Cited by 237Theoretical and Computational PhysicsNeural dynamics and brain functionComplex Network Analysis Techniques

Criticality between Cortical States

Open access
Fontenele, Antonio J., de Vasconcelos, Nivaldo A. P., Feliciano, Thaís, Aguiar, Leandro A. A., Soares-Cunha, Carina, Coimbra, Bárbara, Dalla Porta, Leonardo, Ribeiro, Sidarta +4 more·2019·Physical Review Letters

Published version of a preprint

Abstract

Since the first measurements of neuronal avalanches, the critical brain hypothesis has gained traction. However, if the brain is critical, what is the phase transition? For several decades, it has been known that the cerebral cortex operates in a diversity of regimes, ranging from highly synchronous states (with higher spiking variability) to desynchronized states (with lower spiking variability). Here, using both new and publicly available data, we test independent signatures of criticality and show that a phase transition occurs in an intermediate value of spiking variability, in both anesthetized and freely moving animals. The critical exponents point to a universality class different from mean-field directed percolation. Importantly, as the cortex hovers around this critical point, the avalanche exponents follow a linear relation that encompasses previous experimental results from different setups and is reproduced by a model.

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  • Hallucinogenic compounds expanded the repertoire of harmonic modes, increasing spectral diversity and shifting the distribution of modes toward power-law distributions.

    “Intriguingly, hallucinogenic compounds expanded the repertoire of these harmonic modes (Atasoy et al., 2017), increasing spectral diversity and shifting the distribution of modes toward power-law distributions, a putative—albeit controversial (Touboul and Destexhe, 2017)—hallmark of criticality (Fontenele et al., 2019).”

    From An Integrated World Modeling Theory (IWMT) of Consciousness (2020) · cites this paper as Fontenele et al., 2019

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Research works printed but not linked: 6

  1. Criticality in Neural Systems, edited by D. Plenz and E. Niebur (Wiley, Weinheim, 2014).
  2. See Supplemental Material at http://link.aps.org/ supplemental/10.1103/PhysRevLett.122.208101 for a de- tailed description of experiments, datasets, data analysis, and model. It includes Refs. [16-21].
  3. G. Paxinos, The Rat Nervous System (Elsevier Academic Press, San Diego 2004).
  4. A. Kohn and M. A. Smith, http://dx.doi.org/10.6080/ K0NC5Z4X (2016). · DOI
  5. J. Wilting and V. Priesemann, Cereb. Cortex, https://doi.org/ 10.1093/cercor/bhz049 (2019). · DOI
  6. A. Pikovsky, M. Rosenblum, and J. Kurths, Synchroniza- tion: A Universal Concept in Nonlinear Sciences (Cambridge University Press, Cambridge, England, 2001).

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Authors
Fontenele, A. J., de Vasconcelos, N. A. P., Feliciano, T., Aguiar, L. A. A., Soares-Cunha, C., Coimbra, B., Dalla Porta, L., Ribeiro, S., Rodrigues, A. J., Sousa, N., Carelli, P. V., & Copelli, M.
Affiliations
  • Universidade Federal de Pernambuco (BR)
  • University of Minho (PT)
  • Universidade Federal do Rio Grande do Norte (BR)
Venue
Physical Review Letters
Published
2019-05-21
Volume
122
Issue
20
Pages
208101-208101
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2951576922
Cited by
237
References
37
Citations by year
2026: 23 · 2025: 30 · 2024: 30 · 2023: 37 · 2022: 39 · 2021: 42 · 2020: 23 · 2019: 12
FWCI
16.79
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Americanae (AECID Library) (submittedVersion, other-oa)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
Funders
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (88887.131435/2016-00, PROEX 534/2018, 23038.003382/2018-39)
  • Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (APQ 0826-1.05/15)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (310712/2014-9, 301744/2018-1, 425329/2018-6, 308775/2015-5, 249991/2013-6, 408145/2016-1)
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (2013/07699-0)
  • Fundação para a Ciência e a Tecnologia (SFRH/BD/51992/2012, SFRH/BD/98675/2013, IF/00883/2013, POCI-01-0145-FEDER-016428)
  • Fundação Bial (30/2016)
  • BIAL (30/2016)
Topics
  • Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
neuronal avalanches, cortical state, phase transitions, critical exponents, universality class, directed percolation, avalanches, cerebral cortex

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