Anesthetic-induced changes in EEG activity: A graph theoretical approach

Eleni Demarchou, Julius Georgiou, Nicoletta Nicolaou, Timothy Constandinou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The dynamic brain networks forming during wakefulness and anesthetic-induced unconsciousness are investigated using time-delayed correlation and graph theoretical measures. Electrical brain activity (EEG) from 10 patients under propofol anesthesia during routine surgery is characterized using the shortest path length, λ, and clustering, c, extracted from time-delayed correlation. An increase in λ and c during anesthesia reveals disruption of long-range connections and emergence of more localized neighborhoods. These changes were not a result of volume conduction, as were based on time-delayed correlation. Our observations are in line with theories of anesthetic action and support the use of graph theoretic measures to study emerging brain networks during wakefulness and anesthesia.

Original languageEnglish
Title of host publicationIEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-48
Number of pages4
ISBN (Electronic)9781479923465
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland
Duration: 22 Oct 201424 Oct 2014

Conference

Conference10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
CountrySwitzerland
CityLausanne
Period22/10/1424/10/14

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  • Cite this

    Demarchou, E., Georgiou, J., Nicolaou, N., & Constandinou, T. (2014). Anesthetic-induced changes in EEG activity: A graph theoretical approach. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings (pp. 45-48). [6981641] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BioCAS.2014.6981641