Quantitative in vivo MRI measurement of cortical development in the fetus
Abstract
Normal brain development is associated with expansion and folding of the cerebral cortex following a highly orchestrated sequence of gyral-sulcal formation. Although several studies have described the evolution of cerebral cortical development ex vivo or ex utero, to date, very few studies have characterized and quantified the gyrification process for the in vivo fetal brain. Recent advances in fetal magnetic resonance imaging and post-processing computational methods are providing new insights into fetal brain maturation in vivo. In this study, we investigate the in vivo fetal cortical folding pattern in healthy fetuses between 25 and 35 weeks gestational age using 3-D reconstructed fetal cortical surfaces. We describe the in vivo fetal gyrification process using a robust feature extraction algorithm applied directly on the cortical surface, providing an explicit delineation of the sulcal pattern during fetal brain development. We also delineate cortical surface measures, including surface area and gyrification index. Our data support an exuberant third trimester gyrification process and suggest a non-linear evolution of sulcal development. The availability of normative indices of cerebral cortical developing in the living fetus may provide critical insights on the timing and progression of impaired cerebral development in the high-risk fetus.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
A study of healthy fetuses at 25-35 GW shows an exuberant third-trimester gyrification process and suggests a non-linear evolution of sulcal development.
“A study of healthy fetuses at 25–35 GW shows an exuberant third-trimester gyrification process and suggests a non-linear evolution of sulcal development [53].”
From Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy (2024) · cites this paper as [53]
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398 · see citing works
Measures of the Amount of Ecologic Association Between Species
Dice, L. R. (1945) · Ecology · doi:10.2307/1932409 · Cited by 12,153 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Fundamentals of digital image processing
Jain, A. K. (1988) · Cited by 7,000 · 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
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
Self-citationSpecification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · 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
Gyral development of the human brain
Je, G., Dooling, E. C., & Gilles, F. H. (1977) · Annals of Neurology · doi:10.1002/ana.410010109 · Cited by 1,099 · 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
Self-citationThe human pattern of gyrification in the cerebral cortex
Zilles, K., Armstrong, E., Schleicher, A., & Hj, K. (1988) · Anatomy and Embryology · doi:10.1007/bf00304699 · Cited by 731 · see citing works
Limperopoulos, C., Tworetzky, W., McElhinney, D. B., Newburger, J. W., Brown, D. W., Robertson, R. L., Guizard, N., McGrath, E., Geva, J., Annese, D., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.865568 · Cited by 663 · see citing works
Self-citationThe Ontogeny of Human Gyrification
Armstrong, E., Schleicher, A., Omran, H., Curtis, M., & Zilles, K. (1995) · Cerebral Cortex · doi:10.1093/cercor/5.1.56 · Cited by 646 · see citing works
Mechanical Model of Brain Convolutional Development
Richman, D. P., Stewart, R. M., Hutchinson, J. W., & Caviness, V. S. (1975) · Science · doi:10.1126/science.1135626 · Cited by 575 · see citing works
The NIH MRI study of normal brain development
Evans, A. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.068 · Cited by 523 · 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
Self-citationMapping the Early Cortical Folding Process in the Preterm Newborn Brain
Dubois, J., Benders, M. J. N. L., Cachia, A., Lazeyras, F., Leuchter, R. H., Sizonenko, S. V., Borradori-Tolsa, C., Mangin, J., & Hüppi, P. S. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm180 · Cited by 468 · see citing works
An unbiased iterative group registration template for cortical surface analysis
Lyttelton, O. C., Boucher, M., Robbins, S. M., & Evans, A. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.041 · Cited by 415 · see citing works
Self-citationA curvature-based approach to estimate local gyrification on the cortical surface
Eileen Luders, A., Thompson, P. M., Narr, K. L., Toga, A. W., Jäncke, L., & Christian Gaser, B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.049 · Cited by 375 · see citing works
Genetic variability of human brain size and cortical gyral patterns
Bartley, A. J. (1997) · Brain · doi:10.1093/brain/120.2.257 · Cited by 355 · see citing works
Gholipour, A., Estroff, J. A., & Warfield, S. K. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2051680 · Cited by 351 · see citing works
Self-citationThree-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346 · 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
Fetal cerebral cortex: normal gestational landmarks identified using prenatal MR imaging.
Garel, C., Chantrel, E., Brisse, H. J., Elmaleh, M., Luton, D., Oury, J., Sebag, G. H., & Hassan, M. (2001) · PubMed Central · Cited by 286 · see citing works
Axons Pull on the Brain, But Tension Does Not Drive Cortical Folding
Xu, G., Knutsen, A. K., Dikranian, K. T., Kroenke, C. D., Bayly, P. V., & Taber, L. A. (2010) · Journal of Biomechanical Engineering · doi:10.1115/1.4001683 · Cited by 280 · see citing works
A novel cubic-order algorithm for approximating principal direction vectors
Goldfeather, J., & Interrante, V. (2004) · ACM Transactions on Graphics · doi:10.1145/966131.966134 · Cited by 278 · see citing works
Registration-Based Approach for Reconstruction of High-Resolution In Utero Fetal MR Brain Images
Rousseau, F., Glenn, O. A., Iordanova, B. E., Rodriguez-Carranza, C. E., Vigneron, D. B., Barkovich, A. J., & Studholme, C. (2006) · Academic Radiology · doi:10.1016/j.acra.2006.05.003 · Cited by 240 · see citing works
Régis, J. M., Mangin, J., Ochiai, T., Frouin, V., Rivière, D., Cachia, A., Tamura, M., & Samson, Y. (2005) · Neurologia medico-chirurgica · doi:10.2176/nmc.45.1 · Cited by 224 · see citing works
Kostović, I., & Judáš, M. (2002) · The Anatomical Record · doi:10.1002/ar.10069 · Cited by 215 · see citing works
Automatic recognition of cortical sulci of the human brain using a congregation of neural networks
Rivière, D., Mangin, J., Orfanos, D. P., Martinez, J., Frouin, V., & Régis, J. M. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00052-x · Cited by 215 · see citing works
The embryonic human brain : an atlas of developmental stages
O’Rahilly, R., & Müller, F. (2006) · Cited by 203 · see citing works
The Prenatal Origin of Hemispheric Asymmetry: An In Utero Neuroimaging Study
Kasprian, G. J., Langs, G., Brugger, P. C., Bittner, M., Weber, M., Arantes, M., & Prayer, D. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq179 · Cited by 189 · see citing works
Fast and robust detection of crest lines on meshes
Yoshizawa, S., Belyaev, A. G., & Seidel, H. (2005) · ACM Symposium on Solid and Physical Modeling (SPM) · doi:10.1145/1060244.1060270 · Cited by 188 · see citing works
Deep Sulcal Landmarks Provide an Organizing Framework for Human Cortical Folding
Lohmann, G., von Cramon, D. Y., & Colchester, A. C. F. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm174 · Cited by 185 · see citing works
Local 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 · see citing works
Habas, P. A., Kim, K., Corbett-Detig, J., Rousseau, F., Glenn, O. A., Barkovich, A. J., & Studholme, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.054 · Cited by 160 · see citing works
Structural asymmetries of perisylvian regions in the preterm newborn
Dubois, J., Benders, M. J. N. L., Lazeyras, F., Borradori-Tolsa, C., Leuchter, R. H., Mangin, J., & Hüppi, P. S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.054 · Cited by 156 · see citing works
ESTIMATING CURVATURE ON TRIANGULAR MESHES
Gatzke, T., & Grimm, C. M. (2006) · International Journal of Shape Modeling · doi:10.1142/s0218654306000810 · Cited by 148 · see citing works
Depth potential function for folding pattern representation, registration and analysis
Boucher, M., Whitesides, S. H., & Evans, A. C. (2008) · Medical Image Analysis · doi:10.1016/j.media.2008.09.001 · Cited by 125 · see citing works
Self-citationDifferential growth between the fetal brain and its infratentorial part
Guihard-Costa, A.-M., & Larroche, J. (1990) · Early Human Development · doi:10.1016/0378-3782(90)90126-4 · Cited by 111 · see citing works
Lee, J. K., Lee, J.-M., Kim, J. S., Kim, I. Y., Evans, A. C., & Kim, S. I. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.044 · Cited by 108 · see citing works
Self-citationExtraction of Feature Lines on Triangulated Surfaces Using Morphological Operators
Rössl, C., Ossl, C. R., Kobbelt, L., Seidel, H., & Stadtwald, I. (2000) · Cited by 106 · see citing works
Barron, D. H. (1950) · Journal of Experimental Zoology · doi:10.1002/jez.1401130304 · Cited by 97 · see citing works
Quantitative MRI measurements of human fetal brain development in utero
Grossman, R., Hoffman, C., Mardor, Y., & Biegon, A. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.005 · Cited by 89 · see citing works
Measures of folding applied to the development of the human fetal brain
Batchelor, P. G., Smith, A. D., Hill, D., Hawkes, D. J., Cox, T. C. S., & Dean, A. F. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.803108 · Cited by 89 · see citing works
Fetal brain volumetry through MRI volumetric reconstruction and segmentation
Gholipour, A., Estroff, J. A., Barnewolt, C. E., Connolly, S. A., & Warfield, S. K. (2010) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-010-0512-x · Cited by 78 · see citing works
Self-citation3D global and regional patterns of human fetal subplate growth determined in utero
Corbett-Detig, J., Habas, P. A., Scott, J. A., Kim, K., Rajagopalan, V., McQuillen, P. S., Barkovich, A. J., Glenn, O. A., & Studholme, C. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0286-5 · Cited by 72 · see citing works
Investigation of normal organ development with fetal MRI
Prayer, D., & Brugger, P. C. (2007) · European Radiology · doi:10.1007/s00330-007-0604-3 · Cited by 66 · see citing works
Shankle, W. R., Landing, B. H., Rafii, M. S., Schiano, A. V. R., Chen, J., & Hara, J. (1998) · Journal of Theoretical Biology · doi:10.1006/jtbi.1997.0570 · Cited by 60 · see citing works
Advancing Fetal Brain MRI: Targets for the Future
Limperopoulos, C., & Clouchoux, C. (2009) · Seminars in Perinatology · doi:10.1053/j.semperi.2009.04.002 · Cited by 52 · see citing works
Self-citationGeometric atlas: modeling the cortex as an organized surface
Toro, R., & Burnod, Y. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.008 · Cited by 49 · see citing works
MR Volumetry of Brain and CSF in Fetuses Referred for Ventriculomegaly
Kazan-Tannus, J. F., Dialani, V. M., Kataoka, M. L., Chiang, G. C.-Y., Feldman, H. A., Brown, J. S., & Levine, D. (2007) · American Journal of Roentgenology · doi:10.2214/ajr.07.2073 · Cited by 46 · see citing works
Fetal MRI: what is the future?
Garel, C. (2008) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.5249 · Cited by 37 · see citing works
Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition
Lefèvre, J., Leroy, F., Khan, S., Dubois, J., Hüppi, P. S., Baillet, S., & Mangin, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02498-6_21 · Cited by 30 · see citing works
Model-driven parameterization of the cortical surface for localization and inter-subject matching
Clouchoux, C., Rivière, D., Mangin, J., Operto, G., Régis, J. M., & Coulon, O. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.048 · Cited by 27 · see citing works
Self-citationMorphological regionalization using fetal magnetic resonance images of normal developing brains
Hu, H., Guo, W., Chen, H., Wang, P., Hung, C., Hsieh, J., & Wu, Y. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06707.x · Cited by 26 · see citing works
Zhang, Z., Liu, S., Lin, X., Sun, B., Yu, T., & Geng, H. (2010) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2010.05.001 · Cited by 25 · see citing works
In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging
Jiang, S., Xue, H., Counsell, S. J., Anjari, M., Allsop, J. M., Rutherford, M., Rueckert, D., & Hajnal, J. V. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_3 · Cited by 21 · see citing works
Awate, S. P., Yushkevich, P. A., Song, Z., Licht, D. J., & Gee, J. C. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02498-6_46 · Cited by 21 · see citing works
3D Feature Line Detection Based on Vertex Labeling and 2D Skeletonization
Kudelski, D., Mari, J.-L., & Viseur, S. (2010) · doi:10.1109/smi.2010.35 · Cited by 16 · see citing works
Self-citationA novel approach for high-resolution image reconstruction for in-vivo fetal brain MRI
Clouchoux, C., Pierrick Coupé, A., Manjón, J. V., Guizard, N., Bouyssi-Kobar, M., Lefebvre, M., du Plessis, A. J., Evans, A., & Limperopoulos, C. (2010) · Cited by 3 · see citing works
Self-citationClouchoux, C., Kudelski, D., Bouyssi-Kobar, M., Viseur, S., du Plessis, A., Evans, A. C., Mari, J.-L., & Limperopoulos, C. (2010) · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Sydnor, 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
Neurodevelopmental Outcomes After Cardiac Surgery in Infancy
Gaynor, J. W., Stopp, C., Wypij, D., Andropoulos, D. B., Atallah, J., Atz, A. M., Beca, J., Donofrio, M. T., Duncan, K., Ghanayem, N. S., et al. (2015) · Pediatrics · doi:10.1542/peds.2014-3825 · Cited by 518 · see citing works
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal
Deprez, M., Quaghebeur, G., Rutherford, M., Hajnal, J. V., & Schnabel, J. A. (2012) · Medical Image Analysis · doi:10.1016/j.media.2012.07.004 · Cited by 428 · see citing works
Gholipour, A., Rollins, C. K., Velasco‐Annis, C., Ouaalam, A., Akhondi‐Asl, A., Afacan, O., Ortinau, C. M., Clancy, S., Limperopoulos, C., Yang, E., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-00525-w · Cited by 357 · see citing works
Self-citationDelayed cortical development in fetuses with complex congenital heart disease
Clouchoux, C., du Plessis, A. J., Bouyssi-Kobar, M., Tworetzky, W., McElhinney, D. B., Brown, D. W., Gholipour, A., Kudelski, D., Warfield, S. K., McCarter, R. J., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs281 · Cited by 309 · see citing works
Self-citationSalehi, S. S. M., Deniz Erdogmus, B., & Gholipour, A. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2721362 · Cited by 232 · see citing works
Self-citationExploring early human brain development with structural and physiological neuroimaging
Vasung, L., Abaci Turk, E., Ferradal, S. L., Sutin, J., Stout, J. N., Ahtam, B., Lin, P.-Y., & Grant, P. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.041 · Cited by 177 · see citing works
Third Trimester Brain Growth in Preterm Infants Compared With In Utero Healthy Fetuses
Bouyssi-Kobar, M., du Plessis, A. J., McCarter, R., Brossard‐Racine, M., Murnick, J. G., Tinkleman, L., Robertson, R. L., & Limperopoulos, C. (2016) · PEDIATRICS · doi:10.1542/peds.2016-1640 · Cited by 177 · see citing works
Self-citationNormative fetal brain growth by quantitative in vivo magnetic resonance imaging
Clouchoux, C., Guizard, N., Evans, A. C., du Plessis, A. J., & Limperopoulos, C. (2012) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.10.002 · Cited by 160 · see citing works
Self-citationComplex 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 · see citing works
Self-citationDynamic patterns of cortical expansion during folding of the preterm human brain
Garcia, K., Robinson, E. C., Alexopoulos, D., Dierker, D. L., Glasser, M. F., Coalson, T. S., Ortinau, C. M., Rueckert, D., Taber, L. A., Essen, D. C. V., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715451115 · Cited by 148 · see citing works
Premature Birth and Developmental Programming: Mechanisms of Resilience and Vulnerability
Lammertink, F., Vinkers, C. H., Tataranno, M. L., & Benders, M. J. N. L. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.531571 · Cited by 132 · see citing works
Increased gyrification, but comparable surface area in adolescents with autism spectrum disorders
Wallace, G. L., Robustelli, B. L., Dankner, N., Kenworthy, L. E., Giedd, J. N., & Martin, A. D. (2013) · Brain · doi:10.1093/brain/awt106 · Cited by 134 · see citing works
How Forces Fold the Cerebral Cortex
Kroenke, C. D., & Bayly, P. V. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1105-17.2017 · Cited by 132 · see citing works
Wu, Y., De Asis-Cruz, J., & Limperopoulos, C. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02449-0 · Cited by 124 · see citing works
“A study of healthy fetuses at 25 – 35 GW shows an exuberant third-trimester gyri fi cation process and suggests a non-linear evolution of sulcal development [53].”
BackgroundMethodSelf-citationFetal MRI: A technical update with educational aspirations
Gholipour, A., Estroff, J. A., Barnewolt, C. E., Robertson, R. L., Grant, P. E., Gagoski, B. A., Warfield, S. K., Afacan, O., Connolly, S. A., Neil, J. J., et al. (2014) · Concepts in Magnetic Resonance Part A · doi:10.1002/cmr.a.21321 · Cited by 121 · see citing works
Self-citationVasung, L., Lepage, C., Radoš, M., Pletikos, M., Goldman, J. S., Richiardi, J., Raguž, M., Fischi-Gómez, E., Karama, S., Hüppi, P. S., et al. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00011 · Cited by 121 · see citing works
Self-citationReducing toxic stress in the neonatal intensive care unit to improve infant outcomes
Weber, A. M., & Harrison, T. M. (2018) · Nursing Outlook · doi:10.1016/j.outlook.2018.11.002 · Cited by 118 · see citing works
Lefèvre, J., Germanaud, D., Dubois, J., Rousseau, F., de Macedo Santos, I., Angleys, H., Mangin, J.-F., Hüppi, P. S., Girard, N., & De Guio, F. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv123 · Cited by 102 · see citing works
Learning-based prediction of gestational age from ultrasound images of the fetal brain
Namburete, A. I. L., Stebbing, R. V., Kemp, B., Yaqub, M., Papageorghiou, A. T., & Alison Noble, J. (2015) · Medical Image Analysis · doi:10.1016/j.media.2014.12.006 · Cited by 97 · see citing works
Sulcal pits and patterns in developing human brains
Im, K., & Grant, P. E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.057 · Cited by 95 · see citing works
Gholipour, A., Akhondi‐Asl, A., Estroff, J. A., & Warfield, S. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.128 · Cited by 83 · see citing works
Self-citationVariations of cingulate sulcal organization and link with cognitive performance
Amiez, C., Wilson, C. R. E., & Procyk, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-32088-9 · Cited by 66 · see citing works
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
Dou, H., Karimi, D., Rollins, C. K., Ortinau, C. M., Vasung, L., Velasco‐Annis, C., Ouaalam, A., Yang, X., Ni, D., & Gholipour, A. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3046579 · Cited by 78 · see citing works
Self-citationKersbergen, K. J., Leroy, F., Išgum, I., Groenendaal, F., de Vries, L. S., Claessens, N. H. P., van Haastert, I. C., Moeskops, P., Fischer, C., Mangin, J., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.010 · Cited by 78 · see citing works
Development of Cortical Morphology Evaluated with Longitudinal MR Brain Images of Preterm Infants
Moeskops, P., Benders, M. J. N. L., Kersbergen, K. J., Groenendaal, F., de Vries, L. S., Viergever, M. A., & Išgum, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131552 · Cited by 76 · 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
Neuroplacentology in congenital heart disease: placental connections to neurodevelopmental outcomes
León, R. L., Mir, I. N., Herrera, C. L., Sharma, K., Spong, C. Y., Twickler, D. M., & Chalak, L. F. (2021) · Pediatric Research · doi:10.1038/s41390-021-01521-7 · Cited by 68 · see citing works
Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Namburete, A. I. L., Papież, B. W., Fernandes, M., Wyburd, M. K., Hesse, L. S., Moser, F. A., Ismail, L. C., Gunier, R. B., Squier, W., Ohuma, E. O., et al. (2023) · Nature · doi:10.1038/s41586-023-06630-3 · Cited by 69 · see citing works
Delayed cortical gray matter development in neonates with severe congenital heart disease
; on behalf of the Research Group Heart and Brain, Claessens, N. H. P., Moeskops, P., Buchmann, A., Latal, B., Knirsch, W., Scheer, I., Išgum, I., de Vries, L. S., Benders, M. J. N. L., et al. (2016) · Pediatric Research · doi:10.1038/pr.2016.145 · Cited by 66 · see citing works
Lessons from infant learning for unsupervised machine learning
Zaadnoordijk, L., Besold, T. R., & Cusack, R. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00488-2 · Cited by 65 · see citing works
Association Between Socioeconomic Status and In Utero Fetal Brain Development
Lu, Y.-C., Kapse, K. J., Andersen, N. R., Quistorff, J. L., Lopez, C., Fry, A., Cheng, J., Andescavage, N. N., Wu, Y., Espinosa, K. M., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.3526 · Cited by 63 · see citing works
Self-citationSzwast, A. L., Tian, Z., McCann, M., Soffer, D., & Rychik, J. R. (2012) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.11147 · Cited by 60 · see citing works
3D Morphometric Analysis of Human Fetal Cerebellar Development
Scott, J. A., Hamzelou, K. S., Rajagopalan, V., Habas, P. A., Kim, K., Barkovich, A. J., Glenn, O. A., & Studholme, C. (2012) · The Cerebellum · doi:10.1007/s12311-011-0338-2 · Cited by 59 · see citing works
A Longitudinal Study of Local Gyrification Index in Young Boys With Autism Spectrum Disorder
Libero, L. E., Schaer, M., Li, D. D., Amaral, D. G., & Nordahl, C. W. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy126 · Cited by 59 · see citing works
Wright, R., Makropoulos, A., Kyriakopoulou, V., Patkee, P. A., Koch, L. M., Rutherford, M., Hajnal, J. V., Rueckert, D., & Aljabar, P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.087 · Cited by 55 · see citing works
Asis‐Cruz, J. D., Andescavage, N. N., & Limperopoulos, C. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.11.009 · Cited by 53 · see citing works
Self-citationQuantitative MRI Analyses of Regional Brain Growth in Living Fetuses with Down Syndrome
Tarui, T., Im, K., Madan, N., Madankumar, R., Skotko, B. G., Schwartz, A., Sharr, C., Ralston, S. J., Kitano, R., Akiyama, S., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz094 · Cited by 50 · see citing works
Prenatal origins of neuropsychiatric diseases
Amgalan, A., Andescavage, N. N., & Limperopoulos, C. (2021) · Acta Paediatrica · doi:10.1111/apa.15766 · Cited by 52 · see citing works
Self-citationLu, Y.-C., Andescavage, N., Wu, Y., Kapse, K., Andersen, N. R., Quistorff, J., Saeed, H., Lopez, C., Henderson, D., Barnett, S. D., et al. (2022) · Communications Medicine · doi:10.1038/s43856-022-00111-w · Cited by 46 · see citing works
Self-citationPapini, C., Palaniyappan, L. K., Kroll, J., Froudist‐Walsh, S., Murray, R. M., & Nosarti, C. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.01.006 · Cited by 46 · see citing works
Ex vivo fetal brain MRI: Recent advances, challenges, and future directions
Vasung, L., Charvet, C. J., Shiohama, T., Gagoski, B. A., Levman, J. E. D., & Takahashi, E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.034 · Cited by 41 · see citing works
Fetal cortical surface atlas parcellation based on growth patterns
Xia, J., Wang, F., Benkarim, O. M., Sanromà, G., Piella, G., Ballester, M. Á. G., Hahner, N. M., Eixarch, E., Zhang, C., Shen, D. G., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24637 · Cited by 44 · see citing works
Spatial and Temporal Variations of Cortical Growth during Gyrogenesis in the Developing Ferret Brain
Knutsen, A. K., Kroenke, C. D., Chang, Y. V., Taber, L. A., & Bayly, P. V. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs042 · Cited by 43 · see citing works
Automated template-based brain localization and extraction for fetal brain MRI reconstruction
Tourbier, S., Velasco‐Annis, C., Taimouri, V., Hagmann, P., Meuli, R. A., Warfield, S. K., Cuadra, M. B., & Gholipour, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.004 · Cited by 43 · see citing works
Self-citationWu, J., Sun, T., Yu, B., Li, Z., Wu, Q., Wang, Y., Qian, Z., Zhang, Y., Jiang, L., & Wei, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118412 · Cited by 40 · see citing works
Toward the automatic quantification of in utero brain development in 3D structural MRI: A review
Benkarim, O. M., Sanromà, G., Zimmer, V. A., Muñoz‐Moreno, E., Hahner, N. M., Eixarch, E., Cámara, Ó., Ballester, M. Á. G., & Piella, G. (2017) · Human Brain Mapping · doi:10.1002/hbm.23536 · Cited by 40 · see citing works
Im, K., Guimarães, A. M. L., Kim, Y., Cottrill, E. J., Gagoski, B. A., Rollins, C. K., Ortinau, C. M., Yang, E., & Grant, P. E. (2017) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5217 · Cited by 42 · see citing works
Gholipour, A., Limperopoulos, C., Clancy, S., Clouchoux, C., Akhondi‐Asl, A., Estroff, J. A., & Warfield, S. K. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10470-6_37 · Cited by 40 · see citing works
Self-citationBatty, M. J., Palaniyappan, L. K., Scerif, G., Groom, M. J., Liddle, E. B., Liddle, P. F., & Hollis, C. P. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.07.004 · Cited by 41 · see citing works
Ghio, M., Cara, C., & Tettamanti, M. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.009 · Cited by 39 · see citing works
Mapping 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
Fetal brain issues in congenital heart disease
Lee, F., Seed, M., Sun, L., & Marini, D. (2021) · Translational Pediatrics · doi:10.21037/tp-20-224 · Cited by 37 · see citing works
Cerebrospinal Fluid and Parenchymal Brain Development and Growth in the Healthy Fetus
Andescavage, N. N., duPlessis, A. J., McCarter, R., Vézina, G., Robertson, R. L., & Limperopoulos, C. (2016) · Developmental Neuroscience · doi:10.1159/000456711 · Cited by 35 · see citing works
Self-citationRegional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome
Yun, H. J., Perez, J. D. R., Sosa, P., Valdés, J. A., Madan, N., Kitano, R., Akiyama, S., Skotko, B. G., Feldman, H. A., Bianchi, D. W., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa255 · Cited by 33 · see citing works
Fetal brain MRI atlases and datasets: A review
Ciceri, T., Casartelli, L., Montano, F., Conte, S., Squarcina, L., Bertoldo, A., Agarwal, N., Brambilla, P., & Peruzzo, D. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120603 · Cited by 32 · see citing works
Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly
Benkarim, O. M., Hahner, N. M., Piella, G., Gratacós, E., Ballester, M. Á. G., Eixarch, E., & Sanromà, G. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.01.006 · Cited by 32 · see citing works
Wu, J., Awate, S. P., Licht, D. J., Clouchoux, C., du Plessis, A. J., Avants, B., Vossough, A., Gee, J. C., & Limperopoulos, C. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4357 · Cited by 31 · see citing works
Self-citationHu, H., Chen, H.-Y., Hung, C., Guo, W., & Wu, Y. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0469-3 · Cited by 31 · see citing works
Szwast, A. L., Putt, M. E., Gaynor, J. W., Licht, D. J., & Rychik, J. R. (2017) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.18919 · Cited by 30 · see citing works
Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation
Hong, J., Yun, H. J., Park, G., Kim, S., Laurentys, C. T., Siqueira, L. C., Tarui, T., Rollins, C. K., Ortinau, C. M., Grant, P. E., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.591683 · Cited by 29 · see citing works
Volumetric Brain MRI Study in Fetuses with Congenital Heart Disease
Olshaker, H., Ber, R., Hoffman, D., Derazne, E., Achiron, R., & Katorza, E. (2018) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5628 · Cited by 29 · see citing works
Multimodality evaluation of the pediatric brain: DTI and its competitors
Vasung, L., Fischi-Gómez, E., & Hüppi, P. S. (2013) · Pediatric Radiology · doi:10.1007/s00247-012-2515-y · Cited by 27 · see citing works
The influence of biophysical parameters in a biomechanical model of cortical folding patterns
Wang, X., Lefèvre, J., Bohi, A., Harrach, M. A., Dinomais, M., & Rousseau, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-87124-y · Cited by 27 · see citing works
Outcomes of Babies with Opioid Exposure (OBOE): protocol of a prospective longitudinal cohort study
Bann, C., Newman, J. E., Poindexter, B. B., Okoniewski, K. C., DeMauro, S. B., Lorch, S. A., Wilson-Costello, D. E., Ambalavanan, N., Peralta-Carcelén, M., Limperopoulos, C., et al. (2022) · Pediatric Research · doi:10.1038/s41390-022-02279-2 · Cited by 27 · see citing works
Self-citationSegmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss
de Dumast, P., Kebiri, H., Atat, C., Dunet, V., Koob, M., & Cuadra, M. B. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87735-4_19 · Cited by 25 · see citing works
Normative biometrics for fetal ocular growth using volumetric MRI reconstruction
Velasco‐Annis, C., Gholipour, A., Afacan, O., Prabhu, S. P., Estroff, J. A., & Warfield, S. K. (2015) · Prenatal Diagnosis · doi:10.1002/pd.4558 · Cited by 25 · see citing works
Self-citationYun, H. J., Lee, H. J., Lee, J. Y., Tarui, T., Rollins, C. K., Ortinau, C. M., Feldman, H. A., Grant, P. E., & Im, K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119629 · Cited by 24 · see citing works
Modeling the life cycle of the human brain
Budday, S., & Ellen Kuhl, A. (2020) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2019.12.009 · Cited by 24 · see citing works
Huang, S.-G., Lyu, I., Qiu, A., & Chung, M. K. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2967451 · Cited by 23 · see citing works
Early Lipid Intake Improves Cerebellar Growth in Very Low‐Birth‐Weight Preterm Infants
Ottolini, K. M., Andescavage, N. N., Kapse, K. J., Jacobs, M. B., Murnick, J. G., VanderVeer, R., Basu, S. K., Said, M., & Limperopoulos, C. (2020) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1868 · Cited by 24 · see citing works
Self-citationComputational models of cortical folding: A review of common approaches
Darayi, M., Hoffman, M. E., Sayut, J., Wang, S., Demirci, N., Consolini, J., & Holland, M. A. (2021) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2021.110851 · Cited by 23 · see citing works
Novel applications of quantitative MRI for the fetal brain
Clouchoux, C., & Limperopoulos, C. (2012) · Pediatric Radiology · doi:10.1007/s00247-011-2178-0 · Cited by 23 · see citing works
Self-citation3D Super‐Resolution Motion‐Corrected MRI: Validation of Fetal Posterior Fossa Measurements
Pier, D. B., Gholipour, A., Afacan, O., Velasco‐Annis, C., Clancy, S., Kapur, K., Estroff, J. A., & Warfield, S. K. (2016) · Journal of Neuroimaging · doi:10.1111/jon.12342 · Cited by 23 · see citing works
Self-citationQuantification of total fetal brain volume using 3D MR imaging data acquired in utero
Jarvis, D. A., Akram, R., Mandefield, L., Paddock, M. T., Armitage, P. A., & Griffiths, P. D. (2016) · Prenatal Diagnosis · doi:10.1002/pd.4961 · Cited by 22 · see citing works
Aygün, C., Çelik, F. Ç., Nural, M. S., Azak, E., Küçüködük, S., Oğur, G., & İncesu, L. (2012) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.35306 · Cited by 22 · see citing works
Asis‐Cruz, J. D., & Limperopoulos, C. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.11.019 · Cited by 22 · see citing works
Self-citationYun, H. J., Chung, A. W., Vasung, L., Yang, E., Tarui, T., Rollins, C. K., Ortinau, C. M., Grant, P. E., & Im, K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.023 · Cited by 21 · see citing works
The encephalopathy of congenital heart disease
Gaynor, J. W. (2014) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2014.09.061 · Cited by 22 · see citing works
Stress landscape of folding brain serves as a map for axonal pathfinding
Solhtalab, A., Foroughi, A. H., Pierotich, L., & Razavi, M. J. (2025) · Nature Communications · doi:10.1038/s41467-025-56362-3 · Cited by 19 · see citing works
Genetic mouse models of autism spectrum disorder present subtle heterogenous cardiac abnormalities
Assimopoulos, S., Hammill, C. F., Fernandes, D., Noakes, T. L. S., Zhou, Y., Nutter, L. M. J., Ellegood, J., Anagnostou, E. A., Sled, J. G., & Lerch, J. P. (2022) · Autism Research · doi:10.1002/aur.2728 · Cited by 18 · see citing works
Mapping the developing human brain in utero using quantitative MR imaging techniques
Studholme, C. (2015) · Seminars in Perinatology · doi:10.1053/j.semperi.2015.01.003 · Cited by 17 · see citing works
Morton, S. U., Maleyeff, L., Wypij, D., Yun, H. J., Rollins, C. K., Watson, C. G., Newburger, J. W., Bellinger, D. C., Roberts, A. E., Rivkin, M. J., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab114 · Cited by 16 · see citing works
Grinberg, A., Katorza, E., Hoffman, D., Ber, R., Mayer, A., & Lipitz, S. (2019) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5948 · Cited by 17 · see citing works
Akiyama, S., Madan, N., Graham, G., Samura, O., Kitano, R., Yun, H. J., Craig, A. K., Nakamura, T., Hozawa, A., Grant, P. E., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263535 · Cited by 16 · see citing works
Knickmeyer, R. C., & Hooper, S. R. (2019) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.31679 · Cited by 16 · see citing works
Blommaert, J., Radwan, A., Sleurs, C., Maggen, C., van Gerwen, M., Wolters, V., Christiaens, D., Peeters, R., Dupont, P., Sunaert, S., et al. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100598 · Cited by 17 · see citing works
Everwijn, S. M. P., Namburete, A. I. L., van Geloven, N., Jansen, F. A. R., Papageorghiou, A. T., Teunissen, A. K. K., Rozendaal, L., Blom, N. A., Lith, J. M. M. V., & Haak, M. C. (2020) · Prenatal Diagnosis · doi:10.1002/pd.5813 · Cited by 16 · see citing works
Cortical properties of adults with autism spectrum disorder and an IQ>100
Maier, S. J., van Elst, L. T., Perlov, E., Düppers, A. L., Nickel, K., Fangmeier, T., Endres, D., & Riedel, A. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.06.013 · Cited by 15 · see citing works
Everwijn, S. M. P., Namburete, A. I. L., van Geloven, N., Jansen, F. A. R., Papageorghiou, A. T., Noble, J. A., Teunissen, A. K. K., Rozendaal, L., Blom, N. A., Lith, J. M. M. V., et al. (2019) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.13687 · Cited by 16 · see citing works
Reduced gyrification in fetal growth restriction with prenatal magnetic resonance images
Yehuda, B., Rabinowich, A., Zilberman, A., Wexler, Y., Haratz, K. K., Miller, E., Ben‐Sira, L., Hiersch, L., & Bashat, D. B. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae250 · Cited by 14 · see citing works
Fetal brain development in fetal growth restriction using MRI: a systematic review
Meijerink, L., van Ooijen, I. M., Alderliesten, T., Terstappen, F., Benders, M. J. N. L., & Bekker, M. N. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-024-07124-4 · Cited by 17 · see citing works
Quantitative magnetic resonance imaging of the fetal brain in utero: Methods and applications
Biegon, A. R. (2014) · World Journal of Radiology · doi:10.4329/wjr.v6.i8.523 · Cited by 12 · see citing works
Fetal neuroimaging: an update on technical advances and clinical findings
Robinson, A. J., & Ederies, M. A. (2018) · Pediatric Radiology · doi:10.1007/s00247-017-3965-z · Cited by 13 · see citing works
Ni, H., Lin, H., Chen, Y., Tseng, W. I., & Gau, S. S. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00199-0 · Cited by 13 · see citing works
Different Principles Govern Different Scales of Brain Folding
Mallela, A. N., Deng, H., Bush, A., & Goldschmidt, E. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa086 · Cited by 13 · see citing works
Yehuda, B., Rabinowich, A., Link‐Sourani, D., Avisdris, N., Ben-Zvi, O., Specktor‐Fadida, B., Leo Joskowicz, B., Ben‐Sira, L., Miller, E., & Bashat, D. B. (2023) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8046 · Cited by 12 · see citing works
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound
Wyburd, M. K., Jenkinson, M., & Namburete, A. I. L. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-52791-4_5 · Cited by 12 · see citing works
Associations of gestational age with gyrification and neurocognition in healthy adults
Schmitt, S., Ringwald, K. G., Meller, T., Stein, F., Brosch, K., Pfarr, J., Hahn, T., Lemke, H., Meinert, S. L., Repple, J., et al. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01454-0 · Cited by 11 · see citing works
Intrauterine exposure to SARS-CoV-2 infection and early newborn brain development
Andescavage, N. N., Lu, Y.-C., Wu, Y., Kapse, K. J., Keller, J., Kohorn, I. V., Afifi, A., Vézina, G., Henderson, D., WESSEL, D. L., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae041 · Cited by 10 · see citing works
Self-citation
- Authors
- Clouchoux, C., Kudelski, D., Gholipour, A., Warfield, S. K., Viseur, S., Bouyssi-Kobar, M., Mari, J.-L., Evans, A. C., du Plessis, A. J., & Limperopoulos, C.
- Affiliations
- Children's National (US)
- Centre National de la Recherche Scientifique (FR)
- Boston Children's Hospital (US)
- Université de Provence Aix-Marseille I (FR)
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Limperopoulos, Catherine
- ORCID
- Venue
- Brain Structure and Function
- Published
- 2011-05-12
- Volume
- 217
- Issue
- 1
- Pages
- 127-139
- ISSN
- 1863-2653 (ISSN-L)
- 1863-2661
- OpenAlex
- W2051630621
- Cited by
- 164
- References
- 62
- Citations by year
- 2026: 11 · 2025: 8 · 2024: 10 · 2023: 7 · 2022: 15 · 2021: 23 · 2020: 14 · 2019: 12 · 2018: 14 · 2017: 8 · 2016: 11 · 2015: 11 · 2014: 5 · 2013: 4 · 2012: 8
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Brain Structure and Function (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Canadian Institutes of Health Research (81116_1)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Neonatal and fetal brain pathology
- Keywords
- fetal brain development, cerebral cortex, cortical folding, fetal MRI, cortical surface reconstruction, gyrification index, cortical surface area, third trimester, fetal brain maturation
- MeSH terms
- Age Factors, Algorithms, Cerebral Cortex, Female, Fetus, Humans, Magnetic Resonance Imaging, Pregnancy, Fetal Development
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
