Literature DB >> 25233374

Effects of sevoflurane and propofol on frontal electroencephalogram power and coherence.

Oluwaseun Akeju1, M Brandon Westover, Kara J Pavone, Aaron L Sampson, Katharine E Hartnack, Emery N Brown, Patrick L Purdon.   

Abstract

BACKGROUND: The neural mechanisms of anesthetic vapors have not been studied in depth. However, modeling and experimental studies on the intravenous anesthetic propofol indicate that potentiation of γ-aminobutyric acid receptors leads to a state of thalamocortical synchrony, observed as coherent frontal alpha oscillations, associated with unconsciousness. Sevoflurane, an ether derivative, also potentiates γ-aminobutyric acid receptors. However, in humans, sevoflurane-induced coherent frontal alpha oscillations have not been well detailed.
METHODS: To study the electroencephalogram dynamics induced by sevoflurane, the authors identified age- and sex-matched patients in which sevoflurane (n = 30) or propofol (n = 30) was used as the sole agent for maintenance of general anesthesia during routine surgery. The authors compared the electroencephalogram signatures of sevoflurane with that of propofol using time-varying spectral and coherence methods.
RESULTS: Sevoflurane general anesthesia is characterized by alpha oscillations with maximum power and coherence at approximately 10 Hz, (mean ± SD; peak power, 4.3 ± 3.5 dB; peak coherence, 0.73 ± 0.1). These alpha oscillations are similar to those observed during propofol general anesthesia, which also has maximum power and coherence at approximately 10 Hz (peak power, 2.1 ± 4.3 dB; peak coherence, 0.71 ± 0.1). However, sevoflurane also exhibited a distinct theta coherence signature (peak frequency, 4.9 ± 0.6 Hz; peak coherence, 0.58 ± 0.1). Slow oscillations were observed in both cases, with no significant difference in power or coherence.
CONCLUSIONS: The study results indicate that sevoflurane, like propofol, induces coherent frontal alpha oscillations and slow oscillations in humans to sustain the anesthesia-induced unconscious state. These results suggest a shared molecular and systems-level mechanism for the unconscious state induced by these drugs.

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Year:  2014        PMID: 25233374      PMCID: PMC4206606          DOI: 10.1097/ALN.0000000000000436

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  31 in total

1.  Thalamocortical model for a propofol-induced alpha-rhythm associated with loss of consciousness.

Authors:  Shinung Ching; Aylin Cimenser; Patrick L Purdon; Emery N Brown; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-13       Impact factor: 11.205

Review 2.  Rhythmic and dysrhythmic thalamocortical dynamics: GABA systems and the edge effect.

Authors:  Rodolfo Llinás; Francisco J Urbano; Elena Leznik; Rey R Ramírez; Hein J F van Marle
Journal:  Trends Neurosci       Date:  2005-06       Impact factor: 13.837

3.  Comparing spectra and coherences for groups of unequal size.

Authors:  Hemant Bokil; Keith Purpura; Jan-Mathijs Schoffelen; David Thomson; Partha Mitra
Journal:  J Neurosci Methods       Date:  2006-08-30       Impact factor: 2.390

4.  Mechanism of anesthesia revealed by shunting actions of isoflurane on thalamocortical neurons.

Authors:  C R Ries; E Puil
Journal:  J Neurophysiol       Date:  1999-04       Impact factor: 2.714

Review 5.  General anesthesia, sleep, and coma.

Authors:  Emery N Brown; Ralph Lydic; Nicholas D Schiff
Journal:  N Engl J Med       Date:  2010-12-30       Impact factor: 91.245

6.  Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method.

Authors:  Zhe Chen; Patrick L Purdon; Grace Harrell; Eric T Pierce; John Walsh; Emery N Brown; Riccardo Barbieri
Journal:  Ann Biomed Eng       Date:  2010-10-13       Impact factor: 3.934

Review 7.  Consciousness and anesthesia.

Authors:  Michael T Alkire; Anthony G Hudetz; Giulio Tononi
Journal:  Science       Date:  2008-11-07       Impact factor: 47.728

8.  Cross-approximate entropy of cortical local field potentials quantifies effects of anesthesia--a pilot study in rats.

Authors:  Matthias Kreuzer; Harald Hentschke; Bernd Antkowiak; Cornelius Schwarz; Eberhard F Kochs; Gerhard Schneider
Journal:  BMC Neurosci       Date:  2010-09-23       Impact factor: 3.288

9.  Electroencephalogram signatures of loss and recovery of consciousness from propofol.

Authors:  Patrick L Purdon; Eric T Pierce; Eran A Mukamel; Michael J Prerau; John L Walsh; Kin Foon K Wong; Andres F Salazar-Gomez; Priscilla G Harrell; Aaron L Sampson; Aylin Cimenser; ShiNung Ching; Nancy J Kopell; Casie Tavares-Stoeckel; Kathleen Habeeb; Rebecca Merhar; Emery N Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-04       Impact factor: 11.205

10.  Cerebral cortical effects of desflurane in sheep: comparison with isoflurane, sevoflurane and enflurane.

Authors:  L J Voss; G Ludbrook; C Grant; J W Sleigh; J P M Barnard
Journal:  Acta Anaesthesiol Scand       Date:  2006-03       Impact factor: 2.105

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  81 in total

Review 1.  Clinical Electroencephalography for Anesthesiologists: Part I: Background and Basic Signatures.

Authors:  Patrick L Purdon; Aaron Sampson; Kara J Pavone; Emery N Brown
Journal:  Anesthesiology       Date:  2015-10       Impact factor: 7.892

2.  Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness.

Authors:  Thomas Thiery; Tarek Lajnef; Etienne Combrisson; Arthur Dehgan; Pierre Rainville; George A Mashour; Stefanie Blain-Moraes; Karim Jerbi
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

3.  Age-dependency of sevoflurane-induced electroencephalogram dynamics in children.

Authors:  O Akeju; K J Pavone; J A Thum; P G Firth; M B Westover; M Puglia; E S Shank; E N Brown; P L Purdon
Journal:  Br J Anaesth       Date:  2015-07       Impact factor: 9.166

4.  The Ageing Brain: Age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia.

Authors:  P L Purdon; K J Pavone; O Akeju; A C Smith; A L Sampson; J Lee; D W Zhou; K Solt; E N Brown
Journal:  Br J Anaesth       Date:  2015-07       Impact factor: 9.166

5.  Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.

Authors:  Ruben A Tikidji-Hamburyan; Conrad A Leonik; Carmen C Canavier
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

Review 6.  Role of electroencephalogram oscillations and the spectrogram in monitoring anaesthesia.

Authors:  M Cindy Kim; G L Fricchione; E N Brown; O Akeju
Journal:  BJA Educ       Date:  2020-02-20

7.  Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass.

Authors:  George S Plummer; Reine Ibala; Eunice Hahm; Jingzhi An; Jacob Gitlin; Hao Deng; Kenneth T Shelton; Ken Solt; Jason Z Qu; Oluwaseun Akeju
Journal:  Clin Neurophysiol       Date:  2018-11-16       Impact factor: 3.708

8.  Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients.

Authors:  Phillip E Vlisides; Duan Li; Mackenzie Zierau; Andrew P Lapointe; Ka I Ip; Amy M McKinney; George A Mashour
Journal:  Anesthesiology       Date:  2019-06       Impact factor: 7.892

9.  In reply.

Authors:  Patrick L Purdon; David W Zhou; Oluwaseun Akeju; Emery N Brown
Journal:  Anesthesiology       Date:  2015-09       Impact factor: 7.892

10.  Electroencephalography and delirium in the postoperative period.

Authors:  B J A Palanca; T S Wildes; Y S Ju; S Ching; M S Avidan
Journal:  Br J Anaesth       Date:  2017-08-01       Impact factor: 9.166

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