Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain
Open accessAbstract
Human cognition is increasingly characterized as an emergent property of interactions among distributed, functionally specialized brain networks. We recently demonstrated that the antagonistic “default” and “dorsal attention” networks—subserving internally and externally directed cognition, respectively—are modulated by a third “frontoparietal control” network that flexibly couples with either network depending on task domain. However, little is known about the intrinsic functional architecture underlying this relationship. We used graph theory to analyze network properties of intrinsic functional connectivity within and between these three large-scale networks. Task-based activation from three independent studies were used to identify reliable brain regions (“nodes”) of each network. We then examined pairwise connections (“edges”) between nodes, as defined by resting-state functional connectivity MRI. Importantly, we used a novel bootstrap resampling procedure to determine the reliability of graph edges. Furthermore, we examined both full and partial correlations. As predicted, there was a higher degree of integration within each network than between networks. Critically, whereas the default and dorsal attention networks shared little positive connectivity with one another, the frontoparietal control network showed a high degree of between-network interconnectivity with each of these networks. Furthermore, we identified nodes within the frontoparietal control network of three different types—default-aligned, dorsal attention-aligned, and dual-aligned—that we propose play dissociable roles in mediating internetwork communication. The results provide evidence consistent with the idea that the frontoparietal control network plays a pivotal gate-keeping role in goal-directed cognition, mediating the dynamic balance between default and dorsal attention networks.
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Supporting evidence comes from neuroimaging studies reporting activation within the lateral prefrontal cortex, a core hub of the executive control network.
“Supporting evidence comes from neuroimaging studies reporting activation within the lateral prefrontal cortex, a core hub of the executive control network (ECN; 3, 33).”
From Default and executive network coupling supports creative idea production (2015) · cites this paper as [3]
The frontoparietal control network and salience network may mediate internally and externally directed cognition by maintaining a dynamic balance between the default and attention networks.
“The FPCN (as well as the salience network; Box 3) may in turn, mediate internally and externally directed cognition by maintaining a dynamic balance between the default and attention networks.15,155,160,162,163”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [163]
Spreng and colleagues' resting-state functional connectivity MRI and graph analyses found little positive connectivity between default and dorsal attention networks, high connectivity between each of these networks and the frontoparietal control network, and preferential pairwise connectivity among core network nodes.
“the authors observed little positive connectivity between default and dorsal attention networks, accompanied by a high degree of connectivity between each of these networks and the FPCN, with preferential patterns of pairwise connectivity amongst core network nodes (Fig. 5).”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [163]
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Cites
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
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
A set of measures of centrality based upon betweenness
Freeman, L. (1977) · Sociometry · doi:10.2307/3033543 · Cited by 10,557 · 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
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Self-citationThe 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
Self-citationThe 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
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
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
Efron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033 · see citing works
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592 · 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
Functional 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
Sridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892 · see citing works
An algorithm for drawing general undirected graphs
Kamada, T., & Kawai, S. (1989) · Information Processing Letters · doi:10.1016/0020-0190(89)90102-6 · Cited by 2,670 · see citing works
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
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
Resting-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
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
Self-citationExploratory Social Network Analysis with Pajek
de Nooy, W., Mrvar, A., & Batagelj, V. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108565691 · Cited by 2,089 · 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
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
Van 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
Limitations of the Application of Fourfold Table Analysis to Hospital Data
Berkson, J. (1946) · Biometrics Bulletin · doi:10.2307/3002000 · Cited by 1,810 · cited 1× · see citing works
“This process reduced the possibility of distortion to the partial correlation matrix due to Berkson’s paradox (Berkson, 1946), which could occur if we were to partial out negative correlations introduced when regressing out global mean signal (Murphy, Birn, Handwerker, Jones, & Bandettini, 2009).”
BackgroundNiendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700 · cited 3× · see citing works
“We have demonstrated that a third, spatially interposed, “frontoparietal control” network (Niendam et al., 2012; Vincent, Kahn, Snyder, Raichle, & Buckner, 2008) plays a role in goal-directed cognition by flexibly coupling with either the default or dorsal attention network (Spreng & Schacter,…”
BackgroundPartial Least Squares (PLS) methods for neuroimaging: A tutorial and review
Krishnan, A., Williams, L. J., McIntosh, A. R., & Abdi, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.034 · Cited by 1,335 · see citing works
Spreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256 · see citing works
Self-citationExploratory Social Network Analysis with Pajek
de Nooy, W., Mrvar, A., & Batagelj, V. (2005) · doi:10.1017/cbo9780511806452 · Cited by 1,244 · see citing works
Fransson, P., & Marrelec, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.059 · Cited by 1,213 · cited 2× · see citing works
“Within-network connectivity was consistent with prior characterizations of the spatial extent of the default, dorsal attention, and frontoparietal control networks (e.g. Vincent et al., 2008) and with partial correlations within the default network (Fransson & Marrelec, 2008).”
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
Anticorrelations in resting state networks without global signal regression
Chai, X. J., Nieto-Castañón, A., Öngür, D., & Whitfield, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.048 · Cited by 1,143 · see citing works
The brain's default network and its adaptive role in internal mentation
Andrews-Hanna, J. R. (2012) · The Neuroscientist · doi:10.1177/1073858411403316 · Cited by 1,114 · see citing works
Raichle, M. E. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.008 · Cited by 1,111 · see citing works
Behavioral interpretations of intrinsic connectivity networks
Laird, A. R., Fox, P. M., Eickhoff, S. B., Turner, J. A., Ray, K. L., McKay, D. R., Glahn, D. C., Beckmann, C. F., Smith, S. M., & Fox, P. T. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00077 · Cited by 1,023 · see citing works
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · see citing works
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · cited 2× · see citing works
“Recent neuroimaging evidence suggests a functional dissociation between PCu and posterior cingulate regions of medial parietal cortex (Leech, Kamourieh, Beckmann, & Sharp, 2011; Margulies et al., 2009; Spreng et al., 2010).”
Coherent spontaneous activity identifies a hippocampal-parietal memory network
Vincent, J. L., Snyder, A. Z., Fox, M. D., Shannon, B. J., Andrews, J. R., Raichle, M. E., & Buckner, R. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00048.2006 · Cited by 959 · cited 1× · see citing works
“Here we examined intrinsic connectivity within an established three-network model of goal-directed cognition (Spreng et al., 2010; Vincent et al., 2006).”
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
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
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
Leech, R., Kamourieh, S., Beckmann, C. F., & Sharp, D. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5626-10.2011 · Cited by 759 · 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
What's new with the amnesic patient H.M.?
Corkin, S. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn726 · Cited by 726 · see citing works
Kalina Christoff, A., & Gabrieli, J. D. E. (2000) · Psychobiology · doi:10.3758/bf03331976 · Cited by 684 · 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
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606 · see citing works
Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences
Tambini, A., Ketz, N., & Davachi, L. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.001 · Cited by 570 · 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
Towards a network theory of cognition
McIntosh, A. R. (2000) · Neural Networks · doi:10.1016/s0893-6080(00)00059-9 · Cited by 500 · see citing works
Partial correlation for functional brain interactivity investigation in functional MRI
Marrelec, G., Krainik, A., Duffau, H., Pélégrini-Issac, M., Lehéricy, S., Doyon, J., & Benali, H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.057 · Cited by 488 · see citing works
Potential self-regulatory mechanisms of yoga for psychological health
Gard, T., Noggle, J. J., Park, C. L., Vago, D. R., & Wilson, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00770 · Cited by 472 · see citing works
Bootstrap tests: how many bootstraps?
Davidson, R., & MacKinnon, J. G. (2000) · Econometric Reviews · doi:10.1080/07474930008800459 · Cited by 463 · see citing works
The Organization of Local and Distant Functional Connectivity in the Human Brain
Sepulcre, J., Liu, H., Talukdar, T., Martincorena, I., Yeo, B. T. T., & Buckner, R. L. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000808 · Cited by 425 · see citing works
Self-citationSmallwood, J., Brown, K., Baird, B., & Schooler, J. W. (2012) · Brain Research · doi:10.1016/j.brainres.2011.03.072 · Cited by 379 · see citing works
Pesaran, B., Nelson, M. J., & Andersen, R. A. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.025 · Cited by 371 · see citing works
Hampson, M., Driesen, N. R., Roth, J. K., Gore, J. C., & Constable, R. T. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2010.03.021 · Cited by 363 · see citing works
Mennes, M., Kelly, C. A. M., Zuo, X., Martino, A. D., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.002 · Cited by 355 · 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
Gratton, C., Nomura, E. M., Pérez, F., & D’Esposito, M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00222 · Cited by 336 · see citing works
Spatiotemporal analysis of event-related fMRI data using partial least squares
McIntosh, A. R., Chau, W., & Protzner, A. B. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.018 · Cited by 332 · see citing works
The fallacy of a “task‐negative” network
Spreng, R. N. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00145 · Cited by 320 · see citing works
Self-citationBrain activity at rest: a multiscale hierarchical functional organization
Doucet, G., Naveau, M., Petit, L., Delcroix, N., Zago, L., Crivello, F., Jobard, G., Tzourio-Mazoyer, N., Mazoyer, B., Mellet, E., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00895.2010 · Cited by 319 · see citing works
Cognitive impairment and resting-state network connectivity in Parkinson's disease
Baggio, H. C., Segura, B., Sala‐Llonch, R., Martı́, M. J., Valldeoriola, F., Compta, Y., TOLOSA, E. S., & Junqué, C. (2014) · Human Brain Mapping · doi:10.1002/hbm.22622 · Cited by 316 · see citing works
DynamicBC : A MATLAB Toolbox for Dynamic Brain Connectome Analysis
Liao, W., Wu, G., Xu, Q., Ji, G., Zhang, Z., Zang, Y., & Lu, G. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0253 · Cited by 304 · see citing works
Interoception and drug addiction
Paulus, M. P., & Stewart, J. L. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.07.002 · Cited by 281 · see citing works
Individual variability in functional connectivity predicts performance of a perceptual task
Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113148109 · Cited by 281 · see citing works
Concepts 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
Operational principles of neurocognitive networks
Bressler, S. L., & Tognoli, E. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.008 · Cited by 259 · see citing works
Resting-State Functional Connectivity Indexes Reading Competence in Children and Adults
Koyama, M. S., Martino, A. D., Zuo, X., Kelly, C. A. M., Mennes, M., Jutagir, D. R., Castellanos, F. X., & Milham, M. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4865-10.2011 · Cited by 253 · see citing works
Sripada, C., Kessler, D. A., & Angstadt, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407787111 · Cited by 244 · see citing works
Dorsal Premotor Cortex and Conditional Movement Selection: A PET Functional Mapping Study
Grafton, S. T., Fagg, A. H., & Arbib, M. A. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.2.1092 · Cited by 244 · see citing works
Yeo, B. T. T., Krienen, F. M., Chee, M. W. L., & Buckner, R. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.046 · Cited by 237 · see citing works
Frontal parietal control network regulates the anti‐correlated default and dorsal attention networks
Gao, W., & Lin, W. (2011) · Human Brain Mapping · doi:10.1002/hbm.21204 · Cited by 216 · see citing works
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214 · see citing works
Self-citationLimitations of the Application of Fourfold Table Analysis to Hospital Data.*,†
Berkson, J. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu022 · Cited by 212 · see citing works
Dynamic Diaschisis: Anatomically Remote and Context-Sensitive Human Brain Lesions
Price, C. J., Warburton, E. A., Moore, C. J., Frackowiak, R. S. J., & Friston, K. J. (2001) · Journal of Cognitive Neuroscience · doi:10.1162/08989290152001853 · Cited by 207 · see citing works
Stevens, W. D., Buckner, R. L., & Schacter, D. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp270 · Cited by 188 · see citing works
Self-citationBrain network activity in monolingual and bilingual older adults
Grady, C. L., Luk, G., Craik, F. I. M., & Bialystok, E. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.10.042 · Cited by 178 · see citing works
Dynamic brain functional connectivity modulated by resting-state networks
Di, X., & Biswal, B. B. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0634-3 · Cited by 157 · see citing works
Gerlach, K. D., Spreng, R. N., Madore, K. P., & Schacter, D. L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu001 · Cited by 148 · see citing works
Self-citationLouapre, C., Perlbarg, V., García-Lorenzo, D., Urbanski, M., Benali, H., Assouad, R., Damien Galanaud, E., Freeman, L. A., Bodini, B., Papeix, C., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22505 · Cited by 134 · see citing works
Divergent task-dependent functional connectivity of executive control and salience networks
Elton, A., & Gao, W. (2014) · Cortex · doi:10.1016/j.cortex.2013.10.012 · Cited by 127 · see citing works
Jiang, 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 124 · see citing works
Elman, J. A., Madison, C. M., Baker, S. L., Vogel, J. W., Marks, S. M., Crowley, S., O’Neil, J. P., & Jagust, W. J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu259 · Cited by 119 · see citing works
Changing topological patterns in normal aging using large-scale structural networks
Zhu, W., Wen, W. X., Yong He, A., Xia, A., Anstey, K. J., & Sachdev, P. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.06.022 · Cited by 106 · see citing works
Lückmann, H. C., Jacobs, H. I. L., & Sack, A. T. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.002 · Cited by 106 · see citing works
Sestieri, C., Corbetta, M., Spadone, S., Romani, G. L., & Shulman, G. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00504 · Cited by 103 · see citing works
Modulatory interactions between the default mode network and task positive networks in resting-state
Di, X., & Biswal, B. B. (2014) · PeerJ · doi:10.7717/peerj.367 · Cited by 100 · see citing works
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Chung, G. H., Han, Y. M., Jeong, S. H., & Jack, C. R. (2005) · PubMed Central · Cited by 83 · see citing works
Chang, X., Shen, H., Wang, L., Liu, Z., Wei, X., Hu, D., & Miao, D. (2014) · Brain Research · doi:10.1016/j.brainres.2014.03.024 · Cited by 80 · see citing works
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Robin, J., Hirshhorn, M., Rosenbaum, R. S., Winocur, G., Moscovitch, M., & Grady, C. L. (2014) · Hippocampus · doi:10.1002/hipo.22352 · Cited by 62 · see citing works
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Hampstead, B. M., Brown, G. S., & Hartley, J. F. (2013) · Brain stimulation · doi:10.1016/j.brs.2013.12.006 · Cited by 55 · see citing works
Wei, M., Qin, J., Yan, R., Bi, K., Liu, C., Yao, Z., & Lü, Q. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.020 · Cited by 51 · see citing works
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Yun, J.-Y., Jang, J. H., Jung, W. H., Shin, N. Y., Kim, S. N., Hwang, J. Y., & Kwon, J. S. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.3.333 · Cited by 22 · see citing works
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“In addition, WMT might enhance the brain ’ s ability to switch between different networks, such as the DMN and the task-positive networks (involved in focused, goal-oriented tasks) (Spreng et al., 2013).”
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- Authors
- Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L.
- Affiliations
- Cornell University (US)
- Harvard University (US)
- York University (CA)
- National Institute of Mental Health (JP)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2013-01-01
- Volume
- 25
- Issue
- 1
- Pages
- 74-86
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC3816715
- OpenAlex
- W2156466649
- Cited by
- 668
- References
- 117
- Citations by year
- 2026: 27 · 2025: 39 · 2024: 37 · 2023: 35 · 2022: 43 · 2021: 54 · 2020: 57 · 2019: 64 · 2018: 55 · 2017: 67 · 2016: 70 · 2015: 48 · 2014: 43 · 2013: 25 · 2012: 3
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship@McGill (McGill) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (5r01ag008441-30)
- National Institute on Aging (R01-AG008441)
- National Institute of Mental Health (MH 060941, R01MH060941)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- default mode network, dorsal attention network, frontoparietal network, large-scale brain networks, resting-state functional connectivity, network integration, goal-directed cognition, bootstrapping, graph theory
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Neuropsychological Tests, Young Adult
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