Visualizing and exploring dynamic multichannel EEG coherence networks

C. Ji, J. J.Gronde van De, N. M. Maurits, J. B.T.M. Roerdink

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of coherence networks can provide insight into unexpected patterns of cognitive processing and help neuroscientists to understand brain mechanisms. However, visualizing dynamic EEG coherence networks is a challenge for the analysis of brain connectivity, especially when the spatial structure of the network needs to be taken into account. In this paper, we present a design and implementation of a visualization framework for such dynamic networks. First, requirements for supporting typical tasks in the context of dynamic functional connectivity network analysis were collected from neuroscience researchers. In our design, we consider groups of network nodes and their corresponding spatial location for visualizing the evolution of the dynamic coherence network. We introduce an augmented timeline-based representation to provide an overview of the evolution of functional units (FUs) and their spatial location over time. This representation can help the viewer to identify relations between functional connectivity and brain regions, as well as to identify persistent or transient functional connectivity patterns across the whole timewindow. In addition, we modified the FU map representation to facilitate comparison of the behavior of nodes between consecutive FU maps. Our implementation also supports interactive exploration. The usefulness of our visualization design was evaluated by an informal user study. The feedback we received shows that our design supports exploratory analysis tasks well. The method can serve as an preprocessing step before a complete analysis of dynamic EEG coherence networks.

Original languageEnglish
Title of host publicationVCBM 2017 - Eurographics Workshop on Visual Computing for Biology and Medicine
PublisherEurographics Association
Pages63-72
Number of pages10
ISBN (Electronic)9783038680369
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event2017 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2017 - Bremen, Germany
Duration: 7 Sept 20178 Sept 2017

Publication series

NameVCBM 2017 - Eurographics Workshop on Visual Computing for Biology and Medicine

Conference

Conference2017 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2017
Country/TerritoryGermany
CityBremen
Period7/09/178/09/17

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