Evidence map›Paper›PMID 30951525›Full record

ArticlePLoS computational biology2019

Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: Continuously varying exponents mimic M/EEG results.

Leonardo Dalla Porta, Mauro Copelli

Abstract read
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Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Hierarchical whole-brain modeling of critical synchronization dynamics in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  2. Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026
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  12. Long-Range Amplitude Coupling Is Optimized for Brain Networks That Function at Criticality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  15. Theoretical foundations of studying criticality in the brain.Network neuroscience (Cambridge, Mass.) · 2022
    Review
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  17. Impact of GABAThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Leonardo Dalla PortaDepartamento de Física, Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil.ORCID 0000-0003-3104-288X
Mauro CopelliDepartamento de Física, Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil.ORCID 0000-0001-7441-2858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We revisit the CROS ("CRitical OScillations") model which was recently proposed as an attempt to reproduce both scale-invariant neuronal avalanches and long-range temporal correlations. With excitatory and inhibitory stochastic neurons locally connected in a two-dimensional disordered network, the model exhibits a transition where alpha-band oscillations emerge. Precisely at the transition, the fluctuations of the network activity have nontrivial detrended fluctuation analysis (DFA) exponents, and avalanches (defined as supra-threshold activity) have power law distributions of size and duration. We show that, differently from previous results, the exponents governing the distributions of avalanche size and duration are not necessarily those of the mean-field directed percolation universality class (3/2 and 2, respectively). Instead, in a narrow region of parameter space, avalanche exponents obtained via a maximum-likelihood estimator vary continuously and follow a linear relation, in good agreement with results obtained from M/EEG data. In that region, moreover, the values of avalanche and DFA exponents display a spread with positive correlations, reproducing human MEG results.

Indexed as

Models, NeurologicalAction PotentialsAlpha RhythmBrainComputational BiologyElectroencephalographyHumansLikelihood FunctionsMagnetoencephalographyNerve NetNeuronsStochastic ProcessesSystems Biology

Identifiers

PMID30951525
PMCPMC6469813

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.