Functional brain connectivity in ex utero premature infants compared to in utero fetuses
Open accessAbstract
Brain structural changes in premature infants appear before term age. Functional differences between premature infants and healthy fetuses during this period have yet to be explored. Here, we examined brain connectivity using resting state functional MRI in 25 very premature infants (VPT; gestational age at birth <32 weeks) and 25 healthy fetuses with structurally normal brain MRIs. Resting state data were evaluated using seed-based correlation analysis and network-based statistics using 23 regions of interest (ROIs) per hemisphere. Functional connectivity strength, the Pearson correlation between blood oxygenation level dependent signals over time across all ROIs, was compared between groups. In both cohorts, connectivity between homotopic ROIs showed a decreasing medial to lateral gradient. The cingulate cortex, medial temporal lobe and the basal ganglia shared the strongest connections. In premature infants, connections involving superior temporal, hippocampal, and occipital areas, among others, were stronger compared to fetuses. Premature infants showed stronger connectivity in sensory input and stress-related areas suggesting that extra-uterine environment exposure alters the development of select neural networks in the absence of structural brain injury.
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Connectivity strength between most symmetric regions increases with advancing gestational age.
“Connectivity strength between most symmetric regions has been shown to increase with advancing gestational age [56, 62].”
From Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy (2024) · cites this paper as [62]
Section 3.3 reports that connectivity strength in premature infants and fetuses did not correlate with age. That contradicts the attributed claim of increasing connectivity strength with advancing gestational age. Our copy provides no page number for this passage. (LLM, conf=0.88)
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Experimental — accuracy not yet measuredA medial-to-lateral gradient of network organization has been demonstrated, such that connections between homologous medial structures are stronger than those connecting lateral areas in utero.
“Consistent with axonal growth patterns, a medial-to-lateral gradient of network organization has been demonstrated, such that connections between homologous medial structures are stronger than those connecting lateral areas in utero.”
From Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy (2024) · cites this paper as [62]
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AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
N4ITK: Improved N3 Bias Correction
Tustison, N. J., Avants, B., Cook, P. A., Zheng, Y., Egan, A., Yushkevich, P. A., & Gee, J. C. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2046908 · Cited by 6,119 · see citing works
A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.042 · Cited by 4,502 · see citing works
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774 · see citing works
Stress and disorders of the stress system
Chrousos, G. P. (2009) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2009.106 · Cited by 3,215 · see citing works
Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
Rich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354 · see citing works
McEwen, B. S., & Gianaros, P. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05331.x · Cited by 1,715 · see citing works
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.21333 · Cited by 1,636 · see citing works
Akinwande, M. O., Dikko, H. G., & Samson, A. (2015) · Open Journal of Statistics · doi:10.4236/ojs.2015.57075 · Cited by 1,534 · see citing works
Normal development of brain circuits
Tau, G. Z., & Peterson, B. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.115 · Cited by 1,391 · see citing works
On the adaptive control of the false discovery rate in multiple testing with independent statistics
Benjamini, Y., & Hochberg, Y. (2000) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986025001060 · Cited by 1,349 · see citing works
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042 · see citing works
Recent progress and outstanding issues in motion correction in resting state fMRI
Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.044 · Cited by 957 · see citing works
Kinney, H. C., Ann brody, B., Kloman, A. S., & Gilles, F. H. (1988) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-198805000-00003 · Cited by 888 · see citing works
Longitudinal Analysis of Neural Network Development in Preterm Infants
Smyser, C. D., Inder, T. E., Shimony, J. S., Hill, J. E., Degnan, A. J., Snyder, A. Z., & Neil, J. J. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq035 · Cited by 791 · see citing works
Hallquist, M. N., Hwang, K., & Luna, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.116 · Cited by 753 · see citing works
Ojemann, J. G., Akbudak, E., Snyder, A. Z., McKinstry, R. C., Raichle, M. E., & Conturo, T. E. (1997) · NeuroImage · doi:10.1006/nimg.1997.0289 · Cited by 699 · see citing works
Resting-state networks in the infant brain
Fransson, P., Skiöld, B., Horsch, S., Nordell, A., Blennow, M., Lagercrantz, H., & Åden, U. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704380104 · Cited by 696 · see citing works
Sequence of Central Nervous System Myelination in Human Infancy. I. An Autopsy Study of Myelination
BRODY, B. A., KINNEY, H. C., KLOMAN, A. S., & GILLES, F. H. (1987) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-198705000-00005 · Cited by 682 · see citing works
Emergence of resting state networks in the preterm human brain
Doria, V., Beckmann, C. F., Arichi, T., Merchant, N., Groppo, M., Turkheimer, F. E., Counsell, S. J., Murgasova, M., Aljabar, P., Nunes, R. G., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007921107 · Cited by 574 · see citing works
Neonatal intensive care unit stress is associated with brain development in preterm infants
Smith, G. C., Gutovich, J., Smyser, C. D., Pineda, R. G., Newnham, C. A., Tjoeng, T. H., Vavasseur, C., Wallendorf, M., Neil, J. J., & Inder, T. E. (2011) · Annals of Neurology · doi:10.1002/ana.22545 · Cited by 549 · see citing works
Methods for cleaning the BOLD fMRI signal
Caballero-Gaudes, C., & Reynolds, R. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.018 · Cited by 542 · see citing works
Mapping sources of correlation in resting state FMRI, with artifact detection and removal
Jo, H. J., Saad, Z. S., Simmons, W. K., Milbury, L. A., & Cox, R. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.246 · Cited by 509 · see citing works
Blencowe, H. K., Lee, A. C., Cousens, S. N., Bahalim, A. N., Narwal, R., Zhong, N. A., Chou, D., Say, L., Modi, N., Katz, J., et al. (2013) · Pediatric Research · doi:10.1038/pr.2013.204 · Cited by 493 · see citing works
Reduction of motion-related artifacts in resting state fMRI using aCompCor
Muschelli, J., Nebel, M. B., Caffo, B. S., Barber, A. D., Pekar, J. J., & Mostofsky, S. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.028 · Cited by 431 · see citing works
Water diffusion compartmentation and anisotropy at high b values in the human brain
Clark, C. A., & Bihan, D. L. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200012)44:6 · Cited by 424 · see citing works
Kostović, I. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.5.536 · Cited by 408 · see citing works
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain
Makropoulos, A., Gousias, I. S., Ledig, C., Aljabar, P., Serag, A., Hajnal, J. V., Edwards, A. D., Counsell, S. J., & Rueckert, D. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2322280 · Cited by 381 · see citing works
Rich-club organization of the newborn human brain
Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E. C., Ogundipe, E., Rueckert, D., Edwards, A. D., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1324118111 · Cited by 360 · see citing works
Development of cortical microstructure in the preterm human brain
Ball, G., Srinivasan, L., Aljabar, P., Counsell, S. J., Durighel, G., Hajnal, J. V., Rutherford, M. A., & Edwards, A. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301652110 · Cited by 331 · see citing works
Gray matter injury associated with periventricular leukomalacia in the premature infant
Pierson, C. R., Folkerth, R. D., Billiards, S. S., Trachtenberg, F. L., Drinkwater, M. E., Volpe, J. J., & Kinney, H. C. (2007) · Acta Neuropathologica · doi:10.1007/s00401-007-0295-5 · Cited by 312 · see citing works
Reduced development of cerebral cortex in extremely preterm infants
Ajayi-Obe, M., Saeed, N., Cowan, F. M., Rutherford, M., & Edwards, A. D. (2000) · The Lancet · doi:10.1016/s0140-6736(00)02761-6 · Cited by 295 · see citing works
Jo, H. J., Gotts, S. J., Reynolds, R. C., Bandettini, P. A., Martin, A. D., Cox, R. W., & Saad, Z. S. (2013) · Journal of Applied Mathematics · doi:10.1155/2013/935154 · Cited by 277 · see citing works
Interaction Effects: Centering, Variance Inflation Factor, and Interpretation Issues
Robinson, C. D., & Schumacker, R. E. (2009) · General Linear Model Journal · Cited by 262 · see citing works
Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253 · see citing works
The influence of preterm birth on the developing thalamocortical connectome
Ball, G., Boardman, J. P., Aljabar, P., Pandit, A. S., Arichi, T., Merchant, N. M., Rueckert, D., Edwards, A. D., & Counsell, S. J. (2012) · Cortex · doi:10.1016/j.cortex.2012.07.006 · Cited by 239 · see citing works
Unified Framework for Development, Deployment and Robust Testing of Neuroimaging Algorithms
Joshi, A. P., Scheinost, D., Okuda, H., Belhachemi, D., Murphy, I., Staib, L. H., & Papademetris, X. (2011) · Neuroinformatics · doi:10.1007/s12021-010-9092-8 · Cited by 227 · see citing works
Self-citationCross-hemispheric functional connectivity in the human fetal brain
Thomason, M. E., Dassanayake, M. T., Shen, S., Katkuri, Y., Alexis, M., Anderson, A. L., Yeo, L., Mody, S., Hernandez-Andrade, E., Hassan, S. S., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3004978 · Cited by 225 · see citing works
Neurogenesis Continues in the Third Trimester of Pregnancy and Is Suppressed by Premature Birth
Malik, S. K., Vinukonda, G., Vose, L. R., Diamond, D., Bhimavarapu, B. B. R., Hu, F., Zia, M., Hevner, R. F., Zečević, N., & Ballabh, P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4445-12.2013 · Cited by 203 · see citing works
Slower Postnatal Growth Is Associated with Delayed Cerebral Cortical Maturation in Preterm Newborns
Vinall, J., GRUNAU, R. E., Brant, R., Chau, V., Poskitt, K. J., Synnes, A. R., & Miller, S. P. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3004666 · Cited by 195 · see citing works
Friedman, L., & Glover, G. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.012 · Cited by 191 · see citing works
Thomason, M. E., Grove, L. E., Lozon, T. A., Vila, A. M., Ye, Y., Nye, M. J., Manning, J. H., Pappas, A., Hernandez‐Andrade, E. A., Yeo, L., et al. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.001 · Cited by 188 · 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-citationBrain Growth Gains and Losses in Extremely Preterm Infants at Term
Padilla, N., Alexandrou, G., Blennow, M., Lagercrantz, H., & Ådén, U. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht431 · Cited by 169 · see citing works
Specialization and integration of functional thalamocortical connectivity in the human infant
Toulmin, H., Beckmann, C. F., O’Muircheartaigh, J., Ball, G., Nongena, P., Makropoulos, A., Ederies, A., Counsell, S. J., Kennea, N. L., Arichi, T., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422638112 · Cited by 164 · see citing works
Resting-State Network Complexity and Magnitude Are Reduced in Prematurely Born Infants
Smyser, C. D., Snyder, A. Z., Shimony, J. S., Mitra, A., Inder, T. E., & Neil, J. J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu251 · Cited by 163 · see citing works
Complex Trajectories of Brain Development in the Healthy Human Fetus
Andescavage, N. N., du Plessis, A., McCarter, R., Serag, A., Evangelou, I., Vezina, G., Robertson, R., & Limperopoulos, C. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw306 · Cited by 163 · see citing works
Self-citationAlterations in neural connectivity in preterm children at school age
Gozzo, Y., Vohr, B. R., Lacadie, C., Hampson, M., Katz, K. H., Maller-Kesselman, J., Schneider, K. C., Peterson, B. S., Rajeevan, N., Makuch, R., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.046 · Cited by 160 · see citing works
Friedman, L., Glover, G. H., Krenz, D., & Magnotta, V. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.062 · Cited by 159 · see citing works
Weak functional connectivity in the human fetal brain prior to preterm birth
Thomason, M. E., Scheinost, D., Manning, J. H., Grove, L. E., Hect, J. L., Marshall, N. A., Hernandez‐Andrade, E. A., Berman, S., Pappas, A., Yeo, L., et al. (2017) · Scientific Reports · doi:10.1038/srep39286 · Cited by 153 · see citing works
Self-citationDoes prenatal stress alter the developing connectome?
Scheinost, D., Sinha, R., Cross, S., Kwon, S. H., Sze, G. K., Constable, R. T., & Ment, L. R. (2016) · Pediatric Research · doi:10.1038/pr.2016.197 · Cited by 143 · see citing works
Self-citationWatching the fetal brain at ‘rest’
Schöpf, V., Kasprian, G., Brugger, P. C., & Prayer, D. (2012) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.10.006 · Cited by 137 · see citing works
Intrinsic Functional Brain Architecture Derived from Graph Theoretical Analysis in the Human Fetus
Thomason, M. E., Brown, J. A., Dassanayake, M. T., Shastri, R., Marusak, H. A., Hernandez-Andrade, E., Yeo, L., Mody, S., Berman, S., Hassan, S. S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094423 · Cited by 130 · see citing works
Sex differences in functional connectivity during fetal brain development
Wheelock, M. D., Hect, J. L., Hernandez-Andrade, E., Hassan, S. S., Romero, R., Eggebrecht, A. T., & Thomason, M. E. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100632 · Cited by 126 · see citing works
Lahav, A., & Skoe, E. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00381 · Cited by 119 · see citing works
Hubs in the human fetal brain network
van den Heuvel, M. I., Turk, E., Manning, J. H., Hect, J., Hernandez-Andrade, E., Hassan, S. S., Romero, R., van den Heuvel, M. P., & Thomason, M. E. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.02.001 · Cited by 108 · cited 1× · see citing works
“Frames with translational motion >1 mm and rotational motion >1.5 were considered high motion; these cut-offs were based on thresholds used in recently published fetal resting state studies (Li et al., 2019; Thomason et al., 2019, 2017; van den Heuvel et al., 2018; Wheelock et al., 2019).”
MethodInfluentialEarly growth in brain volume is preserved in the majority of preterm infants
Boardman, J. P., Counsell, S. J., Rueckert, D., Hajnal, J. V., Bhatia, K. K., Srinivasan, L., Kapellou, O., Aljabar, P., Dyet, L. E., Rutherford, M., et al. (2007) · Annals of Neurology · doi:10.1002/ana.21171 · Cited by 107 · see citing works
Early neurosensory visual development of the fetus and newborn
Graven, S. N. (2004) · Clinics in Perinatology · doi:10.1016/j.clp.2004.04.010 · Cited by 106 · 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
Jovicich, J., Minati, L., Marizzoni, M., Marchitelli, R., Sala‐Llonch, R., David Bartrés-faz, A., Arnold, J., Benninghoff, J., Fiedler, U., Roccatagliata, L., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.010 · Cited by 95 · see citing works
Thomason, M. E., Hect, J. L., Rauh, V. A., Trentacosta, C., Wheelock, M. D., Eggebrecht, A. T., Espinoza-Heredia, C., & Burt, S. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.017 · Cited by 94 · see citing works
Karolis, V. R., Froudist‐Walsh, S., Brittain, P. J., Kroll, J., Ball, G., Edwards, A. D., Dell’Acqua, F., Williams, S., Murray, R. M., & Nosarti, C. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv305 · Cited by 77 · see citing works
Visual Function at 35 and 40 Weeks' Postmenstrual Age in Low-Risk Preterm Infants
Ricci, D., Cesarini, L., Romeo, D. M., Gallini, F., Serrao, F., Groppo, M., Carli, A. D., Cota, F., Lepore, D., Molle, F., et al. (2008) · PEDIATRICS · doi:10.1542/peds.2008-1888 · Cited by 76 · see citing works
Kalinichev, M., Rosenblatt, J. S., Nakabeppu, Y., & Morrell, J. I. (2000) · The Journal of comparative neurology · doi:10.1002/(sici)1096-9861(20000103)416:1 · Cited by 72 · see citing works
Maroney, D. (2003) · Journal of Perinatology · doi:10.1038/sj.jp.7211010 · Cited by 66 · see citing works
GABA, Resting-State Connectivity and the Developing Brain
Kwon, S. H., Scheinost, D., Lacadie, C., Benjamin, J. R., Myers, E. H., Qiu, M., Schneider, K. C., Rothman, D. L., Constable, R. T., & Ment, L. R. (2014) · Neonatology · doi:10.1159/000362433 · Cited by 62 · see citing works
Self-citationBouyssi-Kobar, M., Asis‐Cruz, J. D., Murnick, J. G., Chang, T., & Limperopoulos, C. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.06.030 · Cited by 61 · see citing works
Self-citationSensory modulation in preterm children: Theoretical perspective and systematic review
Bröring, T., Oostrom, K. J., Lafeber, H. N., Jansma, E. P., & Oosterlaan, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170828 · Cited by 58 · see citing works
A Single Neonatal Injury Induces Life-Long Deficits in Response to Stress
Victoria, N. C., Inoue, K., Young, L. J., & Murphy, A. Z. (2013) · Developmental Neuroscience · doi:10.1159/000351121 · Cited by 49 · see citing works
Visual development in preterm infants
Madan, A., Jan, J. E., & Good, W. V. (2005) · Developmental Medicine & Child Neurology · doi:10.1017/s0012162205000514 · Cited by 46 · 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-citationVictoria, N. C., Inoue, K., Young, L. J., & Murphy, A. Z. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.08.013 · Cited by 39 · see citing works
Disruption of Interneuron Neurogenesis in Premature Newborns and Reversal with Estrogen Treatment
Tibrewal, M., Cheng, B., Dohare, P., Hu, F., Mehdizadeh, R., Wang, P., Zheng, D., Ungvari, Z. I., & Ballabh, P. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1875-17.2017 · Cited by 36 · see citing works
Orasanu, E., Melbourne, A., Cardoso, M. J., Lomabert, H., Kendall, G. S., Robertson, N. J., Marlow, N., & Sebastien Ourselin, A. (2016) · Brain and Behavior · doi:10.1002/brb3.488 · Cited by 30 · see citing works
Intensity-based masking: A tool to improve functional connectivity results of resting-state fMRI
Peer, M., Abboud, S., Hertz, U., Amedi, A., & Arzy, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23182 · Cited by 28 · see citing works
Dolichocephaly in Preterm Infants: Prevalence, Risk Factors, and Early Motor Outcomes
Peat, J. K., Malcolm, W., Smith, P. B., et al. (2016) · American Journal of Perinatology · doi:10.1055/s-0036-1592128 · Cited by 20 · see citing works
A fetal fMRI specific motion correction algorithm using 2<sup>nd</sup> order edge features
Scheinost, D., Onofrey, J. A., Kwon, S. H., Cross, S. N., Sze, G., Ment, L. R., & Papademetris, X. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) · doi:10.1109/isbi.2018.8363807 · Cited by 19 · see citing works
Self-citationThe impact of extrauterine life on visual maturation in extremely preterm born infants
Schwindt, E. M., Giordano, V., Róna, Z., Czaba, C., Olischar, M., Waldhoer, T., Werther, T., Fuiko, R., Berger, A., & Klebermaß-Schrehof, K. (2018) · Pediatric Research · doi:10.1038/s41390-018-0084-y · Cited by 18 · see citing works
Basu, S. K., Pradhan, S., Kapse, K. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-37203-4 · Cited by 13 · see citing works
Self-citationLanguage at rest: A longitudinal study of intrinsic functional connectivity in preterm children
Rowlands, M. A., Scheinost, D., Lacadie, C., Vohr, B. R., Li, F., Schneider, K. C., Constable, R. T., & Ment, L. R. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.01.016 · Cited by 11 · see citing works
Self-citationLi, X., Hect, J. L., Thomason, M. E., & Zhu, D. (2020) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi45749.2020.9098606 · Cited by 10 · see citing works
Visual development in preterm infants
Madan, A., Jan, J. E., & Good, W. V. (2007) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.2005.tb01133.x · Cited by 5 · see citing works
Li, X., Hect, J. L., Thomason, M. E., & Zhu, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.03691 · Cited by 1 · see citing works
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
Flagged first, then by citations
Research works printed but not linked: 3
- Rutherford, S., Sturmfels, P., Angstadt, M., Hect, J., Wiens, J., van den Heuvel, M.I., Scheinost, D., Thomason, M., Sripada, C., 2019. Observing the origins of human brain development: automated processing of fetal fMRI. bioRxiv. https://doi.org/10.1101 /525386. · DOI
- Scheinost, D., Onofrey, J.A., Kwon, S.H., Cross, S.N., Sze, G., Ment, L.R., Papademetris, X., 2018. A fetal fMRI specific motion correction algorithm using 2nd order edge features. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). Ieeexplore. ieee.org, pp. 1288-1292.
- Volpe, J.J., Inder, T.E., Darras, B.T., de Vries, L.S., du Plessis, A.J., Neil, J., Perlman, J.M., 2017. Volpe's Neurology of the Newborn E-Book. Elsevier Health Sciences.
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Sorted by citations
Wu, Y., De Asis-Cruz, J., & Limperopoulos, C. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02449-0 · Cited by 124 · see citing works
Self-citationGlobal Network Organization of the Fetal Functional Connectome
De Asis-Cruz, J., Andersen, N., Kapse, K., Khrisnamurthy, D., Quistorff, J., Lopez, C., Vezina, G., & Limperopoulos, C. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa410 · Cited by 40 · see citing works
Self-citationMotion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data
Sobotka, D., Ebner, M., Schwartz, E., Nenning, K.-H., Taymourtash, A., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., Langs, G., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119213 · Cited by 20 · see citing works
Kim, J.-H., De Asis-Cruz, J., Cook, K. M., & Limperopoulos, C. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac209 · Cited by 19 · see citing works
Self-citationKim, J.-H., De Asis-Cruz, J., Krishnamurthy, D., & Limperopoulos, C. (2023) · eLife · doi:10.7554/elife.80878 · Cited by 10 · see citing works
Self-citation
- Authors
- De Asis-Cruz, J., Kapse, K., Basu, S. K., Said, M., Scheinost, D., Murnick, J., Chang, T., du Plessis, A., & Limperopoulos, C.
- Affiliations
- Children's National (US)
- Yale University (US)
- Corresponding author
- Limperopoulos, Catherine
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 219
- Pages
- 117043
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W3035293276
- Cited by
- 63
- References
- 86
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 16 · 2023: 10 · 2022: 17 · 2021: 5 · 2020: 1
- FWCI
- 4.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Intellectual and Developmental Disabilities Research Center
- Canadian Institutes of Health Research
- National Heart, Lung, and Blood Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Neonatal and fetal brain pathology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
- Keywords
- brain functional connectivity, very preterm infants, fetal brain development, resting-state fMRI, seed-based correlation analysis, network-based statistics, cingulate cortex, medial temporal lobe, basal ganglia, hippocampus, preterm birth
- MeSH terms
- Default Mode Network, Brain, Brain Mapping, Female, Fetus, Gestational Age, Humans, Infant, Newborn, Infant, Premature, Magnetic Resonance Imaging, Male, Nerve Net
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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.
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