Brain anatomical networks in early human brain development
Open accessAbstract
Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1 month, 1 year, and 2 years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1 year and 2 years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Structural covariance networks of grey-matter volume and cortical thickness exhibit small-world properties and modular organization at birth and at three years.
“SCNs of grey-matter volume and cortical thickness exhibit small-world properties and modular organization at birth58 and 3 years59.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [58]
Graph-theoretic studies using gray matter volume and diffusion MRI tractography have shown age-dependent changes in global topological properties.
“graph-theoretic studies using gray matter volume (Fan et al. 2011) and diffusion MRI tractography (Hagmann et al. 2010) have shown age-dependent changes in the global topological properties”
From Developmental Changes in Organization of Structural Brain Networks (2013) · cites this paper as Fan et al. 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500 · see citing works
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230 · see citing works
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
A set of measures of centrality based upon betweenness
Freeman, L. (1977) · Sociometry · doi:10.2307/3033543 · Cited by 10,557 · see citing works
Finding community structure in very large networks
Clauset, A., Newman, M. E. J., & Moore, C. (2004) · Physical Review E · doi:10.1103/physreve.70.066111 · Cited by 7,390 · see citing works
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
Efficient behavior of small-world networks
Latora, V., & Marchiori, M. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.198701 · Cited by 5,119 · see citing works
Functional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983 · see citing works
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260 · see citing works
Specificity and Stability in Topology of Protein Networks
Maslov, S., & Sneppen, K. (2002) · Science · doi:10.1126/science.1065103 · Cited by 3,051 · see citing works
An algorithm for drawing general undirected graphs
Kamada, T., & Kawai, S. (1989) · Information Processing Letters · doi:10.1016/0020-0190(89)90102-6 · Cited by 2,670 · see citing works
Bassett, D. S., & Bullmore, E. (2006) · The Neuroscientist · doi:10.1177/1073858406293182 · Cited by 2,600 · see citing works
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553 · see citing works
Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3874-05.2006 · Cited by 2,393 · see citing works
Organization, development and function of complex brain networks
SPORNS, O., CHIALVO, D., KAISER, M., & HILGETAG, C. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.008 · Cited by 2,055 · see citing works
Tononi, G., Sporns, O., & Edelman, G. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.11.5033 · Cited by 1,626 · see citing works
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works
In vivo evidence for post-adolescent brain maturation in frontal and striatal regions
Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999) · Nature Neuroscience · doi:10.1038/13154 · Cited by 1,439 · see citing works
Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI
Yong He, A., Chen, Z. J., & Evans, A. C. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl149 · Cited by 1,341 · see citing works
Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain
Salvador, R. M., John Suckling, A., Coleman, M. R., Pickard, J. D., Menon, D. K., & Bullmore, E. T. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi016 · Cited by 1,334 · see citing works
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314 · see citing works
Development of distinct control networks through segregation and integration
Fair, D. A., Dosenbach, N. U. F., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705843104 · Cited by 1,244 · see citing works
Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia
Bassett, D. S., Bullmore, E. T., Verchinski, B. A., Mattay, V. S., Weinberger, D. R., & Meyer‐Lindenberg, A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1929-08.2008 · Cited by 1,203 · see citing works
Handbook of Developmental Cognitive Neuroscience
(2008) · The MIT Press eBooks · doi:10.7551/mitpress/7437.001.0001 · Cited by 1,188 · see citing works
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Knickmeyer, R. C., Gouttard, S., Kang, C., Evans, D., Wilber, K., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., & Gilmore, J. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3479-08.2008 · Cited by 1,151 · see citing works
Self-citationGong, G., He, Y., Concha, L., Lebel, C., Gross, D. W., Evans, A. C., & Beaulieu, C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn102 · Cited by 1,112 · see citing works
HAMMER: hierarchical attribute matching mechanism for elastic registration
Shen, D. G., & Davatzikos, C. A. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.803111 · Cited by 1,089 · see citing works
Self-citationGraph theoretical analysis of complex networks in the brain
Stam, C. J., & Reijneveld, J. C. (2007) · Nonlinear Biomedical Physics · doi:10.1186/1753-4631-1-3 · Cited by 1,036 · see citing works
Disrupted small-world networks in schizophrenia
Liu, Y., Liang, M., Zhou, Y., Yong He, A., Hao, Y., Song, M., Yu, C., Liu, H., Liu, Z., & Jiang, T. (2008) · Brain · doi:10.1093/brain/awn018 · Cited by 1,020 · see citing works
Handbook of developmental cognitive neuroscience
O’Connor, T. G. (2002) · Attachment & Human Development · Cited by 873 · see citing works
Sporns, O., & Kötter, R. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020369 · Cited by 805 · see citing works
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V. J., Meuli, R., & Thiran, J.-P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000597 · Cited by 788 · see citing works
Economic small-world behavior in weighted networks
Latora, V., & Massimo Marchiori, B. (2003) · The European Physical Journal B · doi:10.1140/epjb/e2003-00095-5 · Cited by 775 · see citing works
Age-related changes in modular organization of human brain functional networks
Meunier, D., Achard, S., Morcom, A., & Bullmore, E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.062 · Cited by 756 · see citing works
Sowell, E. R., Trauner, D. A., Gamst, A., & Jernigan, T. L. (2002) · Developmental Medicine and Child Neurology · doi:10.1017/s0012162201001591 · Cited by 701 · 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
Gao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., & Lin, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811221106 · Cited by 601 · see citing works
Self-citationDevelopment of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572 · see citing works
Stam, C. J. (2003) · Neuroscience Letters · doi:10.1016/j.neulet.2003.10.063 · Cited by 550 · see citing works
Studying the human brain anatomical network via diffusion-weighted MRI and graph theory
Iturria-Medina, Y., Sotero, R. C., Canales-Rodríguez, E. J., Alemán-Gómez, Y., & Melie-García, L. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.060 · Cited by 506 · see citing works
Chen, Z. J., He, Y., Rosa-Neto, P., Germann, J., & Evans, A. C. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn003 · Cited by 484 · see citing works
LUNA, B., & SWEENEY, J. A. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.035 · Cited by 467 · cited 2× · see citing works
“Studies of the brain development using resting fMRI and EEG also demonstrate that functional connectivity increases with age (Bunge andWright, 2007; Fair et al., 2008, 2009, 2007; Luna and Sweeney, 2004; Srinivasan, 1999).”
Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain
Gilmore, J. H., Lin, W., Prastawa, M. W., Looney, C. B., Vetsa, Y. S. K., Knickmeyer, R. C., Evans, D. D., Smith, J. K., Hamer, R. M., Lieberman, J. A., et al. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3339-06.2007 · Cited by 465 · see citing works
Self-citationUndirected graphs of frequency-dependent functional connectivity in whole brain networks
Salvador, R., Suckling, J., Schwarzbauer, C., & Bullmore, E. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1645 · Cited by 437 · see citing works
White and gray matter development in human fetal, newborn and pediatric brains
Huang, H., Zhang, J.-Y., Wakana, S., Zhang, W., Ren, T., Richards, L. J., Yarowsky, P., Donohue, P., Graham, E. M., van Zijl, P., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.009 · Cited by 404 · see citing works
Neurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381 · see citing works
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest
Gousias, I. S., Rueckert, D., Heckemann, R. A., Dyet, L. E., Boardman, J. P., Edwards, A. D., & Hammers, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.034 · Cited by 356 · see citing works
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory
Iturria‐Medina, Y., Canales-Rodríguez, E. J., Melie‐García, L., Valdes-Hernandez, P. A., Martínez‐Montes, E., Alemán‐Gómez, Y., & Sánchez‐Bornot, J. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.012 · Cited by 341 · see citing works
Age-related Volumetric Changes of Brain Gray and White Matter in Healthy Infants and Children
Matsuzawa, J. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.4.335 · Cited by 315 · see citing works
Cognitive Modularity and Genetic Disorders
Paterson, S., Brown, J. H., Gsödl, M., Johnson, M. H., & Karmiloff‐Smith, A. (1999) · Science · doi:10.1126/science.286.5448.2355 · Cited by 305 · see citing works
Gao, W., Lin, W., Chen, Y., Gerig, G., Smith, J. K., Jewells, V. L., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1363 · Cited by 299 · see citing works
Self-citationBartolomei, F., Bosma, I., Klein, M., Baayen, J. C., Reijneveld, J. C., Postma, T. J., Heimans, J. J., van Dijk, B. W., de Munck, J. C., de Jongh, A., et al. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.05.018 · Cited by 276 · see citing works
Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain
Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1256 · Cited by 222 · see citing works
Self-citationNeonatal brain image segmentation in longitudinal MRI studies
Shi, F., Yong Fan, A., Songyuan, T., Gilmore, J. H., Lin, W., & Shen, D. G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.066 · Cited by 197 · see citing works
Self-citationVery High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration
Shen, D. G., & Davatzikos, C. A. (2002) · NeuroImage · doi:10.1006/nimg.2002.1301 · Cited by 165 · see citing works
Self-citationMent, L. R., Kesler, S. R., Vohr, B. R., Katz, K. H., Baumgartner, H. A., Schneider, K. C., Delancy, S., Silbereis, J. C., Duncan, C. C., Constable, R. T., et al. (2009) · PEDIATRICS · doi:10.1542/peds.2008-0025 · Cited by 157 · see citing works
Small-world network organization of functional connectivity of EEG slow-wave activity during sleep
Ferri, R., Rundo, F., Bruni, O., Terzano, M. G., & Stam, C. J. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.10.021 · Cited by 142 · see citing works
Gilmore, J. H., Lin, W., Corouge, I., Vetsa, Y. S. K., Smith, J. K., Kang, C., Gu, H., Hamer, R. M., Lieberman, J. A., & Gerig, G. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0751 · Cited by 123 · see citing works
Self-citationStructural MRI and Brain Development
Thompson, P. M., Sowell, E. R., Gogtay, N., Giedd, J. N., Vidal, C. N., Hayashi, K. M., Leow, A., Nicolson, R., Rapoport, J. L., & Toga, A. W. (2005) · International review of neurobiology · doi:10.1016/s0074-7742(05)67009-2 · Cited by 112 · see citing works
Srinivasan, R. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00080-2 · Cited by 112 · see citing works
The Relation between Connection Length and Degree of Connectivity in Young Adults: A DTI Analysis
Lewis, J. D., Theilmann, R. J., Sereno, M. I., & Townsend, J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn105 · Cited by 49 · see citing works
Shi, F., Yong Fan, A., Songyuan, T., Gilmore, J. H., Lin, W., & Shen, D. G. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.811610 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013 · see citing works
Self-citationImaging structural co-variance between human brain regions
Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064 · see citing works
Dubois, J., Dehaene-Lambertz, G., Kulikova, S., Poupon, C., Hüppi, P. S., & Hertz-Pannier, L. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.044 · Cited by 851 · see citing works
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
Zhang, W., Li, R., Deng, H., Wang, L., Lin, W., Ji, S., & Shen, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.061 · Cited by 817 · see citing works
Self-citationTrauma-Informed Care in Inpatient Mental Health Settings: A Review of The Literature
Muskett, C. (2014) · International Journal of Mental Health Nursing · doi:10.1111/inm.12012 · Cited by 441 · see citing works
Networks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429 · see citing works
Li, G., Wang, L., Shi, F., Lyall, A. E., Lin, W., Gilmore, J. H., & Shen, D. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3976-13.2014 · Cited by 251 · see citing works
Self-citationDevelopmental Changes in Organization of Structural Brain Networks
Khundrakpam, B. S., Reid, A., Brauer, J., Carbonell, F., Lewis, J., Ameis, S., Karama, S., Lee, J., Chen, Z., Das, S., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs187 · Cited by 234 · see citing works
The development of hub architecture in the human functional brain network
Hwang, K., Hallquist, M. N., & Luna, B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs227 · Cited by 226 · see citing works
Development of Human Brain Structural Networks Through Infancy and Childhood
Huang, H., Shu, N., Mishra, V., Jeon, T., Chalak, L., Wang, Z. J., Rollins, N., Gong, G., Cheng, H., Peng, Y., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht335 · Cited by 223 · see citing works
Vértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197 · see citing works
Neuronal connectivity in major depressive disorder: a systematic review
Helm, K., Viol, K., Weiger, T. M., Tass, P. A., Grefkes, C., del Monte, D., & Schiepek, G. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s170989 · Cited by 164 · 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
Sun, Y., Yin, Q., Fang, R., Yan, X., Wang, Y., Bezerianos, A., Tang, H., Miao, F., & Sun, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096505 · Cited by 122 · see citing works
Network inefficiencies in autism spectrum disorder at 24 months.
Lewis, J. D., Evans, A. C., Pruett, J. R., Botteron, K., Zwaigenbaum, L., Estes, A., Gerig, G., Collins, L., Kostopoulos, P., McKinstry, R., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.24 · Cited by 110 · see citing works
Dynamics of the human structural connectome underlying working memory training
Caeyenberghs, K., Metzler-Baddeley, C., Foley, S., & Jones, D. K. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1973-15.2016 · Cited by 91 · see citing works
Early human brain development: Starring the subplate
Hadders-Algra, M. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.017 · Cited by 100 · see citing works
Comparing connectomes across subjects and populations at different scales
Meskaldji, D. E., Fischi-Gomez, E., Griffa, A., Hagmann, P., Morgenthaler, S., & Thiran, J.-P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.084 · Cited by 77 · see citing works
Graph theoretical analysis of developmental patterns of the white matter network
Chen, Z., Liu, M., Gross, D. W., & Beaulieu, C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00716 · Cited by 77 · see citing works
Richmond, S., Johnson, K. A., Seal, M. L., Allen, N. B., & Whittle, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.024 · Cited by 70 · see citing works
Balancing the Brain: Resting State Networks and Deep Brain Stimulation
Kringelbach, M. L., Green, A. L., & Aziz, T. Z. (2011) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2011.00008 · Cited by 72 · see citing works
Do mental health clinicians elicit a history of previous trauma in female psychiatric inpatients?
Xiao, C. L., Gavrilidis, E., Lee, S., & Kulkarni, J. (2016) · Journal of Mental Health · doi:10.3109/09638237.2016.1139074 · Cited by 22 · see citing works
Jiang, L., Zhang, T., Lv, F., Li, S., Liu, H., Zhang, Z., & Luo, T. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00010 · Cited by 13 · see citing works
- Authors
- Fan, Y., Shi, F., Smith, J. K., Lin, W., Gilmore, J. H., & Shen, D.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 54
- Issue
- 3
- Pages
- 1862-1871
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3023885
- OpenAlex
- W2089829955
- Cited by
- 225
- References
- 66
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 11 · 2023: 15 · 2022: 7 · 2021: 17 · 2020: 10 · 2019: 12 · 2018: 20 · 2017: 11 · 2016: 18 · 2015: 12 · 2014: 20 · 2013: 36 · 2012: 12
- FWCI
- 10.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Hundred Talents Program of Chinese Academy of Sciences (30970770)
- National High Technology Research and Development Program (863 Program) of China (2009AA02Z302)
- NIH (EB009724, EB006733, EB008374, EB009634, MH088520, MH070890, MH064065, NS055754, and HD053000)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- small-world networks, modular organization, cost efficiency, longitudinal MRI, infants, information transmission
- MeSH terms
- Adult, Algorithms, Brain, Cerebral Cortex, Child, Child, Preschool, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Infant, Magnetic Resonance Imaging, Male, Nerve Net, Young Adult
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
