Näytä suppeat kuvailutiedot

dc.contributor.authorLiang, Zhenhu
dc.contributor.authorRen, Ye
dc.contributor.authorYan, Jiaqing
dc.contributor.authorLi, Duan
dc.contributor.authorVoss, Logan J.
dc.contributor.authorSleigh, Jamie W.
dc.contributor.authorLi, Xiaoli
dc.date.accessioned2021-02-17T05:54:11Z
dc.date.available2021-02-17T05:54:11Z
dc.date.issued2016
dc.identifier.citationLiang, Z., Ren, Y., Yan, J., Li, D., Voss, L. J., Sleigh, J. W., & Li, X. (2016). A comparison of different synchronization measures in electroencephalogram during propofol anesthesia. <i>Journal of Clinical Monitoring and Computing</i>, <i>30</i>(4), 451-466. <a href="https://doi.org/10.1007/s10877-015-9738-z" target="_blank">https://doi.org/10.1007/s10877-015-9738-z</a>
dc.identifier.otherCONVID_25283819
dc.identifier.otherTUTKAID_67729
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74266
dc.description.abstractElectroencephalogram (EEG) synchronization is becoming an essential tool to describe neurophysiological mechanisms of communication between brain regions under general anesthesia. Different synchronization measures have their own properties to reflect the changes of EEG activities during different anesthetic states. However, the performance characteristics and the relations of different synchronization measures in evaluating synchronization changes during propofol-induced anesthesia are not fully elucidated. Two-channel EEG data from seven volunteers who had undergone a brief standardized propofol anesthesia were then adopted to calculate eight synchronization indexes. We computed the prediction probability (P K ) of synchronization indexes with Bispectral Index (BIS) and propofol effect-site concentration (C eff ) to quantify the ability of the indexes to predict BIS and C eff . Also, box plots and coefficient of variation were used to reflect the different synchronization changes and their robustness to noise in awake, unconscious and recovery states, and the Pearson correlation coefficient (R) was used for assessing the relationship among synchronization measures, BIS and C eff . Permutation cross mutual information (PCMI) and determinism (DET) could predict BIS and follow C eff better than nonlinear interdependence (NI), mutual information based on kernel estimation (KerMI) and cross correlation. Wavelet transform coherence (WTC) in α and β frequency bands followed BIS and C eff better than that in other frequency bands. There was a significant decrease in unconscious state and a significant increase in recovery state for PCMI and NI, while the trends were opposite for KerMI, DET and WTC. Phase synchronization based on phase locking value (PSPLV) in δ, θ, α and γ1 frequency bands dropped significantly in unconscious state, whereas it had no significant synchronization in recovery state. Moreover, PCMI, NI, DET correlated closely with each other and they had a better robustness to noise and higher correlation with BIS and C eff than other synchronization indexes. Propofol caused EEG synchronization changes during the anesthetic period. Different synchronization measures had individual properties in evaluating synchronization changes in different anesthetic states, which might be related to various forms of neural activities and neurophysiological mechanisms under general anesthesia.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer Netherlands; Society for Technology in Anesthesia
dc.relation.ispartofseriesJournal of Clinical Monitoring and Computing
dc.rightsIn Copyright
dc.subject.otherelectroencephalogram
dc.subject.otherloss of consciousness
dc.subject.otherneurophysiological mechanisms
dc.subject.otherpropofol anesthesia
dc.subject.othersynchronization measures
dc.titleA comparison of different synchronization measures in electroencephalogram during propofol anesthesia
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202102161659
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2021-02-16T10:15:05Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange451-466
dc.relation.issn1387-1307
dc.relation.numberinseries4
dc.relation.volume30
dc.type.versionacceptedVersion
dc.rights.copyright© 2015, Springer Science Business Media New York
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/s10877-015-9738-z
dc.type.okmA1


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot

In Copyright
Ellei muuten mainita, aineiston lisenssi on In Copyright