Topological organization of the human brain functional connectome across the lifespan
Open accessAbstract
Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart the lifespan trajectory of the topological organization of human whole-brain functional networks in 126 healthy individuals ranging in age from 7 to 85 years. Brain networks were constructed by computing Pearson's correlations in blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed by graph-based network analyses. We observed that the human brain functional connectome exhibited highly preserved non-random modular and rich club organization over the entire age range studied. Further quantitative analyses revealed linear decreases in modularity and inverted-U shaped trajectories of local efficiency and rich club architecture. Regionally heterogeneous age effects were mainly located in several hubs (e.g., default network, dorsal attention regions). Finally, we observed inverse trajectories of long- and short-distance functional connections, indicating that the reorganization of connectivity concentrates and distributes the brain's functional networks. Our results demonstrate topological changes in the whole-brain functional connectome across nearly the entire human lifespan, providing insights into the neural substrates underlying individual variations in behavior and cognition. These results have important implications for disease connectomics because they provide a baseline for evaluating network impairments in age-related neuropsychiatric disorders.
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In adulthood, high strength and betweenness hubs are largely located within default mode, attentional, sensorimotor, and visual areas.
“high strength and betweenness hubs in adulthood are largely located within within the default mode, attentional, sensorimotor, and visual areas (Cao et al., 2014; Fransson et al., 2011; Grayson et al., 2014; Hwang et al., 2013)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Cao et al., 2014
Among cortical areas, some report increasing hubness of frontal nodes, while other lobes show mixed reports of increasing, decreasing, or stable hubness.
“Among cortical areas, some have reported increasing hubness of frontal nodes (Cao et al., 2014; Wu et al., 2013) while in other lobes there have been mixed reports of increasing (Cao et al., 2014; Grayson et al., 2014) and decreasing (Wu et al., 2013; Zuo et al., 2012), or stable (Hwang et al., 2013) hubness.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Cao et al., 2014
There is convergent evidence that locations of high-strength and high-betweenness hub regions are stable after 5 years of age.
“Returning to the MRI literature, there is convergent evidence that the locations of high-strength and high-betweenness hub regions appear to be stable after 5 years of age (Cao et al., 2014; Grayson et al., 2014; Hwang et al., 2013; Wang et al., 2012; Wu et al., 2013; Zuo et al., 2012).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Cao et al., 2014
Specific connections to cortical hub regions increase during childhood and adolescence, resulting in increased rich club coefficients in adulthood.
“More detailed network analyses have revealed that specific connections to cortical hub regions increase during childhood and adolescence (Grayson et al., 2014; Hwang et al., 2013) resulting in increased rich club coefficients in adulthood (Cao et al., 2014; Grayson et al., 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Cao et al., 2014
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A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879 · see citing works
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256 · 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
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · 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
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · see citing works
Regression and time series model selection in small samples
HURVICH, C. M., & TSAI, C.-L. (1989) · Biometrika · doi:10.1093/biomet/76.2.297 · Cited by 6,586 · 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
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106 · see citing works
Self-citationMovement‐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
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284 · 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
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970 · see citing works
Self-citationBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · 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
Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387 · 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
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344 · see citing works
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328 · see citing works
Prediction of individual brain maturity using fMRI
Dosenbach, N. U. F., Nardos, B., Cohen, A. L., Fair, D. A., Power, J. D., Church, J. A., Nelson, S. M., Wig, G. S., Vogel, A. C., Lessov-Schlaggar, C. N., et al. (2010) · Science · doi:10.1126/science.1194144 · Cited by 2,183 · see citing works
Network modelling methods for FMRI
Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878 · see citing works
The global signal and observed anticorrelated resting state brain networks
Fox, M. D., Zhang, D., Snyder, A. Z., & Raichle, M. E. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90777.2008 · Cited by 1,877 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644 · see citing works
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592 · see citing works
Positron emission tomography study of human brain functional development
Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987) · Annals of Neurology · doi:10.1002/ana.410220408 · Cited by 1,548 · 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
Structural and functional brain development and its relation to cognitive development
Casey, B. J., Giedd, J. N., & Thomas, K. M. (2000) · Biological Psychology · doi:10.1016/s0301-0511(00)00058-2 · Cited by 1,506 · see citing works
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461 · see citing works
Self-citationThe 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
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · see citing works
Network Centrality in the Human Functional Connectome
Zuo, X., Ehmke, R. C., Mennes, M., Imperati, D., Castellanos, F. X., Sporns, O., & Milham, M. P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr269 · Cited by 1,169 · see citing works
Self-citationWhole-brain anatomical networks: does the choice of nodes matter?
Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yücel, M., Pantelis, C., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.027 · Cited by 1,169 · see citing works
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161 · see citing works
Modular and hierarchically modular organization of brain networks
Meunier, D., Lambiotte, R., & Bullmore, E. T. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00200 · Cited by 1,156 · see citing works
Kirschner, M., & Gerhart, J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.15.8420 · Cited by 1,129 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Diffusion tensor imaging of white matter tract evolution over the lifespan
Lebel, C., Gee, M., Camicioli, R., Wieler, M., Martin, W., & Beaulieu, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.094 · Cited by 1,100 · see citing works
Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences
Fjell, A. M., & Walhovd, K. B. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.3.187 · Cited by 1,085 · see citing works
Efficiency of Functional Brain Networks and Intellectual Performance
van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1443-09.2009 · Cited by 1,078 · see citing works
Human brain networks in health and disease
Bassett, D. S., & Bullmore, E. T. (2009) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32832d93dd · Cited by 894 · see citing works
What has fMRI told us about the Development of Cognitive Control through Adolescence?
Luna, B., Padmanabhan, A., & O’Hearn, K. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.08.005 · Cited by 892 · see citing works
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry
Nooner, K. B., Colcombe, S., Tobe, R. H., Mennes, M., Benedict, M. M., Moreno, A. L., Panek, L. J., Brown, S., Zavitz, S. T., Li, Q., et al. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00152 · Cited by 855 · see citing works
Self-citationStructural MRI of pediatric brain development: what have we learned and where are we going?
Giedd, J. N., & Rapoport, J. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.040 · Cited by 836 · see citing works
Age-related alterations in white matter microstructure measured by diffusion tensor imaging
Salat, D. H., Tuch, D. S., Greve, D. N., van der Kouwe, A. J. W., Hevelone, N. D., Zaleta, A. K., Rosen, B. R., Fischl, B. R., Corkin, S., Rosas, H. D., et al. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.09.017 · Cited by 832 · see citing works
Development of large-scale functional brain networks in children
Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000157 · Cited by 807 · see citing works
High-cost, high-capacity backbone for global brain communication
van den Heuvel, M. P., Kahn, R. S., Goñi, J., & Sporns, O. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1203593109 · Cited by 781 · 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
Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · 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
Zuo, X., Kelly, C. A. M., Martino, A. D., Mennes, M., Margulies, D. S., Bangaru, S. D., Grzadzinski, R., Evans, A. C., Zang, Y., Castellanos, F. X., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2612-10.2010 · Cited by 741 · see citing works
Self-citationvan den Heuvel, M. P., Stam, C. J., Boersma, M., & Pol, H. E. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.010 · Cited by 720 · see citing works
Evidence for hubs in human functional brain networks
Power, J. D., Schlaggar, B. L., Lessov-Schlaggar, C. N., & Petersen, S. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.035 · Cited by 716 · see citing works
Graph theoretical modeling of brain connectivity
Yong He, A., & Evans, A. C. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833aa567 · Cited by 701 · see citing works
Liang, X., Zou, Q., He, Y., & Yang, Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214900110 · Cited by 677 · see citing works
Hierarchical modularity in human brain functional networks
David Meunier, A. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.037.2009 · Cited by 660 · see citing works
Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study
Wang, J., Wang, L. Y., Zang, Y., Yang, H., Tang, H., Gong, Q., Chen, Z., Zhu, C., & Yong He, A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20623 · Cited by 657 · see citing works
Self-citationAge- and Gender-Related Differences in the Cortical Anatomical Network
Gong, G., Rosa‐Neto, P., Carbonell, F., Chen, Z. J., Yong He, A., & Evans, A. C. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2308-09.2009 · Cited by 625 · see citing works
Aging and functional brain networks
Tomasi, D., & Volkow, N. D. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.81 · Cited by 578 · see citing works
Development 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
Self-citationIdentifying the brain's most globally connected regions
Cole, M. W., Pathak, S., & Schneider, W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.001 · Cited by 557 · see citing works
Revisiting the Foundations of Network Analysis
Butts, C. T. (2009) · Science · doi:10.1126/science.1171022 · Cited by 544 · see citing works
Supekar, K., Uddin, L. Q., Prater, K. E., Amin, H., Greicius, M. D., & Menon, V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.009 · Cited by 524 · see citing works
Uddin, L. Q., Supekar, K. S., Ryali, S., & Menon, V. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4465-11.2011 · Cited by 520 · see citing works
White matter development in adolescence: A DTI study
Asato, M. R., Terwilliger, R., Woo, J., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp282 · Cited by 512 · see citing works
Zuo, X., Xu, T., Jiang, L., Yang, Z., Cao, X., Yong He, A., Zang, Y., Castellanos, F. X., & Milham, M. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.017 · Cited by 506 · see citing works
Self-citationAge-related Changes in Brain Activity across the Adult Lifespan
Grady, C. L., Springer, M. V., Hongwanishkul, D., McIntosh, A. R., & Winocur, G. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.2.227 · Cited by 497 · see citing works
Yong He, A., Dagher, A., Chen, Z., Charil, A., Zijdenbos, A. P., Worsley, K. J., & Evans, A. C. (2009) · Brain · doi:10.1093/brain/awp089 · Cited by 454 · see citing works
Network scaling effects in graph analytic studies of human resting-state fMRI data
Fornito, A. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00022 · Cited by 433 · see citing works
Age and sex effects in the EEG: development of the normal child
Clarke, A. R., Barry, R. J., McCarthy, R., & Selikowitz, M. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00488-6 · Cited by 407 · see citing works
An anatomical substrate for integration among functional networks in human cortex
van den Heuvel, M. P., & Sporns, O. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2128-13.2013 · Cited by 404 · see citing works
Weight consistency specifies regularities of macaque cortical networks
Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., Gariel, M. A., Giroud, P., Ercsey-Ravasz, M., Pilaz, L. J., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq201 · Cited by 386 · see citing works
Hayasaka, S., & Laurienti, P. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.051 · Cited by 374 · see citing works
Functional connectivity hubs in the human brain
Tomasi, D., & Volkow, N. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.024 · Cited by 367 · see citing works
Alexander‐Bloch, A. F., Vértes, P. E., Stidd, R., Lalonde, F. M., CLASEN, L. S., Rapoport, J. L., Giedd, J. N., Bullmore, E. T., & Gogtay, N. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr388 · Cited by 310 · see citing works
EEG and ERP assessment of normal aging
Polich, J. M. (1997) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/s0168-5597(97)96139-6 · Cited by 303 · see citing works
The parcellation-based connectome: limitations and extensions
de Reus, M. A., & van den Heuvel, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.053 · Cited by 282 · see citing works
Collin, G., Sporns, O., Mandl, R. C. W., & van den Heuvel, M. P. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht064 · Cited by 252 · see citing works
Characterizing variation in the functional connectome: promise and pitfalls
Kelly, C. A. M., Biswal, B. B., Craddock, R. C., Castellanos, F. X., & Milham, M. P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.02.001 · Cited by 250 · see citing works
Self-citationBrain structural trajectories over the adult lifespan
Ziegler, G., Dahnke, R., Jäncke, L., Yotter, R. A., May, A., & Christian Gaser, B. (2011) · Human Brain Mapping · doi:10.1002/hbm.21374 · Cited by 229 · 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
Wu, K., Taki, Y., Sato, K., Hashizume, H., Sassa, Y., Takeuchi, H., Thyreau, B., Yong He, A., Evans, A. C., Li, X., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055347 · Cited by 176 · see citing works
Stam, C. J. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.06.024 · Cited by 169 · see citing works
Networks of task co-activations
Laird, A. R., Eickhoff, S. B., Rottschy, C., Bzdok, D., Ray, K. L., & Fox, P. T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.073 · Cited by 168 · see citing works
Tanna, N. K., Kohn, M., Horwich, D., Jolles, P. R., Zimmerman, R. A., Alves, W. M., & Alavi, A. (1991) · Radiology · doi:10.1148/radiology.178.1.1984290 · Cited by 148 · see citing works
Default-mode function and task-induced deactivation have overlapping brain substrates in children
Thomason, M. E., Chang, C. E., Glover, G. H., Gabrieli, J. D. E., Greicius, M. D., & Gotlib, I. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.029 · Cited by 142 · see citing works
Alavi, A. A., Newberg, A. B., Souder, E., & Berlin, J. A. (1993) · PubMed · Cited by 141 · see citing works
Mowinckel, A. M., Espeseth, T., & Westlye, L. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.004 · Cited by 139 · see citing works
Connectivity trajectory across lifespan differentiates the precuneus from the default network
Yang, Z., Chang, C., Xu, T., Jiang, L., Handwerker, D. A., Castellanos, F. X., Milham, M. P., Bandettini, P. A., & Zuo, X. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.039 · Cited by 131 · see citing works
Self-citationWu, J., Wu, H.-Z., Yan, C., Chen, W., Zhang, H., Yong He, A., & Yang, H. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.08.059 · Cited by 122 · see citing works
Synaptic development in human cerebral cortex.
Pr, H., de Courten, C., Lj, G., & Van der Loos, H. (1982) · PubMed · Cited by 117 · see citing works
Decoding lifespan changes of the human brain using resting-state functional connectivity MRI
Wang, L., Su, L., Shen, H., & Hu, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044530 · Cited by 115 · see citing works
Mwangi, B., Hasan, K. M., & Soares, J. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.055 · Cited by 106 · see citing works
Functional network architecture of reading-related regions across development
Vogel, A. C., Church, J. A., Power, J. D., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2013) · Brain and Language · doi:10.1016/j.bandl.2012.12.016 · Cited by 82 · see citing works
Oler, J. A., Birn, R. M., Patriat, R., Fox, A. S., Shelton, S. E., Burghy, C. A., Stodola, D. E., Essex, M. J., Davidson, R. J., & Kalin, N. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.045 · Cited by 67 · see citing works
Age-related changes in the topological architecture of the brain during hand grip
Park, C.-H., Boudrias, M., Rossiter, H. E., & Ward, N. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.08.003 · Cited by 15 · see citing works
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Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657 · see citing works
Self-citationControllability of structural brain networks
Gu, S., Pasqualetti, F., Cieslak, M., Telesford, Q. K., Yu, A. B., Kahn, A. E., Medaglia, J. D., Vettel, J. M., Miller, M. B., Grafton, S. T., et al. (2015) · Nature Communications · doi:10.1038/ncomms9414 · Cited by 912 · see citing works
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works
Self-citationDecreased segregation of brain systems across the healthy adult lifespan
Chan, M. Y., Park, D. C., Savalia, N. K., Petersen, S. E., & Wig, G. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415122111 · Cited by 867 · see citing works
Farahani, F. V., Karwowski, W., & Lighthall, N. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00585 · Cited by 719 · see citing works
Zuo, X., & Xing, X.-X. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.05.009 · Cited by 657 · see citing works
Self-citationAn Integrative Model of the Maturation of Cognitive Control
Luna, B., Marek, S., Larsen, B., Tervo-Clemmens, B., & Chahal, R. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034054 · Cited by 550 · see citing works
Effects of aging on functional and structural brain connectivity
Damoiseaux, J. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.077 · Cited by 557 · see citing works
The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes
Feczko, E., Miranda-Dominguez, O., Marr, M., Graham, A. M., Nigg, J. T., & Fair, D. A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.03.009 · Cited by 443 · see citing works
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
Small-world human brain networks: Perspectives and challenges
Liao, X., Vasilakos, A. V., & Yong He, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.03.018 · Cited by 431 · see citing works
Emergence of system roles in normative neurodevelopment
Gu, S., Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., & Bassett, D. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502829112 · Cited by 338 · see citing works
Unraveling the Miswired Connectome: A Developmental Perspective
Martino, A. D., Fair, D. A., Kelly, C. A. M., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R. C., Luna, B., LEVENTHAL, B. L., Zuo, X., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.050 · Cited by 346 · see citing works
Self-citationGrady, C. L., Sarraf, S., Saverino, C., & Campbell, K. L. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.020 · Cited by 336 · see citing works
Jiang, L., & Zuo, X. (2015) · The Neuroscientist · doi:10.1177/1073858415595004 · Cited by 331 · see citing works
Self-citationGenerative models of the human connectome
Betzel, R. F., Avena-Koenigsberger, A., Goñi, J., He, Y., de Reus, M. A., Griffa, A., Vértes, P. E., Mišic, B., Thiran, J.-P., Hagmann, P., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.041 · Cited by 303 · see citing works
Self-citationThe development of brain network hubs
Oldham, S., & Fornito, A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.005 · Cited by 244 · see citing works
Understanding Structural-Functional Relationships in the Human Brain
Wang, Z., Dai, Z., Gong, G., Zhou, C., & Yong He, A. (2014) · The Neuroscientist · doi:10.1177/1073858414537560 · Cited by 222 · see citing works
Self-citationZhang, C., Dougherty, C. C., Baum, S. A., White, T. J. H., & Michael, A. M. (2018) · Human Brain Mapping · doi:10.1002/hbm.23950 · Cited by 217 · see citing works
Human Connectomics across the Life Span
Zuo, X., He, Y., Betzel, R. F., Colcombe, S. J., Sporns, O., & Milham, M. P. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.10.005 · Cited by 211 · see citing works
Self-citationZhao, T., Cao, M., Niu, H., Zuo, X., Evans, A., He, Y., Dong, Q., & Shu, N. (2015) · Human Brain Mapping · doi:10.1002/hbm.22877 · Cited by 209 · see citing works
Self-citationVértes, P. E., & Bullmore, E. T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12365 · Cited by 197 · see citing works
Neurostimulation Devices for the Treatment of Neurologic Disorders
Edwards, C. A., Kouzani, A. Z., Lee, K. H., & Ross, E. K. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.05.005 · Cited by 201 · see citing works
Pallavicini, F., Ferrari, A., & Mantovani, F. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02127 · Cited by 215 · see citing works
Anterior insular cortex plays a critical role in interoceptive attention
Wang, X., Wu, Q., Egan, L., Gu, X., Liu, P., Gu, H., Yang, Y., Luo, J., Wu, Y., Gao, Z., et al. (2019) · eLife · doi:10.7554/elife.42265 · Cited by 204 · see citing works
Is “efficiency” a useful concept in cognitive neuroscience?
Poldrack, R. A. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.06.001 · Cited by 188 · see citing works
Li, H., Hou, X., Liu, H., Yue, C., Lu, G., & Zuo, X. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.013 · Cited by 177 · see citing works
Self-citationCao, M., Yong He, A., Dai, Z., Liao, X., Jeon, T., Ouyang, M., Chalak, L. F., Bi, Y., Rollins, N. K., Dong, Q., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw038 · Cited by 182 · see citing works
Self-citationNomi, J. S., Bolt, T. S., Ezie, C. E. C., Uddin, L. Q., & Heller, A. S. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-16.2017 · Cited by 164 · see citing works
Asymmetric development of dorsal and ventral attention networks in the human brain
Farrant, K., & Uddin, L. Q. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.02.001 · Cited by 177 · see citing works
Geerligs, L., Tsvetanov, K. A., Cam‐CAN, & Henson, R. N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23653 · Cited by 174 · see citing works
Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation
Afyouni, S., Smith, S. M., & Nichols, T. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.011 · Cited by 169 · see citing works
Deery, H. A., Paolo, R. D., Moran, C., Egan, G. F., & Jamadar, S. D. (2022) · Psychophysiology · doi:10.1111/psyp.14159 · Cited by 171 · see citing works
A Connectome Computation System for discovery science of brain
Xu, T., Yang, Z., Jiang, L., Xing, X.-X., & Zuo, X. (2015) · 中国科学通报：英文版 · doi:10.1007/s11434-014-0698-3 · Cited by 167 · see citing works
Self-citationKing, B. R., van Ruitenbeek, P., Leunissen, I., Cuypers, K., Heise, K.-F., Monteiro, T. S., Hermans, L., Levin, O., Albouy, G., Mantini, D., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx297 · Cited by 155 · see citing works
Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
Diessen, E. G. A. L. V., Zweiphenning, W. J. E. M., Jansen, F. E., Stam, C. J., Braun, K. P. J., & Otte, W. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114606 · Cited by 158 · see citing works
Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder
Cao, M., Shu, N., Cao, Q., Wang, Y., & Yong He, A. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8685-x · Cited by 153 · see citing works
Self-citationToward Developmental Connectomics of the Human Brain
Cao, M., Huang, H., Peng, Y., Dong, Q., & Yong He, A. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00025 · Cited by 147 · see citing works
Self-citationCassady, K. E., Gagnon, H. C., Lalwani, P., Simmonite, M., Foerster, B. R., Park, D. C., Peltier, S., Petrou, M., Taylor, S. F., Weissman, D. H., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.008 · Cited by 149 · see citing works
Stevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 138 · see citing works
Chen, B., Xu, T., Zhou, C., Wang, L., Yang, N., Wang, Z., Dong, H.-M., Yang, Z., Zang, Y., Zuo, X., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144963 · Cited by 136 · see citing works
Self-citationIntrinsic 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
Changes in Brain Network Efficiency and Working Memory Performance in Aging
Stanley, M. L., Simpson, S. L., Dagenbach, D., Lyday, R. G., Burdette, J. H., & Laurienti, P. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123950 · Cited by 129 · see citing works
Sun, X., Sun, J., Lu, X., Dong, Q., Zhang, L., Wang, W., Liu, J., Ma, Q., Wang, X., Wei, D., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.021 · Cited by 129 · see citing works
Self-citationJiang, L., Xu, T., He, Y., Hou, X., Wang, J., Cao, X., Wei, G., Yang, Z., Yong He, A., & Zuo, X. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0795-8 · Cited by 125 · see citing works
Self-citationWhat have we really learned from functional connectivity in clinical populations?
Zhang, J., Kucyi, A., Raya, J., Nielsen, A. N., Nomi, J. S., Damoiseaux, J. S., Greene, D. J., Horovitz, S. G., Uddin, L. Q., & Whitfield, S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118466 · Cited by 124 · see citing works
Development of functional connectome gradients during childhood and adolescence
Xia, Y., Xia, M., Liu, J., Liao, X., Lei, T., Liang, X., Zhao, T., Shi, Z., Sun, L., Chen, X., et al. (2022) · 中国科学通报：英文版 · doi:10.1016/j.scib.2022.01.002 · Cited by 124 · see citing works
Self-citationParet, C., Goldway, N., Zich, C., Keynan, J. N., Hendler, T., Linden, D. E. J., & Kadosh, K. C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116107 · Cited by 118 · see citing works
Age-related neural dedifferentiation and cognition
Koen, J. D., Srokova, S., & Rugg, M. D. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.01.006 · Cited by 118 · see citing works
Human lifespan changes in the brain’s functional connectome
Sun, L., Zhao, T., Liang, X., Xia, M., Li, Q., Liao, X., Gong, G., Wang, Q., Pang, C., Yu, Q., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01907-4 · Cited by 127 · see citing works
Self-citationHilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2016) · Intelligence · doi:10.1016/j.intell.2016.11.001 · Cited by 107 · see citing works
Longitudinal Changes in the Cerebral Cortex Functional Organization of Healthy Elderly
Chong, J. S. X., Ng, K. K., Tandi, J., Wang, C., Poh, J.-H., Lo, J. C.-Y., Chee, M. W. L., & Zhou, J. H. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1451-18.2019 · Cited by 105 · see citing works
Stumme, J., Jockwitz, C., Hoffstaedter, F., Amunts, K., & Caspers, S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116756 · Cited by 105 · see citing works
Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan
Kupis, L. B., Goodman, Z. T., Kornfeld, S., Hoang, S., Romero, C., Dirks, B., Dehoney, J., Chang, C., Spreng, R. N., Nomi, J. S., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab156 · Cited by 98 · see citing works
Atypical developmental of dorsal and ventral attention networks in autism
Farrant, K., & Uddin, L. Q. (2015) · Developmental Science · doi:10.1111/desc.12359 · Cited by 97 · see citing works
Lu, X., Yang, Y., Wu, F., Gao, M., Xu, Y., Zhang, Y., Yao, Y., Du, X., Li, C., Wu, L., et al. (2016) · Medicine · doi:10.1097/md.0000000000003973 · Cited by 101 · see citing works
Dohm-Hansen, S., English, J. A., Lavelle, A., Fitzsimons, C. P., Lucassen, P. J., & Nolan, Y. M. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.02.001 · Cited by 101 · see citing works
First-year development of modules and hubs in infant brain functional networks
Wen, X., Zhang, H., Li, G., Liu, M., Yin, W., Lin, W., Zhang, J., & Shen, D. G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.019 · Cited by 96 · see citing works
Zimmermann, J., Ritter, P., Shen, K., Rothmeier, S., Schirner, M., & McIntosh, A. R. (2016) · Human Brain Mapping · doi:10.1002/hbm.23200 · Cited by 92 · see citing works
Weighted Stochastic Block Models of the Human Connectome across the Life Span
Faskowitz, J., Yan, X., Zuo, X., & Sporns, O. (2018) · Scientific Reports · doi:10.1038/s41598-018-31202-1 · Cited by 94 · see citing works
Self-citationGeng, S., Liu, X., Biswal, B. B., & Niu, H. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00392 · Cited by 92 · see citing works
Qian, X., Castellanos, F. X., Uddin, L. Q., Loo, B. R. Y., Liu, S., Koh, H. L., Poh, X. W. W., Fung, D. S. S., Guan, C., Lee, T.-S., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.11.010 · Cited by 88 · see citing works
Self-citationReorganization of brain connectivity in obesity
Geha, P., Cecchi, G., Constable, R. T., Abdallah, C. G., & Small, D. M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23462 · Cited by 83 · see citing works
Functional connectomics from a “big data” perspective
Xia, M., & Yong He, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.031 · Cited by 85 · see citing works
Self-citationTracking the dynamic functional connectivity structure of the human brain across the adult lifespan
Xia, Y., Chen, Q., Shi, L., Li, M., Gong, W., Chen, H., & Qiu, J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24385 · Cited by 85 · see citing works
The modular organization of brain cortical connectivity across the human lifespan
Puxeddu, M. G., Faskowitz, J., Betzel, R. F., Petti, M., Laura Astolfi, A., & Sporns, O. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116974 · Cited by 85 · see citing works
Functional network integration and attention skills in young children
Rohr, C. S., Arora, A. K., Cho, I. Y. K., Katlariwala, P., Dimond, D., Dewey, D., & Bray, S. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.007 · Cited by 80 · see citing works
Test-retest reliability of dynamic functional connectivity in resting state fMRI
Zhang, C., Baum, S. A., Adduru, V. R., Biswal, B. B., & Michael, A. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.021 · Cited by 82 · see citing works
Early Functional Connectome Integrity and 1-Year Recovery in Comatose Survivors of Cardiac Arrest
Sair, H. I., Hannawi, Y., Li, S., Kornbluth, J. A., Athena Demertzi, A., Perri, C. D., Chabanne, R., Jean, B., Benali, H., Perlbarg, V., et al. (2017) · Radiology · doi:10.1148/radiol.2017162161 · Cited by 81 · see citing works
van Montfort, S. J. T., van Dellen, E., Stam, C. J., Ahmad, A., Mentink, L. J., Kraan, C. W., Zalesky, A., & Slooter, A. J. C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101809 · Cited by 83 · see citing works
The Hierarchical Structure of the Face Network Revealed by Its Functional Connectivity Pattern
Wang, X., Zhen, Z., Song, Y.-Y., Huang, L.-J., Kong, X.-Z., & Liu, J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2789-15.2016 · Cited by 77 · see citing works
The use of functional and effective connectivity techniques to understand the developing brain
Goldenberg, D., & Galván, A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.011 · Cited by 76 · see citing works
Luo, A. C., Sydnor, V. J., Pines, A. R., Larsen, B., Alexander‐Bloch, A. F., Cieslak, M., Covitz, S. C., Chen, A. A., Esper, N. B., Feczko, E., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47748-w · Cited by 82 · see citing works
Self-citationRudolph, M. D., Miranda-Domínguez, Ó., Cohen, A. O., Breiner, K., Steinberg, L. D., Bonnie, R. J., Scott, E. S., Taylor‐Thompson, K., Chein, J. M., Fettich, K. C., et al. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.01.010 · Cited by 76 · see citing works
Cai, L., Dong, Q., & Niu, H. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.003 · Cited by 76 · see citing works
Self-citationChanges in dynamic functional connections with aging
Tian, L., Li, Q., Wang, C., & Yu, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.040 · Cited by 76 · 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
Teeuw, J., Brouwer, R. M., Guimaraes, J., Brandner, P., Koenis, M. M. G., Swagerman, S. C., Verwoert, M., Boomsma, D. I., & Pol, H. E. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116073 · Cited by 75 · see citing works
Age‐related structural and functional variations in 5,967 individuals across the adult lifespan
Luo, N., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Abrol, A., Lin, D., Chen, J., Vergara, V. M., Fu, Z., Du, Y., Damaraju, E., Xu, Y. J., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24905 · Cited by 74 · see citing works
Iordan, A. D., Cooke, K. A., Moored, K., Katz, B., Buschkuehl, M., Jaeggi, S. M., Jonides, J. J., Peltier, S., Polk, T. A., & Reuter‐Lorenz, P. A. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00419 · Cited by 76 · see citing works
Rich-club in the brain’s macrostructure: Insights from graph theoretical analysis
Kim, D.-J., & Min, B.-K. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.06.039 · Cited by 73 · see citing works
Medaglia, J. D., Satterthwaite, T. D., Kelkar, A., Ciric, R., Moore, T. M., Ruparel, K., Gur, R. C., Gur, R. E., & Bassett, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.048 · Cited by 64 · see citing works
van Bussel, F. C. G., Backes, W. H., van Veenendaal, T. M., Hofman, P. A. M., van Boxtel, M. P. J., Schram, M. T., Sep, S. J. S., Dagnelie, P. C., Schaper, N. C., Stehouwer, C. D. A., et al. (2016) · Diabetes · doi:10.2337/db16-0128 · Cited by 71 · see citing works
Gozdas, E., Parikh, N. A., Merhar, S. L., Tkach, J. A., He, L., & Holland, S. K. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1707-0 · Cited by 67 · see citing works
Diniz, C. R. A. F., & Crestani, A. P. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01931-x · Cited by 67 · see citing works
Wang, J., Dong, Q., & Niu, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-06340-7 · Cited by 66 · see citing works
Self-citationPedersen, R., Geerligs, L., Andersson, M., Gorbach, T., Avelar‐Pereira, B., Wåhlin, A., Rieckmann, A., Nyberg, L. H., & Salami, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118449 · Cited by 68 · see citing works
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Prince, J. B., Davis, H. L., Tan, J., Muller-Townsend, K. L., Markovic, S. J., Lewis, D. M. G., Hastie, B., Thompson, M. B., Drummond, P. D., Fujiyama, H., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105649 · Cited by 68 · see citing works
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Perry, A., Wen, W. X., Lord, A., Thalamuthu, A., Roberts, G. M. P., Mitchell, P. B., Sachdev, P. S., & Breakspear, M. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.009 · Cited by 59 · see citing works
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Morgan, S. E., White, S. R., Bullmore, E. T., & Vértes, P. E. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.003 · Cited by 63 · see citing works
Abellaneda‐Pérez, K., Vaqué‐Alcázar, L., Dídac Vidal-piñeiro, A., Jannati, A., Solana, E., Bargalló, N., Santarnecchi, E., Pascual‐Leone, Á., & David Bartrés-faz, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.036 · Cited by 55 · see citing works
Davis, S. W., Luber, B. M., Murphy, D. L. K., Lisanby, S. H., & Cabeza, R. E. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23803 · Cited by 62 · see citing works
Hu, Z., Liu, G., Dong, Q., & Niu, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00476 · Cited by 60 · see citing works
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Korhonen, O., Zanin, M., & Papo, D. (2021) · Human Brain Mapping · doi:10.1002/hbm.25462 · Cited by 56 · see citing works
Tsang, A., Lebel, C. A., Bray, S., Goodyear, B. G., Hafeez, M., Sotero, R. C., McCreary, C. R., & Frayne, R. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00144 · Cited by 59 · see citing works
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Liu, J., Xia, M., Dai, Z., Wang, X., Liao, X., Bi, Y., & Yong He, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw317 · Cited by 58 · see citing works
Self-citationDifferences between child and adult large‐scale functional brain networks for reading tasks
Liu, X., Gao, Y., Di, Q., Hu, J., Lu, C., Nan, Y., Booth, J. R., & Liu, L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23871 · Cited by 57 · see citing works
Local-to-remote cortical connectivity in early- and adulthood-onset schizophrenia
Jiang, L., Xu, Y., Zhu, X.-T., Yang, Z., Hj, L., & Zuo, X. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.59 · Cited by 55 · see citing works
Self-citationSchizophrenia symptoms and brain network efficiency: A resting-state fMRI study
Su, T.-W., Hsu, T., Lin, Y.-C., & Lin, C. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.09.013 · Cited by 57 · see citing works
Wang, C., Hu, Y., Weng, J., Chen, F., & Liu, H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116334 · Cited by 57 · see citing works
- Authors
- Cao, M., Wang, J.-H., Dai, Z.-J., Cao, X.-Y., Jiang, L.-L., Fan, F.-M., Song, X.-W., Xia, M.-R., Shu, N., Dong, Q., Milham, M. P., Castellanos, F. X., Zuo, X.-N., & He, Y.
- Affiliations
- Beijing Normal University (CN)
- Nathan Kline Institute for Psychiatric Research (US)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Zuo, Xi-Nian
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 7
- Pages
- 76-93
- ISSN
- 1878-9293 (ISSN-L)
- PMC
- PMC6987957
- OpenAlex
- W2093597642
- Cited by
- 440
- References
- 102
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 39 · 2023: 28 · 2022: 33 · 2021: 41 · 2020: 38 · 2019: 51 · 2018: 41 · 2017: 41 · 2016: 32 · 2015: 30 · 2014: 17 · 2012: 1
- FWCI
- 14.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Developmental Cognitive Neuroscience (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Science Foundation (81030028, 31221003, 81171409)
- National Science Fund for Distinguished Young Scholars (81225012)
- Major Joint Fund for International Cooperation and Exchange of the National Natural Science Foundation (81220108014)
- Open Research Fund of the Key Laboratory of Behavioral Science, the Startup Foundation for Distinguished Research Professor (Y0CX492S03)
- Institute of Psychology, the Hundred Talents Program and the Key Research Program (KSZD-EW-TZ-002)
- 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
- lifespan development, network topology, modularity, rich club, local efficiency, brain network hubs, default mode network, dorsal attention network, resting-state fMRI, graph theory
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Aging, Brain, Brain Mapping, Child, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Sex Factors, Connectome
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