Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age
Open accessAbstract
Cortical thickness (CT) is related to normal development and neurodevelopmental disorders. It remains largely unclear how the characteristic patterns of CT evolve in the first 2 years. In this paper, we systematically characterized for the first time the detailed vertex-wise patterns of spatial distribution, longitudinal development, and hemispheric asymmetries of CT at 0, 1, and 2 years of age, via surface-based analysis of 219 longitudinal magnetic resonance images from 73 infants. Despite the dynamic increase of CT in the first year and the little change of CT in the second year, we found that the overall spatial distribution of thin and thick cortices was largely present at birth, and evolved only modestly during the first 2 years. Specifically, the precentral gyrus, postcentral gyrus, occipital cortex, and superior parietal region had thin cortices, whereas the prefrontal, lateral temporal, insula, and inferior parietal regions had thick cortices. We revealed that in the first year thin cortices exhibited low growth rates of CT, whereas thick cortices exhibited high growth rates. We also found that gyri were thicker than sulci, and that the anterior bank of the central sulcus was thicker than the posterior bank. Moreover, we showed rightward hemispheric asymmetries of CT in the lateral temporal and posterior insula regions at birth, which shrank gradually in the first 2 years, and also leftward asymmetries in the medial prefrontal, paracentral, and anterior cingulate cortices, which expanded substantially during this period. This study provides the first comprehensive picture of early patterns and evolution of CT during infancy.
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?
Regional heterogeneity of cortical thickness seen in adults is established at birth and persists through age two into adulthood.
“Regional heterogeneity of cortical thickness observed in adults is well established at birth and persists through age 2 years into adulthood4,26.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [26]
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
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · see citing works
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,789 · 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 nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068 · see citing works
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · see citing works
(1909) · Cited by 2,575 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819 · see citing works
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644 · see citing works
Toga, A. W., & Thompson, P. M. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1009 · Cited by 1,498 · 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
Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447 · see citing works
Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness
Panizzon, M. S., Fennema-Notestine, C., Eyler, L. T., Jernigan, T. L., Prom-Wormley, E., Neale, M., Jacobson, K., Lyons, M. J., Grant, M. D., Franz, C. E., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp026 · Cited by 1,304 · see citing works
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Knickmeyer, R. C., Gouttard, S., Kang, C., Evans, D., Wilber, K., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., & Gilmore, J. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3479-08.2008 · Cited by 1,151 · see citing works
Self-citationIndividual Variability in Functional Connectivity Architecture of the Human Brain
Mueller, S., Wang, D., Fox, M., Yeo, B. T. T., Sepulcre, J., Sabuncu, M. R., Shafee, R., Lu, J., & Liu, H. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.028 · Cited by 1,142 · see citing works
HAMMER: hierarchical attribute matching mechanism for elastic registration
Shen, D. G., & Davatzikos, C. A. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.803111 · Cited by 1,089 · see citing works
Self-citationMedical Image Computing and Computer Assisted Intervention – MICCAI 2018
Frangi, A. F., Schnabel, J. A., Davatzikos, C. A., Alberola-López, C., & Fichtinger, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00937-3 · Cited by 1,049 · see citing works
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI
MacDonald, D. J., Kabani, N. J., Avis, D., & Evans, A. C. (2000) · NeuroImage · doi:10.1006/nimg.1999.0534 · Cited by 850 · see citing works
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811 · see citing works
Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712 · see citing works
High Consistency of Regional Cortical Thinning in Aging across Multiple Samples
Fjell, A. M., Westlye, L. T., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B. R., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn232 · Cited by 702 · see citing works
Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695 · see citing works
Parcellations and Hemispheric Asymmetries of Human Cerebral Cortex Analyzed on Surface-Based Atlases
Van Essen, D. C., Glasser, M. F., Dierker, D. L., Harwell, J., & Coalson, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr291 · Cited by 616 · see citing works
Mapping Changes in the Human Cortex throughout the Span of Life
Sowell, E. R., Thompson, P. M., & Toga, A. W. (2004) · The Neuroscientist · doi:10.1177/1073858404263960 · Cited by 572 · see citing works
A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging
Hutton, C., Draganski, B., Ashburner, J., & Weiskopf, N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.043 · Cited by 566 · see citing works
Infant 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 · see citing works
Self-citationPrimary cortical folding in the human newborn: an early marker of later functional development
Dubois, J., Benders, M. J. N. L., Borradori-Tolsa, C., Cachia, A., Lazeyras, F., Leuchter, R. H., Sizonenko, S. V., Warfield, S. K., Mangin, J., & Hüppi, P. S. (2008) · Brain · doi:10.1093/brain/awn137 · Cited by 490 · see citing works
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 · see citing works
Self-citationLongitudinal changes in cortical thickness in autism and typical development
Zielinski, B. A., Prigge, M. B. D., Nielsen, J. A., Froehlich, A. L., Abildskov, T. J., Anderson, J. S., Fletcher, P. T., Zygmunt, K. M., Travers, B. G., Lange, N., et al. (2014) · Brain · doi:10.1093/brain/awu083 · Cited by 378 · 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-citationUnified univariate and multivariate random field theory
Worsley, K. J., Taylor, J. E., Tomaiuolo, F., & Lerch, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.026 · Cited by 370 · see citing works
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration
Yeo, B. T. T., Sabuncu, M. R., Vercauteren, T. K., Ayache, N., Fischl, B. R., & Golland, P. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2030797 · Cited by 345 · see citing works
Cortical Volume, Surface Area, and Thickness in Schizophrenia and Bipolar Disorder
Rimol, L. M., Nesvåg, R., Hagler, D. J., Bergmann, Ø., Fennema‐Notestine, C., Hartberg, C. B., Haukvik, U. K., Lange, E., Pung, C. J., Server, A., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.026 · Cited by 339 · see citing works
Neuroanatomical Assessment of Biological Maturity
Brown, T. T., Kuperman, J. M., Chung, Y., Erhart, M., McCabe, C., Hagler, D. J., Venkatraman, V. K., Akshoomoff, N., Amaral, D. G., Bloss, C. S., et al. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.002 · Cited by 332 · see citing works
Hill, J., Dierker, D. L., Neil, J. J., Inder, T. E., Knutsen, A. K., Harwell, J., Coalson, T. S., & Essen, D. C. V. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4682-09.2010 · Cited by 294 · see citing works
Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome
Thompson, P. M., Lee, A. D., Dutton, R. A., Geaga, J. A., Hayashi, K. M., Eckert, M. A., Bellugi, U., Galaburda, A. M., Korenberg, J. R., Mills, D. L., et al. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0165-05.2005 · Cited by 290 · see citing works
The Cytoarchitectonics of the Human Cerebral Cortex.
(1929) · JAMA · doi:10.1001/jama.1929.02710100056050 · Cited by 283 · see citing works
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 · see citing works
Self-citationShaw, P., Lalonde, F., Lepage, C., Rabin, C., Eckstrand, K., Sharp, W., Greenstein, D., Evans, A., Giedd, J. N., & Rapoport, J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.103 · Cited by 249 · cited 3× · see citing works
“We showed that hemispheric asymmetries of CT existed at birth and evolved substantially thereafter, which is consistent with the reports that CT asymmetries were age related (Shaw et al., 2009; Zhou et al., 2013).”
BackgroundResultCRUISE: Cortical reconstruction using implicit surface evolution
Han, X., Pham, D. L., Tosun, D., Rettmann, M. E., Xu, C., & Prince, J. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.043 · Cited by 232 · see citing works
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 · see citing works
Self-citationAmlien, I., Fjell, A., Tamnes, C., Grydeland, H., Krogsrud, S. K., Chaplin, T. A., Rosa, M., & Walhovd, K. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu214 · Cited by 180 · see citing works
Hemispheric Asymmetries in Cortical Thickness
Eileen Luders, A., Narr, K. L., Thompson, P. M., Rex, D., Jäncke, L., & Toga, A. W. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj064 · Cited by 176 · see citing works
Segmentation of neonatal brain MR images using patch-driven level sets
Wang, L., Shi, F., Li, G., Gao, Y., Lin, W., Gilmore, J. H., & Shen, D. G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.008 · Cited by 173 · see citing works
Self-citationGeneral multivariate linear modeling of surface shapes using SurfStat
Chung, M. K., Worsley, K. J., Nacewicz, B. M., Dalton, K. M., & Davidson, R. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.032 · Cited by 159 · see citing works
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 158 · see citing works
Self-citationEarly Maturation of the Linguistic Dorsal Pathway in Human Infants
Leroy, F., Glasel, H., Dubois, J., Hertz‐Pannier, L., Thirion, B., Mangin, J., & Dehaene‐Lambertz, G. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4141-10.2011 · Cited by 145 · see citing works
Kaas, J. H. (2020) · Elsevier eBooks · doi:10.1016/c2019-0-01198-3 · Cited by 143 · see citing works
Li, G., Nie, J., Wang, L., Shi, F., Lyall, A., Lin, W.-L., Gilmore, J., & Shen, D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs413 · Cited by 139 · see citing works
Self-citationSpatial 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 · see citing works
Self-citationShi, F., Yap, P., Gao, W., Lin, W., Gilmore, J. H., & Shen, D. G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.026 · Cited by 130 · see citing works
Self-citationAutomatic segmentation of neonatal images using convex optimization and coupled level sets
Wang, L., Shi, F., Lin, W., Gilmore, J. H., & Shen, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.06.064 · Cited by 130 · see citing works
Self-citationLi, 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 126 · see citing works
Self-citationSharpMean: Groupwise registration guided by sharp mean image and tree-based registration
Guorong Wu, A., Jia, H., Wang, Q., & Shen, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.050 · Cited by 120 · see citing works
Self-citationMeyer, M. E., Liem, F., Hirsiger, S., Jäncke, L., & Hänggi, J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht094 · Cited by 120 · see citing works
Frontal connections and cognitive changes in normal aging rhesus monkeys: A DTI study.
Makris, N., Papadimitriou, G. M., van der Kouwe, A., Kennedy, D. N., Hodge, S. M., Dale, A. M., Benner, T., Wald, L. L., Wu, O., Tuch, D. S., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.005 · Cited by 115 · see citing works
Cortical thickness asymmetry from childhood to older adulthood
Zhou, D., Lebel, C. A., Evans, A. C., & Beaulieu, C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.073 · Cited by 106 · see citing works
Learning-based deformable registration of MR brain images
Wu, G., Qi, F., & Shen, D. G. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.879320 · Cited by 106 · see citing works
Self-citationConsistent reconstruction of cortical surfaces from longitudinal brain MR images
Li, G., Nie, J., Guorong Wu, A., Wang, Y., & Shen, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.012 · Cited by 103 · see citing works
Self-citationPlessen, K. J., Hugdahl, K., Bansal, R., Hao, X., & Peterson, B. S. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3692-13.2014 · Cited by 93 · see citing works
Late Preterm Birth: A Review of Medical and Neuropsychological Childhood Outcomes
Baron, I. S., Litman, F. R., Ahronovich, M. D., & Baker, R. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9210-5 · Cited by 85 · see citing works
The Human Brain During the Third Trimester
Bayer, S. A., & Altman, J. (2003) · CRC Press eBooks · doi:10.1201/9780203494943 · Cited by 83 · see citing works
Longitudinally guided level sets for consistent tissue segmentation of neonates
Wang, L., Shi, F., Yap, P., Lin, W., Gilmore, J. H., & Shen, D. G. (2011) · Human Brain Mapping · doi:10.1002/hbm.21486 · Cited by 79 · see citing works
Self-citationEffects of Preterm Birth on Cortical Thickness Measured in Adolescence
Nagy, Z., Lagercrantz, H., & Hutton, C. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq095 · Cited by 73 · see citing works
Location of the central sulcus via cortical thickness of the precentral and postcentral gyri on MR.
Meyer, J. R., Roychowdhury, S., Russell, E. J., Callahan, C., Gitelman, D. R., & Mesulam, M. M. (1996) · PubMed Central · Cited by 72 · see citing works
Development of cortical anatomical properties from early childhood to early adulthood
Nie, J., Li, G., & Shen, D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.021 · Cited by 70 · see citing works
Self-citationAutomatic cortical sulcal parcellation based on surface principal direction flow field tracking
Li, G., Guo, L., Nie, J., & Liu, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.039 · Cited by 65 · see citing works
Self-citationCortical asymmetries in normal, mild cognitive impairment, and Alzheimer's disease
Kim, J. H., Lee, J., Kim, G. H., Roh, J. H., Kim, M., Seo, S. W., Kim, S. T., Jeon, S., Lee, M.-J., Heilman, K. M., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.06.026 · Cited by 63 · see citing works
Koelkebeck, K., Miyata, J., Kubota, M., Kohl, W., Son, S., Fukuyama, H., Sawamoto, N., Takahashi, H., & Murai, T. (2014) · Human Brain Mapping · doi:10.1002/hbm.22601 · Cited by 61 · see citing works
Cortical thickness and surface area in neonates at high risk for schizophrenia
Li, G., Wang, L., Shi, F., Lyall, A. E., Ahn, M., Peng, Z., Hongtu Zhu, B., Lin, W., Gilmore, J. H., & Shen, D. G. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0917-3 · Cited by 59 · see citing works
Self-citationNie, J., Li, G., Wang, L., Shi, F., Lin, W., Gilmore, J. H., & Shen, D. G. (2013) · Human Brain Mapping · doi:10.1002/hbm.22432 · Cited by 53 · see citing works
Self-citationA Computational Growth Model for Measuring Dynamic Cortical Development in the First Year of Life
Nie, J., Li, G., Wang, L., Gilmore, J. H., Lin, W., & Shen, D. G. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr293 · Cited by 52 · see citing works
Self-citationKang, X., Herron, T. J., Cate, A. D., Yund, E. W., & Woods, D. L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045582 · Cited by 40 · see citing works
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants
Li, G., Wang, L., Shi, F., Lin, W., & Shen, D. G. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.06.007 · Cited by 33 · see citing works
Self-citationLi, G., Wang, L., Shi, F., Lin, W., & Shen, D. G. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10443-0_12 · Cited by 16 · see citing works
Self-citationDevelopment of the entorhinal cortex inMacaca rhesus during ontogeny
Николаевна, Б. И. (1984) · Neuroscience and Behavioral Physiology · doi:10.1007/bf01148722 · Cited by 2 · see citing works
Cortical thickness and surface area in neonates at high risk for schizophrenia
Peng, Z., Lin, W., Wang, L., et al. (2020) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/ajtq-ax54 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
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
Self-citationSydnor, V. J., Larsen, B., Bassett, D. S., Alexander‐Bloch, A. F., Fair, D. A., Liston, C. M., Mackey, A. P., Milham, M. P., Pines, A. R., Roalf, D. R., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.016 · Cited by 725 · see citing works
Makropoulos, A., Robinson, E. C., Schuh, A., Wright, R., Fitzgibbon, S. P., Božek, J., Counsell, S. J., Steinweg, J. K., Vecchiato, K., Passerat‐Palmbach, J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.054 · Cited by 561 · see citing works
Environmental influences on the pace of brain development
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00457-5 · Cited by 488 · see citing works
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
Rudolph, 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 · see citing works
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 259 · see citing works
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 169 · see citing works
Self-citationRemer, 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 · see citing works
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 160 · see citing works
Roe, J. M., Dídac Vidal-piñeiro, A., Sørensen, Ø., Brandmaier, A. M., Düzel, S., Gonzalez, H. A., Kievit, R., Knights, E., Kühn, S., Lindenberger, U., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21057-y · Cited by 150 · see citing works
Wang, L., Wu, Z., Chen, L., Sun, Y., Lin, W., & Li, G. (2023) · Nature Protocols · doi:10.1038/s41596-023-00806-x · Cited by 133 · see citing works
Self-citationNorbom, L. B., Ferschmann, L., Parker, N., Agartz, I., Andreassen, O. A., Paus, T., Westlye, L. T., & Tamnes, C. K. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102109 · Cited by 122 · see citing works
Developmental topography of cortical thickness during infancy
Wang, F., Lian, C., Wu, Z., Zhang, H., Li, T., Meng, Y., Wang, L., Lin, W., Shen, D. G., & Li, G. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821523116 · Cited by 122 · see citing works
Self-citationCornelissen, L., Kim, S., Lee, J. M., Brown, E. N., Purdon, P. L., & Berde, C. B. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.01.037 · Cited by 95 · see citing works
Environmental Influences on Infant Cortical Thickness and Surface Area
Jha, S., Xia, K., Ahn, M., Girault, J., Li, G., Wang, L., Shen, D., Zou, F., Zhu, H.-T., Styner, M., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy020 · Cited by 81 · see citing works
Self-citationSpherical U-Net on Cortical Surfaces: Methods and Applications
Zhao, F., Xia, S., Wu, Z., Duan, D., Wang, L., Lin, W., Gilmore, J. H., Shen, D. G., & Li, G. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20351-1_67 · Cited by 84 · 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
Lebenberg, J., Mangin, J.-F., Thirion, B., Poupon, C., Hertz-Pannier, L., Leroy, F., Adibpour, P., Dehaene-Lambertz, G., & Dubois, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.022 · Cited by 65 · see citing works
Hines, M., Spencer, D., Kung, K. T., Browne, W. V., Constantinescu, M., & Noorderhaven, R. M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.02.008 · Cited by 74 · see citing works
Early contributions to infants’ mental rotation abilities
Constantinescu, M., Moore, D. S., Johnson, S. P., & Hines, M. (2017) · Developmental Science · doi:10.1111/desc.12613 · Cited by 72 · see citing works
Dubois, J., Lefèvre, J., Angleys, H., Leroy, F., Fischer, C., Lebenberg, J., Dehaene‐Lambertz, G., Borradori-Tolsa, C., Lazeyras, F., Hertz‐Pannier, L., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.005 · Cited by 71 · see citing works
The Age of Reason: Functional Brain Network Development during Childhood
Tooley, U. A., Park, A. T., Leonard, J., Boroshok, A. L., McDermott, C. L., Tisdall, M. D., Bassett, D. S., & Mackey, A. P. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0511-22.2022 · Cited by 74 · see citing works
Hu, D., Zhang, H., Wu, Z., Wang, F., Wang, L., Smith, J. K., Lin, W., Li, G., & Shen, D. G. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3013825 · Cited by 68 · see citing works
Self-citationConejero, Á., Guerra, S., Abundis‐Gutiérrez, A., & Rueda, M. R. (2018) · Developmental Science · doi:10.1111/desc.12494 · Cited by 62 · see citing works
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction
Zhao, F., Wu, Z., Wang, L., Lin, W., Gilmore, J. H., Xia, S., Shen, D. G., & Li, G. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3050072 · Cited by 63 · see citing works
Self-citationCortical thickness change in autism during early childhood: CT in Early Childhood ASD
Smith, E., Thurm, A., Greenstein, D., Farmer, C., Swedo, S., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23195 · Cited by 53 · see citing works
Spatiotemporal Atlas of the Fetal Brain Depicts Cortical Developmental Gradient
Xu, X., Sun, C., Sun, J., Shi, W., Shen, Y., Zhao, R., Luo, W., Li, M., Wang, G., & Wu, D. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1285-22.2022 · Cited by 59 · see citing works
Minipuberty: Looking Back to Understand Moving Forward
Lucaccioni, L., Trevisani, V., Boncompagni, A., Marrozzini, L., Berardi, A., & Iughetti, L. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2020.612235 · Cited by 59 · see citing works
Cortical thickness systematically varies with curvature and depth in healthy human brains
Demirci, N., & Holland, M. A. (2022) · Human Brain Mapping · doi:10.1002/hbm.25776 · Cited by 58 · see citing works
Structural and functional asymmetry of the neonatal cerebral cortex
Williams, L. Z. J., Fitzgibbon, S. P., Božek, J., Winkler, A. M., Dimitrova, R., Poppe, T., Schuh, A., Makropoulos, A., Cupitt, J., O’Muircheartaigh, J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01542-8 · Cited by 57 · see citing works
Insula sub-regions across the psychosis spectrum: morphology and clinical correlates
Sheffield, J. M., Huang, A. S., Rogers, B. P., Blackford, J. U., Heckers, S., & Woodward, N. D. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01461-0 · Cited by 46 · see citing works
Gyral net: A new representation of cortical folding organization
Chen, H., Li, Y., Ge, F., Li, G., Shen, D. G., & Liu, T. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.001 · Cited by 51 · see citing works
Self-citationWu, Z., Wang, L., Lin, W., Gilmore, J. H., Li, G., & Shen, D. G. (2019) · Human Brain Mapping · doi:10.1002/hbm.24636 · Cited by 50 · see citing works
Self-citationCortical Structure and Cognition in Infants and Toddlers
Girault, J. B., Cornea, E. A., Goldman, B. D., Jha, S. C., Murphy, V. A., Li, G., Wang, L., Shen, D. G., Knickmeyer, R. C., Styner, M. A., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz126 · Cited by 46 · see citing works
Self-citationDeveloping brain asymmetry shapes cognitive and psychiatric outcomes in adolescence
Zhang, J., Wu, X., Zhang, K., Kuang, N., Kong, X., Cao, M., Zhang, Y., Lian, Z., Yu, G., Fan, H., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59110-9 · Cited by 45 · see citing works
Cortical thickness lateralization and its relation to language abilities in children
Qi, T., Schaadt, G., & Friederici, A. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100704 · Cited by 7 · see citing works
Brossard‐Racine, M., Poretti, A., Murnick, J. G., Bouyssi-Kobar, M., McCarter, R., du Plessis, A. J., & Limperopoulos, C. (2016) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2016.10.034 · Cited by 42 · see citing works
Frew, S., Samara, A., Shearer, H., Eilbott, J. A., & Vanderwal, T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265112 · Cited by 39 · see citing works
Fine-grained functional parcellation maps of the infant cerebral cortex
Wang, F., Zhang, H., Wu, Z., Hu, D., Zhou, Z., Girault, J. B., Wang, L., Lin, W., & Li, G. (2023) · eLife · doi:10.7554/elife.75401 · Cited by 40 · see citing works
Self-citationDuan, D., Xia, S., Rekik, I., Meng, Y., Wu, Z., Wang, L., Lin, W., Gilmore, J. H., Shen, D. G., & Li, G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.041 · Cited by 40 · see citing works
Self-citationMulti-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data
Adeli, E., Meng, Y., Li, G., Lin, W., & Shen, D. G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.052 · Cited by 39 · see citing works
Self-citationMapping hemispheric asymmetries of the macaque cerebral cortex during early brain development
Xia, J., Wang, F., Wu, Z.-W., Wang, L., Zhang, C.-M., Shen, D., & Li, G. (2019) · Human Brain Mapping · doi:10.1002/hbm.24789 · Cited by 35 · see citing works
Self-citationAnatomo-functional correlates of auditory development in infancy
Adibpour, P., Lebenberg, J., Kabdebon, C., Dehaene‐Lambertz, G., & Dubois, J. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100752 · Cited by 37 · see citing works
Cai, L., Dong, Q., Wang, M., & Niu, H. (2019) · Neurophotonics · doi:10.1117/1.nph.6.2.025005 · Cited by 36 · see citing works
The chaotic morphology of the left superior temporal sulcus is genetically constrained
Guen, Y. L., Leroy, F., Auzias, G., Rivière, D., Grigis, A., Mangin, J., Coulon, O., Dehaene‐Lambertz, G., & Frouin, V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.046 · Cited by 34 · see citing works
Roe, J. M., Vidal-Piñeiro, D., Amlien, I., Pan, M., Sneve, M., de Schotten, M. T., Friedrich, P., Sha, Z., Francks, C., Eilertsen, E., et al. (2023) · eLife · doi:10.7554/elife.84685 · Cited by 6 · see citing works
Li, G., Liu, T., Ni, D., Lin, W., Gilmore, J. H., & Shen, D. G. (2015) · Human Brain Mapping · doi:10.1002/hbm.23003 · Cited by 32 · see citing works
Self-citationTW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation
Zhang, S., Ren, B., Yu, Z., Yang, H., Han, X., Chen, X., Zhou, Y., Shen, D. G., & Zhang, X. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3225475 · Cited by 32 · see citing works
Self-citationMimicking Cortex Convolutions Through the Wrinkling of Growing Soft Bilayers
Amar, M. B., & Bordner, A. (2017) · Journal of Elasticity · doi:10.1007/s10659-017-9622-9 · Cited by 31 · see citing works
The Timing of Brain Maturation, Early Experience, and the Human Social Niche
Finlay, B. L., & Uchiyama, R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00134-2 · Cited by 31 · see citing works
The Cambridge Handbook of Infant Development
Lockman, J. J., Hertz, D., Tamis-LeMonda, C. S., Brain, B. C., Context..........................................., Rey, J., Falck-Ytter, T., Jones, E., Maurer, D., Cirelli, L., et al. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959 · Cited by 30 · see citing works
Lu, J., Zhang, Z., Wu, P., Liang, X., Zhang, H., Hong, J., Clement, C., Yen, T., Ding, S., Wang, M., et al. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103416 · Cited by 29 · see citing works
Wang, L., Li, G., Adeli, E., Liu, M., Wu, Z., Meng, Y., Lin, W., & Shen, D. G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24027 · Cited by 28 · see citing works
Self-citationWoodburn, M., Bricken, C. L., Wu, Z., Li, G., Wang, L., Lin, W., Sheridan, M. A., & Cohen, J. R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118232 · Cited by 29 · see citing works
Self-citationLiu, M., Lepage, C., Kim, S. Y., Jeon, S., Kim, S. H., Simon, J. P., Tanaka, N., Yuan, S., Islam, T., Peng, B., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.650082 · Cited by 25 · see citing works
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features
Hu, D., Wu, Z., Lin, W., Li, G., & Shen, D. G. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2897020 · Cited by 26 · see citing works
Self-citationThe Development of Multisensory Attention Skills
Bahrick, L. E., Lickliter, R., & Todd, J. T. T. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.011 · Cited by 24 · see citing works
Folding drives cortical thickness variations
Holland, M. A., Budday, S., Li, G., Shen, D. G., Goriely, A., & Ellen Kuhl, A. (2020) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2020-000001-6 · Cited by 23 · see citing works
Self-citationvan der Plas, E. A. A., Noakes, L. S., Butcher, D. T., Weksberg, R., Galin-Corini, L., Wanstall, E. A., Te, P., Hopf, L., Guger, S., Spiegler, B. J., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102428 · Cited by 22 · see citing works
Yang, J., Li, X., Liu, F., Nie, D., Lió, P., Qi, H., & Shen, D. G. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3227262 · Cited by 22 · see citing works
Self-citationCortical signatures in behaviorally clustered autistic traits subgroups: a population-based study
Mihailov, A., Philippe, C., Gloaguen, A., Grigis, A., Laidi, C., Piguet, C., Houenou, J., & Frouin, V. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00894-3 · Cited by 21 · see citing works
Meng, Y., Li, G., Gao, Y., Lin, W., & Shen, D. G. (2016) · Human Brain Mapping · doi:10.1002/hbm.23301 · Cited by 21 · see citing works
Self-citationKurth, F., Schijven, D., van den Heuvel, O. A., Hoogman, M., van Rooij, D., Stein, D. J., Buitelaar, J., Bölte, S., Auzias, G., Kushki, A., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.26754 · Cited by 17 · see citing works
Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?
Meng, Y., Li, G., Rekik, I., Zhang, H., Gao, Y., Lin, W., & Shen, D. G. (2017) · Human Brain Mapping · doi:10.1002/hbm.23555 · Cited by 19 · see citing works
Self-citationDevelopment and emergence of functional network asymmetry in 3- to 9-month-old infants
Liu, G., Huo, E., Liu, H., Jia, G., Zhi, Y., Dong, Q., & Niu, H. (2022) · Cortex · doi:10.1016/j.cortex.2022.06.009 · Cited by 18 · see citing works
Development of BOLD Response to Motion in Human Infants
Biagi, L., Tosetti, M., Crespi, S. A., & Morrone, M. C. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0837-22.2023 · Cited by 17 · see citing works
Liu, M., Duffy, B. A., Sun, Z., Toga, A. W., Barkovich, A. J., Xu, D., & Kim, H. (2020) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi45749.2020.9098556 · Cited by 17 · see citing works
Chen, L., Wang, Y., Wu, Z., Shan, Y., Li, T., Hung, S., Xing, L., Hongtu Zhu, B., Wang, L., Lin, W., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38974-9 · Cited by 17 · see citing works
Self-citationA systematic review of interventions to ameliorate the impact of adversity on brain development
McDermott, C. L., Norton, E. S., & Mackey, A. P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105391 · Cited by 16 · see citing works
Salminen, L. E., Wilcox, R. R., Zhu, A. H., Riedel, B. C., Ching, C. R. K., Rashid, F. M., Thomopoulos, S. I., Saremi, A., Harrison, M. B., Ragothaman, A., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz060 · Cited by 16 · see citing works
Surface-constrained volumetric registration for the early developing brain
Ahmad, S., Wu, Z., Li, G., Wang, L., Lin, W., Yap, P., & Shen, D. G. (2019) · Medical Image Analysis · doi:10.1016/j.media.2019.101540 · Cited by 14 · see citing works
Self-citationAge-related changes in diffuse optical tomography sensitivity profiles in infancy
Fu, X., & Richards, J. E. (2021) · PLoS ONE · doi:10.1371/journal.pone.0252036 · Cited by 15 · see citing works
Liao, Z., Banaschewski, T., Bokde, A. L. W., Desriviéres, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., et al. (2023) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2306990120 · Cited by 15 · see citing works
Fu, X., & Richards, J. E. (2021) · Neurophotonics · doi:10.1117/1.nph.8.3.035003 · Cited by 14 · see citing works
Infant Emotion Development and Temperament
Aktar, E., & Pérez‐Edgar, K. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.026 · Cited by 14 · see citing works
Roe, J. M., Dídac Vidal-piñeiro, A., Sørensen, Ø., Brandmaier, A. M., Düzel, S., Gonzalez, H. A., Kievit, R., Knights, E., Kühn, S., Lindenberger, U., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.18.158980 · Cited by 13 · see citing works
Wang, Y., Hu, D., Wu, Z., Wang, L., Huang, W., & Li, G. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab448 · Cited by 11 · see citing works
Self-citationThe Timing of Brain Maturation, Early Experience, and the Human Social Niche
Finlay, B. L., & Uchiyama, R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820584-6.00034-9 · Cited by 11 · see citing works
Feng, Y.-X., Collignon, O., Maurer, D. M., Yao, K., & Gao, X. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.752021 · Cited by 11 · see citing works
Cross-Cultural Perspectives on Parent–Infant Interactions
Bornstein, M. H., & Esposito, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.029 · Cited by 11 · see citing works
Morphometric Analysis of Brain in Newborn with Congenital Diaphragmatic Hernia
Lucignani, M., Longo, D., Fontana, E., Rossi‐Espagnet, M. C., Lucignani, G., Savelli, S., Bascetta, S., Sgrò, S., Morini, F., Giliberti, P., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11040455 · Cited by 11 · see citing works
Machine-learning based prediction of future outcome using multimodal MRI during early childhood
Ouyang, M., Whitehead, M. T., Mohapatra, S., Zhu, T., & Huang, H. (2024) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2024.101561 · Cited by 12 · see citing works
Mihailov, A., Padula, M. C., Scariati, E., Schaer, M., Schneider, M., & D, S. E. M. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.01.031 · Cited by 10 · see citing works
Xia, J., Wang, F., Wang, Y., Wang, L., & Li, G. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2303313120 · Cited by 10 · see citing works
Self-citationCharting structural brain asymmetry across the human lifespanPreprint
Dorfschmidt, L., White, S. R., Gardner, M., Bedford, S. A., Ball, G., Edwards, A. D., Gu, Y., He, Y., Huang, H., Karandikar, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.21.665924 · Cited by 13 · see citing works
Rekik, I., Li, G., Lin, W., & Shen, D. G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.037 · Cited by 9 · see citing works
Self-citationRichards, J. E., & Conte, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.004 · Cited by 9 · see citing works
Gu, Y., Pan, Y., Fang, Z., Ma, L., Zhu, Y., Androjna, C., Zhong, K., Yu, X., & Shen, D. G. (2023) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29905 · Cited by 8 · see citing works
Self-citationDemirci, N., & Holland, M. A. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad462 · Cited by 9 · see citing works
Huang, S., Zhang, X., Cui, Z., Zhang, H., Chen, G., & Shen, D. G. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3337338 · Cited by 8 · see citing works
Self-citationEarly Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality
Zhang, Y., Banihashemi, L., Versace, A., Samolyk, A., Taylor, M., English, G. E., Schmithorst, V. J., Lee, V., Stiffler, R. S., Aslam, H. A., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.04.001 · Cited by 8 · see citing works
Rachwani, J., Hoch, J. E., & Adolph, K. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.017 · Cited by 8 · see citing works
Functional brain activity is highly associated with cortical myelination in neonates
Huang, Z., Gao, W., Wu, Z., Li, G., & Nie, J. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac321 · Cited by 8 · see citing works
Self-citationConejero, Á., Rico‐Picó, J., Moyano, S., Hoyo, Á., & Rueda, M. R. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.983361 · Cited by 8 · see citing works
Infant Object Manipulation and Play
Tamis‐LeMonda, C. S., & Lockman, J. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.019 · Cited by 8 · see citing works
Kinney, H. C., & Volpe, J. J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-42876-7.00007-7 · Cited by 8 · see citing works
Complementary cortical gray and white matter developmental patterns in healthy, preterm neonates
Rajagopalan, V., Scott, J. A., Liu, M., Poskitt, K. J., Chau, V., Miller, S. P., & Studholme, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23618 · Cited by 8 · see citing works
Xia, K., Schmitt, J. E., Jha, S. C., Girault, J. B., Cornea, E. A., Li, G., Shen, D. G., Styner, M. A., & Gilmore, J. H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab213 · Cited by 6 · see citing works
Self-citationInfant Vocal Learning and Speech Production
Warlaumont, A. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.022 · Cited by 7 · see citing works
- Authors
- Li, G., Lin, W., Gilmore, J. H., & Shen, D.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Korea University (KR)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-06-17
- Volume
- 35
- Issue
- 24
- Pages
- 9150-9162
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4469740
- OpenAlex
- W1489066826
- Cited by
- 164
- References
- 78
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 11 · 2023: 18 · 2022: 12 · 2021: 22 · 2020: 44 · 2019: 11 · 2018: 17 · 2017: 12 · 2016: 7 · 2015: 2
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute on Aging (R01AG041721, AG041721)
- National Institute of Mental Health (MH100217, MH088520, U01MH070890, RC1MH088520, MH064065, R01MH100217, MH070890, P50MH064065, R01MH070890)
- National Institute of Neurological Disorders and Stroke (NS055754, R01NS055754)
- National Institute of Biomedical Imaging and Bioengineering (EB006733, EB009634, R03EB008760, EB008374, R01EB008374, EB008760, R01EB009634, R01EB006733)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD053000, HD053000)
- 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
- cortical thickness, infant brain development, hemispheric lateralization, central sulcus, lateral temporal cortex, posterior insula, prefrontal cortex, anterior cingulate cortex, first two years of life
- MeSH terms
- Brain Mapping, Cerebral Cortex, Child Development, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Functional Laterality, Longitudinal Studies, Magnetic Resonance Imaging, Male
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