Signature of consciousness in the dynamics of resting-state brain activity
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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 indicate that even without stimulation the GNW has continuous stochastic spontaneous activity, which matches the fluctuating fMRI and EEG functional connectivity seen in awake resting brains and its disappearance under anesthesia or in disorders of consciousness.
“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
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredRecent work in non-human primates demonstrates that functional relationships between critical GNW nodes-prefrontal, posterior parietal, and cingulate cortices-are stereotypically altered during propofol, sevoflurane, and ketamine anesthesia.
“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
The Results (page unavailable) report altered functional correlations in macaques under propofol sedation, including connections involving prefrontal and cingulate regions. The Propofol Anesthesia methods (page unavailable) describe only propofol conditions; this source does not establish the claimed alterations during sevoflurane or ketamine anesthesia. The other citation in the sentence is not assessed here. (LLM, conf=0.89)
Experimental — accuracy not yet measuredThis dynamic signature of conscious processing was initially discovered in fMRI studies of awake versus anesthetized monkeys and later found to generalize to humans in vegetative or minimally conscious states.
“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
Modulating the depth of anesthesia correlates with changes in BOLD variability and reduces the overall connectivity strength.
“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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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
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500 · see citing works
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836 · 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 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
<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
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
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 · 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
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962 · see citing works
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 · 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
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903 · see citing works
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 · see citing works
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786 · see citing works
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 · see citing works
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 · see citing works
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 1,410 · see citing works
Miller, R. G. (1974) · Biometrika · doi:10.1093/biomet/61.1.1 · Cited by 1,391 · 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
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 · see citing works
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 · 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
Alkire, M. T., Hudetz, A. G., & Tononi, G. (2008) · Science · doi:10.1126/science.1149213 · Cited by 1,245 · 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
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
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 715 · see citing works
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 · 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
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 · see citing works
Self-citationRat 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 595 · see citing works
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 572 · see citing works
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 · see citing works
Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire
Ghosh, A., Rho, Y.-A., McIntosh, A. R., Kötter, R., & Jirsa, V. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000196 · Cited by 550 · see citing works
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 492 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationRapid 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 · see citing works
Intrinsic 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 387 · see citing works
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 · 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
Supervised 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 359 · see citing works
Dehaene, S., & Changeux, J.-P. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030141 · Cited by 329 · see citing works
Self-citationBoly, 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 323 · see citing works
Dynamic 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 285 · see citing works
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 277 · see citing works
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 251 · see citing works
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 227 · see citing works
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 · see citing works
Self-citationBrain 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 197 · see citing works
CoCoMac 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 · see citing works
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 165 · 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
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 142 · see citing works
Feshchenko, V. A., Veselis, R. A., & Reinsel, R. A. (2004) · Neuropsychobiology · doi:10.1159/000079981 · Cited by 141 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citation‘Paedfusor’ pharmacokinetic data set
Absalom, A. R., & Kenny, G. N. C. (2005) · British Journal of Anaesthesia · doi:10.1093/bja/aei567 · Cited by 120 · see citing works
Barttfeld, 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 79 · see citing works
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 72 · see citing works
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 72 · see citing works
Bezgin, G., Wanke, E., Krumnack, A., & Kötter, R. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.05.010 · Cited by 21 · see citing works
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 · see citing works
Flagged first, then by citations
Research works printed but not linked: 9
- [58]58. Vincent JL, et al. (2007) Intrinsic functional architecture in the anaesthetized monkey brain. Nature 447(7140):83-86.
- [64]64. Vanduffel W, et al. (2001) Visual motion processing investigated using contrast agent- enhanced fMRI in awake behaving monkeys. Neuron 32(4):565-577.
- [65]65. Frey S, et al. (2011) An MRI based average macaque monkey stereotaxic atlas and space (MNI monkey space). Neuroimage 55(4):1435-1442.
- [66]66. Fox MD, et al. (2005) The human brain is intrinsically organized into dynamic, anti- correlated functional networks. Proc Natl Acad Sci USA 102(27):9673-9678.
- [67]67. Allen EA, et al. (2014) Tracking whole-brain connectivity dynamics in the resting state. Cereb Cortex 24(3):663-676.
- [69]69. Kötter R, Wanke E (2005) Mapping brains without coordinates. Philos Trans R Soc Lond B Biol Sci 360(1456):751-766.
- [70]70. Shen K, et al. (2012) Information processing architecture of functionally defined clusters in the macaque cortex. J Neurosci 32(48):17465-17476.
- [81]81. Sporns O, Zwi JD (2004) The small world of the cerebral cortex. Neuroinformatics 2(2): 145-162.
- [82]82. Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: Uses and interpretations. Neuroimage 52(3):1059-1069.
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Mashour, G. A., Roelfsema, P., Changeux, J.-P., & Dehaene, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.026 · Cited by 1,164 · see citing works
“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 · see citing works
Seth, A. K., & Bayne, T. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00587-4 · Cited by 880 · see citing works
What is consciousness, and could machines have it?
Dehaene, S., Lau, H., & Kouider, S. (2017) · Science · doi:10.1126/science.aan8871 · Cited by 855 · see citing works
Self-citationFrom the neuron doctrine to neural networks
Yuste, R. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3962 · Cited by 748 · see citing works
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K., & Deco, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.055 · Cited by 632 · see citing works
Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., Kucyi, A., Liégeois, R., Lindquist, M. A., McIntosh, A. R., et al. (2020) · Network Neuroscience · doi:10.1162/netn_a_00116 · Cited by 648 · 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
The entropic brain - revisited
Carhart-Harris, R. L. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.03.010 · Cited by 522 · 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-citationCabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N., & Kringelbach, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05425-7 · Cited by 386 · see citing works
Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients
Athena Demertzi, A., Antonopoulos, G., Heine, L., Voss, H. U., Crone, J. S., Angeles, C. D. L., Bahri, M. A., Perri, C. D., Vanhaudenhuyse, A., Charland‐Verville, V., et al. (2015) · Brain · doi:10.1093/brain/awv169 · Cited by 384 · see citing works
A Synergistic Core for Human Brain Evolution and Cognition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Holland, N., Fryer, T. D., O’Brien, J. T., Rowe, J. B., Menon, D. K., Bor, D., & Stamatakis, E. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01070-0 · Cited by 314 · see citing works
Neuromodulatory Influences on Integration and Segregation in the Brain
Shine, J. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.002 · Cited by 320 · see citing works
Key, B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1011 · Cited by 318 · see citing works
The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity
Cohen, J. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.036 · Cited by 291 · see citing works
Functional connectivity under six anesthesia protocols and the awake condition in rat brain
Paasonen, J., Stenroos, P., Salo, R. A., Kiviniemi, V. J., & Gröhn, O. H. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.014 · Cited by 296 · see citing works
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Liégeois, R., Li, J., Kong, R., Orbán, C., Ville, D. V. D., Ge, T., Sabuncu, M. R., & Yeo, B. T. T. (2019) · Nature Communications · doi:10.1038/s41467-019-10317-7 · Cited by 289 · see citing works
Task-based dynamic functional connectivity: Recent findings and open questions
González-Castillo, J., & Bandettini, P. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.006 · Cited by 293 · see citing works
Consciousness-specific dynamic interactions of brain integration and functional diversity
Luppi, A. I., Craig, M. M., Pappas, I., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Owen, A. M., Naci, L., Menon, D. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12658-9 · Cited by 251 · see citing works
The Infancy of the Human Brain
Dehaene-Lambertz, G., & Spelke, E. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.026 · Cited by 264 · see citing works
Northoff, G., Wainio‐Theberge, S., & Evers, K. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.05.002 · Cited by 262 · see citing works
Perri, C. D., Bahri, M. A., Amico, E., Thibaut, A., Heine, L., Antonopoulos, G., Charland‐Verville, V., Wannez, S., Gómez, F. A., Hustinx, R., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00111-3 · Cited by 260 · see citing works
Interpreting temporal fluctuations in resting-state functional connectivity MRI
Liégeois, R., Laumann, T. O., Snyder, A. Z., Zhou, J. H., & Yeo, B. T. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.012 · Cited by 256 · see citing works
Northoff, G., & Lamme, V. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.019 · Cited by 247 · see citing works
Brain States and Transitions: Insights from Computational Neuroscience
Kringelbach, M. L., & Deco, G. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108128 · Cited by 249 · see citing works
High-amplitude cofluctuations in cortical activity drive functional connectivity
Esfahlani, F. Z., Jo, Y., Faskowitz, J., Byrge, L. A., Kennedy, D. P., Sporns, O., & Betzel, R. F. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005531117 · Cited by 241 · see citing works
Betzel, R. F., Fukushima, M., He, Y., Zuo, X.-N., & Sporns, O. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.001 · Cited by 249 · see citing works
An Open Resource for Non-human Primate Imaging
Milham, M. P., Ai, L., Koo, B., Xu, T., Amiez, C., Balezeau, F., Baxter, M. G., Blezer, E. L. A., Brochier, T. G., Chen, A., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.039 · Cited by 247 · see citing works
Self-citationInsects have the capacity for subjective experience
Klein, C., & Barron, A. B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1113 · Cited by 243 · see citing works
Principles of dynamic network reconfiguration across diverse brain states
Shine, J. M., & Poldrack, R. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.010 · Cited by 235 · see citing works
Temporal circuit of macroscale dynamic brain activity supports human consciousness
Huang, Z., Zhang, J., Wu, J., Mashour, G. A., & Hudetz, A. G. (2020) · Science Advances · doi:10.1126/sciadv.aaz0087 · Cited by 217 · see citing works
Co-activation patterns in resting-state fMRI signals
Liu, X., Zhang, N., Chang, C. E., & Duyn, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.041 · Cited by 232 · see citing works
Northoff, G., & Huang, Z. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.07.013 · Cited by 229 · see citing works
Dynamic Brain Network Correlates of Spontaneous Fluctuations in Attention
Kucyi, A., Hove, M. J., Esterman, M. S., Hutchison, R. M., & Valera, E. M. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw029 · Cited by 225 · see citing works
Gao, Y., Ma, Y., Zhang, Q., Winder, A. T., Liang, Z., Antinori, L., Drew, P. J., & Zhang, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.069 · Cited by 216 · see citing works
Heritability and interindividual variability of regional structure-function coupling
Gu, Z., Jamison, K. W., Sabuncu, M. R., & Kuceyeski, A. F. (2021) · Nature Communications · doi:10.1038/s41467-021-25184-4 · Cited by 213 · see citing works
Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Bruno, M.-A., Jaquet, O., Bahri, M. A., Plenevaux, A., Boly, M., Boveroux, P., Soddu, A., et al. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001275 · Cited by 207 · see citing works
Neural correlates of unconsciousness in large-scale brain networks
Mashour, G. A., & Hudetz, A. G. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.01.003 · Cited by 189 · see citing works
Shine, J. M., Koyejo, S., & Poldrack, R. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604898113 · Cited by 203 · see citing works
Replicability of time-varying connectivity patterns in large resting state fMRI samples
Abrol, A., Damaraju, E., Miller, R. L., Stephen, J. M., Claus, E. D., Mayer, A. R., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.020 · Cited by 193 · see citing works
Tasserie, J., Uhrig, L., Sitt, J. D., Manasova, D., Dupont, M., Dehaene, S., & Jarraya, B. (2022) · Science Advances · doi:10.1126/sciadv.abl5547 · Cited by 171 · 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
Minimally conscious state or cortically mediated state?
Naccache, L. (2018) · Brain · doi:10.1093/brain/awx324 · Cited by 181 · see citing works
Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states
Wang, C., Ong, J. L., Patanaik, A., Zhou, J. H., & Chee, M. W. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523980113 · Cited by 187 · see citing works
Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics
Tagliazucchi, E., Chialvo, D. R., Siniatchkin, M., Amico, E., Brichant, J.-F., Bonhomme, V. L., Noirhomme, Q., Laufs, H., & Laureys, S. (2016) · Journal of The Royal Society Interface · doi:10.1098/rsif.2015.1027 · Cited by 186 · see citing works
Shine, J. M., Aburn, M. J., Breakspear, M. J., & Poldrack, R. A. (2018) · eLife · doi:10.7554/elife.31130 · Cited by 175 · see citing works
Grayson, D. S., Bliss-Moreau, E., Machado, C. J., Bennett, J., Shen, K., Grant, K. A., Fair, D. A., & Amaral, D. G. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.005 · Cited by 172 · see citing works
Network structure shapes spontaneous functional connectivity dynamics
Shen, K., Hutchison, R. M., Bezgin, G., Everling, S., & McIntosh, A. R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4903-14.2015 · Cited by 171 · see citing works
LSD alters dynamic integration and segregation in the human brain
Luppi, A. I., Carhart-Harris, R. L., Roseman, L., Pappas, I., Menon, D. K., & Stamatakis, E. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117653 · Cited by 159 · see citing works
The Neurology of Consciousness
Tononi, G., Boly, M., Gosseries, O., & Laureys, S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800948-2.00025-x · Cited by 175 · see citing works
Entropy and the Brain: An Overview
Keshmiri, S. (2020) · Entropy · doi:10.3390/e22090917 · Cited by 168 · see citing works
The secret life of predictive brains: what’s spontaneous activity for?
Pezzulo, G., Zorzi, M., & Corbetta, M. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.05.007 · Cited by 164 · see citing works
Functional connectivity predicts changes in attention observed across minutes, days, and months
Rosenberg, M. D., Scheinost, D., Greene, A. S., Avery, E. W., Kwon, Y. H., Finn, E. S., Ramani, R., Qiu, M., Constable, R. T., & Chun, M. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912226117 · Cited by 169 · see citing works
The Rediscovery of Slowness: Exploring the Timing of Cognition
Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V., & Deco, G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.07.011 · Cited by 157 · see citing works
Kim, M., Mashour, G. A., Moraes, S.-B., Vanini, G., Tarnal, V., Janke, E., Hudetz, A. G., & Lee, U. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00001 · Cited by 162 · see citing works
Unique spatiotemporal fMRI dynamics in the awake mouse brain
Gutierrez‐Barragan, D., Singh, N. A., Alvino, F. G., Coletta, L., Rocchi, F., de Guzman, A. E., Galbusera, A., Uboldi, M., Panzeri, S., & Gozzi, A. (2022) · Current Biology · doi:10.1016/j.cub.2021.12.015 · Cited by 160 · see citing works
Ranft, A., Golkowski, D., Kiel, T., Riedl, V., Kohl, P., Rohrer, G., Pientka, J., Berger, S., Thul, A., Maurer, M., et al. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001322 · Cited by 142 · see citing works
Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D., Deco, G., Kringelbach, M. L., Stamatakis, E. A., & Kuceyeski, A. F. (2022) · Nature Communications · doi:10.1038/s41467-022-33578-1 · Cited by 146 · see citing works
Structural basis of large-scale functional connectivity in the mouse
Grandjean, J., Zerbi, V., Balsters, J. H., Wenderoth, N., & Rudin, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0438-17.2017 · Cited by 151 · see citing works
Resting-state Dynamics as a Cortical Signature of Anesthesia in Monkeys
Uhrig, L., Sitt, J. D., Jacob, A., Tasserie, J., Barttfeld, P., Dupont, M., Dehaene, S., & Jarraya, B. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002336 · Cited by 131 · see citing works
Self-citationWhy and how access consciousness can account for phenomenal consciousness
Naccache, L. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0357 · Cited by 145 · see citing works
Dynamic functional connectivity and brain metastability during altered states of consciousness
Cavanna, F., Vilas, M. G., Palmucci, M., & Tagliazucchi, E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.065 · Cited by 137 · see citing works
How to Interpret Resting-State fMRI: Ask Your Participants
González-Castillo, J., Kam, J. W. Y., Hoy, C. W., & Bandettini, P. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-20.2020 · Cited by 143 · see citing works
Wang, D. J. J., Jann, K., Fan, C., Qiao, Y., Zang, Y., Lu, H., & Yang, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00352 · Cited by 133 · see citing works
Wang, J., Wang, Y., Huang, H., Jia, Y., Zheng, S., Zhong, S., Chen, G., Huang, L., & Huang, R. (2019) · Psychological Medicine · doi:10.1017/s003329171900028x · Cited by 138 · see citing works
Assessing the depth of language processing in patients with disorders of consciousness
Gui, P., Jiang, Y., Zang, D., Qi, Z., Tan, J., Hiromi, T., Jiang, J., Wen, Y., Xu, L., Zhao, J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0639-1 · Cited by 137 · see citing works
Self-citationTask-related modulation of functional connectivity variability and its behavioral correlations
Elton, A., & Gao, W. (2015) · Human Brain Mapping · doi:10.1002/hbm.22847 · Cited by 137 · see citing works
Chen, B., Xu, T., Zhou, C., Wang, L., Yang, N., Wang, Z., Dong, H.-M., Yang, Z., Zang, Y., Zuo, X., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144963 · Cited by 136 · see citing works
Fukushima, M., Betzel, R. F., He, Y., van den Heuvel, M. P., Zuo, X., & Sporns, O. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1539-3 · Cited by 136 · see citing works
Harmonic brain modes: a unifying framework for linking space and time in brain dynamics
Atasoy, S., Deco, G., Kringelbach, M. L., & Pearson, J. (2018) · The Neuroscientist · doi:10.1177/1073858417728032 · Cited by 124 · see citing works
Just a thought: How mind-wandering is represented in dynamic brain connectivity
Kucyi, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.001 · Cited by 134 · see citing works
Engemann, D. A., Kozynets, O., Sabbagh, D., Lemaitre, G., Varoquaux, G. P., Liem, F., & Gramfort, A. (2020) · eLife · doi:10.7554/elife.54055 · Cited by 132 · see citing works
Xu, J., Lyu, H., Li, T., Xu, Z., Fu, X., Jia, F., Wang, J., & Hu, Q. (2019) · Human Brain Mapping · doi:10.1002/hbm.24763 · Cited by 121 · see citing works
Thompson, W. H., & Fransson, P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.022 · Cited by 119 · see citing works
Turbulent-like Dynamics in the Human Brain
Deco, G., & Kringelbach, M. L. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108471 · Cited by 113 · see citing works
Kringelbach, M. L., Perl, Y. S., Tagliazucchi, E., & Deco, G. (2023) · Science Advances · doi:10.1126/sciadv.ade6049 · Cited by 105 · see citing works
Disconnecting Consciousness: Is There a Common Anesthetic End Point?
Hudetz, A. G., & Mashour, G. A. (2016) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000001353 · Cited by 121 · see citing works
Long-range phase synchronization of high-frequency oscillations in human cortex
Arnulfo, G., Wang, S. H., Myrov, V. O., Toselli, B., Hirvonen, J., Fato, M., Nobili, L., Cardinale, F., Rubino, A., Zhigalov, A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18975-8 · Cited by 120 · see citing works
Stable long-range interhemispheric coordination is supported by direct anatomical projections
Shen, K., Mišić, B., Cipollini, B., Bezgin, G., Buschkuehl, M., Hutchison, R. M., Jaeggi, S. M., Kross, E. F., Peltier, S., Everling, S., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503436112 · Cited by 114 · see citing works
Dopamine Signaling Modulates the Stability and Integration of Intrinsic Brain Networks
Shafiei, G., Zeighami, Y., Clark, C. A., Coull, J. T., Nagano‐Saito, A., Leyton, M., Dagher, A., & Mišić, B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy264 · Cited by 120 · see citing works
Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization
Mandino, F., Cerri, D. H., Garin, C. M., Straathof, M., van Tilborg, G. A. F., Chakravarty, M. M., Dhénain, M., Dijkhuizen, R. M., Gozzi, A., Heß, A., et al. (2020) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00078 · Cited by 119 · see citing works
Anesthesia and the neurobiology of consciousness
Mashour, G. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.03.002 · Cited by 127 · see citing works
Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
López‐González, A., Panda, R., Ponce‐Alvarez, A., Zamora‐López, G., Escrichs, A., Martial, C., Thibaut, A., Gosseries, O., Kringelbach, M. L., Annen, J., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02537-9 · Cited by 116 · see citing works
Jobst, B., Hindriks, R., Laufs, H., Tagliazucchi, E., Hahn, G., Ponce‐Alvarez, A., Stevner, A. B. A., Kringelbach, M. L., & Deco, G. (2017) · Scientific Reports · doi:10.1038/s41598-017-04522-x · Cited by 114 · see citing works
Distributed harmonic patterns of structure-function dependence orchestrate human consciousness
Luppi, A. I., Vohryzek, J., Kringelbach, M. L., Mediano, P. A. M., Craig, M. M., Adapa, R., Carhart-Harris, R. L., Roseman, L., Pappas, I., Peattie, A. R. D., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04474-1 · Cited by 112 · see citing works
General Anesthesia: A Probe to Explore Consciousness
Bonhomme, V. L., Staquet, C., Montupil, J., Defresne, A., Kirsch, M., Martial, C., Vanhaudenhuyse, A., Chatelle, C., Larroque, S. K., Raimondo, F., et al. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00036 · Cited by 112 · see citing works
Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Wang, R., Bashyam, V., Yang, Z., Yu, F., Tassopoulou, V., Chintapalli, S. S., Skampardoni, I., Sreepada, L. P., Sahoo, D., Nikita, K. S., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119898 · Cited by 117 · see citing works
Wang, J., Xie, S., Guo, X., Becker, B., Fox, P. T., Eickhoff, S. B., & Jiang, T. (2017) · Human Brain Mapping · doi:10.1002/hbm.23488 · Cited by 106 · see citing works
Huang, Z., Liu, X., Mashour, G. A., & Hudetz, A. G. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2545-17.2018 · Cited by 107 · see citing works
The spatial chronnectome reveals a dynamic interplay between functional segregation and integration
Iraji, A., DeRamus, T. P., Lewis, N., Yaesoubi, M., Stephen, J. M., Erhardt, E. B., Belger, A., Ford, J. M., McEwen, S. C., Mathalon, D. H., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24580 · Cited by 106 · see citing works
Constituents and functional implications of the rat default mode network
Hsu, L., Liang, X., Gu, H., Brynildsen, J. K., Stark, J. A., Ash, J. A., Lin, C., Lu, H., Rapp, P. R., Stein, E. A., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1601485113 · Cited by 101 · see citing works
Savva, A. D., Mitsis, G. D., & Matsopoulos, G. K. (2019) · Brain and Behavior · doi:10.1002/brb3.1255 · Cited by 102 · see citing works
Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy
Gu, Y., Sainburg, L. E., Kuang, S., Han, F., Williams, J. W., Liu, Y., Zhang, N., Zhang, X., Leopold, D. A., & Liu, X. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab064 · Cited by 92 · see citing works
Tagliazucchi, E., & Someren, E. J. W. V. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.026 · Cited by 98 · see citing works
Lee, H., Golkowski, D., Jordan, D., Berger, S., Ilg, R., Lee, J., Mashour, G. A., Lee, U., Avidan, M. S., Blain‐Moraes, S., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.011 · Cited by 97 · see citing works
Bedside functional monitoring of the dynamic brain connectivity in human neonates
Baranger, J., Demené, C., Frérot, A., Faure, F., Delanöe, C., Serroune, H., Houdouin, A., Mairesse, J., Biran, V., Baud, O., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21387-x · Cited by 97 · see citing works
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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