Functional Network Organization of the Human Brain
Open accessAbstract
Real-world complex systems may be mathematically modeled as graphs, revealing properties of the system. Here we study graphs of functional brain organization in healthy adults using resting state functional connectivity MRI. We propose two novel brain-wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships. These graphs contain many subgraphs in good agreement with known functional brain systems. Other subgraphs lack established functional identities; we suggest possible functional characteristics for these subgraphs. Further, graph measures of the areal network indicate that the default mode subgraph shares network properties with sensory and motor subgraphs: it is internally integrated but isolated from other subgraphs, much like a "processing" system. The modified voxelwise graph also reveals spatial motifs in the patterning of systems across the cortex.
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The modeling remains far from experimental implementation because of challenges in experimentally realizing mappings for the brain's neuronal networks.
“We acknowledge the challenges in experimentally realizing such mappings for the brain's neuronal networks (see, e.g., Power et al., 2011), and thus, our modeling remains far from experimental implementation.”
From Coupling quantum-like cognition with the neuronal networks within generalized probability theory (2025) · cites this paper as Power et al., 2011
The Introduction (page unavailable) describes difficulty identifying the nodes of human functional brain networks, and the Discussion’s Limitations section details constraints on mapping functional areas with fMRI. These passages support the cited point that brain-network mapping is challenging, but they concern macroscopic functional networks, not experimental realization of mappings for neuronal networks. The statement that the citing authors’ own model remains far from implementation is their conclusion, not a finding attributed to Power et al. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAlthough the topography of distributed networks has been described, the reason for their particular spatial relationship and how this constrains their function remains unclear.
“Although the topography of these distinct distributed networks has been described using multiple methods [e.g., 1-3], the reason for their particular spatial relationship and how this constrains their function remains unclear.”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [3]
Recent advances in human connectomics have revealed multiple large-scale networks, each characterized by distinct functional profiles.
“Recent advances in the field of human connectomics have revealed multiple large-scale networks [e.g., 1-3], each characterized by distinct functional profiles [4].”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [3]
Resting-state networks are highly reproducible in the adult brain.
“RSNs have proven to be highly reproducible in the adult brain (Doucet et al., 2011; Gordon et al., 2016; Power et al., 2011; Yeo et al., 2011)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
Adult brains show several coarse modules that remain highly consistent across studies despite small methodological variations.
“The adult brain has several modules at the coarsest level that are remarkably reproducible despite slight methodological differences across studies (Doucet et al., 2011; Gordon et al., 2016; Power et al., 2011; Yeo et al., 2011).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
Adult task-positive cognition involves three large distributed modules: dorsal attention, cingulo-opercular salience, and frontoparietal executive.
“3) three large, distributed modules for task-positive cognition: a) dorsal attention, involved in eye movements and attentional orienting, b) the cingulo-opercular salience module, involved primarily in attentional maintenance, and c) the frontoparietal executive module, important for task-switching.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
Adult modular organization includes separate sensory/motor systems and the default-mode network.
“These modules include 1) segregated, non-distributed modules for sensory/motor activity, such as in early visual cortex and in somatomotor cortex, 2) the default-mode network (DMN), comprising the medial prefrontal, posterior cingulate/precuneus, angular gyrus, and medial temporal cortex”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
With age, regions gradually became more defined by their respective functional roles.
“With age, regions gradually became more defined by their respective functional roles (Power et al., 2011; Power et al., 2010).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
In childhood, regional modular assignments appeared to strongly depend on local anatomy.
“In childhood, regional assignments appeared to strongly depend on local anatomy.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
Regions or parcels that are overly large may encompass multiple distinct functional areas in ways that make community/network organization non-recognizable.
“regions or parcels that are overly large may encompass multiple distinct functional areas in ways that make community/network organization non-recognizable (Power et al., 2011).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
With functional connectivity data, some parcellation schemes can obscure known community structure.
“with functional connectivity data some parcellation schemes can obscure known community structure.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Power et al., 2011
The V1/V2 connectivity pattern fits evidence for a major mid-eccentricity transition and implies that functional connectivity network boundaries do not always respect classical areal boundaries.
“This fits with evidence for a major transition in functional connectivity that cuts across both V1 and V2 in their mid-eccentricity range (Yeo et al., 2011); it implies that network (parcel) boundaries defined by functional connectivity do not always respect classical areal boundaries”
From The WU-Minn Human Connectome Project: An overview (2013) · cites this paper as Power et al., 2011
The patterns of brain-behavior relationships were also detectable when using a brain functional network structure derived from a previously published independent fcMRI data set of typical adults.
“These patterns were also detectable when using a brain functional network structure derived from a previously published independent fcMRI data set of typical adults (Power et al. 2011) (Supplementary Figs 1C and 3).”
From Joint attention and brain functional connectivity in infants and toddlers (2017) · cites this paper as Power et al. 2011
The parietal module contains a large portion of higher-order association areas classified as part of the visual system in Power et al.; 85% of nodes in our parietal module were assigned to Power et al.'s visual module.
“we observe that the module that we have referred to as the “parietal module” contains a large portion of higher-order association areas that were classified as part of the visual system in Power et al. (36) (i.e., 85% of nodes in our parietal module were assigned to Power et al.’s “visual module”)”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [36]
The segregation of network modules observed in this data is much more pronounced than that observed in resting-state functional connectivity matrices.
“The segregation of network modules observed in this data is much more pronounced than that observed in resting-state functional connectivity matrices (23, 36, 37).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [36]
The identified network modules map well to biologically meaningful systems of intrinsic connectivity and specifically systems commonly engaged during working-memory performance.
“The identified network modules map well to biologically meaningful systems of intrinsic connectivity (36) and specifically systems commonly engaged during working-memory performance (14, 38, 39)”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [36]
The 50 ROIs not adopted were labelled 'Uncertain' or 'Subcortical' and did not constitute specific cortical networks.
“The other 50 ROIs were not adopted here because they were labelled ‘Uncertain’ or ‘Subcortical’ and did not constitute specific cortical networks.”
From Brain network dynamics in high-functioning individuals with autism (2017) · cites this paper as [30]
The dorsal/ventral attention networks and cingulo-opercular network are responsible for similar attention-related cognitive activity.
“these three networks are considered to be responsible for the similar attention-related cognitive activity30.”
From Brain network dynamics in high-functioning individuals with autism (2017) · cites this paper as [30]
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Cites
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
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
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
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · 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
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070 · cited 1× · see citing works
“Processing at the input and output stages is thought to be relatively modular (not strictly in the graph theoretic sense), whereas cognitive control mechanisms must flexibly adapt processing to awide range of task sets (Posner and Petersen, 1990).”
BackgroundSelf-citationPower, 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
Self-citationDissociable 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
Newman, M. (2010) · doi:10.1093/acprof:oso/9780199206650.001.0001 · Cited by 6,595 · 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
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
Maps of random walks on complex networks reveal community structure
Rosvall, M., & Bergstrom, C. T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706851105 · Cited by 4,583 · see citing works
Attention to Action: Willed and Automatic Control of Behavior
Norman, D. A., & Shallice, T. (1986) · Consciousness and Self-Regulation · doi:10.1007/978-1-4757-0629-1_1 · Cited by 4,455 · see citing works
PENFIELD, W., & BOLDREY, E. (1937) · Brain · doi:10.1093/brain/60.4.389 · Cited by 4,188 · see citing works
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889 · see citing works
Controllability of complex networks
Liu, Y., Slotine, J.-J. E., & Barabási, A.-Ĺ. (2011) · Nature · doi:10.1038/nature10011 · Cited by 3,238 · see citing works
Esmark, K., Orning, H. J., & Hermanson, L. (2011) · Choice Reviews Online · doi:10.5860/choice.48-3328 · Cited by 2,950 · see citing works
Buckner, 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
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-citationPositron emission tomographic studies of the cortical anatomy of single-word processing
Petersen, S. E., Fox, P. T., Posner, M. I., Mintun, M., & Raichle, M. E. (1988) · Nature · doi:10.1038/331585a0 · Cited by 2,593 · see citing works
Self-citationNeurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · 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
Self-citationCommunity detection algorithms: A comparative analysis
Lancichinetti, A., & Fortunato, S. (2009) · Physical Review E · doi:10.1103/physreve.80.056117 · Cited by 2,181 · see citing works
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101 · see citing works
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890 · see citing works
Self-citationNetwork 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
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
Guimerà, R., Mossa, S., Turtschi, A., & Amaral, L. A. N. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407994102 · Cited by 1,772 · see citing works
A Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772 · see citing works
Self-citationLocalization of Cognitive Operations in the Human Brain
Posner, M. I., Petersen, S. E., Fox, P. T., & Raichle, M. E. (1988) · Science · doi:10.1126/science.3289116 · Cited by 1,429 · see citing works
Self-citationFunctional connectivity in single and multislice echoplanar imaging using resting-state fluctuations
Lowe, M. J., Mock, B. J., & Sorenson, J. A. (1998) · NeuroImage · doi:10.1006/nimg.1997.0315 · Cited by 1,394 · see citing works
Consciousness and Self-Regulation
SCHWARTZ, G. E. R., & Shapiro, D. L. (1978) · Springer eBooks · doi:10.1007/978-1-4684-2571-0 · Cited by 1,370 · see citing works
Localization of a human system for sustained attention by positron emission tomography
Pardo, J. V., Fox, P. T., & Raichle, M. E. (1991) · Nature · doi:10.1038/349061a0 · Cited by 1,284 · see citing works
Whole-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
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex
Essen, D. C. V., Drury, H. A., Dickson, J., Harwell, J., Hanlon, D., & Anderson, C. H. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080443 · Cited by 1,100 · see citing works
Is the rostro-caudal axis of the frontal lobe hierarchical?
Badre, D., & D'Esposito, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2667 · Cited by 946 · see citing works
Weight-conserving characterization of complex functional brain networks
Rubinov, M., & Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.069 · Cited by 871 · see citing works
Attention to Action: Willed and Automatic Control of Behavior.
Norman, D. A., & Shallice, T. (1980) · Defense Technical Information Center (DTIC) · 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
The development of human functional brain networks
Power, J. D., Fair, D. A., Schlaggar, B. L., & Petersen, S. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.017 · Cited by 751 · see citing works
Self-citationComparison of multi‐subject ICA methods for analysis of fMRI data
Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adalı, T., & Calhoun, V. D. (2010) · Human Brain Mapping · doi:10.1002/hbm.21170 · Cited by 724 · see citing works
van 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
Superior Parietal Cortex Activation During Spatial Attention Shifts and Visual Feature Conjunction
Corbetta, M., Shulman, G. L., Miezin, F. M., & Petersen, S. E. (1995) · Science · doi:10.1126/science.270.5237.802 · Cited by 702 · see citing works
Self-citationHierarchical 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
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong He, A., Wang, J., Wang, L. Y., Chen, Z. J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005226 · Cited by 619 · see citing works
Consciousness and Self-Regulation
Davidson, R. J., SCHWARTZ, G. E. R., & Shapiro, D. L. (1986) · Springer eBooks · doi:10.1007/978-1-4757-0629-1 · Cited by 589 · see citing works
Defining functional areas in individual human brains using resting functional connectivity MRI
Cohen, A. L., Fair, D. A., Dosenbach, N. U. F., Miezin, F. M., Dierker, D., Van Essen, D. C., Schlaggar, B. L., & Petersen, S. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.066 · Cited by 582 · 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
The functional architecture of the infant brain as revealed by resting-state fMRI
Fransson, P., Åden, U., Blennow, M., & Lagercrantz, H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq071 · Cited by 542 · see citing works
Shulman, G. L., Pope, D. L. W., Astafiev, S. V., McAvoy, M. P., Snyder, A. Z., & Corbetta, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4085-09.2010 · Cited by 536 · see citing works
The colour centre in the cerebral cortex of man
Lueck, C. J., Zeki, S., Friston, K. J., Deiber, M., Cope, P., Cunningham, V. J., Lammertsma, A. A., Christopher Kennard, C., & Frackowiak, R. S. J. (1989) · Nature · doi:10.1038/340386a0 · Cited by 458 · 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 439 · see citing works
Role of the anterior insula in task-level control and focal attention
Nelson, S. M., Dosenbach, N. U. F., Cohen, A. L., Wheeler, M. E., Schlaggar, B. L., & Petersen, S. E. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0260-2 · Cited by 435 · see citing works
Self-citationCommunity detection in networks with positive and negative links
Traag, V., & Bruggeman, J. (2009) · Physical Review E · doi:10.1103/physreve.80.036115 · Cited by 435 · see citing works
Motor Control by Sensory Cortex
Mátyás, F., Sreenivasan, V., Marbach, F., Wacongne, C., Barsy, B., Matéo, C., Aronoff, R., & Petersen, C. (2010) · Science · doi:10.1126/science.1195797 · Cited by 377 · 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
Tian, L., Wang, J., Yan, C., & Yong He, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.066 · Cited by 367 · see citing works
A Parcellation Scheme for Human Left Lateral Parietal Cortex
Nelson, S. M., Cohen, A. L., Power, J. D., Wig, G. S., Miezin, F. M., Wheeler, M. E., Velanova, K., Donaldson, D. I., Phillips, J. S., Schlaggar, B. L., et al. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.025 · Cited by 348 · see citing works
Self-citationConcepts and principles in the analysis of brain networks
Wig, G. S., Schlaggar, B. L., & Petersen, S. E. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05947.x · Cited by 280 · see citing works
Self-citationChurch, J. A., Fair, D. A., Dosenbach, N. U. F., Cohen, A. L., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2009) · Brain · doi:10.1093/brain/awn223 · Cited by 278 · see citing works
Self-citationDevelopment of a large-scale functional brain network during human non-rapid eye movement sleep
Spoormaker, V. I., Schröter, M. S., Gleiser, P. M., Andrade, K. C., Dresler, M., Wehrle, R., Sämann, P. G., & Czisch, M. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2015-10.2010 · Cited by 273 · see citing works
The What and How of prefrontal cortical organization
O’Reilly, R. C. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.05.002 · Cited by 271 · see citing works
Devlin, J. T., & Poldrack, R. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.055 · Cited by 195 · see citing works
The Art and Science of Dynamic Network Visualization.
Bender‐deMoll, S., & McFarland, D. A. (2006) · Cited by 162 · see citing works
Hartman, D. G., Hlinka, J., Paluš, M., Mantini, D., & Corbetta, M. (2011) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3553181 · Cited by 52 · see citing works
Multiple parietal operculum subdivisions in humans: Tactile activation maps
Burton, H., Sinclair, R. J., Wingert, J. R., & Dierker, D. L. (2008) · Somatosensory & Motor Research · doi:10.1080/08990220802249275 · Cited by 51 · see citing works
Parcellation in Left Lateral Parietal Cortex Is Similar in Adults and Children
Barnes, K. A., Nelson, S. M., Cohen, A. L., Power, J. D., Coalson, R. S., Miezin, F. M., Vogel, A. C., Dubis, J. W., Church, J. A., Petersen, S. E., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr189 · Cited by 37 · see citing works
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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
Self-citationThe 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
The WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Self-citationLocal-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-citationThe attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
Self-citationDynamic 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
Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747 · see citing works
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398 · see citing works
Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321 · see citing works
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170 · 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
Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102 · see citing works
Salience processing and insular cortical function and dysfunction
Uddin, L. Q. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3857 · Cited by 2,083 · see citing works
Satterthwaite, T., Elliott, M., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M., Eickhoff, S., Hakonarson, H., Gur, R., Gur, R. E., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.052 · Cited by 1,900 · see citing works
Friedman, N. P., & Miyake, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.04.023 · Cited by 1,834 · see citing works
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works
Self-citationIntrinsic 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-citationVan Dam, N. T., van Vugt, M. K., Vago, D. R., Schmalzl, L., Saron, C. D., Olendzki, A., Meissner, T., Lazar, S. W., Kerr, C. E., Gorchov, J., et al. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617709589 · Cited by 1,506 · see citing works
Generation and evaluation of a cortical area parcellation from resting-state correlations
Gordon, E. M., Laumann, T. O., Adeyemo, B., Huckins, J. F., Kelley, W. M., & Petersen, S. E. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu239 · Cited by 1,463 · see citing works
Self-citationGRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Wang, J., Wang, X., Xia, M., Liao, X., Evans, A. C., & Yong He, A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00386 · Cited by 1,429 · see citing works
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426 · see citing works
“…adjust its internal model to the conditions of the sensory periphery, again in the service of allostasis (e.g. see Figure 6) This is consistent with the salience network’s role in attention regulation; e.g. ( Power et al ., 2011; Touroutoglou et al. , 2012; Ullsperger et al. , 2014; Uddin, 2015).”
Identification of a Common Neurobiological Substrate for Mental Illness
Goodkind, M., Eickhoff, S. B., Oathes, D. J., Jiang, Y., Chang, A., Jones-Hagata, L. B., Ortega, B. N., Zaiko, Y. V., Roach, E. L., Korgaonkar, M. S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2206 · Cited by 1,404 · see citing works
Mind-wandering as spontaneous thought: a dynamic framework
Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-Hanna, J. R. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.113 · Cited by 1,376 · see citing works
Precision Functional Mapping of Individual Human Brains
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.011 · Cited by 1,335 · see citing works
Self-citationSporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334 · see citing works
Resting-State fMRI: A Review of Methods and Clinical Applications
Lee, M. H., Smyser, C. D., & Shimony, J. S. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3263 · Cited by 1,127 · see citing works
Large-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113 · see citing works
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen, X.-L., Finn, E., Scheinost, D., Rosenberg, M., Chun, M. M., Papademetris, X., & Constable, R. T. (2017) · Nature Protocols · doi:10.1038/nprot.2016.178 · Cited by 1,088 · see citing works
The Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090 · 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
The brain’s default network: updated anatomy, physiology and evolving insights
Buckner, R. L., & DiNicola, L. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0212-7 · Cited by 1,058 · see citing works
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042 · see citing works
Self-citationBroad domain generality in focal regions of frontal and parietal cortex
Fedorenko, E., Duncan, J., & Kanwisher, N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315235110 · Cited by 952 · see citing works
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 950 · see citing works
“…to adjust its internal model to the conditions of the sensory periphery, again in the service of allostasis (e.g. see Figure 6) This is consistent with the salience network’s role in attention regulation; e.g. (Power et al., 2011; Touroutoglou et al., 2012; Ullsperger et al., 2014; Uddin, 2015).”
Structure and function of complex brain networks
Sporns, O. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/osporns · Cited by 931 · see citing works
20 years of the default mode network: A review and synthesis.
Menon, V. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.023 · Cited by 934 · see citing works
Beissner, F., Meissner, K., Bar, K.-J., & Napadow, V. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1103-13.2013 · Cited by 920 · see citing works
Opportunities and limitations of intrinsic functional connectivity MRI
Buckner, R. L., Krienen, F. M., & Yeo, B. T. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3423 · Cited by 912 · see citing works
Controllability 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
Functional system and areal organization of a highly sampled individual human brain
Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.037 · Cited by 911 · see citing works
Self-citationChildhood Adversity and Neural Development: A Systematic Review
McLaughlin, K. A., Weissman, D., & Bitrán, D. (2019) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-084950 · Cited by 892 · see citing works
The genetic architecture of the human cerebral cortex
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., et al. (2020) · Science · doi:10.1126/science.aay6690 · Cited by 876 · see citing works
Decreased 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
Self-citationGratton, C., Laumann, T. O., Nielsen, A. N., Greene, D. J., Gordon, E. M., Gilmore, A. W., Nelson, S. M., Coalson, R. S., Snyder, A. Z., Schlaggar, B. L., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.035 · Cited by 846 · see citing works
Self-citationThe Salience Network: A Neural System for Perceiving and Responding to Homeostatic Demands
Seeley, W. W. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1138-17.2019 · Cited by 845 · see citing works
Diaschisis: past, present, future
Carrera, E., & Tononi, G. (2014) · Brain · doi:10.1093/brain/awu101 · Cited by 824 · see citing works
The evolution of distributed association networks in the human brain
Buckner, R. L., & Krienen, F. M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.017 · Cited by 836 · see citing works
Marek, S., & Dosenbach, N. U. F. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/smarek · Cited by 836 · see citing works
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812 · 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
Parkes, L., Fulcher, B., Yücel, M., & Fornito, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.073 · Cited by 783 · see citing works
Dynamic reconfiguration of frontal brain networks during executive cognition in humans
Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791 · see citing works
Linking Structure and Function in Macroscale Brain Networks
Suárez, L. E., Markello, R. D., Betzel, R. F., & Mišić, B. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.008 · Cited by 745 · see citing works
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition
Cohen, J. R., & D’Esposito, M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2965-15.2016 · Cited by 767 · 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
The organization of the human striatum estimated by intrinsic functional connectivity
Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00270.2012 · Cited by 746 · see citing works
Graph 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
Sydnor, V. J., Larsen, B., Bassett, D. S., Alexander‐Bloch, A. F., Fair, D. A., Liston, C. M., Mackey, A. P., Milham, M. P., Pines, A. R., Roalf, D. R., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.016 · Cited by 725 · see citing works
A Brain-Wide Study of Age-Related Changes in Functional Connectivity
Geerligs, L., Renken, R. J., Saliasi, E., Maurits, N. M., & Lorist, M. M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu012 · Cited by 729 · 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
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
Self-citationTowards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683 · see citing works
Homological scaffolds of brain functional networks
Petri, G., Expert, P., Turkheimer, F., Carhart-Harris, R., Nutt, D., Hellyer, P. J., & Vaccarino, F. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0873 · Cited by 675 · see citing works
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668 · see citing works
Rethinking segregation and integration: contributions of whole-brain modelling
Deco, G., Tononi, G., Boly, M., & Kringelbach, M. L. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3963 · Cited by 658 · see citing works
Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke
Siegel, J. S., Ramsey, L. E., Snyder, A. Z., Metcalf, N. V., Chacko, R. V., Weinberger, K., Baldassarre, A., Hacker, C. D., Shulman, G. L., & Corbetta, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521083113 · Cited by 656 · see citing works
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654 · see citing works
Graph theory methods: applications in brain networks
Sporns, O. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/osporns · Cited by 643 · see citing works
Precision psychiatry: a neural circuit taxonomy for depression and anxiety
Williams, L. M. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00579-9 · Cited by 641 · see citing works
Evidence for a large-scale brain system supporting allostasis and interoception in humans
Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641 · see citing works
McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16040400 · Cited by 635 · see citing works
“Whole brain graph theoretical approaches have similarly revealed this distinction, leading to speculation that the more anterior cingulate subnetwork is more characteristic of the saliencenetwork,whereas themore posterior cingulate subnetwork is more representative of a cingulo-opercular task control network (38).”
BackgroundThe Human Thalamus Is an Integrative Hub for Functional Brain Networks
Hwang, K., Bertolero, M. A., Liu, W. B., & D’Esposito, M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0067-17.2017 · Cited by 634 · see citing works
Promises and limitations of human intracranial electroencephalography
Parvizi, J., & Kastner, S. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0108-2 · Cited by 631 · see citing works
Reworking the language network
Fedorenko, E., & Thompson-Schill, S. L. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.006 · Cited by 615 · see citing works
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · see citing works
Braga, R. M., & Buckner, R. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.038 · Cited by 588 · see citing works
Learning-induced autonomy of sensorimotor systems
Bassett, D. S., Yang, M., Wymbs, N. F., & Grafton, S. T. (2015) · Nature Neuroscience · doi:10.1038/nn.3993 · Cited by 603 · see citing works
A somato-cognitive action network alternates with effector regions in motor cortex
Gordon, E. M., Chauvin, R. J., Van, A. N., Rajesh, A., Nielsen, A. N., Newbold, D. J., Lynch, C. J., Seider, N. A., Krimmel, S. R., Scheidter, K. M., et al. (2023) · Nature · doi:10.1038/s41586-023-05964-2 · Cited by 625 · see citing works
Self-citationMapping distributed brain function and networks with diffuse optical tomography
Eggebrecht, A. T., Ferradal, S. L., Robichaux‐Viehoever, A., Hassanpour, M. S., Dehghani, H., Snyder, A. Z., Hershey, T. G., & Culver, J. P. (2014) · Nature Photonics · doi:10.1038/nphoton.2014.107 · Cited by 602 · see citing works
Mapping the human brain's cortical-subcortical functional network organization
Ji, J. L., Spronk, M., Kulkarni, K. R., Repovš, G., Anticevic, A., & Cole, M. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.006 · Cited by 596 · see citing works
Dixon, M. L., De La Vega, A., Mills, C., Andrews-Hanna, J., Spreng, R. N., Cole, M. W., & Christoff, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715766115 · Cited by 595 · see citing works
Kong, R., Li, J., Orbán, C., Sabuncu, M. R., Liu, H., Schaefer, A., Sun, N., Zuo, X., Holmes, A. J., Eickhoff, S. B., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy123 · Cited by 581 · see citing works
Betzel, R. F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.006 · Cited by 587 · see citing works
Functional network dysfunction in anxiety and anxiety disorders
Sylvester, C. M., Corbetta, M., Raichle, M. E., Rodebaugh, T. L., Schlaggar, B. L., Sheline, Y. I., Zorumski, C. F., & Lenze, E. J. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.012 · Cited by 579 · see citing works
Self-citationResting-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
The modular and integrative functional architecture of the human brain
Bertolero, M. A., Yeo, B. T. T., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510619112 · Cited by 552 · see citing works
Causal interactions between fronto-parietal central executive and default-mode networks in humans
Chen, A. C., Oathes, D. J., Chang, C. E., Bradley, T., Zhou, Z.-W., Williams, L. M., Glover, G. H., Deisseroth, K. A., & Etkin, A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311772110 · Cited by 561 · 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
Sources and implications of whole-brain fMRI signals in humans
Power, J. D., Plitt, M. H., Laumann, T. O., & Martin, A. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.038 · Cited by 534 · see citing works
Self-citationAn active inference theory of allostasis and interoception in depression
Barrett, L. F., Quigley, K. S., & Hamilton, P. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0011 · Cited by 554 · see citing works
Brain networks and cognitive architectures
Petersen, S. E., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.027 · Cited by 553 · see citing works
Self-citationBrain hyperconnectivity in children with autism and its links to social deficits
Supekar, K., Uddin, L. Q., Khouzam, A., Phillips, J., Gaillard, W. D., Kenworthy, L. E., Yerys, B. E., Vaidya, C. J., & Menon, V. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.001 · Cited by 538 · see citing works
Parcellating cortical functional networks in individuals
Wang, D., Buckner, R. L., Fox, M. D., Holt, D. J., Holmes, A. J., Stoecklein, S., Langs, G., Pan, R., Qian, T., Li, K., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4164 · Cited by 527 · see citing works
On the stability of BOLD fMRI correlations
Laumann, T. O., Snyder, A. Z., Mitra, A., Gordon, E. M., Gratton, C., Adeyemo, B., Gilmore, A. W., Nelson, S. M., Berg, J. J., Greene, D. J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw265 · Cited by 516 · see citing works
Self-citationJohnson, M. W., Hendricks, P. S., Barrett, F. S., & Griffiths, R. R. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.11.010 · Cited by 506 · see citing works
Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness
Anticevic, A., Cole, M. W., Repovš, G., Murray, J. D., Brumbaugh, M. S., Winkler, A. M., Savić, A., Krystal, J. H., Pearlson, G. D., & Glahn, D. C. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht165 · Cited by 494 · see citing works
Activity flow over resting-state networks shapes cognitive task activations
Cole, M. W., Ito, T., Bassett, D. S., & Schultz, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4406 · Cited by 486 · see citing works
Imaging-based parcellations of the human brain
Eickhoff, S. B., Yeo, B. T. T., & Genon, S. (2018) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0071-7 · Cited by 484 · see citing works
Distinct Global Brain Dynamics and Spatiotemporal Organization of the Salience Network
Chen, T., Cai, W., Ryali, S., Supekar, K., & Menon, V. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002469 · Cited by 480 · see citing works
- Authors
- 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., & Petersen, S. E.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Power, Jonathan D.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 72
- Issue
- 4
- Pages
- 665-678
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3222858
- OpenAlex
- W2089572795
- Cited by
- 4,124
- References
- 76
- Citations by year
- 2026: 220 · 2025: 309 · 2024: 320 · 2023: 326 · 2022: 364 · 2021: 409 · 2020: 428 · 2019: 389 · 2018: 342 · 2017: 294 · 2016: 244 · 2015: 205 · 2014: 122 · 2013: 106 · 2012: 43
- FWCI
- 44.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u54mh091657-05)
- National Institute of Mental Health (U54-MH091657)
- National Institute of Neurological Disorders and Stroke (F30NS062489, R01NS32979, R01NS032979, R21NS061144)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD057076)
- 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
- functional brain networks, brain network organization, resting-state functional connectivity, brain graphs, functional brain areas, default mode network, network motifs, cortical organization
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Psychomotor Performance, Cohort Studies, Young Adult
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