The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Cited by
Sorted by citations
Items 101–200 of 670
Partial entropy decomposition reveals higher-order information structures in human brain activity
Varley, T. F., Pope, M., Puxeddu, M. G., Joshua, J., & Sporns, O. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2300888120 · Cited by 103
Genetic variants in Alzheimer disease — molecular and brain network approaches
Gaiteri, C., Mostafavi, S., Honey, C. J., Jager, P. L. D., & Bennett, D. A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.84 · Cited by 97
Malekmohammadi, M., Price, C. M., Hudson, A. E., Thum, J. A., & Pouratian, N. (2019) · Brain · doi:10.1093/brain/awz169 · Cited by 96
Intracranial Electrophysiology of the Human Default Network
Fox, K. C. R., Foster, B. L., Kucyi, A., Daitch, A. L., & Parvizi, J. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.02.002 · Cited by 96
Zerbi, V., Ielacqua, G. D., Markicevic, M., Haberl, M. G., Ellisman, M. H., A-Bhaskaran, A., Frick, A., Rudin, M., & Wenderoth, N. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy046 · Cited by 81
Wang, J., Khosrowabadi, R., Ng, K. K., Hong, Z., Chong, J. S. X., Wang, Y., Chen, C.-Y., Hilal, S., Venketasubramanian, N., Wong, T. Y., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00404 · Cited by 92
Changes in functional connectivity dynamics associated with vigilance network in taxi drivers
Shen, H., Li, Z., Qin, J., Liu, Q., Wang, L., Zeng, L., Li, H., & Hu, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.010 · Cited by 91
Golkowski, D., Larroque, S. K., Vanhaudenhuyse, A., Plenevaux, A., Boly, M., Perri, C. D., Ranft, A., Schneider, G. H., Laureys, S., Jordan, D., et al. (2019) · Anesthesiology · doi:10.1097/aln.0000000000002704 · Cited by 88
Propofol anesthesia reduces Lempel-Ziv complexity of spontaneous brain activity in rats
Hudetz, A. G., Liu, X., Pillay, S., Boly, M., & Tononi, G. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.06.017 · Cited by 87
Reinen, J., Chén, O. Y., Hutchison, R. M., Yeo, B. T. T., Anderson, K. M., Sabuncu, M. R., Öngür, D., Roffman, J. L., Smoller, J. W., Baker, J. T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03462-y · Cited by 84
Combining brain perturbation and neuroimaging in non-human primates
Klink, P. C., Aubry, J., Ferrera, V. P., Fox, A. S., Froudist‐Walsh, S., Jarraya, B., Konofagou, E. E., Krauzlis, R. J., Messinger, A., Mitchell, A. S., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118017 · Cited by 86
Self-citationCerebral responses to local and global auditory novelty under general anesthesia
Uhrig, L., Janssen, D., Dehaene, S., & Jarraya, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.004 · Cited by 87
Self-citationDeco, G., Perl, Y. S., Bocaccio, H., Tagliazucchi, E., & Kringelbach, M. L. (2022) · Communications Biology · doi:10.1038/s42003-022-03505-7 · Cited by 81
Iraji, A., Fu, Z., Damaraju, E., DeRamus, T. P., Lewis, N., Bustillo, J., Lenroot, R., Belger, A., Ford, J. M., McEwen, S. C., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24505 · Cited by 82
Unpacking the complexities of consciousness: Theories and reflections
Mudrik, L., Boly, M., Dehaene, S., Fleming, S. M., Lamme, V., Seth, A., & Melloni, L. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106053 · Cited by 81
Self-citationOn wakefulness fluctuations as a source of BOLD functional connectivity dynamics
Haimovici, A., Tagliazucchi, E., Balenzuela, P., & Laufs, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-06389-4 · Cited by 81
Functional networks and network perturbations in rodents
Chuang, K., & Nasrallah, F. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.038 · Cited by 78
Brainstem Modulation of Large-Scale Intrinsic Cortical Activity Correlations
van den Brink, R. L., Pfeffer, T. A., & Donner, T. H. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00340 · Cited by 85
Catecholaminergic Neuromodulation Shapes Intrinsic MRI Functional Connectivity in the Human Brain
van den Brink, R. L., Pfeffer, T. A., Warren, C. M., Murphy, P. R., Tona, K., van der Wee, N. J. A., Giltay, E. J., van Noorden, M. S., Rombouts, S. A. R. B., Donner, T. H., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0744-16.2016 · Cited by 82
Weng, L., Xie, Q., Zhao, L., Zhang, R., Ma, Q., Wang, J., Jiang, W., Yan-bin, H., Chen, Y., Li, C., et al. (2017) · Cortex · doi:10.1016/j.cortex.2017.02.011 · Cited by 79
Reimann, H. M., & Niendorf, T. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00008 · Cited by 75
MRI in disorders of consciousness
Snider, S. B., & Edlow, B. L. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000873 · Cited by 79
What Is Consciousness, and Could Machines Have It?
Dehaene, S., Lau, H. C., & Kouider, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-54173-6_4 · Cited by 80
Self-citationBellana, B., Liu, Z. ‐., Diamond, N. B., Grady, C. L., & Moscovitch, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23445 · Cited by 75
Pain-Evoked Reorganization in Functional Brain Networks
Zheng, W., Woo, C., Yao, Z., Goldstein, P., Atlas, L. Y., Roy, M., Schmidt, L., Krishnan, A., Jepma, M., Hu, B., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz276 · Cited by 81
The history and future of resting-state functional magnetic resonance imaging
Biswal, B. B., & Uddin, L. Q. (2025) · Nature · doi:10.1038/s41586-025-08953-9 · Cited by 87
Towards a fourth spatial dimension of brain activity
Tozzi, A., & Peters, J. F. (2016) · Cognitive Neurodynamics · doi:10.1007/s11571-016-9379-z · Cited by 74
Bourdillon, P., Hermann, B., Guénot, M., Bastuji, H., Isnard, J., King, J.-R., Sitt, J. D., & Naccache, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-70447-7 · Cited by 79
Self-citationAn evolutionary gap in primate default mode network organization
Garin, C. M., Hori, Y., Everling, S., Whitlow, C. T., Calabro, F. J., Luna, B., Froesel, M., Gacoin, M., Hamed, S. B., Dhénain, M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110669 · Cited by 72
Dynamic functional connectivity markers of objective trait mindfulness
Lim, J., Teng, J., Patanaik, A., Tandi, J., & Massar, S. A. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.056 · Cited by 74
Wu, X., He, H. G., Shi, L., Xia, Y., Zuang, K., Feng, Q., Zhang, Y., Ren, Z., Wei, D., & Qiu, J. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.11.002 · Cited by 74
Dynamic cortical connectivity during general anesthesia in healthy volunteers
Li, D., Vlisides, P. E., Kelz, M. B., Avidan, M. S., Mashour, G. A., & for the ReCCognition Study Group (2019) · Anesthesiology · doi:10.1097/aln.0000000000002656 · Cited by 69
High transition frequencies of dynamic functional connectivity states in the creative brain
Li, J., Zhang, D., Liang, A., Liang, B., Wang, Z., Cai, Y., Gao, M., Gao, Z., Chang, S., Jiao, B., et al. (2017) · Scientific Reports · doi:10.1038/srep46072 · Cited by 71
Dynamic Default Mode Network across Different Brain States
Lin, P., Yang, Y., Gao, J., Pisapia, N. D., Ge, S., Wang, X., Zuo, C. S., Levitt, J. J., & Niu, C. (2017) · Scientific Reports · doi:10.1038/srep46088 · Cited by 68
Perl, Y. S., Pallavicini, C., Ipiña, I. P., Athena Demertzi, A., Bonhomme, V. L., Martial, C., Panda, R., Annen, J., Ibáñez, A. M., Kringelbach, M. L., et al. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009139 · Cited by 71
Self-citationCognitive and Neural State Dynamics of Narrative Comprehension
Song, H., Park, B., Park, H., & Shim, W. M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0037-21.2021 · Cited by 91
Shedding new light on disorders of consciousness diagnosis: The dynamic functional connectivity
Naro, A., Bramanti, A., Leo, A., Cacciola, A., Manuli, A., Bramanti, P., & Calabrò, R. S. (2018) · Cortex · doi:10.1016/j.cortex.2018.03.029 · Cited by 71
Panda, R., Thibaut, A., López‐González, A., Escrichs, A., Bahri, M. A., Hillebrand, A., Deco, G., Laureys, S., Gosseries, O., Annen, J., et al. (2022) · eLife · doi:10.7554/elife.77462 · Cited by 69
Neurofeedback Tunes Scale-Free Dynamics in Spontaneous Brain Activity
Ros, T., Frewen, P., Théberge, J., Michela, A., Kluetsch, R. C., Mueller, A., Candrian, G., Jetly, R., Vuilleumier, P. O., & Lanius, R. A. (2016) · Archive ouverte UNIGE (University of Geneva) · Cited by 69
Dynamic Connectivity Patterns in Conscious and Unconscious Brain
Ma, Y., Hamilton, C. M., & Zhang, N. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0464 · Cited by 71
Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain
Sethi, S. S., Zerbi, V., Wenderoth, N., Fornito, A., & Fulcher, B. (2017) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4979281 · Cited by 72
Novel method for functional brain imaging in awake minimally restrained rats
Chang, P., Procissi, D., Bao, Q., Centeno, M. V., Baria, A. T., & Apkarian, A. V. (2016) · Journal of Neurophysiology · doi:10.1152/jn.01078.2015 · Cited by 69
Khalili‐Mahani, N., Rombouts, S. A. R. B., van Osch, M. J. P., Duff, E. P., Carbonell, F., Nickerson, L. D. H., Becerra, L. R., Dahan, A., Evans, A. C., Soucy, J., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23516 · Cited by 63
Xu, T., Sturgeon, D., Ramirez, J. S. B., Froudist‐Walsh, S., Margulies, D. S., Schroeder, C. E., Fair, D. A., & Milham, M. P. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.02.005 · Cited by 62
Luppi, A. I., Golkowski, D., Ranft, A., Ilg, R., Jordan, D., Menon, D. K., & Stamatakis, E. A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25405 · Cited by 62
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Williams, G. B., Craig, M. M., Finoia, P., Peattie, A. R. D., Coppola, P., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03330-y · Cited by 79
Resting state functional connectivity analysis for addiction medicine
Pariyadath, V., Gowin, J. L., & Stein, E. A. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.015 · Cited by 68
Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients
Vlisides, P. E., Li, D., Zierau, M., Lapointe, A. P., Ip, K. I., McKinney, A. M., & Mashour, G. A. (2019) · Anesthesiology · doi:10.1097/aln.0000000000002677 · Cited by 66
Mapping and comparing fMRI connectivity networks across species
Pagani, M., Gutierrez‐Barragan, D., de Guzman, A. E., Xu, T., & Gozzi, A. (2023) · Communications Biology · doi:10.1038/s42003-023-05629-w · Cited by 68
Diversity of functional connectivity patterns is reduced in propofol‐induced unconsciousness
Lee, H., Noh, G., Joo, P., Choi, B., Silverstein, B. H., Kim, M., Wang, J., Jung, W., & Kim, S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23708 · Cited by 66
Disrupted neural variability during propofol‐induced sedation and unconsciousness
Huang, Z., Zhang, J., Wu, J., Liu, X., Xu, J., Zhang, J., Qin, P., Dai, R., Yang, Z. H., Mao, Y. Q., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24304 · Cited by 62
Functional diversity of brain networks supports consciousness and verbal intelligence
Naci, L., Haugg, A., MacDonald, A., Anello, M., Houldin, E., Naqshbandi, S., Gonzalez-Lara, L. E., Arango, M., Harle, C., Cusack, R., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31525-z · Cited by 66
Metastability demystified — the foundational past, the pragmatic present and the promising future
Hancock, F., Rosas, F. E., Luppi, A. I., Zhang, M., Mediano, P. A. M., Cabral, J., Deco, G., Kringelbach, M. L., Breakspear, M. J., Kelso, J. A. S., et al. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00883-1 · Cited by 92
Xie, H., Calhoun, V. D., González-Castillo, J., Damaraju, E., Miller, R. L., Bandettini, P. A., & Mitra, S. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.050 · Cited by 61
Wenzel, M., Han, S., Smith, E. H., Hoel, E. P., Greger, B. E., House, P. A., & Yuste, R. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.007 · Cited by 65
Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
Rué‐Queralt, J., Stevner, A. B. A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G., & Atasoy, S. (2021) · Communications Biology · doi:10.1038/s42003-021-02369-7 · Cited by 65
Wu, T., Mishra, A., Wang, F., Yang, P., Gore, J. C., & Chen, L. M. (2016) · Brain and Behavior · doi:10.1002/brb3.591 · Cited by 62
Deco, G., Tagliazucchi, E., Laufs, H., Sanjuán, A., & Kringelbach, M. L. (2017) · eNeuro · doi:10.1523/eneuro.0106-17.2017 · Cited by 59
Smith, J. B., Liang, Z., Watson, G. D. R., Alloway, K. D., & Zhang, N. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1323-9 · Cited by 60
Luppi, A. I., Cain, J. A., Spindler, L. R. B., Górska, U., Toker, D., Hudson, A. E., Brown, E. N., Diringer, M. N., Stevens, R. D., Massimini, M., et al. (2021) · Neurocritical Care · doi:10.1007/s12028-021-01281-6 · Cited by 62
Müller, E. J., Munn, B., Redinbaugh, M. J., Lizier, J. T., Breakspear, M. J., Saalmann, Y. B., & Shine, J. M. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112844 · Cited by 58
Do Nicotinic Receptors Modulate High-Order Cognitive Processing?
Koukouli, F., & Changeux, J. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.06.001 · Cited by 63
A New Modular Brain Organization of the BOLD Signal during Natural Vision
Kim, D., Kay, K., Shulman, G. L., & Corbetta, M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx175 · Cited by 58
Saggar, M., Shine, J. M., Liégeois, R., Dosenbach, N. U. F., & Fair, D. A. (2022) · Nature Communications · doi:10.1038/s41467-022-32381-2 · Cited by 65
Connectivity dynamics from wakefulness to sleep
Damaraju, E., Tagliazucchi, E., Laufs, H., & Calhoun, V. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117047 · Cited by 54
Impact of anesthesia on static and dynamic functional connectivity in mice
Tsurugizawa, T., & Yoshimaru, D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118413 · Cited by 61
Neuronal networks in the developing brain are adversely modulated by early psychosocial neglect
Stamoulis, C., Vanderwert, R. E., Zeanah, C. H., Fox, N. A., & Nelson, C. A. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00014.2017 · Cited by 57
Deep sleep divides the cortex into opposite modes of anatomical–functional coupling
Tagliazucchi, E., Crossley, N. A., Bullmore, E. T., & Laufs, H. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1162-0 · Cited by 54
Jang, H., Mashour, G. A., Hudetz, A. G., & Huang, Z. (2024) · Nature Communications · doi:10.1038/s41467-024-53299-x · Cited by 57
Hutchison, R. M., & Morton, J. B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.08.006 · Cited by 54
González-Castillo, J., Caballero‐Gaudes, C., Topolski, N., Handwerker, D. A., Pereira, F., & Bandettini, P. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116129 · Cited by 54
Abnormal dynamic properties of functional connectivity in disorders of consciousness
Cao, B., Chen, Y., Yu, R., Chen, L., Chen, P., Weng, Y., Chen, Q., Song, J., Xie, Q., & Huang, R. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102071 · Cited by 55
Altered Resting-State Functional Connectivity Between Awake and Isoflurane Anesthetized Marmosets
Hori, Y., Schaeffer, D. J., Gilbert, K. M., Hayrynen, L. K., Cléry, J. C., Gati, J. S., Menon, R. S., & Everling, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa168 · Cited by 54
Robust dynamic brain coactivation states estimated in individuals
Peng, X., Liu, Q., Hubbard, C. S., Wang, D., Zhu, W., Fox, M., & Liu, H. (2023) · Science Advances · doi:10.1126/sciadv.abq8566 · Cited by 52
Complexity of cortical wave patterns of the wake mouse cortex
Liang, Y., Liang, J., Song, C., Liu, M., Knöpfel, T., Gong, P., & Zhou, C. (2023) · Nature Communications · doi:10.1038/s41467-023-37088-6 · Cited by 55
Neuromodulatory control of complex adaptive dynamics in the brain
Shine, J. M. (2023) · Interface Focus · doi:10.1098/rsfs.2022.0079 · Cited by 58
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity
Fukushima, M., Betzel, R. F., He, Y., de Reus, M. A., van den Heuvel, M. P., Zuo, X., & Sporns, O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.044 · Cited by 54
Temporal fluctuations in the brain’s modular architecture during movie-watching
Betzel, R. F., Byrge, L. A., Esfahlani, F. Z., & Kennedy, D. P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116687 · Cited by 55
On the dangers of conflating strong and weak versions of a theory of consciousness
Lau, H. C., & Michel, M. (2020) · Philosophy and the Mind Sciences · doi:10.33735/phimisci.2020.ii.54 · Cited by 53
Rocca, D. L., Zilber, N., Abry, P., van Wassenhove, V., & Ciuciu, P. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.09.010 · Cited by 51
On the dangers of conflating strong and weak versions of a theory of consciousness
Lau, H., & Michel, M. (2019) · doi:10.31234/osf.io/hjp3s · Cited by 52
“Look at my classifier's result”: Disentangling unresponsive from (minimally) conscious patients
Noirhomme, Q., Brecheisen, R., Lesenfants, D., Antonopoulos, G., & Laureys, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.006 · Cited by 53
Neural and metabolic basis of dynamic resting state fMRI
Thompson, G. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.010 · Cited by 57
Where do we stand on fMRI in awake mice?
Mandino, F., Vujic, S., Grandjean, J., & Lake, E. M. R. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad478 · Cited by 49
Dissociated patterns of anti‐correlations with dorsal and ventral default‐mode networks at rest
Chen, J. E., Glover, G. H., Greicius, M. D., & Chang, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23532 · Cited by 49
Age-Related Decline in the Variation of Dynamic Functional Connectivity: A Resting State Analysis
Chen, Y., Wang, W., Zhao, X. W., Sha, M., Liu, Y., Zhang, X., Ma, J., Ni, H., & Ming, D. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00203 · Cited by 50
Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals
Hahn, G., Zamora‐López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B., & Deco, G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117470 · Cited by 51
Self-citationLiang, X., Hsu, L., Lu, H., Sumiyoshi, A., Yong He, A., & Yang, Y. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw416 · Cited by 51
Dynamic functional connectivity and its behavioral correlates beyond vigilance
Patanaik, A., Tandi, J., Ong, J. L., Wang, C., Zhou, J. H., & Chee, M. W. L. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.049 · Cited by 49
Yin, D., Liu, W., Zeljic, K., Wang, Z., Lv, Q., Fan, M., Cheng, W., & Wang, Z. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1476-16.2016 · Cited by 43
Panda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., Cecconi, B., Escrichs, A., Coma Science Group Collaborators, Deco, G., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26386 · Cited by 54
A synergistic workspace for human consciousness revealed by Integrated Information Decomposition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Carhart-Harris, R. L., Williams, G. B., Craig, M. M., Finoia, P., Owen, A. M., et al. (2023) · eLife · doi:10.7554/elife.88173 · Cited by 120
Luppi, A. I., Uhrig, L., Tasserie, J., Signorelli, C. M., Stamatakis, E. A., Alain Destexhe, A., Jarraya, B., & Cofré, R. (2024) · Nature Communications · doi:10.1038/s41467-024-46382-w · Cited by 54
Self-citationDynamic reorganization of intrinsic functional networks in the mouse brain
Grandjean, J., Preti, M. G., Bolton, T. A. W., Buerge, M., Seifritz, E., Pryce, C. R., Ville, D. V. D., & Rudin, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.026 · Cited by 48
Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data
Chen, J. E., Rubinov, M., & Chang, C. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2017.06.009 · Cited by 46
Global structural integrity and effective connectivity in patients with disorders of consciousness
Bodart, O., Amico, E., Gómez, F. A., Casali, A. G., Wannez, S., Heine, L., Thibaut, A., Annen, J., Boly, M., Casarotto, S., et al. (2017) · Brain stimulation · doi:10.1016/j.brs.2017.11.006 · Cited by 47
Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo
Xu, T., Falchier, A., Sullivan, E. L., Linn, G. S., Ramirez, J. S. B., Ross, D. A., Feczko, E., Opitz, A., Bagley, J. L., Sturgeon, D., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.049 · Cited by 46
Resting state networks in empirical and simulated dynamic functional connectivity
Glomb, K., Ponce‐Alvarez, A., Gilson, M., Ritter, P., & Deco, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.065 · Cited by 42
Mortaheb, S., Calster, L. V., Raimondo, F., Klados, M. A., Boulakis, P. A., Georgoula, K., Majerus, S., Ville, D. V. D., & Athena Demertzi, A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2200511119 · Cited by 48
Esfahlani, F. Z., Byrge, L. A., Tanner, J., Sporns, O., Kennedy, D. P., & Betzel, R. F. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119591 · Cited by 44
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
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 ›
Are you an author, or do you see a problem with this page? Request a review