Evidence map›Paper›PMID 32151601›Full record

ReviewJournal of neuroscience methods2020

Topological portraits of multiscale coordination dynamics.

Mengsen Zhang, William D Kalies, J A Scott Kelso, Emmanuelle Tognoli

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
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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

4 authors at 1 institution in 2 countries.

Mengsen ZhangCenter for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. Electronic address: mengsenz@stanford.edu.
William D KaliesDepartment of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL, USA.
J A Scott KelsoCenter for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, USA; Intelligent System Research Centre, Ulster University, Derry∼Londonderry, Northern Ireland, UK.
Emmanuelle TognoliCenter for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, USA.
Florida Atlantic University · US

Funding

Neuromarkers of Social Coordination: A Dynamical Approach competing renewal forR01MH080838 · NIMH · FLORIDA ATLANTIC UNIVERSITY · PI KELSO, J A SCOTT, TOGNOLI, EMMANUELLE · 2008 to 2018
$3.6M
SCH: INT: Virtual Neuroprosthesis: Restoring Autonomy to People Suffering From NeurotraumaR01EB025819 · NIBIB · FLORIDA ATLANTIC UNIVERSITY · PI DU, E, ENGEBERG, ERIK · 2017 to 2020
$1.8M
The Mathematics of RelatednessR56AG064094 · NIA · FLORIDA ATLANTIC UNIVERSITY · PI BEETLE, CHRISTOPHER, WILLIAMS, CHRISTINE L · 2020 to 2021
$658k
NIA NIH HHS R56 AG064094NIBIB NIH HHS R01 EB025819NIMH NIH HHS R01 MH080838
6 · The paper itself

Abstract

Living systems exhibit complex yet organized behavior on multiple spatiotemporal scales. To investigate the nature of multiscale coordination in living systems, one needs a meaningful and systematic way to quantify the complex dynamics, a challenge in both theoretical and empirical realms. The present work shows how integrating approaches from computational algebraic topology and dynamical systems may help us meet this challenge. In particular, we focus on the application of multiscale topological analysis to coordinated rhythmic processes. First, theoretical arguments are introduced as to why certain topological features and their scale-dependency are highly relevant to understanding complex collective dynamics. Second, we propose a method to capture such dynamically relevant topological information using persistent homology, which allows us to effectively construct a multiscale topological portrait of rhythmic coordination. Finally, the method is put to test in detecting transitions in real data from an experiment of rhythmic coordination in ensembles of interacting humans. The recurrence plots of topological portraits highlight collective transitions in coordination patterns that were elusive to more traditional methods. This sensitivity to collective transitions would be lost if the behavioral dynamics of individuals were treated as separate degrees of freedom instead of constituents of the topology that they collectively forge. Such multiscale topological portraits highlight collective aspects of coordination patterns that are irreducible to properties of individual parts. The present work demonstrates how the analysis of multiscale coordination dynamics can benefit from topological methods, thereby paving the way for further systematic quantification of complex, high-dimensional dynamics in living systems.

Indexed as

Complex systemsCoordination DynamicsMetastabilityOscillatorsTopological data analysis

Identifiers

PMID32151601
PMCPMC7286562
OpenAlexW3009976762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.