Two classes of functional connectivity in dynamical processes in networks

被引:8
作者
Voutsa, Venetia [1 ]
Battaglia, Demian [2 ,3 ]
Bracken, Louise J. [5 ]
Brovelli, Andrea [4 ]
Costescu, Julia [5 ]
Diaz Munoz, Mario [6 ]
Fath, Brian D. [7 ,8 ,9 ]
Funk, Andrea [10 ,11 ]
Guirro, Mel [5 ]
Hein, Thomas [10 ,11 ]
Kerschner, Christian [6 ,9 ]
Kimmich, Christian [9 ,12 ]
Lima, Vinicius [2 ,4 ]
Messe, Arnaud [13 ]
Parsons, Anthony J. [5 ]
Perez, John [5 ]
Poppl, Ronald [15 ]
Prell, Christina [14 ]
Recinos, Sonia [10 ]
Shi, Yanhua [9 ]
Tiwari, Shubham [5 ]
Turnbull, Laura [5 ]
Wainwright, John [5 ]
Waxenecker, Harald [9 ]
Huett, Marc-Thorsten [1 ]
机构
[1] Jacobs Univ Bremen, Dept Life Sci & Chem, D-28759 Bremen, Germany
[2] Aix Marseille Univ, Inst Neurosci Syst UMR 1106, INSERM, Marseille, France
[3] Univ Strasbourg, Inst Adv Studies USIAS, F-67083 Strasbourg, France
[4] Aix Marseille Univ, CNRS, Inst Neurosci Timone UMR 7289, Marseille, France
[5] Univ Durham, Dept Geog, Durham DH1 3LE, England
[6] Modul Univ Vienna, Dept Sustainabil Governance & Methods, A-1190 Vienna, Austria
[7] Towson Univ, Dept Biol Sci, Towson, MD 21252 USA
[8] Int Inst Appl Syst Anal, Adv Syst Anal Program, A-2361 Laxenburg, Austria
[9] Masaryk Univ, Dept Environm Studies, Brno 60200, Czech Republic
[10] Univ Nat Resources & Life Sci Vienna BOKU, Inst Hydrobiol & Aquat Ecosyst Management IHG, A-1180 Vienna, Austria
[11] WasserCluster Lunz Biol Stn GmbH, Dr Carl Kupelwieser Promenade 5, A-3293 Lunz Am See, Austria
[12] Inst Adv Studies, Reg Sci & Environm Res, A-1080 Vienna, Austria
[13] Univ Hamburg, Univ Med Ctr Eppendorf, Dept Computat Neurosci, Hamburg, Germany
[14] Univ Groningen, Dept Cultural Geog, NL-9747 AD Groningen, Netherlands
[15] Univ Vienna, Dept Geog & Reg Res, Univ Str 7, A-1010 Vienna, Austria
基金
欧盟地平线“2020”;
关键词
scale-free graphs; modular graphs; random graphs; synchronisation; excitable dynamics; chaotic oscillators; SELECTIVE VISUAL-ATTENTION; METABOLIC-CONTROL ANALYSIS; HYDROLOGIC CONNECTIVITY; LANDSCAPE CONNECTIVITY; CHANNEL NETWORKS; KURAMOTO MODEL; RIVER; SYNCHRONIZATION; BRAIN; CONNECTOME;
D O I
10.1098/rsif.2021.0486
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:26
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