Two classes of functional connectivity in dynamical processes in networks

Author:

Voutsa Venetia1ORCID,Battaglia Demian23,Bracken Louise J.4,Brovelli Andrea5,Costescu Julia4,Díaz Muñoz Mario6,Fath Brian D.789,Funk Andrea1011,Guirro Mel4ORCID,Hein Thomas1011ORCID,Kerschner Christian69,Kimmich Christian912,Lima Vinicius25,Messé Arnaud13ORCID,Parsons Anthony J.4,Perez John4,Pöppl Ronald14,Prell Christina15,Recinos Sonia10,Shi Yanhua9ORCID,Tiwari Shubham4,Turnbull Laura4ORCID,Wainwright John4,Waxenecker Harald9,Hütt Marc-Thorsten1ORCID

Affiliation:

1. Department of Life Sciences and Chemistry, Jacobs University Bremen, 28759 Bremen, Germany

2. Aix-Marseille Université, Inserm, Institut de Neurosciences des Systèmes (UMR 1106), Marseille, France

3. University of Strasbourg Institute for Advanced Studies (USIAS), Strasbourg 67083, France

4. Department of Geography, Durham University, Durham DH1 3LE, UK

5. Aix-Marseille Université, CNRS, Institut de Neurosciences de la Timone (UMR 7289), Marseille, France

6. Department of Sustainability, Governance and Methods, Modul University Vienna, 1190 Vienna, Austria

7. Department of Biological Sciences, Towson University, Towson, Maryland 21252, USA

8. Advancing Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg 2361, Austria

9. Department of Environmental Studies, Masaryk University, 60200 Brno, Czech Republic

10. Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), University of Natural Resources and Life Sciences Vienna (BOKU), 1180 Vienna, Austria

11. WasserCluster Lunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria

12. Regional Science and Environmental Research, Institute for Advanced Studies, 1080 Vienna, Austria

13. Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg University, Germany

14. Department of Geography and Regional Research, University of Vienna, Universitätsstr. 7, 1010 Vienna, Austria

15. Department of Cultural Geography, University of Groningen, 9747 AD, Groningen, The Netherlands

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.

Funder

H2020 Marie Skłodowska-Curie Actions

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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