The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“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]
Citations
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Measures of the Amount of Ecologic Association Between Species
Dice, L. R. (1945) · Ecology · doi:10.2307/1932409 · Cited by 12,187
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Fundamentals of digital image processing
Jain, A. K. (1988) · Cited by 7,000
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
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
Self-citationSpecification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · cited 3×
“2010a), and is believed to be the result of a strong genetic influence (Rakic 1988; Regis et al. 2005).”
BackgroundA 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
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
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
Self-citation
Research works printed but not linked: 1
- Guizard N, Lepage C, Fonov V, Hakyemez H, Evans A, Limperopoulos C (2008) Development of fetus brain atlas from multi-axial MR acquisitions. In: Proceedings of the Sixteenth Annual Meeting of the International Society for Magnetic Resonance in Medicine 672:132
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 750
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
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
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 366
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
Self-citationSalehi, S. S. M., Deniz Erdogmus, B., & Gholipour, A. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2721362 · Cited by 228
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
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
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
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
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
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 145
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
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
Wu, Y., De Asis-Cruz, J., & Limperopoulos, C. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02449-0 · Cited by 124
“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
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 122
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 130
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
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
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 99
Gholipour, A., Akhondi‐Asl, A., Estroff, J. A., & Warfield, S. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.128 · Cited by 83
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 87
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
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
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
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
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 69
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 72
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
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
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
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
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
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 61
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
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
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
Prenatal origins of neuropsychiatric diseases
Amgalan, A., Andescavage, N. N., & Limperopoulos, C. (2021) · Acta Paediatrica · doi:10.1111/apa.15766 · Cited by 55
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
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 45
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 43
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 43
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 44
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
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
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 43
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
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
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 42
Ghio, M., Cara, C., & Tettamanti, M. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.009 · Cited by 42
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
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
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
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
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 39
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 25
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 27
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
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
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
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
Asis‐Cruz, J. D., & Limperopoulos, C. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.11.019 · Cited by 22
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
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
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
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 19
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
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
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
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
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
Blommaert, J., Radwan, A., Sleurs, C., Maggen, C., van Gerwen, M., Wolters, V. E. R. A., Christiaens, D., Peeters, R. R., Dupont, P. J., Sunaert, S. G., et al. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100598 · Cited by 18
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
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
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
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
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
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 13
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
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
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
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
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
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., Repple, J., et al. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01454-0 · Cited by 13
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
Self-citation
Metadata
- 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