Evidence map›Paper›PMID 34354220›Full record

ArticleScientific reports2021

Box scaling as a proxy of finite size correlations.

Daniel A Martin, Tiago L Ribeiro, Sergio A Cannas, Tomas S Grigera, Dietmar Plenz, Dante R Chialvo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

6 authors.

Daniel A MartinInstituto de Ciencias Físicas (ICIFI-CONICET), Center for Complex Systems and Brain Sciences (CEMSC3), Escuela de Ciencia y Tecnología, Universidad Nacional de Gral. San Martín, Campus Miguelete, 25 de Mayo y Francia, 1650, San Martín, Buenos Aires, Argentina. danielalejandromartin@gmail.com.
Tiago L RibeiroSection on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
Sergio A CannasInstituto de Física Enrique Gaviola (IFEG-CONICET), Facultad de Matemática Astronomía Física y Computación, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina.
Tomas S GrigeraInstituto de Física de Líquidos y Sistemas Biológicos (IFLySiB-CONICET), Universidad Nacional de La Plata, 1900, La Plata, Buenos Aires, Argentina.
Dietmar PlenzSection on Critical Brain Dynamics, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, 20892, USA.
Dante R ChialvoInstituto de Ciencias Físicas (ICIFI-CONICET), Center for Complex Systems and Brain Sciences (CEMSC3), Escuela de Ciencia y Tecnología, Universidad Nacional de Gral. San Martín, Campus Miguelete, 25 de Mayo y Francia, 1650, San Martín, Buenos Aires, Argentina.

Funding

Neuronal Avalanches in the NeocortexZIAMH002797 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PLENZ, DIETMAR · 2009 to 2025
$32.3M
Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI BABADI, BEHTASH, CHIALVO, DANTE R · 2018 to 2022
$17.3M
BRAIN project (Plenz): Readout and Control of Spatiotemporal Neuronal Codes of BehaviorZIAMH002971 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PLENZ, DIETMAR · 2019 to 2023
$882k
Intramural NIH HHS ZIA MH002797NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

The scaling of correlations as a function of size provides important hints to understand critical phenomena on a variety of systems. Its study in biological structures offers two challenges: usually they are not of infinite size, and, in the majority of cases, dimensions can not be varied at will. Here we discuss how finite-size scaling can be approximated in an experimental system of fixed and relatively small extent, by computing correlations inside of a reduced field of view of various widths (we will refer to this procedure as "box-scaling"). A relation among the size of the field of view, and measured correlation length, is derived at, and away from, the critical regime. Numerical simulations of a neuronal network, as well as the ferromagnetic 2D Ising model, are used to verify such approximations. Numerical results support the validity of the heuristic approach, which should be useful to characterize relevant aspects of critical phenomena in biological systems.

Indexed as

Computational BiologyModels, StatisticalModels, TheoreticalMultidimensional Scaling AnalysisResearch Design

Identifiers

PMID34354220
PMCPMC8342522

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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.