The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans
Open accessAbstract
Neuronal activity differs between wakefulness and sleep states. In contrast, an attractor state, called self-organized critical (SOC), was proposed to govern brain dynamics because it allows for optimal information coding. But is the human brain SOC for each vigilance state despite the variations in neuronal dynamics? We characterized neuronal avalanches--spatiotemporal waves of enhanced activity--from dense intracranial depth recordings in humans. We showed that avalanche distributions closely follow a power law--the hallmark feature of SOC--for each vigilance state. However, avalanches clearly differ with vigilance states: slow wave sleep (SWS) shows large avalanches, wakefulness intermediate, and rapid eye movement (REM) sleep small ones. Our SOC model, together with the data, suggested first that the differences are mediated by global but tiny changes in synaptic strength, and second, that the changes with vigilance states reflect small deviations from criticality to the subcritical regime, implying that the human brain does not operate at criticality proper but close to SOC. Independent of criticality, the analysis confirms that SWS shows increased correlations between cortical areas, and reveals that REM sleep shows more fragmented cortical dynamics.
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Cites
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Sleep function and synaptic homeostasis
Tononi, G., & Cirelli, C. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.05.002 · Cited by 2,151
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
Bertschinger, N., & Natschläger, T. (2004) · Neural Computation · doi:10.1162/089976604323057443 · Cited by 833
A synaptic organizing principle for cortical neuronal groups
Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718 · cited 1×
“Although this SOCM is very simple, it bears similarity to the brain: first, its threshold action resembles the ‘‘integrate and fire’’ mechanism that characterizes neural signal generation, and second, its local connectivity resembles the dominance of local connections in the brain [27,28].”
BackgroundThe Neural Correlates of Consciousness: An Update
Tononi, G., & Koch, C. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.004 · Cited by 627
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On the dynamics of the spontaneous activity in neuronal networks
Mazzoni, A., Broccard, F. D., Garcia-Perez, E., Bonifazi, P., Ruaro, M. E., & Torre, V. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000439 · Cited by 279
Interaction between neocortical and hippocampal networks via slow oscillations
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Cited by
Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00020 · Cited by 1,252
The entropic brain - revisited
Carhart-Harris, R. L. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.03.010 · Cited by 522
Self-organized criticality as a fundamental property of neural systems
Hesse, J., & Gross, T. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00166 · Cited by 440
Power laws and self-organized criticality in theory and nature
Marković, D., & Gros, C. (2014) · Physics Reports · doi:10.1016/j.physrep.2013.11.002 · Cited by 263
How critical is brain criticality?
O’Byrne, J., & Jerbi, K. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.08.007 · Cited by 258
Metadata
- Authors
- Priesemann, V., Valderrama, M., Wibral, M., & Le Van Quyen, M.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-03-21
- Volume
- 9
- Issue
- 3
- Pages
- e1002985
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W1964198552
- Cited by
- 218
- References
- 8
- FWCI
- 7.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Priesemann, V., Valderrama, M., Wibral, M., & Le Van Quyen, M. (2013). Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1002985
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