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Signature of consciousness in the dynamics of resting-state brain activity
Open accessAbstract
Significance: What are the origins of resting-state functional connectivity patterns? One dominating view is that they index ongoing cognitive processes. However, this conclusion is in conflict with studies showing that long-range functional connectivity persists after loss of consciousness, possibly reflecting structural connectivity maps. In this work we respond to this question showing that in fact both sources have a clear and separable contribution to resting-state patterns. We show that under anesthesia, the dominating functional configurations have low information capacity and lack negative correlations. Importantly, they are rigid, tied to the anatomical map. Conversely, wakefulness is characterized by the dynamical exploration of a rich, flexible repertoire of functional configurations. These dynamical properties constitute a signature of consciousness.
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“simulations show that the GNW is subject to a continuous stream of stochastic spontaneous activity”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
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“Recent work in non-human primates demonstrates that the functional relationships between critical nodes in the GNW—such as prefrontal, posterior parietal, and cingulate cortices—are stereotypically altered during propofol, sevoflurane, and ketamine anesthesia (Barttfeld et al., 2015; Uhrig et al., 2018).”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
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“This dynamic signature of conscious processing was initially discovered in fMRI studies of awake versus anesthetized monkeys (Barttfeld et al., 2015) and later found to generalize to humans in vegetative or minimally conscious states (Demertzi et al., 2019).”
From Conscious Processing and the Global Neuronal Workspace Hypothesis (2020) · cites this paper as Barttfeld et al., 2015
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“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
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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
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Metadata
- Authors
- Barttfeld, P., Uhrig, L., Sitt, J. D., Sigman, M., Jarraya, B., & Dehaene, S.
- Affiliations
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- Universidad Torcuato Di Tella (AR)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-01-05
- Volume
- 112
- Issue
- 3
- Pages
- 887-892
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4311826
- OpenAlex
- W2094377986
- Cited by
- 670
- References
- 76
- Citations by year
- 2026: 30 · 2025: 72 · 2024: 54 · 2023: 62 · 2022: 63 · 2021: 69 · 2020: 55 · 2019: 53 · 2018: 65 · 2017: 57 · 2016: 57 · 2015: 33
- FWCI
- 42.52
- Type
- journal article
- Language
- en
- Update notices
- correction (2015-08-31)
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
- Funders
- James S. McDonnell Foundation
- Institut National de la Santé et de la Recherche Médicale
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Fondation Roger de Spoelberch
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- consciousness, resting-state brain activity, anesthesia, structural connectivity, small-world property, negative correlation, long-range correlations, wakefulness, monkeys
- MeSH terms
- Animals, Brain, Brain Mapping, Consciousness, Macaca mulatta, Magnetic Resonance Imaging
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