Evidence map›Paper›PMID 36964158›Full record

ArticleScientific reports2023

Recurrent activity in neuronal avalanches.

Tyler Salners, Karina E Avila, Benjamin Nicholson, Christopher R Myers, John Beggs, Karin A Dahmen

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tyler SalnersDepartment of Physics, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA. salners2@illinois.edu.
Karina E AvilaPhysics Department, University Kaiserslautern, Erwin-Schrödinger-Straße, 67663, Kaiserslautern, Germany.
Benjamin NicholsonLaboratory of Atomic and Solid State Physics, Clark Hall, Cornell University, Ithaca, NY, 14853-2501, USA.
Christopher R MyersLaboratory of Atomic and Solid State Physics, Clark Hall, Cornell University, Ithaca, NY, 14853-2501, USA.
John BeggsDepartment of Physics, Indiana University, Bloomington, IN, 47405, USA.
Karin A DahmenDepartment of Physics, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new statistical analysis of large neuronal avalanches observed in mouse and rat brain tissues reveals a substantial degree of recurrent activity and cyclic patterns of activation not seen in smaller avalanches. To explain these observations, we adapted a model of structural weakening in materials. In this model, dynamical weakening of neuron firing thresholds closely replicates experimental avalanche size distributions, firing number distributions, and patterns of cyclic activity. This agreement between model and data suggests that a mechanism like dynamical weakening plays a key role in recurrent activity found in large neuronal avalanches. We expect these results to illuminate the causes and dynamics of large avalanches, like those seen in seizures.

Indexed as

AvalanchesModels, NeurologicalAction PotentialsAnimalsMiceNerve NetNeuronsRats

Identifiers

PMID36964158
PMCPMC10039060

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Registered trials

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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.