Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation

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Smith, Keith and Abásolo, Daniel and Escudero, Javier (2017) Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation. PLoS ONE, 12 (10). e0186164. ISSN 1932-6203 (https://doi.org/10.1371/journal.pone.0186164)

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Abstract

Research into binary network analysis of brain function faces a methodological challenge in selecting an appropriate threshold to binarise edge weights. For EEG phase-based functional connectivity, we test the hypothesis that such binarisation should take into account the complex hierarchical structure found in functional connectivity. We explore the density range suitable for such structure and provide a comparison of state-of-the-art binarisation techniques, the recently proposed Cluster-Span Threshold (CST), minimum spanning trees, efficiency-cost optimisation and union of shortest path graphs, with arbitrary proportional thresholds and weighted networks. We test these techniques on weighted complex hierarchy models by contrasting model realisations with small parametric differences. We also test the robustness of these techniques to random and targeted topological attacks. We find that the CST performs consistenty well in state-of-the-art modelling of EEG network topology, robustness to topological network attacks, and in three real datasets, agreeing with our hypothesis of hierarchical complexity. This provides interesting new evidence into the relevance of considering a large number of edges in EEG functional connectivity research to provide informational density in the topology.

ORCID iDs

Smith, Keith ORCID logoORCID: https://orcid.org/0000-0002-4615-9020, Abásolo, Daniel and Escudero, Javier;
  • Item type:Article
    ID code:87477
    Dates:
    Date
    Event
    20 October 2017
    Published
    26 September 2017
    Accepted
    5 June 2017
    Submitted
    Subjects:Medicine > Biomedical engineering. Electronics. Instrumentation
    Department:UNSPECIFIED
    Depositing user: Pure Administrator
    Date deposited:30 Nov 2023 16:53
    Last modified:11 Nov 2024 14:08
    URI:https://strathprints.strath.ac.uk/id/eprint/87477
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