Publication

Visualization of Multichannel EEG Coherence Networks Based on Community Structure

Ji, C., Maurits, N. M. & Roerdink, J. B. T. M., 2017, 6th International Conference on Complex Networks and Their Applications, Nov 29–Dec 1, Lyon, France. Cherifi, C., Cherifi, H., Karsai, M. & M, M. (eds.). Cham: Springer, p. 583–594 (Studies in Computational Intelligence; vol. 791).

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DOI

An electroencephalography (EEG) coherence network is a representation of functional brain connectivity. However, typical visualizations of coherence networks do not allow an easy embedding of spatial information or suffer from visual clutter, especially for multichannel EEG coherence networks. In this paper, a new method for data-driven visualization of multichannel EEG coherence networks is proposed to avoid the drawbacks of conventional methods. This method partitions electrodes into dense groups of spatially connected regions. It not only preserves spatial relationships between regions, but also allows an analysis of the functional connectivity within and between brain regions, which could be used to explore the relationship between functional connectivity and underlying brain structures. In addition, we employ an example to illustrate the difference between the proposed method and two other data-driven methods when applied to coherence networks in older and younger adults who perform a cognitive task. The proposed method can serve as an preprocessing step before a more detailed analysis of EEG coherence networks.
Original languageEnglish
Title of host publication6th International Conference on Complex Networks and Their Applications, Nov 29–Dec 1, Lyon, France
EditorsC. Cherifi , H. Cherifi , M. Karsai , Musolesi M
Place of PublicationCham
PublisherSpringer
Pages583–594
ISBN (Electronic)978-3-319-72150-7
ISBN (Print)978-3-319-72149-1
Publication statusPublished - 2017
EventCOMPLEX NETWORKS 2017: 6th International Conference on Complex Networks and Their Applications - Lyon, France
Duration: 29-Nov-20171-Dec-2017

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume791
ISSN (Print)1860-949X

Conference

ConferenceCOMPLEX NETWORKS 2017
CountryFrance
CityLyon
Period29/11/201701/12/2017

Event

COMPLEX NETWORKS 2017: 6th International Conference on Complex Networks and Their Applications

29/11/201701/12/2017

Lyon, France

Event: Conference

ID: 66614288