Breakdown of the brain’s functional network modularity with awareness
Open accessAbstract
Significance: How the brain begets conscious awareness has been one of the most fundamental and elusive problems in neuroscience, psychology, and philosophy. Correspondingly, this problem has spawned a remarkably large number of theories that differ by the proposed extent of cortical and subcortical changes associated with awareness, ranging from local to global changes in functional connectivity. Graph theoretical techniques, in combination with functional magnetic resonance imaging, provide a well-suited tool to adjudicate between these disparate theories by characterizing whole-brain patterns of communication. In this paper, we demonstrate large-scale differences in functional connections with awareness of a visual target, consistent with global models of awareness.
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
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 timescales on which decoherence occurs in the environment of the brain are considerably shorter than neural firing rates.
“As initially calculated by Max Tegmark in response to Orch OR theory, the timescales on which decoherence occurs in the environment of the brain are considerably shorter than neural firing rates 47 .”
From Quantum effects in the brain: A review (2020) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,308 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798 · 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
The VideoToolbox software for visual psychophysics: transforming numbers into movies
Pelli, D. G. (1997) · Spatial Vision · doi:10.1163/156856897x00366 · Cited by 11,110 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
Kleiner, M., Brainard, D., & Pelli, D. G. (2007) · MPG.PuRe (Max Planck Society) · Cited by 3,751 · see citing works
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284 · 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
Newman, M. E. J. (2004) · Physical Review E · doi:10.1103/physreve.70.056131 · Cited by 2,483 · see citing works
Conscious, preconscious, and subliminal processing: a testable taxonomy
Dehaene, S., Changeux, J.-P., Naccache, L., Sackur, J., & Sergent, C. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.03.007 · Cited by 2,067 · see citing works
A dual-networks architecture of top-down control
Dosenbach, N. U. F., Fair, D. A., Cohen, A. L., Schlaggar, B. L., & Petersen, S. E. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.01.001 · Cited by 1,931 · see citing works
Ogawa, S., Menon, R. S., Tank, D. W., Kim, S. G., Merkle, H., Ellermann, J. M., & Ugurbil, K. (1993) · Biophysical Journal · doi:10.1016/s0006-3495(93)81441-3 · Cited by 1,772 · see citing works
Dynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705 · see citing works
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704 · see citing works
Intrinsic and task-evoked network architectures of the human brain
Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564 · see citing works
Tononi, G. (1998) · Science · doi:10.1126/science.282.5395.1846 · Cited by 1,561 · see citing works
Consciousness as integrated information: a provisional manifesto
Tononi, G. (2008) · The Biological Bulletin · doi:10.2307/25470707 · Cited by 1,529 · see citing works
McLaren, D. G., Ries, M. L., Xu, G., & Johnson, S. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.068 · Cited by 1,445 · see citing works
Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence
Humphries, M. D., & Gurney, K. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002051 · Cited by 1,442 · see citing works
Functional Connectivity and Brain Networks in Schizophrenia
Lynall, M.-E., Bassett, D. S., Kerwin, R., McKenna, P. J., Kitzbichler, M. G., Müller, U., & Bullmore, E. T. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0333-10.2010 · Cited by 1,366 · see citing works
Cerebral mechanisms of word masking and unconscious repetition priming
Dehaene, S., Naccache, L., Cohen, L., Bihan, D. L., Mangin, J.-F., Poline, J.-B., & Rivière, D. (2001) · Nature Neuroscience · doi:10.1038/89551 · Cited by 1,305 · see citing works
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161 · see citing works
The conscious access hypothesis: origins and recent evidence
Baars, B. J. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01819-2 · Cited by 994 · 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
Self-citationGlobal workspace theory of consciousness: toward a cognitive neuroscience of human experience
Baars, B. J. (2005) · Progress in Brain Research · doi:10.1016/s0079-6123(05)50004-9 · Cited by 888 · see citing works
Weight-conserving characterization of complex functional brain networks
Rubinov, M., & Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.069 · Cited by 871 · see citing works
Gitelman, D. R., Penny, W. D., Ashburner, J., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00058-2 · Cited by 799 · see citing works
Neural Correlates of Perceptual Rivalry in the Human Brain
Lumer, E. D., Friston, K. J., & Rees, G. E. (1998) · Science · doi:10.1126/science.280.5371.1930 · Cited by 745 · see citing works
Neural correlates of consciousness in humans
Rees, G., Kreiman, G., & Koch, C. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn783 · Cited by 742 · see citing works
Communicability in complex networks
Estrada, E., & Hatano, N. (2008) · Physical Review E · doi:10.1103/physreve.77.036111 · Cited by 719 · see citing works
Synchronization of neural activity across cortical areas correlates with conscious perception
Melloni, L., Molina, C., Pena, M., Torres, D., Singer, W., & Rodriguez, E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4623-06.2007 · Cited by 716 · see citing works
The Most Expensive Painting in the World
Gregory, R. L. (2007) · Perception · doi:10.1068/p3601ed · Cited by 619 · see citing works
Groß, J., Schmitz, F., Schnitzler, I., Kessler, K., Shapiro, K. L., Hommel, B., & Schnitzler, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0404944101 · Cited by 582 · see citing works
Structural foundations of resting-state and task-based functional connectivity in the human brain
Hermundstad, A. M., Bassett, D. S., Brown, K., Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Johnson, A., Tipper, C. M., Miller, M. B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219562110 · Cited by 559 · see citing works
Experimental determination of the BOLD field strength dependence in vessels and tissue
Gati, J. S., Menon, R. S., Uǧurbil, K., & Rutt, B. K. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380220 · Cited by 523 · see citing works
Relative blindsight in normal observers and the neural correlate of visual consciousness
Lau, H. C., & Passingham, R. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607716103 · Cited by 518 · cited 3× · see citing works
“Proc Natl Acad Sci USA 111(4):E417–E425.”
BackgroundInfluentialGrissom, R. J., & Kim, J. J. (2012) · doi:10.4324/9780203803233 · Cited by 470 · see citing works
Small‐world properties of nonlinear brain activity in schizophrenia
Rubinov, M., Knock, S. A., Stam, C. J., Micheloyannis, S., Harris, A. W. F., Williams, L. M., & Breakspear, M. J. (2007) · Human Brain Mapping · doi:10.1002/hbm.20517 · Cited by 458 · see citing works
Measuring consciousness: relating behavioural and neurophysiological approaches
Seth, A. K., Dienes, Z., Cleeremans, A., Overgaard, M., & Pessoa, L. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.04.008 · Cited by 458 · cited 1× · see citing works
“Because on each trial, participants made a detection response about the presence or absence of the target followed by a confidence rating on their response, subjects’ performance could be assessed on both an objective (discriminability index d′) and subjective (confidence rating) measure of awareness (36).”
BackgroundNaturalizing consciousness: a theoretical framework.
Edelman, G. M. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0931349100 · Cited by 440 · see citing works
Cognitive fitness of cost-efficient brain functional networks
Bassett, D. S., Bullmore, E. T., Meyer‐Lindenberg, A., Apud, J. A., Weinberger, D. R., & Coppola, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903641106 · Cited by 429 · see citing works
Cognitive effort drives workspace configuration of human brain functional networks
Kitzbichler, M. G., Henson, R. N. A., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0440-11.2011 · Cited by 427 · see citing works
Naghavi, H. R., & Nyberg, L. H. (2004) · Consciousness and Cognition · doi:10.1016/j.concog.2004.10.003 · Cited by 419 · see citing works
Neural correlates of change detection and change blindness
Beck, D. M., Rees, G. E., Frith, C., & Nilli Lavie, C. (2001) · Nature Neuroscience · doi:10.1038/88477 · Cited by 412 · see citing works
Altered resting state complexity in schizophrenia
Bassett, D. S., Nelson, B. G., Mueller, B. A., Camchong, J., & Lim, K. O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.002 · Cited by 412 · see citing works
A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention
Asplund, C. L., Todd, J. J., Snyder, A. P., & Marois, R. (2010) · Nature Neuroscience · doi:10.1038/nn.2509 · Cited by 384 · see citing works
Self-citationEffect Sizes for Research: Univariate and Multivariate Applications
Grissom, R. J., & Kim, J. J. (2005) · Cited by 376 · 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
Neuronal correlates of perception in early visual cortex
Ress, D. B., & Heeger, D. J. (2003) · Nature Neuroscience · doi:10.1038/nn1024 · Cited by 352 · see citing works
Theories and measures of consciousness: An extended framework
Seth, A. K., Izhikevich, E. M., Reeke, G. N., & Edelman, G. M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604347103 · Cited by 320 · see citing works
The Neural Fate of Consciously Perceived and Missed Events in the Attentional Blink
Marois, R., Yi, D.-J., & Chun, M. M. (2004) · Neuron · doi:10.1016/s0896-6273(04)00012-1 · Cited by 306 · see citing works
Self-citationMeasuring information integration
Tononi, G., & Sporns, O. (2003) · BMC Neuroscience · doi:10.1186/1471-2202-4-31 · Cited by 294 · see citing works
Confidence and accuracy of near-threshold discrimination responses
Kunimoto, C., Miller, J., & Pashler, H. (2001) · Consciousness and Cognition · doi:10.1006/ccog.2000.0494 · Cited by 291 · see citing works
The relationship between cortical activation and perception investigated with invisible stimuli
Moutoussis, K., & Zeki, S. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.142305699 · Cited by 290 · see citing works
Covariation of activity in visual and prefrontal cortex associated with subjective visual perception
Lumer, E. D., & Rees, G. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1669 · Cited by 275 · see citing works
Cao, H., Plichta, M. M., Schäfer, A., Haddad, L., Grimm, O., Schneider, M., Esslinger, C., Kirsch, P., Meyer-Lindenberg, A., & Tost, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.013 · Cited by 227 · see citing works
Stevens, A. A., Tappon, S. C., Garg, A., & Fair, D. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030468 · Cited by 212 · see citing works
Visibility Reflects Dynamic Changes of Effective Connectivity between V1 and Fusiform Cortex
Haynes, J., Driver, J., & Rees, G. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.012 · Cited by 198 · see citing works
A comparison of statistical methods for detecting context-modulated functional connectivity in fMRI
Cisler, J. M., Bush, K., & Steele, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.018 · Cited by 194 · see citing works
Weisz, N., Wühle, A., Monittola, G., Demarchi, G., Frey, J. N., Popov, T. G., & Braun, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317267111 · Cited by 188 · see citing works
Brain Network Analysis: Separating Cost from Topology Using Cost-Integration
Ginestet, C. E., Nichols, T. E., Bullmore, E. T., & Simmons, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021570 · Cited by 184 · see citing works
van Gaal, S., & Lamme, V. A. F. (2012) · The Neuroscientist · doi:10.1177/1073858411404079 · Cited by 181 · see citing works
Predicting errors from reconfiguration patterns in human brain networks
Ekman, M., Derrfuß, J., Tittgemeyer, M., & Fiebach, C. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207523109 · Cited by 150 · see citing works
A Stimulus-Driven Approach to Object Identity and Location Processing in the Human Brain
Marois, R., Leung, H., & Gore, J. C. (2000) · Neuron · doi:10.1016/s0896-6273(00)81073-9 · Cited by 144 · see citing works
Self-citationSchröter, M. S., Spoormaker, V. I., Schorer, A., Wohlschläger, A. M., Czisch, M., Kochs, E. F., Zimmer, C., Hemmer, B., Schneider, G. H., Jordan, D., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6046-11.2012 · Cited by 143 · see citing works
Tse, P. U., Martínez‐Conde, S., Schlegel, A. A., & Macknik, S. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508010102 · Cited by 121 · see citing works
Schiller, P. H., & Smith, M. C. (1966) · Journal of Experimental Psychology · doi:10.1037/h0022617 · Cited by 117 · see citing works
Ferri, R., Rundo, F., Bruni, O., Terzano, M. G., & Stam, C. J. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.04.294 · Cited by 105 · see citing works
Zeki, S. (2007) · Progress in brain research · doi:10.1016/s0079-6123(07)68002-9 · Cited by 65 · see citing works
Kim, J., & Horwitz, B. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.10.011 · Cited by 56 · see citing works
Barry, R. L., Strother, S. C., Gatenby, J. C., & Gore, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.086 · Cited by 27 · see citing works
Self-citationMetacontrast and paracontrast: Both photopic and scotopic luminance levels yield monotones
Lefton, L. A., & Newman, Y. (1976) · Bulletin of the Psychonomic Society · doi:10.3758/bf03335191 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Sporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334 · see citing works
Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886 · see citing works
Key, B. (2016) · Animal Sentience · doi:10.51291/2377-7478.1011 · Cited by 318 · see citing works
Insects 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
Quantum effects in the brain: A review
Adams, B., & Petruccione, F. (2020) · AVS Quantum Science · doi:10.1116/1.5135170 · Cited by 80 · see citing works
Liu, X., Lauer, K. K., Ward, B. D., Roberts, C. J., Liu, S., Gollapudy, S., Rohloff, R., Gross, W., Xu, Z., Chen, G., et al. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0477 · Cited by 23 · see citing works
Lebedev, A. V., Nilsson, J., & Lövdén, M. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01260 · Cited by 21 · see citing works
- Authors
- Godwin, D., Barry, R. L., & Marois, R.
- Affiliations
- Department of Psychology,
- Vanderbilt University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-03-10
- Volume
- 112
- Issue
- 12
- Pages
- 3799-3804
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4378398
- OpenAlex
- W2050365551
- Cited by
- 145
- References
- 77
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 6 · 2023: 6 · 2022: 8 · 2021: 11 · 2020: 17 · 2019: 14 · 2018: 22 · 2017: 28 · 2016: 17 · 2015: 5
- FWCI
- 14.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- HHS | National Institutes of Health (P30-EY008126, 5R01EB000461)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- awareness, conscious perception, ultra-high field fMRI
- MeSH terms
- Adolescent, Adult, Algorithms, Awareness, Behavior, Brain Mapping, Consciousness, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Models, Statistical, Young Adult
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