Brain networks and cognitive architectures
Open accessAbstract
Most accounts of human cognitive architectures have focused on computational accounts of cognition while making little contact with the study of anatomical structures and physiological processes. A renewed convergence between neurobiology and cognition is well under way. A promising area arises from the overlap between systems/cognitive neuroscience on the one side and the discipline of network science on the other. Neuroscience increasingly adopts network tools and concepts to describe the operation of collections of brain regions. Beyond just providing illustrative metaphors, network science offers a theoretical framework for approaching brain structure and function as a multi-scale system composed of networks of neurons, circuits, nuclei, cortical areas, and systems of areas. This paper views large-scale networks at the level of areas and systems, mostly on the basis of data from human neuroimaging, and how this view of network structure and function has begun to illuminate our understanding of the biological basis of cognitive architectures.
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?
Individual cognitive abilities generally depend on distributed networks rather than one localized region.
“First, most individual cognitive abilities arise not solely from a particular brain area, but from networks of activity spanning multiple distributed regions (Petersen and Sporns, 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Petersen and Sporns, 2015
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
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · 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
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · 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
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173 · see citing works
Self-citationFunctional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
Self-citationConnectionism and cognitive architecture: A critical analysis
Fodor, J. A., & Pylyshyn, Z. W. (1988) · Cognition · doi:10.1016/0010-0277(88)90031-5 · Cited by 4,022 · see citing works
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,412 · see citing works
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · see citing works
Self-citationThe economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284 · see citing works
Self-citationTracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962 · see citing works
Self-citationLarge-scale neurocognitive networks and distributed processing for attention, language, and memory
Mesulam, M. (1990) · Annals of Neurology · doi:10.1002/ana.410280502 · Cited by 2,684 · see citing works
Distinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632 · see citing works
Self-citationA mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612 · 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
Self-citationResting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
Network hubs in the human brain
van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123 · see citing works
Self-citationVan Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844 · see citing works
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786 · see citing works
Churchland, P. S., & Sejnowski, T. J. (1992) · doi:10.7551/mitpress/2010.001.0001 · Cited by 1,757 · see citing works
Networks of the Brain: Quantitative Analysis and Modeling
Sporns, O. (2010) · The MIT Press eBooks · doi:10.7551/mitpress/8476.001.0001 · Cited by 1,750 · see citing works
Self-citationDynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705 · see citing works
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,683 · see citing works
Self-citationTopography Of Cognition: Parallel Distributed Networks In Primate Association Cortex
Goldman‐Rakic, P. S. (1988) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.11.030188.001033 · Cited by 1,662 · see citing works
Intrinsic and task-evoked network architectures of the human brain
Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564 · see citing works
Self-citationThe Foundations of Cognitive Science
(1989) · The MIT Press eBooks · doi:10.7551/mitpress/3072.001.0001 · Cited by 1,453 · see citing works
How Learning to Read Changes the Cortical Networks for Vision and Language
Dehaene, S., Pegado, F., Braga, L. W., Ventura, P., Filho, G. N., Jobert, A., Dehaene‐Lambertz, G., Kolinsky, R., Morais, J., & Cohen, L. (2010) · Science · doi:10.1126/science.1194140 · Cited by 1,277 · see citing works
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · see citing works
Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067 · see citing works
Self-citationSelective changes of resting-state networks in individuals at risk for Alzheimer’s disease
Sorg, C., Riedl, V., Mühlau, M., Calhoun, V. D., Eichele, T., Läer, L., Drzezga, A., Förstl, H., Kurz, A., Zimmer, C., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708803104 · Cited by 1,036 · see citing works
The anatomical basis of functional localization in the cortex
Passingham, R. E., Stephan, K. E., & Kötter, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn893 · Cited by 1,024 · see citing works
Learning sculpts the spontaneous activity of the resting human brain
Lewis, C. M., Baldassarre, A., Committeri, G., Romani, G. L., & Corbetta, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902455106 · Cited by 777 · see citing works
The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones
Damásio, A. R. (1989) · Neural Computation · doi:10.1162/neco.1989.1.1.123 · Cited by 777 · see citing works
Time-resolved resting-state brain networks
Zalesky, A., Fornito, A., Cocchi, L., Gollo, L. L., & Breakspear, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400181111 · Cited by 753 · see citing works
Contributions and challenges for network models in cognitive neuroscience
Sporns, O. (2014) · Nature Neuroscience · doi:10.1038/nn.3690 · Cited by 743 · see citing works
Self-citationGraph analysis of the human connectome: Promise, progress, and pitfalls
Fornito, A., Zalesky, A., & Breakspear, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.087 · Cited by 743 · see citing works
Neuroimaging studies of word reading
Fiez, J. A., & Petersen, S. E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.914 · Cited by 727 · see citing works
Self-citationThomas, C., Ye, F. Q., Irfanoglu, M. O., Modi, P., Saleem, K. S., Leopold, D. A., & Pierpaoli, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405672111 · Cited by 725 · see citing works
The myth of the visual word form area
Price, C. J., & Devlin, J. T. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00084-3 · Cited by 689 · see citing works
Decoupling of the brain's default mode network during deep sleep
Horovitz, S. G., Braun, A. R., Carr, W. S., Picchioni, D., Balkin, T. J., Fukunaga, M., & Duyn, J. H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901435106 · Cited by 685 · see citing works
Kaiser, M., & Hilgetag, C. C. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020095 · Cited by 638 · see citing works
Resting-brain functional connectivity predicted by analytic measures of network communication
Goñi, J., van den Heuvel, M. P., Avena‐Koenigsberger, A., de Mendizábal, N. V., Betzel, R. F., Griffa, A., Hagmann, P., Corominas‐Murtra, B., Thiran, J., & Sporns, O. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315529111 · Cited by 579 · see citing works
Self-citationStructural foundations of resting-state and task-based functional connectivity in the human brain
Hermundstad, A. M., Bassett, D. S., Brown, K., Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Johnson, A., Tipper, C. M., Miller, M. B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219562110 · Cited by 559 · see citing works
Fast transient networks in spontaneous human brain activity
Baker, A. P., Brookes, M. J., Rezek, I. A., Smith, S. M., Behrens, T. E. J., Probert-Smith, P., & Woolrich, M. W. (2014) · eLife · doi:10.7554/elife.01867 · Cited by 555 · see citing works
Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire
Ghosh, A., Rho, Y.-A., McIntosh, A. R., Kötter, R., & Jirsa, V. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000196 · Cited by 550 · see citing works
A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule
Ercsey-Ravasz, M., Markov, N. T., Lamy, C., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.036 · Cited by 487 · see citing works
Objective analysis of the topological organization of the primate cortical visual system
Young, M. P. (1992) · Nature · doi:10.1038/358152a0 · Cited by 466 · see citing works
Haimovici, A., Tagliazucchi, E., Balenzuela, P., & Chialvo, D. R. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.178101 · Cited by 438 · see citing works
On the use of correlation as a measure of network connectivity
Zalesky, A., Fornito, A., & Bullmore, E. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.001 · Cited by 430 · see citing works
Gallos, L. K., Makse, H. A., & Sigman, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106612109 · Cited by 399 · see citing works
General Cortical and Special Prefrontal Connections: Principles from Structure to Function
Barbas, H. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033936 · Cited by 395 · see citing works
The Rich Club of the<i>C. elegans</i>Neuronal Connectome
Towlson, E. K., Vértes, P. E., Ahnert, S. E., Schafer, W. R., & Bullmore, E. T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3784-12.2013 · Cited by 343 · see citing works
Cooperative and competitive spreading dynamics on the human connectome
Mišić, B., Betzel, R. F., Nematzadeh, A., Goñi, J., Griffa, A., Hagmann, P., Flammini, A., Ahn, Y.-Y., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.035 · Cited by 342 · see citing works
Self-citationFoundations of Cognitive Science
Simon, H. A., & Kaplan, C. A. (1989) · The MIT Press eBooks · doi:10.7551/mitpress/3072.003.0003 · Cited by 324 · see citing works
Anatomical connectivity patterns predict face selectivity in the fusiform gyrus
Saygin, Z. M., Osher, D. E., Koldewyn, K., Reynolds, G., Gabrieli, J. D. E., & Saxe, R. R. (2011) · Nature Neuroscience · doi:10.1038/nn.3001 · Cited by 318 · see citing works
Neural connections of the posteromedial cortex in the macaque
Parvizi, J., Hoesen, G. W. V., Buckwalter, J. A., V, & Damásio, A. R. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507729103 · Cited by 313 · see citing works
Resting State Networks and Consciousness
Heine, L., Soddu, A., Gómez, F., Vanhaudenhuyse, A., Tshibanda, L., Thonnard, M., Charland-Verville, V., Kirsch, M., Laureys, S., & Demertzi, A. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00295 · Cited by 272 · see citing works
Abdelnour, F., Voss, H. U., & Raj, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.039 · Cited by 260 · see citing works
Evaluation and statistical inference for human connectomes
Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A. (2014) · Nature Methods · doi:10.1038/nmeth.3098 · Cited by 259 · see citing works
Studying Brain Organization via Spontaneous fMRI Signal
Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.007 · Cited by 250 · see citing works
Self-citationArchitecture of the cerebral cortical association connectome underlying cognition
Bota, M., Sporns, O., & Swanson, L. W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504394112 · Cited by 231 · see citing works
Self-citationDifferential effects of reasoning and speed training in children.
Mackey, A. P., Hill, S. S., Stone, S., & Bunge, S. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2010.01005.x · Cited by 231 · see citing works
A diffusion MRI tractography connectome of the mouse brain and comparison with neuronal tracer data
Calabrese, E., Badea, A., Cofer, G., Qi, Y., & Johnson, G. A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv121 · Cited by 221 · see citing works
Wiring cost and topological participation of the mouse brain connectome
Rubinov, M., Ypma, R. J. F., Watson, C., & Bullmore, E. T. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420315112 · Cited by 219 · see citing works
The role of long-range connections on the specificity of the macaque interareal cortical network
Markov, N. T., Ercsey-Ravasz, M., Lamy, C., Gomes, A. R. R., Magrou, L., Misery, P., Giroud, P., Barone, P., Dehay, C., Toroczkai, Z., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1218972110 · Cited by 217 · see citing works
Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., & Miyashita, Y. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr234 · Cited by 211 · see citing works
Self-citationConnectomics-Based Analysis of Information Flow in the Drosophila Brain
Shih, C.-T., Sporns, O., Yuan, S.-L., Su, T.-S., Lin, Y.-J., Chuang, C.-C., Wang, T.-Y., Lo, C.-C., Greenspan, R. J., & Chiang, A.-S. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.021 · Cited by 200 · see citing works
Self-citationDwelling quietly in the rich club: brain network determinants of slow cortical fluctuations
Gollo, L. L., Zalesky, A., Hutchison, R. M., van den Heuvel, M. P., & Breakspear, M. J. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0165 · Cited by 184 · see citing works
Gomez, J., Pestilli, F., Witthoft, N., Golarai, G., Liberman, A., Poltoratski, S., Yoon, J. M. D., & Kalanit Grill-spector, A. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.027 · Cited by 181 · see citing works
Perception and self-organized instability
Friston, K. J., Breakspear, M. J., & Deco, G. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00044 · Cited by 181 · see citing works
Dynamic functional connectivity
Ioannides, A. A. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.03.008 · Cited by 152 · see citing works
Modulation of the brain’s functional network architecture in the transition from wake to sleep
Larson‐Prior, L. J., Power, J. D., Vincent, J. L., Nolan, T. S., Coalson, R. S., Zempel, J. M., Snyder, A. Z., Schlaggar, B. L., Raichle, M. E., & Petersen, S. E. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00018-1 · Cited by 135 · see citing works
Self-citationEEG functional connectivity is partially predicted by underlying white matter connectivity
Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.033 · Cited by 135 · see citing works
Brain Network Adaptability across Task States
Davison, E. N., Schlesinger, K. J., Bassett, D. S., Lynall, M.-E., Miller, M. B., Grafton, S. T., & Carlson, J. M. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004029 · Cited by 127 · see citing works
The Neural Basis of Time-Varying Resting-State Functional Connectivity
Keilholz, S. D. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0250 · Cited by 119 · see citing works
Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings
Kramer, M., Eden, U. T., Lepage, K. Q., Kolaczyk, E. D., Bianchi, M. T., & Cash, S. S. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2287-11.2011 · Cited by 118 · see citing works
Nonlinear phase desynchronization in human electroencephalographic data
Breakspear, M. J. (2002) · Human Brain Mapping · doi:10.1002/hbm.10011 · Cited by 117 · see citing works
The Statistical Neuroanatomy of Frontal Networks in the Macaque
Averbeck, B. B., & Seo, M. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000050 · Cited by 112 · see citing works
Avena‐Koenigsberger, A., Goñi, J., Solé, R. V., & Sporns, O. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0881 · Cited by 94 · see citing works
Self-citationFunctional 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
Self-citationThe Left Occipitotemporal Cortex Does Not Show Preferential Activity for Words
Vogel, A. C., Petersen, S. E., & Schlaggar, B. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr295 · Cited by 82 · see citing works
Self-citationPerfetti, C. A., & Bolger, D. J. (2004) · Scientific Studies of Reading · doi:10.1207/s1532799xssr0803_7 · Cited by 54 · see citing works
Multimodal Imaging of Dynamic Functional Connectivity
Tagliazucchi, E., & Laufs, H. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00010 · Cited by 52 · see citing works
Chen, H., Liu, T., Zhao, Y., Zhang, T., Li, Y., Li, M., Zhang, H., Kuang, H., Guo, L., Tsien, J. Z., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.050 · Cited by 46 · see citing works
McAvoy, M. P., Larson‐Prior, L. J., Ludwikow, M., Zhang, D., Snyder, A. Z., Gusnard, D. L., Raichle, M. E., & d’Avossa, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00900.2011 · Cited by 31 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Sporns O Networks of the brain 2011 MIT Press Cambridge, Mass
Cited by
Sorted by citations
Emotion and the prefrontal cortex: an integrative review
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017) · Psychological Bulletin · doi:10.1037/bul0000096 · Cited by 745 · see citing works
Environmental influences on the pace of brain development
Tooley, U. A., Bassett, D. S., & Mackey, A. P. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00457-5 · Cited by 488 · 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
A Conceptual Introduction to Bayesian Model Averaging
Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919898657 · Cited by 318 · see citing works
Neuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303 · see citing works
A Synergistic Core for Human Brain Evolution and Cognition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Holland, N., Fryer, T. D., O’Brien, J. T., Rowe, J. B., Menon, D. K., Bor, D., & Stamatakis, E. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01070-0 · Cited by 314 · see citing works
Sarubbo, S., Tate, M., De Benedictis, A., Merler, S., Moritz-Gasser, S., Herbet, G., & Duffau, H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116237 · Cited by 206 · see citing works
Reconfiguration of Cortical Networks in MDD Uncovered by Multiscale Community Detection with fMRI
He, Y., Lim, S., Fortunato, S., Sporns, O., Zhang, L., Qiu, J., Xie, P., & Zuo, X.-N. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx335 · Cited by 54 · see citing works
Self-citationWhat Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
Magrath Guimet, N., Miller, B. L., Allegri, R. F., & Rankin, K. P. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.707799 · Cited by 38 · see citing works
Explanation of emotion regulation mechanism of mindfulness using a brain function model
Nakamura, H., Tawatsuji, Y., Fang, S., & Matsui, T. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.01.029 · Cited by 29 · see citing works
Networks of Networks: An Essay on Multi-Level Biological Organization
Uversky, V. N., & Giuliani, A. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.706260 · Cited by 28 · see citing works
Hart, M. G., Romero-Garcia, R., Price, S. J., Santarius, T., & Suckling, J. (2020) · World Neurosurgery · doi:10.1016/j.wneu.2020.03.116 · Cited by 7 · see citing works
Lacalli, T. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1648930 · Cited by 1 · see citing works
Lacalli, T. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1829430
“…intuition, that consciousness operates globally, but also the consensus view, that it is an integrative construct that arises from the activity of highly interconnected cortical networks responsive to conscious signals (Varela et al., 2001; Sauseng and Klimesch, 2008; Petersen and Sporns, 2015).”
- Authors
- Petersen, S. E., & Sporns, O.
- Affiliations
- Washington University in St. Louis (US)
- Indiana University Bloomington (US)
- Corresponding author
- Petersen, Steven E.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 88
- Issue
- 1
- Pages
- 207-219
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4598639
- OpenAlex
- W1940423692
- Cited by
- 553
- References
- 94
- Citations by year
- 2026: 40 · 2025: 61 · 2024: 59 · 2023: 54 · 2022: 43 · 2021: 71 · 2020: 61 · 2019: 55 · 2018: 46 · 2017: 37 · 2016: 23 · 2015: 3
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R01NS046424, R21NS061144)
- National Center for Complementary and Integrative Health (R01AT009036)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD087011)
- 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
- brain networks, cognitive architecture, network science, systems neuroscience, large-scale brain networks, neuroimaging, biological basis of cognition, neural circuits
- MeSH terms
- Cognitive Neuroscience, Animals, Brain, Cognition, Humans, Nerve Net, Neural Pathways, Neurons, Neuroimaging
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
