W., & Shen, D. G. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018746 · Cited by 530
Self-citationPreference for geometric patterns early in life as a risk factor for autism
Pierce, K., Conant, D., Hazin, R., Stoner, R., & Desmond, J. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.113 · Cited by 486
“Furthermore, the infant brain is undergoing an explosion of activity during the first year of life, a period when the number of synapses reaches a peak in many areas that is twice that of the adult(15) and brain volume doubles in size in comparison with birth.(16) Given the active pace of brain development during the…”
Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1242-09.2009 · Cited by 480
Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years
Gilmore, J. H., Shi, F., Woolson, S. L., Knickmeyer, R. C., Short, S. J., Lin, W., Zhu, H., Hamer, R. M., Styner, M., & Shen, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr327 · Cited by 456
Self-citationRole of lutein and zeaxanthin in visual and cognitive function throughout the lifespan
Johnson, E. J. (2014) · Nutrition Reviews · doi:10.1111/nure.12133 · Cited by 444
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
Howell, B., Styner, M. A., Gao, W., Yap, P., Wang, L., Baluyot, K., Yacoub, E. S., Chen, G., Potts, T., Salzwedel, A., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.049 · Cited by 452
Self-citationFamily Poverty Affects the Rate of Human Infant Brain Growth
Hanson, J. L., Hair, N., Shen, D. G., Shi, F., Gilmore, J. H., Wolfe, B. L., & Pollak, S. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080954 · Cited by 430
Self-citationGrayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411
“2A), doubling in volume during the first year and reaching 80–90% of adult volume by age 3 (Courchesne et al., 2000; Knickmeyer et al., 2008).”
BackgroundNetwork-level structural covariance in the developing brain
Zielinski, B. A., Gennatas, E. D., Zhou, J., & Seeley, W. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003109107 · Cited by 405
Sex differences in the developing brain: insights from multimodal neuroimaging
Kaczkurkin, A. N., Raznahan, A., & Satterthwaite, T. D. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-018-0111-z · Cited by 403
Global health and development in early childhood
Aboud, F. E., & Yousafzai, A. K. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015128 · Cited by 398
Annual Research Review: Parenting and children’s brain development: the end of the beginning
Belsky, J., & de Haan, M. D. H. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02281.x · Cited by 440
Impact of maternal diet on human milk composition and neurological development of infants
Innis, S. M. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.072595 · Cited by 410
Gao, W., Alcauter, S., Elton, A., Hernandez-Castillo, C. R., Smith, J. K., Ramirez, J., & Lin, W. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu088 · Cited by 380
Self-citationUematsu, A., Matsui, M., Tanaka, C., Takahashi, T., Noguchi, K., Suzuki, M., & Nishijo, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046970 · Cited by 378
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
Self-citationRudolph, M. D., Graham, A. M., Feczko, E., Miranda-Dominguez, O., Rasmussen, J. M., Nardos, R., Entringer, S., Wadhwa, P. D., Buss, C., & Fair, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0128-y · Cited by 374
Motor Symptoms and Schizophrenia
Walther, S., & Strik, W. K. (2012) · Neuropsychobiology · doi:10.1159/000339456 · Cited by 381
Functional Connectivity of the Infant Human Brain
Gao, W., Lin, W., Grewen, K., & Gilmore, J. H. (2016) · The Neuroscientist · doi:10.1177/1073858416635986 · Cited by 387
Self-citationTeffer, K., & Semendeferi, K. (2012) · Progress in brain research · doi:10.1016/b978-0-444-53860-4.00009-x · Cited by 367
Perinatal iron deficiency and neurocognitive development
Radlowski, E. C., & Johnson, R. W. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00585 · Cited by 315
Gennatas, E. D., Avants, B. B., Wolf, D. H., Satterthwaite, T. D., Ruparel, K., Ciric, R., Hakonarson, H., Gur, R. E., & Gur, R. C. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3550-16.2017 · Cited by 302
Variation in Reported Human Head Tissue Electrical Conductivity Values
McCann, H. M., Pisano, G., & Beltrachini, L. (2019) · Brain Topography · doi:10.1007/s10548-019-00710-2 · Cited by 321
Brain development and aging: Overlapping and unique patterns of change
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., Westlye, L. T., Roddey, J. C., Hagler, D. J., Due-Tønnessen, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.039 · Cited by 287
Guorong Wu, A., Kim, M., Wang, Q., Munsell, B. C., & Shen, D. G. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2496253 · Cited by 283
Neural histology and neurogenesis of the human fetal and infant brain
Kostović, I., Sedmak, G., & Judáš, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.043 · Cited by 272
Li, G., Wang, L., Shi, F., Lyall, A. E., Lin, W., Gilmore, J. H., & Shen, D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3976-13.2014 · Cited by 251
Self-citationBuss, C., Entringer, S., Moog, N. K., Toepfer, P., Fair, D. A., Simhan, H. N., Heim, C. M., & Wadhwa, P. D. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.03.001 · Cited by 250
Delineation of early brain development from fetuses to infants with diffusion MRI and beyond
Ouyang, M., Dubois, J., Yu, Q., Mukherjee, P., & Huang, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.017 · Cited by 257
Structural Growth Trajectories and Rates of Change in the First 3 Months of Infant Brain Development
Holland, D., Chang, L., Ernst, T. M., Curran, M., Buchthal, S. D., Alicata, D., Skranes, J., Johansen, H., Hernandez, A., Yamakawa, R., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1638 · Cited by 242
Effects of poverty on interacting biological systems underlying child development
Jensen, S. K. G., Berens, A. E., & Nelson, C. A. (2017) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(17)30024-x · Cited by 260
Diffusion tensor imaging for understanding brain development in early life
Qiu, A., Mori, S., & Miller, M. I. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015340 · Cited by 238
Kempton, M. J., Stahl, D. R., Williams, S., & DeLisi, L. E. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.03.036 · Cited by 233
Development of Thalamocortical Connectivity during Infancy and Its Cognitive Correlations
Alcauter, S., Lin, W., Smith, J. K., Short, S. J., Goldman, B. D., Reznick, J. S., Gilmore, J. H., & Gao, W. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0796-14.2014 · Cited by 228
Self-citationMRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances
Dubois, J., Alison, M., Counsell, S. J., Hertz‐Pannier, L., Hüppi, P. S., & Benders, M. J. N. L. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27192 · Cited by 226
Brain anatomical networks in early human brain development
Fan, Y., Shi, F., Smith, J. K., Lin, W., Gilmore, J. H., & Shen, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.025 · Cited by 225
Self-citationDuration of early adversity and structural brain development in post-institutionalized adolescents
Hodel, A. S., Hunt, R. H., Cowell, R. A., Van Den Heuvel, S. E., Gunnar, M. R., & Thomas, K. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.020 · Cited by 220
Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age
Li, G., Nie, J., Wang, L., Shi, F., Lin, W., Gilmore, J. H., & Shen, D. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs265 · Cited by 220
Self-citationGousias, I. S., Edwards, A. D., Rutherford, M., Counsell, S. J., Hajnal, J. V., Rueckert, D., & Hammers, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.083 · Cited by 219
Quantitative tract-based white matter development from birth to age 2 years
Geng, X., Gouttard, S., Sharma, A., Gu, H., Styner, M., Lin, W., Gerig, G., & Gilmore, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.057 · Cited by 212
Self-citationde Cock, E. S. A., Henrichs, J., Klimstra, T. A., Maas, A. J. B. M., Vreeswijk, C. M. J. M., Meeus, W., & van Bakel, H. J. A. (2017) · Journal of Child and Family Studies · doi:10.1007/s10826-017-0679-7 · Cited by 207
Moran, N. E., Mohn, E. S., Hason, N., Erdman, J. W., & Johnson, E. J. (2018) · Advances in Nutrition · doi:10.1093/advances/nmy025 · Cited by 205
Neurodevelopmental Abnormalities and Congenital Heart Disease
Morton, P. D., Ishibashi, N., & Jonas, R. A. (2017) · Circulation Research · doi:10.1161/circresaha.116.309048 · Cited by 211
Gunz, P., Neubauer, S., Golovanova, L., Doronichev, V., Maureille, B., & Hublin, J.-J. (2012) · Journal of Human Evolution · doi:10.1016/j.jhevol.2011.11.013 · Cited by 197
Neonatal brain image segmentation in longitudinal MRI studies
Shi, F., Yong Fan, A., Songyuan, T., Gilmore, J. H., Lin, W., & Shen, D. G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.066 · Cited by 202
Self-citationHeijtz, R. D. (2016) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2016.04.012 · Cited by 201
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation
Nie, D., Wang, L., Adeli, E., Lao, C., Lin, W., & Shen, D. G. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2797905 · Cited by 192
Self-citationBrain Growth of the Domestic Pig (Sus scrofa) from 2 to 24 Weeks of Age: A Longitudinal MRI Study
Conrad, M. S., Dilger, R. N., & Johnson, R. W. (2012) · Developmental Neuroscience · doi:10.1159/000339311 · Cited by 187
Jansen, A. G., Mous, S. E., White, T., Posthuma, D., & Polderman, T. J. C. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9278-9 · Cited by 184
Priming for Life: Early Life Nutrition and the Microbiota-Gut-Brain Axis
Ratsika, A., Codagnone, M. G., O’Mahony, S. M., Stanton, C., & Cryan, J. F. (2021) · Nutrients · doi:10.3390/nu13020423 · Cited by 194
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
Padilla, N., Falcón, C., Cortés, M. S., Figueras, F., Bargalló, N., Crispi, F., Eixarch, E., Arranz, Á., Botet, F., & Gratacós, E. (2011) · Brain Research · doi:10.1016/j.brainres.2011.01.032 · Cited by 182
Wade, M., Prime, H., Jenkins, J. M., Yeates, K. O., Williams, T. S., & Lee, K. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1459-0 · Cited by 203
Form and function of sleep spindles across the lifespan
Clawson, B. C., Durkin, J., & Aton, S. J. (2016) · Neural Plasticity · doi:10.1155/2016/6936381 · Cited by 178
“By 4 months of age, there is greater distribution to frontotemporal regions, with higher levels of asynchrony in those areas; by 12 months, these spindles become more synchronous, possibly due to the increase in cerebral cortex white and gray matter by 88% during the first year of life [11, 113].”
BackgroundStructural and Maturational Covariance in Early Childhood Brain Development
Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H., & Gilmore, J. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw022 · Cited by 175
Self-citationStaff, R. T., Murray, A. D., Ahearn, T. S., Mustafa, N., Fox, H. C., & Whalley, L. J. (2012) · Annals of Neurology · doi:10.1002/ana.22631 · Cited by 170
Computational neuroanatomy of baby brains: A review
Li, G., Wang, L., Yap, P., Wang, F., Wu, Z., Meng, Y., Dong, P., Kim, J., Shi, F., Rekik, I., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.042 · Cited by 172
Self-citationLocal Tissue Growth Patterns Underlying Normal Fetal Human Brain Gyrification QuantifiedIn Utero
Rajagopalan, V., Scott, J. A., Habas, P. A., Kim, K., Corbett-Detig, J., Rousseau, F., Barkovich, A. J., Glenn, O. A., & Studholme, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5458-10.2011 · Cited by 166
Long-term sleep disturbances in children: A cause of neuronal loss
Jan, J. E., Reiter, R. J., Bax, M. C. O., Ribary, U., Freeman, R. D., & Wasdell, M. B. (2010) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2010.05.001 · Cited by 172
Li, G., Lin, W., Gilmore, J. H., & Shen, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4107-14.2015 · Cited by 164
Self-citationModeling 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
Complex Trajectories of Brain Development in the Healthy Human Fetus
Andescavage, N. N., du Plessis, A., McCarter, R., Serag, A., Evangelou, I., Vezina, G., Robertson, R., & Limperopoulos, C. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw306 · Cited by 163
Batallé, D., Eixarch, E., Figueras, F., Muñoz‐Moreno, E., Bargalló, N., Illa, M., Acosta‐Rojas, R., Amat‐Roldan, I., & Gratacós, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.059 · Cited by 162
Rapid infant prefrontal cortex development and sensitivity to early environmental experience
Hodel, A. S. (2018) · Developmental Review · doi:10.1016/j.dr.2018.02.003 · Cited by 177
Brain Fuel Utilization in the Developing Brain
Steiner, P. (2019) · Annals of Nutrition and Metabolism · doi:10.1159/000508054 · Cited by 164
LABEL: Pediatric brain extraction using learning-based meta-algorithm
Shi, F., Wang, L., Dai, Y., Gilmore, J. H., Lin, W., & Shen, D. G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.042 · Cited by 160
Self-citationDutil, C., Walsh, J. J., Featherstone, R. B., Gunnell, K. E., Tremblay, M. S., Gruber, R., Weiss, S. K., Côté, K. A., Sampson, M., & Chaput, J. (2018) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2018.08.003 · Cited by 155
Evolution of deep gray matter volume across the human lifespan
Narvacan, K., Treit, S., Camicioli, R. M., Martin, W. R. W., & Beaulieu, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23604 · Cited by 160
Remer, J., Croteau-Chonka, E., Dean, D. C., D’Arpino, S., Dirks, H., Whiley, D., & Deoni, S. C. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.010 · Cited by 152
Common Variants in Psychiatric Risk Genes Predict Brain Structure at Birth
Knickmeyer, R. C., Wang, J., Zhu, H., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Lin, W., Styner, M., & Gilmore, J. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs401 · Cited by 149
Self-citationHuman amygdala development in the absence of species‐expected caregiving
Tottenham, N. (2012) · Developmental Psychobiology · doi:10.1002/dev.20531 · Cited by 149
Mechanisms of Action and Persistent Neuroplasticity by Drugs of Abuse
Korpi, E. R., den Hollander, B., Farooq, U., Vashchinkina, E., Rajkumar, R., Nutt, D. J., Hyytiä, P., & Dawe, G. S. (2015) · Pharmacological Reviews · doi:10.1124/pr.115.010967 · Cited by 148
Developmental changes in cerebral grey and white matter volume from infancy to adulthood
Groeschel, S., Vollmer, B., King, M. D., & Connelly, A. (2010) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2010.06.004 · Cited by 147
Qiu, A., Adler, M. C., Crocetti, D., Miller, M. I., & Mostofsky, S. H. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.02.012 · Cited by 146
ALL OUR SONS: THE DEVELOPMENTAL NEUROBIOLOGY AND NEUROENDOCRINOLOGY OF BOYS AT RISK
Schore, A. N. (2017) · Infant Mental Health Journal · doi:10.1002/imhj.21616 · Cited by 153
Sotiras, A., Toledo, J. B., Gur, R. E., Gur, R. C., Satterthwaite, T. D., & Davatzikos, C. A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620928114 · Cited by 148
Associations Between Household Food Insecurity in Early Childhood and Children's Kindergarten Skills
Johnson, A. D., & Markowitz, A. J. (2017) · Child Development · doi:10.1111/cdev.12764 · Cited by 140
The Pharmacological Effects of Lutein and Zeaxanthin on Visual Disorders and Cognition Diseases
Jia, Y.-P., Sun, L., Yu, H., Liang, L.-P., Li, W., Ding, H., Song, X.-B., & Zhang, L.-J. (2017) · Molecules · doi:10.3390/molecules22040610 · Cited by 146
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications
Li, G., Wang, L., Shi, F., Gilmore, J. H., Lin, W., & Shen, D. G. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.04.005 · Cited by 139
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
Self-citationScott, J. A., Schumann, C. M., Goodlin‐Jones, B. L., & Amaral, D. G. (2009) · Autism Research · doi:10.1002/aur.97 · Cited by 134
A review on brain structures segmentation in magnetic resonance imaging
González-Villà, S., Oliver, A., Valverde, S., Wang, L., Reyer Zwiggelaar, A., & Lladó, X. (2016) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2016.09.001 · Cited by 136
Multiscale Structure–Function Gradients in the Neonatal Connectome
Larivière, S., de Wael, R. V., Hong, S., Paquola, C., Tavakol, S., Lowe, A. J., Schrader, D. V., & Bernhardt, B. C. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz069 · Cited by 136
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants
Meng, Y., Li, G., Lin, W., Gilmore, J. H., & Shen, D. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.004 · Cited by 131
Self-citationTamnes, C. K., Walhovd, K. B., Torstveit, M., Sells, V. T., & Fjell, A. M. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.05.001 · Cited by 131
Payne, C., Machado, C. J., Bliwise, N. G., & Bachevalier, J. (2010) · Hippocampus · doi:10.1002/hipo.20688 · Cited by 129
“One investigation reported a 13% hippocampal volume increases between 1 and 2 yrs of age (collapsed across sexes) that disappeared when measurements were corrected for gross maturational changes of the brain (Knickmeyer et al., 2008).”
BackgroundResultInfluentialGao, W., Salzwedel, A. P., Carlson, A. L., Xia, K., Azcarate-Peril, M. A., Styner, M. A., Thompson, A. L., Geng, X., Goldman, B. D., Gilmore, J. H., et al. (2019) · Psychopharmacology · doi:10.1007/s00213-018-5161-8 · Cited by 135
Self-citationVestibular activity and cognitive development in children: perspectives
Vacher, S. R. W., Hamilton, D. A., & Wiener, S. I. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00092 · Cited by 142
Li, G., Nie, J., Wang, L., Shi, F., Gilmore, J. H., Lin, W., & Shen, D. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.038 · Cited by 127
Self-citationInfant Sleep Predicts Attention Regulation and Behavior Problems at 3–4 Years of Age
Sadeh, A., Marcas, G. D., Guri, Y., Berger, A., Tikotzky, L., & Bar‐Haim, Y. (2015) · Developmental Neuropsychology · doi:10.1080/87565641.2014.973498 · Cited by 131
Metadata
- Authors
- Knickmeyer, R. C., Gouttard, S., Kang, C., Evans, D., Wilber, K., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., & Gilmore, J. H.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- University of Utah (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2008-11-19
- Volume
- 28
- Issue
- 47
- Pages
- 12176-12182
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2884385
- OpenAlex
- W2018077021
- Cited by
- 1,151
- References
- 65
- Citations by year
- 2026: 67 · 2025: 82 · 2024: 85 · 2023: 79 · 2022: 71 · 2021: 99 · 2020: 112 · 2019: 80 · 2018: 75 · 2017: 58 · 2016: 55 · 2015: 61 · 2014: 57 · 2013: 44 · 2012: 46
- FWCI
- 23.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institutes of Health (UL1TR000454)
- National Institute of Mental Health (HD053000, MH064065, T32MH019111, P50MH064065, MH019111)
- National Center for Research Resources (UL1RR025008)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD053000, #HD03110, HD053000, P30HD003110, HD-40127, T32HD040127)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain development, early childhood, cerebellum, lateral ventricle, caudate nucleus, hippocampus, total brain volume, neurodevelopmental disorders, autism spectrum disorder, schizophrenia
- MeSH terms
- Age Factors, Brain, Brain Mapping, Child, Preschool, Female, Humans, Image Processing, Computer-Assisted, Infant, Infant, Newborn, Magnetic Resonance Imaging, Male, Pregnancy
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
