Rethinking segregation and integration: contributions of whole-brain modelling
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The brain regulates information flow by balancing the segregation and integration of incoming stimuli to facilitate flexible cognition and behaviour. The topological features of brain networks--in particular, network communities and hubs--support this segregation and integration but do not provide information about how external inputs are processed dynamically (that is, over time). Experiments in which the consequences of selective inputs on brain activity are controlled and traced with great precision could provide such information. However, such strategies have thus far had limited success. By contrast, recent whole-brain computational modelling approaches have enabled us to start assessing the effect of input perturbations on brain dynamics in silico.
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The brain's functional landscape is highly dynamic and unfolds on a relatively fixed structural scaffold.
“Within the brain, a highly dynamic functional landscape unfolds on a relatively fixed structural scaffold (Deco et al., 2015; Shen et al., 2015)”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Deco et al., 2015
The brain traverses a metastable state-space over time, balancing segregated processing with global coordination and integration.
“There is now growing evidence to support the notion that the brain traverses a metastable state-space in time (Deco et al., 2015), balancing the opposing tendencies for specialized, segregated processing with the need for global coordination and integration (Tognoli and Kelso, 2014).”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Deco et al., 2015
Neuronal dynamics can be measured and modeled at multiple scales, from local sets of interacting neurons to whole-brain activity.
“Neuronal dynamics can be measured and modeled at multiple scales, from local sets of interacting neurons to whole-brain activity45.”
From Cognitive computational neuroscience (2018) · cites this paper as [45]
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139 · see citing works
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791 · see citing works
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · 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
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
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
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
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · 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
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · 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
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
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
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
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260 · see citing works
Self-citationToward the future of psychiatric diagnosis: the seven pillars of RDoC
Cuthbert, B. N., & Insel, T. R. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-126 · Cited by 3,053 · see citing works
Tracking 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
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
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
Self-citationThe connectomics of brain disorders
Fornito, A., Zalesky, A., & Breakspear, M. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3901 · Cited by 1,734 · see citing works
Dynamic 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
(1990) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,661 · see citing works
Tononi, G., Sporns, O., & Edelman, G. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.11.5033 · Cited by 1,626 · see citing works
Self-citationTemporal binding and the neural correlates of sensory awareness.
Engel, A. K., & Singer, W. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01568-0 · Cited by 1,372 · see citing works
The Small World of the Cerebral Cortex
Sporns, O., & Zwi, J. D. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:145 · Cited by 1,356 · see citing works
A theoretically based index of consciousness independent of sensory processing and behavior
Casali, A. G., Gosseries, O., Rosanova, M., Boly, M., Sarasso, S., Casali, K. R., Casarotto, S., Bruno, M.-A., Laureys, S., Tononi, G., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006294 · Cited by 1,246 · see citing works
Self-citationWang, E., Yao, H.-B., Chen, Y., Wang, G., Gao, W., Sun, Y., Guo, J., Hu, J., Jiang, C., & Hu, J. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350082 · Cited by 1,176 · see citing works
Clinical applications of resting state functional connectivity
Fox, M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00019 · Cited by 1,164 · see citing works
From the phenomenology to the mechanisms of consciousness: integrated information theory 3.0
Oizumi, M., Albantakis, L., & Tononi, G. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003588 · Cited by 1,128 · see citing works
Self-citationNetwork 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
Cooperative phenomena in systems far from thermal equilibrium and in nonphysical systems
Haken, H. (1975) · Reviews of Modern Physics · doi:10.1103/revmodphys.47.67 · Cited by 1,000 · see citing works
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease
Stam, C. J., de Haan, W., Daffertshofer, A., Jones, B. F., Manshanden, I., van Walsum, A. M. V. C., Montez, T., Verbunt, J. P. A., de Munck, J. C., van Dijk, B. W., et al. (2008) · Brain · doi:10.1093/brain/awn262 · Cited by 896 · see citing works
Brunel, N., & Wang, X. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01095.2002 · Cited by 857 · see citing works
Translational principles of deep brain stimulation
Kringelbach, M. L., Jenkinson, N., Owen, S. L. F., & Aziz, T. Z. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2196 · Cited by 853 · see citing works
Self-citationOn spurious and real fluctuations of dynamic functional connectivity during rest
Leonardi, N., & Van De Ville, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.007 · Cited by 828 · see citing works
Twenty‐five pitfalls in the analysis of diffusion MRI data
Jones, D. K., & Cercignani, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1543 · Cited by 827 · see citing works
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V. J., Meuli, R., & Thiran, J.-P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000597 · Cited by 788 · see citing works
Key role of coupling, delay, and noise in resting brain fluctuations
Deco, G., Jirsa, V., McIntosh, A. R., Sporns, O., & Kötter, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901831106 · Cited by 756 · 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
Tognoli, E., & Kelso, J. A. S. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.022 · Cited by 718 · see citing works
Complexity and coherency: integrating information in the brain
Tononi, G. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01259-5 · Cited by 706 · see citing works
Self-citationOngoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors
Deco, G., & Jirsa, V. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2523-11.2012 · Cited by 680 · see citing works
Self-citationTagliazucchi, E., & Laufs, H. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.020 · Cited by 637 · see citing works
Cortical high-density counterstream architectures
Markov, N. T., Ercsey-Ravasz, M., Van Essen, D. C., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2013) · Science · doi:10.1126/science.1238406 · Cited by 616 · see citing works
Centenary of Brodmann's map — conception and fate
Zilles, K., & Amunts, K. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2776 · Cited by 584 · see citing works
Deco, G., Ponce-Alvarez, A., Mantini, D., Romani, G. L., Hagmann, P., & Corbetta, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1091-13.2013 · Cited by 576 · see citing works
Self-citationNoise 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
Fornito, A., Harrison, B. J., Zalesky, A., & Simons, J. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204185109 · Cited by 538 · see citing works
Role of local network oscillations in resting-state functional connectivity
Cabral, J., Hugues, E., Sporns, O., & Deco, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.010 · Cited by 515 · see citing works
Self-citationStratified medicine: strategic and economic implications of combining drugs and clinical biomarkers
Trusheim, M. R., Berndt, E. R., & Douglas, F. L. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2251 · Cited by 510 · see citing works
Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep
Schabus, M., Dang-Vu, T. T., Albouy, G., Balteau, E., Boly, M., Carrier, J., Darsaud, A., Degueldre, C., Desseilles, M., Gais, S., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703084104 · Cited by 488 · see citing works
Self-citationSpontaneous neural activity during human slow wave sleep
Dang‐Vu, T. T., Schabus, M., Desseilles, M., Albouy, G., Boly, M., Darsaud, A., Gais, S., Rauchs, G., Virginie Sterpenich, A., Vandewalle, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801819105 · Cited by 436 · see citing works
Self-citationImaging human connectomes at the macroscale
Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods · doi:10.1038/nmeth.2482 · Cited by 419 · see citing works
Integrated information in discrete dynamical systems: motivation and theoretical framework
Balduzzi, D., & Tononi, G. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000091 · Cited by 419 · see citing works
Self-citationDeco, G., & Kringelbach, M. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.034 · Cited by 402 · see citing works
Self-citationHow Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics
Deco, G., Ponce‐Alvarez, A., Hagmann, P., Romani, G. L., Mantini, D., & Corbetta, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5068-13.2014 · Cited by 377 · see citing works
Self-citationResting brains never rest: computational insights into potential cognitive architectures
Deco, G., Jirsa, V., & McIntosh, A. R. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.001 · Cited by 368 · see citing works
Self-citationA wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series
Patel, A. X., Kundu, P., Rubinov, M., Jones, P. S., Vértes, P. E., Ersche, K. D., John Suckling, A., & Bullmore, E. T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.012 · Cited by 354 · see citing works
Exploring the network dynamics underlying brain activity during rest
Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351 · see citing works
Self-citationZamora‐López, G. (2010) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.001.2010 · Cited by 333 · see citing works
Using Diffusion Imaging to Study Human Connectional Anatomy
Johansen‐Berg, H., & Rushworth, M. F. S. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135735 · Cited by 314 · see citing works
Cabral, J., Luckhoo, H., Woolrich, M. W., Joensson, M., Mohseni, H., Baker, A. P., Kringelbach, M. L., & Deco, G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.047 · Cited by 312 · see citing works
Self-citationMeasuring information integration
Tononi, G., & Sporns, O. (2003) · BMC Neuroscience · doi:10.1186/1471-2202-4-31 · Cited by 294 · see citing works
Self-citationBiophysical Mechanisms of Multistability in Resting-State Cortical Rhythms
Freyer, F., Roberts, J. A., Becker, R., Robinson, P. A., Ritter, P., & Breakspear, M. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6693-10.2011 · Cited by 289 · see citing works
Network architecture of the long-distance pathways in the macaque brain
Modha, D. S., & Singh, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008054107 · Cited by 283 · see citing works
Information integration without awareness
Mudrik, L., Faivre, N., & Koch, C. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.009 · Cited by 277 · see citing works
MR connectomics: Principles and challenges
Hagmann, P., Cammoun, L., Gigandet, X., Gerhard, S., Grant, P. E., Wedeen, V. J., Meuli, R. A., Thiran, J., Honey, C. J., & Sporns, O. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.01.014 · Cited by 271 · see citing works
Computational analysis of functional connectivity between areas of primate cerebral cortex
Stephan, K. E., Hilgetag, C. C., Burns, G., O’Neill, M. A., Young, M. P., & Kötter, R. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0552 · Cited by 269 · see citing works
The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging
Ritter, P., Schirner, M., McIntosh, A. R., & Jirsa, V. K. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0120 · Cited by 268 · see citing works
Handbook of Brain Connectivity
Jirsa, V., & McIntosh, A. R. (2007) · Understanding complex systems · doi:10.1007/978-3-540-71512-2 · Cited by 264 · see citing works
A brief history of the resting state: The Washington University perspective
Snyder, A. Z., & Raichle, M. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.044 · Cited by 235 · see citing works
Practical Measures of Integrated Information for Time-Series Data
Barrett, A. B., & Seth, A. K. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001052 · Cited by 225 · see citing works
Quantifying Synergistic Mutual Information
Griffith, V., & Koch, C. (2013) · Emergence, complexity and computation · doi:10.1007/978-3-642-53734-9_6 · Cited by 200 · see citing works
Hierarchical clustering of brain activity during human nonrapid eye movement sleep
Boly, M., Perlbarg, V., Marrelec, G., Schabus, M., Laureys, S., Doyon, J., Pélégrini‐Issac, M., Maquet, P., & Benali, H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111133109 · Cited by 190 · see citing works
Self-citationInformation, sensation, and perception
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5731 · Cited by 166 · see citing works
Identification of optimal structural connectivity using functional connectivity and neural modeling
Deco, G., McIntosh, A. R., Shen, K., Hutchison, R. M., Menon, R. S., Everling, S., Hagmann, P., & Jirsa, V. K. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4423-13.2014 · Cited by 162 · see citing works
Self-citationAutomatic sleep staging using fMRI functional connectivity data
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Borisov, S. V., Jahnke, K., & Laufs, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.036 · Cited by 152 · see citing works
Ethical brain stimulation – neuroethics of deep brain stimulation in research and clinical practice
Clausen, J. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07421.x · Cited by 149 · see citing works
Open neuroscience solutions for the connectome-wide association era.
Milham, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.004 · Cited by 115 · see citing works
van Hartevelt, T. J., Cabral, J., Deco, G., Møller, A., Green, A. L., Aziz, T. Z., & Kringelbach, M. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086496 · Cited by 114 · see citing works
Self-citationModeling Resting-State Functional Networks When the Cortex Falls Asleep: Local and Global Changes
Deco, G., Hagmann, P., Hudetz, A. G., & Tononi, G. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht176 · Cited by 88 · see citing works
Self-citationBalancing the Brain: Resting State Networks and Deep Brain Stimulation
Kringelbach, M. L., Green, A. L., & Aziz, T. Z. (2011) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2011.00008 · Cited by 72 · see citing works
Self-citationNeuronal Dynamics and Brain Connectivity
Breakspear, M. J., & Jirsa, V. (2007) · Understanding complex systems · doi:10.1007/978-3-540-71512-2_1 · Cited by 66 · see citing works
Neuroethical Principles of Deep-Brain Stimulation
Kringelbach, M. L., & Aziz, T. Z. (2011) · World Neurosurgery · doi:10.1016/j.wneu.2011.06.042 · Cited by 17 · see citing works
Self-citationSporns, O. (2010) · Scholarpedia · doi:10.4249/scholarpedia.5584 · Cited by 13 · see citing works
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Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886 · 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
No-Report Paradigms: Extracting the True Neural Correlates of Consciousness
Tsuchiya, N., Wilke, M., Frässle, S., & Lamme, V. A. F. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.002 · Cited by 551 · see citing works
Human consciousness is supported by dynamic complex patterns of brain signal coordination
Demertzi, A., Tagliazucchi, E., Dehaene, S., Deco, G., Barttfeld, P., Raimondo, F., Martial, C., Fernández-Espejo, D., Rohaut, B., Voss, H. U., et al. (2019) · Science Advances · doi:10.1126/sciadv.aat7603 · Cited by 513 · see citing works
Self-citationCognitive computational neuroscience
Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0210-5 · Cited by 535 · see citing works
A cross-disorder connectome landscape of brain dysconnectivity
van den Heuvel, M. P., & Sporns, O. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0177-6 · Cited by 462 · see citing works
van den Heuvel, M. P., Bullmore, E. T., & Sporns, O. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.001 · Cited by 328 · see citing works
Network neuroscience theory of human intelligence
Barbey, A. K. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.001 · Cited by 355 · see citing works
Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G., & Carhart-Harris, R. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-17546-0 · Cited by 214 · see citing works
Self-citationConsciousness and complexity: a consilience of evidence
Sarasso, S., Casali, A. G., Casarotto, S., Rosanova, M., Sinigaglia, C., & Massimini, M. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab023 · Cited by 171 · see citing works
Brain network dynamics in high-functioning individuals with autism
Watanabe, T., & Rees, G. (2017) · Nature Communications · doi:10.1038/ncomms16048 · Cited by 165 · see citing works
Revisiting the global workspace orchestrating the hierarchical organization of the human brain
Deco, G., Vidaurre, D., & Kringelbach, M. L. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01003-6 · Cited by 162 · see citing works
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Turbulent-like Dynamics in the Human Brain
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Altered predictive capability of the brain network EEG model in schizophrenia during cognition
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A measure centrality index for systematic empirical comparison of consciousness theories
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- Authors
- Deco, G., Tononi, G., Boly, M., & Kringelbach, M. L.
- Affiliations
- Institució Catalana de Recerca i Estudis Avançats (ES)
- University of Wisconsin–Madison (US)
- Aarhus University (DK)
- Corresponding author
- Deco, Gustavo
- Venue
- Nature reviews. Neuroscience
- Published
- 2015-06-17
- Volume
- 16
- Issue
- 7
- Pages
- 430-439
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1552946839
- Cited by
- 658
- References
- 89
- Citations by year
- 2026: 68 · 2025: 80 · 2024: 65 · 2023: 59 · 2022: 65 · 2021: 83 · 2020: 44 · 2019: 46 · 2018: 46 · 2017: 52 · 2016: 39 · 2015: 10
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- integration and segregation, information flow, brain network topology, network hubs, network communities, input perturbation, brain dynamics, in silico modeling
- MeSH terms
- Brain, Brain Mapping, Cognition, Humans, Models, Neurological, Nerve Net, Thinking
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