Evidence map›Paper›PMID 36937094›Full record

ArticlePhysica A2022

Exact solution for the Anisotropic Ornstein-Uhlenbeck process.

Rita M C de Almeida, Guilherme S Y Giardini, Mendeli Vainstein, James A Glazier, Gilberto L Thomas

Abstract read
In one paragraph

Article in Physica A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Rita M C de AlmeidaInstituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Guilherme S Y GiardiniInstituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Mendeli VainsteinInstituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
James A GlazierBiocomplexity Institute and Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, United States of America.
Gilberto L ThomasInstituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.

Funding

Competitive Renewal of Development, Improvement and Extension of the Tissue Simulation Environment - CompuCell3DR01GM122424 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER · 2017 to 2020
$1.7M
Dissemination of libRoadRunner and CompuCell3DU24EB028887 · NIBIB · UNIVERSITY OF WASHINGTON · PI GLAZIER, JAMES ALEXANDER, SAURO, HERBERT M. · 2019 to 2023
$1.5M
NIBIB NIH HHS U24 EB028887NIGMS NIH HHS R01 GM122424
6 · The paper itself

Abstract

Active-Matter models commonly consider particles with overdamped dynamics subject to a force (speed) with constant modulus and random direction. Some models also include random noise in particle displacement (a Wiener process), resulting in diffusive motion at short time scales. On the other hand, Ornstein-Uhlenbeck processes apply Langevin dynamics to the particles' velocity and predict motion that is not diffusive at short time scales. Experiments show that migrating cells have gradually varying speeds at intermediate and long time scales, with short-time diffusive behavior. While Ornstein-Uhlenbeck processes can describe the moderate-and long-time speed variation, Active-Matter models for over-damped particles can explain the short-time diffusive behavior. Isotropic models cannot explain both regimes, because short-time diffusion renders instantaneous velocity ill-defined, and prevents the use of dynamical equations that require velocity time-derivatives. On the other hand, both models correctly describe some of the different temporal regimes seen in migrating biological cells and must, in the appropriate limit, yield the same observable predictions. Here we propose and solve analytically an Anisotropic Ornstein-Uhlenbeck process for polarized particles, with Langevin dynamics governing the particle's movement in the polarization direction and a Wiener process governing displacement in the orthogonal direction. Our characterization provides a theoretically robust way to compare movement in dimensionless simulations to movement in experiments in which measurements have meaningful space and time units. We also propose an approach to deal with inevitable finite-precision effects in experiments and simulations.

Indexed as

Anisotropic persistent random walkModified Fürth equationOrnstein–Uhlenbeck process

Identifiers

PMID36937094
PMCPMC10022481

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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.