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Signature of consciousness in the dynamics of resting-state brain activity
Open accessAbstract
Significance: What are the origins of resting-state functional connectivity patterns? One dominating view is that they index ongoing cognitive processes. However, this conclusion is in conflict with studies showing that long-range functional connectivity persists after loss of consciousness, possibly reflecting structural connectivity maps. In this work we respond to this question showing that in fact both sources have a clear and separable contribution to resting-state patterns. We show that under anesthesia, the dominating functional configurations have low information capacity and lack negative correlations. Importantly, they are rigid, tied to the anatomical map. Conversely, wakefulness is characterized by the dynamical exploration of a rich, flexible repertoire of functional configurations. These dynamical properties constitute a signature of consciousness.
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“simulations show that the GNW is subject to a continuous stream of stochastic spontaneous activity”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
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In the citing paper
“Recent work in non-human primates demonstrates that the functional relationships between critical nodes in the GNW—such as prefrontal, posterior parietal, and cingulate cortices—are stereotypically altered during propofol, sevoflurane, and ketamine anesthesia (Barttfeld et al., 2015; Uhrig et al., 2018).”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
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“This dynamic signature of conscious processing was initially discovered in fMRI studies of awake versus anesthetized monkeys (Barttfeld et al., 2015) and later found to generalize to humans in vegetative or minimally conscious states (Demertzi et al., 2019).”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
In the citing paper
“As previously demonstrated in rats (Bettinardi et al. 2015) and monkeys (Barttfeld et al. 2015), modulating the depth of anesthesia correlates with changes in BOLD variability and reduces the overall connectivity strength.”
From Dysfunctional Autism Risk Genes Cause Circuit-Specific Connectivity Deficits With Distinct Developmental Trajectories (2018) · cites this paper as Barttfeld et al. 2015
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Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
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
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
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
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
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
Sparse inverse covariance estimation with the graphical lasso
Friedman, J., Hastie, T., & Tibshirani, R. (2008) · Biostatistics · doi:10.1093/biostatistics/kxm045 · Cited by 6,355
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
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
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 2,750
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
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573
Self-citationMurphy, 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
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143
Organization, development and function of complex brain networks
SPORNS, O., CHIALVO, D., KAISER, M., & HILGETAG, C. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.008 · Cited by 2,055
Detecting awareness in the vegetative state
Owen, A. M., Coleman, M. R., Boly, M., Davis, M. H., Laureys, S., & Pickard, J. D. (2006) · Science · doi:10.1126/science.1130197 · Cited by 1,978
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
Chang, C., & Glover, G. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.011 · Cited by 1,808
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
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900234106 · Cited by 1,769
Willful Modulation of Brain Activity in Disorders of Consciousness
Monti, M. M., Vanhaudenhuyse, A., Coleman, M. R., Boly, M., Pickard, J. D., Tshibanda, L., Owen, A. M., & Laureys, S. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0905370 · Cited by 1,469
Long-range correlations in nucleotide sequences
Peng, C., Buldyrev, S. V., Goldberger, A. L., Havlin, S., Sciortino, F., Simons, M., & Stanley, E. (1992) · Nature · doi:10.1038/356168a0 · Cited by 1,413
Miller, R. G. (1974) · Biometrika · doi:10.1093/biomet/61.1.1 · Cited by 1,391
The Small World of the Cerebral Cortex
Sporns, O., & Zwi, J. D. (2004) · Neuroinformatics · doi:10.1385/ni:2:2:145 · Cited by 1,378
Caroline Schnakers, A., Vanhaudenhuyse, A., Giacino, J. T., Ventura, M., Boly, M., Majerus, S., Moonen, G., & Laureys, S. (2009) · BMC Neurology · doi:10.1186/1471-2377-9-35 · Cited by 1,351
Validity and Reliability of the Observer??s
CHERNIK, D. A., Gillings, D. B., LAINE, H., Hendler, J., Silver, J., DAVIDSON, A. B., Schwam, E. M., & Siegel, J. L. (1990) · Journal of Clinical Psychopharmacology · doi:10.1097/00004714-199008000-00003 · Cited by 1,246
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
Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008) · Science · doi:10.1126/science.1149213 · Cited by 1,245
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
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
Neural basis of global resting-state fMRI activity
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913110107 · Cited by 939
Capacity limits of information processing in the brain
Marois, R., & Ivanoff, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.04.010 · Cited by 928
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L. J.-F., Bruno, M.-A., Boveroux, P., Schnakers, C., Soddu, A., Perlbarg, V., Ledoux, D., Brichant, J.-F., et al. (2010) · Brain · doi:10.1093/brain/awp313 · Cited by 911
Electroencephalogram signatures of loss and recovery of consciousness from propofol
Purdon, P. L., Pierce, E. T., Mukamel, E. A., Prerau, M. J., Walsh, J. L., Wong, K. F. K., Salazar-Gomez, A. F., Harrell, P. G., Sampson, A. L., Cimenser, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221180110 · Cited by 854
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 732
Boveroux, P., Vanhaudenhuyse, A., Bruno, M.-A., Noirhomme, Q., Lauwick, S., Luxen, A., Degueldre, C., Plenevaux, A., Schnakers, C., Phillips, C., et al. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181f697f5 · Cited by 630
Rat brains also have a default mode network
Lu, H., Zou, Q., Gu, H., Raichle, M. E., Stein, E. A., & Yang, Y. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200506109 · Cited by 622
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
Sitt, J. D., King, J.-R., El Karoui, I., Rohaut, B., Faugeras, F., Gramfort, A., Cohen, L., Sigman, M., Dehaene, S., & Naccache, L. (2014) · Brain · doi:10.1093/brain/awu141 · Cited by 608
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 576
Spontaneous cortical activity in awake monkeys composed of neuronal avalanches
Petermann, T., Thiagarajan, T. C., Lebedev, M., Nicolelis, M. A. L., Chialvo, D. R., & Plenz, D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904089106 · Cited by 566
Breakdown in cortical effective connectivity during midazolam-induced loss of consciousness
Ferrarelli, F., Massimini, M., Sarasso, S., Casali, A., Riedner, B. A., Angelini, G., Tononi, G., & Pearce, R. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913008107 · Cited by 554
Visual Motion Processing Investigated Using Contrast Agent-Enhanced fMRI in Awake Behaving Monkeys
Vanduffel, W., Fize, D., Mandeville, J. B., Nelissen, K., Hecke, P. V., Rosen, B. R., Tootell, R. B. H., & Orban, G. A. (2001) · Neuron · doi:10.1016/s0896-6273(01)00502-5 · Cited by 506
Hippocampal-cortical interaction during periods of subcortical silence
Logothetis, N. K., Eschenko, O., Murayama, Y., Augath, M., Steudel, T., Evrard, H. C., Besserve, M., & Oeltermann, A. (2012) · Nature · doi:10.1038/nature11618 · Cited by 420
Propofol Anesthesia and Sleep: A High-Density EEG Study
Murphy, M., Bruno, M.-A., Riedner, B. A., Boveroux, P., Noirhomme, Q., Landsness, E. C., Brichant, J.-F., Phillips, C., Massimini, M., Laureys, S., et al. (2011) · Sleep · doi:10.1093/sleep/34.3.283 · Cited by 418
Toward a computational theory of conscious processing
Dehaene, S., Charles, L., King, J.-R., & Marti, S. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.005 · Cited by 404
Self-citationIntrinsic Brain Activity in Altered States of Consciousness
Boly, M., Phillips, C. L. M., Tshibanda, L., Vanhaudenhuyse, A., Schabus, M., Dang‐Vu, T. T., Moonen, G., Hustinx, R., Maquet, P., & Laureys, S. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.015 · Cited by 401
Resting 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 388
Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness
Lewis, L. D., Weiner, V. S., Mukamel, E. A., Donoghue, J., Eskandar, E. N., Madsen, J. R., Anderson, W. S., Hochberg, L. R., Cash, S. S., Brown, E. N., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210907109 · Cited by 387
Information Sharing in the Brain Indexes Consciousness in Noncommunicative Patients
King, J.-R., Sitt, J. D., Faugeras, F., Rohaut, B., El Karoui, I., Cohen, L., Naccache, L., & Dehaene, S. (2013) · Current Biology · doi:10.1016/j.cub.2013.07.075 · Cited by 370
Self-citationSupervised translation-invariant sparse coding
Yang, J., Yu, K., & Huang, T. S. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539958 · Cited by 364
Boly, M., Tshibanda, L., Vanhaudenhuyse, A., Noirhomme, Q., Schnakers, C., Ledoux, D., Boveroux, P., Garweg, C., Lambermont, B. C., Phillips, C. L. M., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20672 · Cited by 333
Dehaene, S., & Changeux, J.-P. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030141 · Cited by 329
Self-citationDynamic BOLD functional connectivity in humans and its electrophysiological correlates
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., & Laufs, H. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00339 · Cited by 300
A role for the default mode network in the bases of disorders of consciousness
Fernández‐Espejo, D., Soddu, A., Cruse, D., Palacios, E. M., Junqué, C., Vanhaudenhuyse, A., Rivas, E., Newcombe, V., Menon, D. K., Pickard, J. D., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23635 · Cited by 287
Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., Jahnke, K., & Laufs, H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312848110 · Cited by 269
A common neural code for similar conscious experiences in different individuals
Naçi, L., Cusack, R., Anello, M., & Owen, A. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407007111 · Cited by 238
Brain covariance selection: better individual functional connectivity models using population priorPreprint
Varoquaux, G. P., Gramfort, A., Poline, J., & Thirion, B. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1008.5071 · Cited by 204
King, J. R., Faugeras, F., Gramfort, A., Schurger, A., El Karoui, I., Sitt, J. D., Rohaut, B., Wacongne, C., Labyt, E., Bekinschtein, T., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.013 · Cited by 197
Self-citationCoCoMac 2.0 and the future of tract-tracing databases
Bakker, R., Wächtler, T., & Diesmann, M. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00030 · Cited by 176
An MRI based average macaque monkey stereotaxic atlas and space (MNI monkey space)
Frey, S., Pandya, D. Ν., Chakravarty, M. M., Bailey, L., Petrides, M., & Collins, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.040 · Cited by 167
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
Dynamic Repertoire of Intrinsic Brain States Is Reduced in Propofol-Induced Unconsciousness
Hudetz, A. G., Liu, X., & Pillay, S. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0230 · Cited by 145
Feshchenko, V. A., Veselis, R. A., & Reinsel, R. A. (2004) · Neuropsychobiology · doi:10.1159/000079981 · Cited by 141
Mapping brains without coordinates
Kötter, R., & Wanke, E. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1625 · Cited by 137
‘Paedfusor’ pharmacokinetic data set
Absalom, A. R., & Kenny, G. N. C. (2005) · British Journal of Anaesthesia · doi:10.1093/bja/aei567 · Cited by 123
Information processing architecture of functionally defined clusters in the macaque cortex
Shen, K., Bezgin, G., Hutchison, R. M., Gati, J. S., Menon, R. S., Everling, S., & McIntosh, A. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2709-12.2012 · Cited by 123
A Hierarchy of Responses to Auditory Regularities in the Macaque Brain
Uhrig, L., Dehaene, S., & Jarraya, B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3165-13.2014 · Cited by 123
Self-citationBarttfeld, P., Wicker, B., Cukier, S., Navarta, S., Lew, S., Leiguarda, R. C., & Sigman, M. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.09.047 · Cited by 84
Self-citationFunctional Connectivity of the Macaque Brain across Stimulus and Arousal States
Moeller, S., Nallasamy, N., Tsao, D. Y., & Freiwald, W. A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0220-09.2009 · Cited by 76
A default mode of brain function in altered states of consciousness.
Guldenmund, P., Vanhaudenhuyse, A., Boly, M., Laureys, S., & Soddu, A. (2012) · PubMed · doi:10.4449/aib.v150i2.1373 · Cited by 75
Bezgin, G., Wanke, E., Krumnack, A., & Kötter, R. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.05.010 · Cited by 21
Long-range correlation of renal sympathetic nerve activity in both conscious and anesthetized rats
Li, Y.-T., Qiu, J., Yang, Z. R., Johns, E. J., & Zhang, T. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.015 · Cited by 13
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“Recent work in non-human primates demonstrates that the functional relationships between critical nodes in the GNW— such as prefrontal, posterior parietal, and cingulate cortices— are stereotypically altered during propofol, sevoflurane, and ketamine anesthesia (Barttfeld et al., 2015; Uhrig et al., 2018).”
BackgroundInfluentialSelf-citationShine, 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
Metadata
- Authors
- Barttfeld, P., Uhrig, L., Sitt, J. D., Sigman, M., Jarraya, B., & Dehaene, S.
- Affiliations
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- Universidad Torcuato Di Tella (AR)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-01-05
- Volume
- 112
- Issue
- 3
- Pages
- 887-892
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4311826
- OpenAlex
- W2094377986
- Cited by
- 670
- References
- 76
- Citations by year
- 2026: 30 · 2025: 72 · 2024: 54 · 2023: 62 · 2022: 63 · 2021: 69 · 2020: 55 · 2019: 53 · 2018: 65 · 2017: 57 · 2016: 57 · 2015: 33
- FWCI
- 42.52
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-08-31)
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
- Funders
- James S. McDonnell Foundation
- Institut National de la Santé et de la Recherche Médicale
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Fondation Roger de Spoelberch
- 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
- consciousness, resting-state brain activity, anesthesia, structural connectivity, small-world property, negative correlation, long-range correlations, wakefulness, monkeys
- MeSH terms
- Animals, Brain, Brain Mapping, Consciousness, Macaca mulatta, Magnetic Resonance Imaging
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