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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
In the citing paper
“As previously demonstrated in rats (Bettinardi et al. 2015) and monkeys (Barttfeld et al. 2015), modulating the depth of anesthesia correlates with changes in BOLD variability and reduces the overall connectivity strength.”
From Dysfunctional Autism Risk Genes Cause Circuit-Specific Connectivity Deficits With Distinct Developmental Trajectories (2018) · cites this paper as Barttfeld et al. 2015
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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
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Noreika, V., Canales‐Johnson, A., Johnson, A., Arnatkevičiūtė, A., Koh, J., Chennu, S., & Bekinschtein, T. A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/155705 · Cited by 12
Türker, B., Belloli, L. M. L., Owen, A. M., Naçi, L., & Sitt, J. D. (2023) · Scientific Reports · doi:10.1038/s41598-023-48656-7 · Cited by 13
Self-citationTreves, I. N., Yang, W. F. Z., Sparby, T., & Sacchet, M. D. (2024) · Network Neuroscience · doi:10.1162/netn_a_00432 · Cited by 13
Chen, R., Singh, M. F., Braver, T. S., & Ching, S. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00442 · Cited by 13
Effect of Anesthetics on Functional Connectivity of Developing Brain
Chen, X., Zheng, X., Cai, J., Yang, X., Lin, Y., Wu, M., Deng, X., & Peng, Y. G. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.853816 · Cited by 10
Toscano, F. S., Galadí, J. A., Escrichs, A., Perl, Y. S., López‐González, A., Sitt, J. D., Annen, J., Gosseries, O., Thibaut, A., Panda, R., et al. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010412 · Cited by 10
Self-citationGamez, D. (2018) · Open Book Publishers · doi:10.11647/obp.0107.11 · Cited by 10
Luppi, A. I., Uhrig, L., Tasserie, J., Signorelli, C. M., Stamatakis, E. A., Alain Destexhe, A., Jarraya, B., & Cofré, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.30.547281 · Cited by 10
Self-citationWhat anaesthesia reveals about human brains and consciousness
Luppi, A. I. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01860-5 · Cited by 10
Madden, D. J., Merenstein, J. L., Mullin, H. A., Jain, S., Rudolph, M. D., & Cohen, J. R. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02807-2 · Cited by 12
Pourmotabbed, H., Martin, C. G., Goodale, S. E., Doss, D. J., Wang, S., Bayrak, R. G., Kang, H., Morgan, V. L., Englot, D. J., & Chang, C. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.91 · Cited by 10
Detection of EEG dynamic complex patterns in disorders of consciousness
Bella, G. A. D., Zang, D., Gui, P., Mateos, D. M., Sitt, J. D., Bekinschtein, T. A., Manasova, D., Sarton, B., Ferré, F., Silva, S., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08666-9 · Cited by 12
Self-citationSimilar destabilization of neural dynamics under different general anesthetics
Eisen, A. J., Bardon, A. G., Ballesteros, J. J., Bastos, A. M., Donoghue, J., Mahnke, M. K., Brincat, S. L., Roy, J. E., Ishizawa, Y., Brown, E. N., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117048 · Cited by 8
Giacometti, C., Amiez, C., & Hadj‐Bouziane, F. (2023) · Current Research in Neurobiology · doi:10.1016/j.crneur.2023.100103 · Cited by 8
Dynamic Computation in Visual Thalamocortical Networks
Moyal, R., & Edelman, S. (2019) · Entropy · doi:10.3390/e21050500 · Cited by 8
Lee, Y., Yoo, K., Roh, J. H., Moon, W., & Jeong, Y. (2019) · Brain Topography · doi:10.1007/s10548-019-00719-7 · Cited by 9
Chen, Y., Zhang, Z.-K., Yong He, A., & Zhou, C. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa060 · Cited by 11
Rokos, A., Mišić, B., Berkun, K., Duclos, C., Tarnal, V., Janke, E., Picton, P., Golmirzaie, G., Basner, M., Avidan, M. S., et al. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.706693 · Cited by 8
Chen, D., Liu, M., Shen, Z., Zhao, X., Wang, Q., & Zhang, L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43993-3_6 · Cited by 9
Dynamical Signatures of Structural Connectivity Damage to a Model of the Brain Posed at Criticality
Haimovici, A., Balenzuela, P., & Tagliazucchi, E. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0455 · Cited by 9
Grigis, A., Gomez, C., Tasserie, J., Ambroise, C., Frouin, V., Jarraya, B., & Uhrig, L. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.11.078535 · Cited by 9
Self-citationAttentional brain rhythms during prolonged cognitive activityPreprint
Gaillard, C., Sousa, C. D., Amengual, J. L., Loriette, C., Ziane, C., Hamed, S. B., Bello, F. D., & Hamed, S. B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.26.445730 · Cited by 9
Gatica, M., Atkinson-Clément, C., Mediano, P. A. M., Alkhawashki, M., Ross, J., Sallet, J., & Kaiser, M. (2024) · Network Neuroscience · doi:10.1162/netn_a_00388 · Cited by 8
DySCo: A general framework for dynamic functional connectivity
de Alteriis, G., Sherwood, O., Ciaramella, A., Leech, R., Cabral, J., Turkheimer, F., & Expert, P. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012795 · Cited by 10
Neural models for detection and classification of brain states and transitions
Marin‐Llobet, A., Manasanch, A., Porta, L. D., Torao‐Angosto, M., & Sanchez-Vives, M. V. (2025) · Communications Biology · doi:10.1038/s42003-025-07991-3 · Cited by 8
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Alnagger, N., Cardone, P., Martial, C., Perl, Y. S., Mindlin, I., Sitt, J. D., Roseman, L., Carhart-Harris, R. L., Nutt, D., Mallaroni, P., et al. (2025) · Advanced Science · doi:10.1002/advs.202511780 · Cited by 8
Self-citationZheng, Y., Wu, Y., Liu, Y., Li, D., Liang, X., Chen, Y., Zhang, H., Guo, Y. H., Lu, R., Wang, J., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1152332 · Cited by 9
Qiu, G., 安徽医科大学第一附属医院麻醉科, 安. 合., Peng, L.-J., Wang, P., Yang, Z., Zhang, J., Liu, H., Zhu, X., Jin, R., Liu, X., et al. (2023) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2023.302 · Cited by 7
Golkowski, D., Willnecker, R., Roesler, J., Ranft, A., Schneider, G. H., Jordan, D., & Ilg, R. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.625919 · Cited by 9
A mixed-modeling framework for whole-brain dynamic network analysis
Bahrami, M., Laurienti, P. J., Shappell, H. M., Dagenbach, D., & Simpson, S. L. (2022) · Network Neuroscience · doi:10.1162/netn_a_00238 · Cited by 8
Functional brain activity is highly associated with cortical myelination in neonates
Huang, Z., Gao, W., Wu, Z., Li, G., & Nie, J. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac321 · Cited by 9
McFadden, J. (2023) · Entropy · doi:10.3390/e25121635 · Cited by 10
Qiao, L., Luo, X., Zhang, L., Chen, A., Li, H., & Qiu, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-76211-1 · Cited by 7
Towards new concepts for a biological neuroscience of consciousnessPreprint
Signorelli, C. M., & Meling, D. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/pcmj9 · Cited by 9
Vohryzek, J., Luppi, A. I., Atasoy, S., Deco, G., Timmermann, C., Carhart-Harris, R. L., & Kringelbach, M. L. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.30.596410 · Cited by 8
Highways of the brain, traffic of the mind
Mashour, G. A. (2018) · Anesthesiology · doi:10.1097/aln.0000000000002385 · Cited by 7
Human and Machine Consciousness
Gamez, D. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.11647/obp.0107 · Cited by 39
Frequency specific co-activation pattern analysis via sparse nonnegative tensor decomposition
Hu, G., Wang, D., Luo, S., Hao, Y., Nickerson, L. D. H., & Cong, F. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109299 · Cited by 7
Frequency- and state-dependent dynamics of EEG microstates during propofol anesthesia
Zhang, Y., Wang, H., Yan, F., Song, D., Wang, Q., Wang, Y., & Huang, L. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121159 · Cited by 7
Measuring Consciousness Through Imaging
Perri, C. D., Annen, J., Antonopoulos, G., Amico, E., Cavaliere, C., & Laureys, S. (2015) · Springer eBooks · doi:10.1007/978-3-319-21425-2_5 · Cited by 7
Prenatal stress dysregulates resting-state functional connectivity and sensory motifs
Rezaei, Z., Jafari, Z., Afrashteh, N., Torabi, R., Singh, S., Kolb, B. E., Davidsen, J., & Mohajerani, M. H. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100345 · Cited by 9
Wang, W., Du, R., Wang, Z., Luo, X., Zhao, H., Luan, P., Ouyang, J., & Liu, S. (2023) · Brain‐X · doi:10.1002/brx2.35 · Cited by 7
Intrinsic Brain Activity and Consciousness
Athena Demertzi, A., & Whitfield, S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800948-2.00006-6 · Cited by 9
Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity
Grigis, A., Gomez, C., Frouin, V., Uhrig, L., & Jarraya, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-16431-6_25 · Cited by 7
Self-citationPanda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., Cecconi, B., Escrichs, A., GIGA group Collaborators, Deco, G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.08.467694 · Cited by 7
A Synergistic Workspace for Human Consciousness Revealed by Integrated Information DecompositionPreprint
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.88173.1 · Cited by 7
Luppi, A. I., Golkowski, D., Ranft, A., Ilg, R., Jordan, D., Bzdok, D., Owen, A. M., Naçi, L., Stamatakis, E. A., Amico, E., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.08.566332 · Cited by 7
Distinct dynamic connectivity profiles promote enhanced conscious perception of auditory stimuli
Türker, B., Manasova, D., Béranger, B., Naccache, L., Sergent, C., & Sitt, J. D. (2024) · Communications Biology · doi:10.1038/s42003-024-06533-7 · Cited by 7
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Tong, Z., Xing, C., Xu, X., Xǔ, J., Wu, Y., Salvi, R., Yin, X., Zhao, F., Chen, Y., & Cai, Y. (2025) · MedComm · doi:10.1002/mco2.70002 · Cited by 6
Cognitive control and consciousness in open biological systems
Kriete, A. (2025) · Biosystems · doi:10.1016/j.biosystems.2025.105457 · Cited by 7
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Coppola, P. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106333 · Cited by 6
Midline EEG Functional Connectivity As Biomarker for Conscious States in Sleep and Wakefulness
S., A. A., & Ramakrishnan, A. G. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630907 · Cited by 6
Li, S., Chen, Y., Ren, P., Li, Z., Zhang, J., & Liang, X. (2022) · Human Brain Mapping · doi:10.1002/hbm.26103 · Cited by 6
Consciousness as an intelligent complex adaptive system: A neuroanthropological perspective
Laughlin, C. D. (2023) · Anthropology of Consciousness · doi:10.1111/anoc.12213 · Cited by 6
Cortical neuronal assemblies coordinate with EEG microstate dynamics during resting wakefulness
Boyce, R., Dard, R. F., & Cossart, R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112053 · Cited by 6
Kafashan, M., Palanca, B. J. A., & Ching, S. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.09.013 · Cited by 6
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) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/391094 · Cited by 7
Mortaheb, S., Calster, L. V., Raimondo, F., Klados, M. A., Boulakis, P. A., Georgoula, K., Majerus, S., Ville, D. V. D., & Athena Demertzi, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.10.443428 · Cited by 6
Castro, P., Luppi, A. I., Tagliazucchi, E., Perl, Y. S., Naçi, L., Owen, A. M., Sitt, J. D., Alain Destexhe, A., & Cofré, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.19.572402 · Cited by 6
Self-citationMaldegem, M. V., Vohryzek, J., Atasoy, S., Alnagger, N., Cardone, P., Bonhomme, V. L., Vanhaudenhuyse, A., Athena Demertzi, A., Jaquet, O., Bahri, M. A., et al. (2025) · British Journal of Anaesthesia · doi:10.1016/j.bja.2024.12.036 · Cited by 9
Zhao, Y., Wang, A., Zhao, W., Hu, N., Laureys, S., & Di, H. (2025) · Brain Sciences · doi:10.3390/brainsci15040377 · Cited by 5
Wu, H., Huang, X., Lin, D., Liao, Z., Chen, Z., Zhong, H., Xu, C., Jiang, L., Xu, N., Yang, L., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121329 · Cited by 5
Ray, S., Kalsi, N., Boecker, H., Upadhyay, N., & Panda, R. (2025) · npj Systems Biology and Applications · doi:10.1038/s41540-025-00574-2 · Cited by 5
Biological substrates of structure-function coupling in brain networks
Fotiadis, P., Arnsten, A. F. T., Parkes, L., Satterthwaite, T. D., Shinohara, R. T., & Bassett, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106581 · Cited by 5
Luppi, A. I., Uhrig, L., Tasserie, J., Mediano, P. A. M., Rosas, F. E., Singleton, S. P., Gutierrez‐Barragan, D., Gini, S., Castro, P., Signorelli, C. M., et al. (2026) · Nature Human Behaviour · doi:10.1038/s41562-025-02381-5 · Cited by 7
Self-citationZhou, J., Zhu, H., Wang, J., & Sun, J. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3276896 · Cited by 5
Gomez, C., Uhrig, L., Frouin, V., Duchesnay, É., Jarraya, B., & Grigis, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-76695-1 · Cited by 5
Self-citationContent–state dimensions characterize different types of neuronal markers of consciousness
Pérez, P., Manasova, D., Hermann, B., Raimondo, F., Rohaut, B., Bekinschtein, T. A., Naccache, L., Arzi, A., & Sitt, J. D. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae027 · Cited by 8
Self-citationDetecting rs ‐ fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability
Medina, J. P., Stanziano, M., D’Incerti, L., Sattin, D., Ferraro, S., Sebastiano, D. R., Magnani, F. G., Deruti, A., Fedeli, D., Minati, L., et al. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70094 · Cited by 5
Mayner, W. G. P., Marshall, W., Billeh, Y. N., Gandhi, S. R., Caldejon, S., Cho, A., Griffin, F., Hancock, N., Lambert, S., Lee, E., et al. (2022) · eNeuro · doi:10.1523/eneuro.0280-21.2021 · Cited by 9
Investigating dynamic causal network with unified Granger causality analysis
Li, F., Cheng, M., Chu, L., Zhang, Y., Zhao, X., Lin, Q., & Hu, Z. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109720 · Cited by 5
Brain-wide dynamic coactivation states code for hand movements in the resting state
Zhang, L., Pini, L., Shulman, G. L., & Corbetta, M. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2415508122 · Cited by 5
Can Biological Quantum Networks Solve NP‐Hard Problems?
Wendin, G. P. (2019) · Advanced Quantum Technologies · doi:10.1002/qute.201800081 · Cited by 5
Schwartz, R., Rozier, C., Malkinson, T. S., Lehongre, K., Adam, C., Lambrecq, V., Navarro, V., Naccache, L., & Axelrod, V. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab033 · Cited by 6
A graph network model for neural connection prediction and connection strength estimation
Yuan, Y., Liu, J., Zhao, P., Wang, W., Gu, X., Rong, Y., Lai, T., Chen, Y., Xin, K., Niu, X., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac69bd · Cited by 5
Activation network improves spatiotemporal modelling of human brain communication processes
Liu, X., Wang, Z., Liu, S., Gong, L., Valdes-Sosa, P. A., Becker, B., Jung, T., Dai, X., & Wan, F. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120472 · Cited by 5
Griffa, A., Mach, M., Dedelley, J., Gutierrez‐Barragan, D., Gozzi, A., Allali, G., Grandjean, J., Ville, D. V. D., & Amico, E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.09.491115 · Cited by 5
A Synergistic Workspace for Human Consciousness Revealed by Integrated Information DecompositionPreprint
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. (2024) · eLife · doi:10.7554/elife.88173.3 · Cited by 5
Apablaza-Yevenes, D. E., Corsi‐Cabrera, M., Martínez-Guerrero, A., Northoff, G., Romaniello, C., Farinelli, M., Bertoletti, E., Müller, M., & Muñoz‐Torres, Z. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300075 · Cited by 4
Fotiadis, P., McKinstry-Wu, A. R., Weinstein, S. M., Cook, P. A., Elliott, M., Cieslak, M., Duda, J., Satterthwaite, T. D., Shinohara, R. T., Proekt, A., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08577-9 · Cited by 5
Hutt, A. (2019) · Archives of Neuroscience · doi:10.5812/ans.95498 · Cited by 4
A Brief History of Wires in the Brain
Cobb, M. A. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.760269 · Cited by 7
Vohryzek, J., Luppi, A. I., Atasoy, S., Deco, G., Carhart-Harris, R. L., Timmermann, C., & Kringelbach, M. L. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02190-4 · Cited by 12
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Wilsenach, J., Deane, C. M., Reinert, G., & Warnaby, C. E. (2025) · Network Neuroscience · doi:10.1162/netn.a.27 · Cited by 3
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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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