Validation of a new approach for distinguishing anesthetized from awake state in patients using directed transfer function applied to raw EEG.
We test whether a measure based on the directed transfer function (DTF) calculated from short segments of electroencephalography (EEG) time-series can be used to monitor the state of the patients also during sevoflurane anesthesia as it can for patients undergoing propofol anesthesia. We collected a...
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 35; no. 6; pp. 1381 - 1395 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153186666&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153186666 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Dec2021 vid: 35 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 153186666 146504397 153186666 NLM33064257 153186666 10.1007/s10877-020-00603-x NLM33064257 153186666 ppf: 1381 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Validation of a new approach for distinguishing anesthetized from awake state in patients using directed transfer function applied to raw EEG. aug: au: Juel, Bjørn E. Romundstad, Luis Storm, Johan F. Larsson, Pål G. affil: Brain Signaling Group, Institute of Basic Medical Science, University of Oslo, Oslo, Norway sug: subj: Wakefulness Propofol Female Electroencephalography Middle Age Anesthesia, General Adult Short Portable Mental Status Questionnaire Questionnaires Funding Source Middle Aged: 45-64 years Adult: 19-44 years Female ab: We test whether a measure based on the directed transfer function (DTF) calculated from short segments of electroencephalography (EEG) time-series can be used to monitor the state of the patients also during sevoflurane anesthesia as it can for patients undergoing propofol anesthesia. We collected and analyzed 25-channel EEG from 7 patients (3 females, ages 41-56 years) undergoing surgical anesthesia with sevoflurane, and quantified the sensor space directed connectivity for every 1-s epoch using DTF. The resulting connectivity parameters were compared to corresponding parameters from our previous study (n = 8, patients anesthetized with propofol and remifentanil, but otherwise using a similar protocol). Statistical comparisons between and within studies were done using permutation statistics, a data driven algorithm based on the DTF-parameters was employed to classify the epochs as coming from awake or anesthetized state. According to results of the permutation tests, DTF-parameter topographies were significantly different between the awake and anesthesia state at the group level. However, the topographies were not significantly different when comparing results computed from sevoflurane and propofol data, neither in the awake nor in anesthetized state. Optimizing the algorithm for simultaneously having high sensitivity and specificity in classification yielded an accuracy of 95.1% (SE = 0.96%), with sensitivity of 98.4% (SE = 0.80%) and specificity of 94.8% (SE = 0.10%). These findings indicate that the DTF changes in a similar manner when humans undergo general anesthesia caused by two distinct anesthetic agents with different molecular mechanisms of action. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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