Evidence map›Paper›PMID 33192799›Full record

ArticleFrontiers in psychology2020

Neuronal Avalanches to Study the Coordination of Large-Scale Brain Activity: Application to Rett Syndrome.

Rosaria Rucco, Pia Bernardo, Anna Lardone, Fabio Baselice, Matteo Pesoli, Arianna Polverino, Carmela Bravaccio, Carmine Granata, Laura Mandolesi, Giuseppe Sorrentino and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

11 authors at 7 institutions in 2 countries.

Rosaria RuccoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope," Naples, Italy.
Pia BernardoDepartment of Medical and Translational Science, Child Neuropsychiatry Unit, University of Naples "Federico II," Naples, Italy.
Anna LardoneDepartment of Motor Sciences and Wellness, University of Naples "Parthenope," Naples, Italy.
Fabio BaseliceDepartment of Engineering, University of Naples "Parthenope," Naples, Italy.
Matteo PesoliDepartment of Motor Sciences and Wellness, University of Naples "Parthenope," Naples, Italy.
Arianna PolverinoHermitage Capodimonte Hospital, Naples, Italy.
Carmela BravaccioDepartment of Medical and Translational Science, Child Neuropsychiatry Unit, University of Naples "Federico II," Naples, Italy.
Carmine GranataInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, Italy.
Laura MandolesiDepartment of Humanistic Studies, University of Naples "Federico II," Naples, Italy.
Giuseppe SorrentinoDepartment of Motor Sciences and Wellness, University of Naples "Parthenope," Naples, Italy.
Pierpaolo SorrentinoInstitute of Applied Sciences and Intelligent Systems, National Research Council (CNR), Pozzuoli, Italy.
Parthenope University of Naples · ITNational Research Council · ITUniversity of Naples Federico II · ITAstronomical Observatory of Capodimonte · ITInstitut de Neurosciences des Systèmes · FRInstitute of Applied Science and Intelligent Systems · ITSantobono Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many complex systems, such as the brain, display large-scale coordinated interactions that create ordered patterns. Classically, such patterns have been studied using the framework of criticality, i.e., at a transition point between two qualitatively distinct patterns. This kind of system is generally characterized by a scale-invariant organization, in space and time, optimally described by a power-law distribution whose slope is quantified by an exponent α. The dynamics of these systems is characterized by alternating periods of activations, called avalanches, with quiescent periods. To maximize its efficiency, the system must find a trade-off between its stability and ease of propagation of activation, which is achieved by a branching process. It is quantified by a branching parameter σ defined as the average ratio between the number of activations in consecutive time bins. The brain is itself a complex system and its activity can be described as a series of neuronal avalanches. It is known that critical aspects of brain dynamics are modeled with a branching parameter σ = , and the neuronal avalanches distribution fits well with a power law distribution exponent α = -3/2. The aim of our work was to study a self-organized criticality system in which there was a change in neuronal circuits due to genetic causes. To this end, we have compared the characteristics of neuronal avalanches in a group of 10 patients affected by Rett syndrome, during an open-eye resting-state condition estimated using magnetoencephalography, with respect to 10 healthy subjects. The analysis was performed both in broadband and in the five canonical frequency bands. We found, for both groups, a branching parameter close to 1. In this critical condition, Rett patients show a lower distribution parameter α in the delta and broadband. These results suggest that the large-scale coordination of activity occurs to a lesser extent in RTT patients.

Indexed as

branching processcritical statemagnetoencephalographyneuronal avalanchesRett syndromeself-organized criticality

Identifiers

PMID33192799
PMCPMC7656905
OpenAlexW3094812689

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LicenceCC BY
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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.