Two classes of functional connectivity in dynamical processes in networks

  • Venetia Voutsa
  • Demian Battaglia
  • Louise J. Bracken
  • Andrea Brovelli
  • Julia Costescu
  • Mario Díaz Muñoz
  • Brian D. Fath
  • Andrea Funk
  • Mel Guirro
  • Thomas Hein
  • Christian Kerschner
  • Christian Kimmich
  • Vinicius Lima
  • Arnaud Messé
  • Anthony J. Parsons
  • John Perez
  • Ronald Pöppl
  • Christina Prell
  • Sonia Recinos
  • Yanhua Shi
  • Shubham Tiwari
  • Laura Turnbull
  • John Wainwright
  • Harald Waxenecker
  • Marc Thorsten Hütt

Abstract

The relationship between network structure and dynamics is one of the most extensively investigated problems in the theory of complex systems of recent years. Understanding this relationship is of relevance to a range of disciplines - from neuroscience to geomorphology. A major strategy of investigating this relationship is the quantitative comparison of a representation of network architecture (structural connectivity, SC) with a (network) representation of the dynamics (functional connectivity, FC). Here, we show that one can distinguish two classes of functional connectivity - one based on simultaneous activity (co-activity) of nodes, the other based on sequential activity of nodes. We delineate these two classes in different categories of dynamical processes - excitations, regular and chaotic oscillators - and provide examples for SC/FC correlations of both classes in each of these models. We expand the theoretical view of the SC/FC relationships, with conceptual instances of the SC and the two classes of FC for various application scenarios in geomorphology, ecology, systems biology, neuroscience and socio-ecological systems. Seeing the organisation of dynamical processes in a network either as governed by co-activity or by sequential activity allows us to bring some order in the myriad of observations relating structure and function of complex networks.

Bibliographical data

Original languageEnglish
Article number20210486
ISSN1742-5689
DOIs
Publication statusPublished - 01.10.2021

Comment Deanary

Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 859937.

Publisher Copyright:
© 2021 The Authors.