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Anesth Analg 2003;96:720-725
© 2003 International Anesthesia Research Society


ANESTHETIC PHARMACOLOGY

Changes in Consciousness, Conceptual Memory, and Quantitative Electroencephalographical Measures During Recovery from Sevoflurane- and Remifentanil-Based Anesthesia

Andrew Ronald Gordon Muncaster, MBChB, James Wallace Sleigh, MD, and Murray Williams, FANZCA

Waikato Clinical School, Waikato Hospital, Hamilton, New Zealand

Address correspondence and reprint requests to James Wallace Sleigh, MD, Waikato Clinical School, Waikato Hospital, Private Bag, Hamilton, New Zealand. Address e-mail to sleighj{at}hwl.co.nz


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
It is unclear whether opioid-induced changes in electroencephalogram (EEG) or auditory evoked potentials (AEPs) reliably correspond with consciousness. We examined the correlation between 1) the clinically assessed state of consciousness, 2) implicit and explicit memory (by use of word pairs), and 3) various measures of EEG and AEP—bispectral index (BIS), A-Line ARX AEP index, spectral entropy, and entropy of the singular value decomposition (SVDEN; a measure of the complexity of the EEG). We studied 21 women during a two-stage awakening (sevoflurane washout followed by remifentanil washout) after anesthesia for gynecological surgery. All were amnesic, and 19 were unresponsive to verbal command with remifentanil alone. In six patients, BIS decreased paradoxically as the remifentanil concentration decreased; this was caused by a low-amplitude EEG, which was misinterpreted by the Aspect algorithm as burst suppression. Most of the EEG/AEP variables were sensitive to the decrease in sevoflurane and the recovery of consciousness, but not to the effects of decreasing remifentanil concentrations. SVDEN was the only variable that demonstrated significant increases for both the sevoflurane and remifentanil washout phases. With the prediction probability statistic during remifentanil washout, SVDEN = 0.79, spectral entropy = 0.81, A-Line ARX AEP index = 0.63, and BIS = 0.58. Entropy measures appear to be worthy of further clinical evaluation in a larger series of patients. SVDEN may be a useful variable for assessing anesthetic and analgesic effects on the central nervous system.

IMPLICATIONS: During the recovery phase from a remifentanil-based anesthetic, the bispectral index is not reliably predictive of the depth of consciousness, because of suppression ratio artifacts. Entropy measures of the electroencephalogram show promise, but there is still no gold standard to estimate anesthetic depth.


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Measuring the level of consciousness during anesthesia, or "depth of anesthesia," has proven to be challenging. This is particularly problematic when attempting to document the contribution of opioid drugs. It would seem that opioids as sole drugs cannot be used to induce hypnosis reliably in all subjects (1). The question arises: is it possible to use electrophysiological indices to determine which subgroup of patients under opioid anesthesia are truly unaware? The electroencephalogram (EEG) has been proposed as a potential method of determining depth of anesthesia. Although previous work suggests that the EEG can be used as a measure of opioid plasma levels (2,3), it is unclear whether opioid-induced EEG or auditory evoked potential (AEP) changes reliably correspond to the clinical state of consciousness of the patient. When opioids are used in combination with a gamma-aminobutyric acid (GABA)ergic hypnotic drug, most studies suggest that the bispectral index (BIS) is predominantly a measure of the hypnotic drug’s effect and is not very sensitive to the opioid’s effect (46).

This study aims to examine whether there is a reliable correlation between the clinically assessed state of consciousness during recovery from almost pure remifentanil-based "opioid anesthesia" and various measures of EEG and midlatency AEPs. We also assessed whether significant implicit and explicit conceptual memory occurred in the patients in the period before they became responsive to verbal command.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The study was approved by the regional ethics committee, and all patients gave informed written consent. We studied 21 fit women (ASA physical status I–II) requiring anesthesia for elective minor gynecological surgery: laparoscopy (n = 14) and other (n = 7). The following patients were excluded from the study: ASA status >III, those who were pregnant or possibly pregnant, those taking ß-blockers, those with an allergy to any of the anesthetic drugs being used, and those requesting sedating premedications. Patients were informed that while waking they would be given some simple words to try to remember and that in the recovery room they would be asked about what they remembered. Only nonsedative premedications were allowed. IV access was established, and standard anesthetic monitoring was commenced. All patients were given a standard anesthetic. Before anesthetic induction, they received glycopyrrolate 0.2 mg IV. An IV remifentanil infusion (0.4 µg · kg-1 · min-1) was started, and 1–2 min later, anesthesia was induced with propofol (120–200 mg IV). Anesthesia was maintained with oxygen, air, and modest concentrations of sevoflurane administered via a circle breathing system with a carbon dioxide absorber. Gas concentrations were measured with a Datex-Ohmeda AS3 monitor (Instrumentarium, Helsinki, Finland). Muscle relaxants and their antagonists, antiemetics (tropisetron and ondansetron), and metaraminol were administered at the anesthesiologist’s discretion. All patients were ventilated with intermittent positive-pressure ventilation, and their airways were managed with either an endotracheal tube or a laryngeal mask, according to the anesthesiologist’s preference. During surgery, all wounds were infiltrated with local anesthetic. The remifentanil infusion was continued at 0.4 µg · kg-1 · min-1 throughout, but no other intraoperative opioids were given. After the induction, the EEG and AEP monitors were connected. The silver/silver chloride EEG electrodes (impedance <5000 {Omega}) were placed to produce two bipolar signals (Fp1 to F7 and Fp2 to F8, ground Fz). We used the Aspect A-1000 EEG monitor using software version 3.31 (Aspect Medical Systems, Newton, MA) and collected both the raw EEG signal (sampled at 128/s, filtered 0.5–70 Hz, 50-Hz notch) and the processed data (5-s updates of the BIS) into a personal computer for later analysis. Because of lack of space on the forehead, the AEP electrodes were placed slightly above the EEG electrodes—left mastoid (O1) to midline frontal (above Fz) montage, with the reference on the left frontal (above F7). We used the A-Line AEP monitor (Danmeter A/S, Odense, Denmark). The concurrent auditory input of the AEP monitor does not affect the BIS value (7).

To prevent intraoperative awareness during surgery, the sevoflurane was adjusted to maintain a BIS value of <60, or as clinically indicated. Our study design included small amounts of sevoflurane before study commencement because 1) it would clearly be unethical to allow intraoperative awareness, 2) the problem of opioid-induced rigidity is eliminated, and 3) it most closely mimics a typical clinical situation, thus having direct applicability. At the end of surgery, the end-tidal sevoflurane concentration (FETsevo) was noted (median, 0.5%; range, 0.2%–1.1%), and the sevoflurane was turned off. This marked the beginning of a two-stage awakening phase. At this point, we began recording the AEP, BIS, and raw EEG data. During the first stage—the sevoflurane washout period—both sevoflurane (in decreasing concentrations) and remifentanil were present. The starting time point was designated as "sevo off." Because the object of the study was to record recovery from relatively pure "opioid anesthesia," we continued the remifentanil infusion until the sevoflurane was completely washed out. Once the measured FETsevo reached 0%, a further 2-min of washout continued before the remifentanil infusion stopped. From this point, it was assumed that the state of consciousness of the patient was almost completely determined by the (diminishing) remifentanil concentrations. Assuming the blood-brain effect compartment half-life of sevoflurane to be in the order of 2–3 min, the brain concentrations of sevoflurane at this point would be <0.1% (8). The sevoflurane washout phase lasted a median of 519 s (range, 140 to 1133 s). The remifentanil infusion was then turned off, a prerecorded tape was started, and the patient was allowed to awaken. The starting point of this second stage—the remifentanil washout period—was designated "remi off."

The tape instructed the patient every 30 s with the same command ("move your right hand") and a command to remember a series of simple word pairs (category/exemplar, e.g., "remember animal/mouse"). Patients were considered to be conscious when they responded to the loud repeated commands on the tape with appropriate responses or by opening their eyes; with the Observer Assessment of Alertness and Sedation (OAA/S) rating, this equates consciousness with a score of >=3 (9). This time point was designated "awake," the tape was stopped, and the patient was then tracheally extubated at the anesthesiologist’s discretion. In the postanesthetic care unit (PACU), they were given fentanyl (20–25 µg IV) if required for analgesia. Because we wanted to see whether any EEG measures could differentiate near-responsiveness/light anesthesia (OAA/S = 2) from responsiveness/sleep (OAA/S = 3), we designated a fourth point, 30 s before awakening, as "almost responsive." Because of the rapid pharmacokinetic characteristics of remifentanil, all patients but one were completely alert and cooperative by the time they got to PACU.

Within 5 min of arrival in the PACU, the patients were questioned to test for explicit and implicit conceptual memory. Explicit memory was tested by asking patients to recall their last memory before anesthesia and their first memory after anesthesia. Any additional comments that were volunteered were noted. To test further for explicit and implicit memory, patients were questioned to see what they remembered from the tape. This involved reading to them the same list of categories from the tape. With each category (e.g., animal), they were also read 10 exemplars and were asked to pick one exemplar that they thought they might have dreamed about or heard (explicit recall) or, otherwise, the one exemplar that stood out to them (indicative of implicit conceptual memory).

Because we cannot assume that the exemplars selected follow a uniform probability distribution—some exemplars may intrinsically be more appealing, attractive, or noticeable—we also gave a questionnaire containing these same categories (10 exemplar lists) to 21 randomly selected healthy controls who had not been anesthetized or heard the tape. We instructed the controls to choose one exemplar (from the choice of 10 exemplars in each category) that stood out to them. An answer was defined as a "correct exemplar" if it was the same as the exemplar present on the tape. This allowed us to construct a probability distribution for correct exemplars from a group of people who had not previously heard the correct exemplars on the tape. Because not all patients got to the end of the word lists before they awoke, we randomly adjusted the length of the lists given to the controls so that they matched that achieved by the patients.

In addition to the Aspect-derived variables—BIS, 95% spectral edge frequency (SEF), and suppression ratio (SR)—four variables were calculated from the raw EEG signal. These were 1) the spectral entropy (SEN), 2) the entropy of the singular value decomposition (SVDEN), 3) the canonical univariate variable (CUP), and a subcomponent of the BIS, 4) the SynchFastSlow. The variables were calculated by use of the Matlab programming environment (Matlab 6.1; The Mathworks Inc., Natick, MA). The details and significance of the calculation of these EEG variables are discussed more fully in an on-line appendix to this article. The CUP and SEF were included because they have previously been recommended as good measures of opioid effect (2,10). The two entropies offer conceptually novel approaches to the quantification of consciousness that hitherto have not been applied to the estimation of opioid-induced sedation. They both measure the complexity, or irregularity, of the EEG signal. The SEN directly estimates the flatness of the power spectrum, whereas the SVDEN uses a lagged phase-space embedding of the time series similar to that used to calculate the approximate entropy. The EEG of an anesthetized patient is relatively simple because cortical function is constrained by the anesthetic drug. The EEG has a narrow power spectrum (SEN <0.7), and most of the information within the signal can be captured by a few dominant singular values (SVDEN <0.8). In contrast, the EEG of an awake patient is less constrained and has a broad power spectrum (SEN ~1). Because it is more complex (has higher dimensions), it requires many significant singular values to extract the information contained within the signal. The entropy of these singular values then approaches its maximum of 1. The SynchFastSlow and SR are subvariables of the BIS and were derived to aid in the understanding of the paradoxical changes in BIS that we observed. The A-Line ARX index (AAI) was used as a measure of AEP. This machine uses an autoregressive-exogenous input algorithm to rapidly extract midlatency AEPs in the window of 20 to 80 ms poststimulus and thence to derive an index based on the latency and amplitude of the evoked wave form. The advantage of this method is that it can detect the evoked potentials much more quickly than the traditional signal-averaging technique. The effect of opioids on AAI has not been studied in the context of recovery from anesthesia.

We estimated remifentanil effect-site concentrations for each patient during remifentanil recovery period by using published pharmacokinetic variables (2,11). Statistical analysis was performed with SyStat Version 10 (SPSS Inc, Chicago, IL). The Pearson correlation coefficient (r) and {chi}2 were used where appropriate. We used the {chi}2 test of goodness of fit to compare the distribution of correct words between the control group and the patient group. Within-subject changes in EEG variables at each time point were compared by use of the paired Student’s t-test with Bonferroni correction for three comparisons: 1) "sevo off" to "remi off" (the effect of sevoflurane), 2) "remi off" to "almost responsive" (the effect of remifentanil), and 3) "almost responsive" to "awake" (the effect of recovery of consciousness). Statistical significance was set at P < 0.05. The performance of each EEG variable was further compared by using the prediction probability statistic (Pk) as described by Smith et al. (12). It was calculated with the Somer’s dxy method. A Pk value of 1 indicates perfect concordance between the EEG variable and the clinical level of consciousness. Values of <0.5 suggest more discordance than concordance. First, we tested the discrimination of each EEG variable by using data from the "sevo off" (unresponsive) to "awake" (responsive) time points. This would be a measure of combined sevoflurane and remifentanil effects. Second, we compared EEG variables between "remi off" (unresponsive except for two patients who woke up at the full remifentanil dose) and "awake" (responsive) time points. This estimates the contribution of remifentanil effects only.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Data from 21 patients (age: median, 35 yr; range, 21–54 yr; weight: median, 70 kg; range, 40–103 kg; operation duration: median, 40 min; range, 15–70 min) were analyzed. No patient had recall between the induction of anesthesia and the start of the sevoflurane washout phase. At the end of the sevoflurane washout phase, 19 of the 21 patients were unconscious (i.e., OAA/S score of <=2). At this point, remifentanil was still being infused at 0.4 µg · kg-1 · min-1 (just before the beginning of the remifentanil washout phase). Two of the patients were not unconscious at this point: one patient woke (opened eyes and obeyed command, FETsevo = 0%,SEN = 0.95, BIS = 96, AAI = 50) with the first command on the audio tape, and the other patient woke (opened eyes, FETsevo = 0.13%, SEN = 0.94, BIS = 82, AAI = 40) before the remifentanil stopped and the audio tape started.

For the implicit memory testing, the {chi}2 goodness-of-fit test demonstrated that the probability of picking correct exemplars in the patient group was no better (P = 0.24) than for the control volunteers who had not heard the tape (Table one). In fact, there was a trend toward proportionately more correct exemplars in the control group. Eight of the patients had some explicit memory of the tape at the moment of awakening (eye opening or obeying command, BIS range 21–97). Of these, one had explicit memory from 60 s before awakening (she remembered "being told to move my right arm and something about poplar and dog"; BIS = 15, AEP = 19), and one had memory from 30 s before awakening (she remembered "dream being broken into and hearing the word food"; BIS = 60, AEP = 84).


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Table 1. Implicit Conceptual Memory: Comparison of the Distribution of Correct Exemplars in the Patient and Control Groups
 
Figure 1 illustrates typical changes in different EEG and AEP variables during the withdrawal of anesthetic drugs for two patients. There were distinct patterns among the patients for the change in BIS value over time.



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Figure 1. Typical examples of changes in electroencephalogram (EEG) variables in two patients (left and right). The example on the left shows the paradoxical decrease in bispectral index (BIS) as the anesthesia wears off. The decrease in BIS occurs at the same time as a large increase in the suppression ratio (not shown). The example on the right shows a trend in the BIS that correlates correctly with the decrease in remifentanil concentrations. In this case, the BIS follows the same pattern as the SynchFastSlow, and the suppression ratio is negligible. The vertical lines indicate the times of starting to withdrawing sevoflurane ("sevo off"), stopping the infusion of remifentanil ("remi off"), and awakening ("awake"). In the bottom pair of graphs, the solid line is the singular value decomposition entropy, and the dotted line is the spectral entropy. AAI = A-Line ARX index; CUP = canonical univariate variable.

 
In six patients (typified by the left side of Fig. 1), the BIS decreased paradoxically as the remifentanil concentration decreased. Note that SynchFastSlow had little influence on the BIS in this mode, because the SynchFastSlow was trending upward as the BIS was decreasing. This phenomenon is caused by the very-low-amplitude EEG that often occurs in this state, which is misinterpreted by the Aspect algorithm as burst suppression. If the BIS is plotted against the SR, it is apparent that the BIS becomes totally controlled by the SR when the SR increases above a critical threshold of 50% (BIS <40 versus SR >50%; r > 0.999). When the SD of the EEG wave form is <15 µV, the SR component of the BIS starts to increase (SR versus the SD of EEG <15 µV; r = 0.70). The mean (SD) changes in absolute value for the EEG variables at each time point are shown graphically in Figure 2.



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Figure 2. Changes in mean (SD) electroencephalogram variables during recovery. Time point 1 = "sevo off"; time point 2 = "remi off"; time point 3 = "almost responsive"; time point 4 = "awake." BIS = bispectral index; AAI = A-Line ARX index; SVDEN = entropy of the singular value decomposition; SEN = spectral entropy; CUP = canonical univariate variable; SFS = SynchFastSlow.

 
The AAI, BIS, and SEN all performed comparably. As has been previously reported (4), the BIS did not change significantly with the change in opioid concentrations but did change significantly at the point of awakening. The influence of the sevoflurane was statistically insignificant, probably because of the relatively small concentrations used in this study. Similarly, the AAI, BIS, and SEN differentiated the recovery of responsiveness (OAA/S 2–3) but did not demonstrate any significant change during the remifentanil washout phase. SEF and CUP showed a different pattern; they changed significantly during the sevoflurane washout phase but did not change significantly on arousal. SVDEN was the only variable that demonstrated significant increases for both the sevoflurane and remifentanil washout phases and during the recovery of consciousness.

The Pk values for each EEG variable are shown in Table 2. With the caveat of the very small numbers studied, the results indicate some superiority of the entropy measures over the AAI and the BIS. However, there is a high predictive error for all the EEG variables of 15% (SEN) to >40% (BIS). The calculated mean (SD) effect-site concentrations of remifentanil at the "remi off" time point were 11.5 ng/mL (2.9 ng/mL), and at the point of awakening these were 5.8 ng/mL (2.8 ng/mL).


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Table 2. Comparison of the Power of the Four Main EEG/AEP Variables to Discriminate Responsive (OAA/S = 3) from Unresponsive (OAA/S = 2) Patients (with the Pk Statistic)
 

    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
In this study, we analyzed the effect of remifentanil on consciousness, memory, and EEG in a setting where minimal hypnotic drug was present. We could detect no conceptual implicit memory before awakening, but eight of the patients had some explicit memory of the tape at the moment of awakening. In general, the EEG/AEP variables were sensitive to the decrease in sevoflurane and with recovery of consciousness. However, at this dose of remifentanil, there was only a modest correlation between any of the EEG/AEP variables and the estimated remifentanil concentrations. As measured by the Pk values and Student’s t-tests, entropy measures (particularly the SVDEN) seemed to be more sensitive than the other EEG variables to remifentanil washout. It is of interest to note that—like the SynchFastSlow—the SVDEN incorporates interfrequency phase information in its algorithm. SVDEN and SynchFastSlow correlated well with each other (r = 0.8–0.9). Entropy measures appear to be worthy of further clinical evaluation in a larger series of patients.

Like Barr et al. (13), we demonstrated that BIS is not useful as a measure of depth of anesthesia or decrease in opioid concentration when remifentanil is used at clinical doses. This implies that extrapolated isobolograms for combinations of hypnotics and opioids constructed by using the BIS may not be reliable at very small concentrations of hypnotic (14). As part of the clinical management of the patients during surgery, we adjusted the sevoflurane concentrations to achieve BIS values in the recommended range. However, in retrospect, this study suggests that this practice may not be wise when an anesthetic technique is used with predominantly remifentanil and minimal sevoflurane. With this technique, the BIS definitely does not always show a monotonic relationship to the level of anesthesia. In approximately a quarter of the patients, the BIS plummets during the remifentanil washout phase. In this phase, the EEG is of low amplitude, which the BIS interprets as burst suppression, and the SR dominates the BIS, giving a misleadingly small value. We have observed this phenomenon subsequently when using the Aspect A2000 monitor.

Except for the BIS, the bias was toward lack of awareness; i.e., the EEG/AEP variables indicated that the patients should have been awake, but they were unresponsive to verbal command. A subgroup of five patients had EEG/AEP variables indicative of being awake (BIS >70, AAI >70, SEN >0.85, and SVDEN >0.92) for longer than 60 seconds (sometimes several minutes; see Fig. 1) before becoming responsive. As evidenced by these desynchronized EEG patterns, it is clear that they were in a different state of unresponsiveness than the usual anesthetic state induced by GABAergic hypnotic anesthetics. This phenomenon limits the use of any variable as an indicator of unconsciousness—mainly because a group of patients are clinically unresponsive, but exhibit an alert-looking EEG.

We were surprised at the frequent prevalence of explicit and implicit amnesia that we found. Opioids are generally not considered to be powerful amnesic drugs (15). Most previous work dealing with opioids and amnesia has concentrated on measuring explicit recall. We could find no articles dealing with implicit memory with an opioid-only anesthetic technique. We used a measure of conceptual implicit memory. It implies that for an unconscious memory to form, some degree of semantic processing must take place; i.e., the exemplar (e.g., "apple") must be linked to and understood as an example of the generic category ("fruit"). It is likely that some form of (unconscious) memory may be established under general anesthesia that does not require the higher semantic processing. This may be termed "perceptual" implicit memory and is often tested for by using a word-stem completion test. It is likely that implicit/unconscious perceptual memory formation is much more common under general anesthesia than implicit conceptual memory formation. However, it could be argued that alteration of the central nervous system ("memory") without the attachment of any meaning is of little importance. In any case, this "memory-like" process of imprinting is known to occur at all levels of the sensory pathway (16). In contrast to the lack of amnesic effects of opioids, it has been well documented that volatile anesthetics have a profound effect on memory (17). It is therefore probable that most of the amnesia seen in our study can be attributed to the residual effects of the very small brain concentrations of sevoflurane whose amnesic effects were potentiated by the remifentanil. Like those of other authors (18, 19), our data support the lack of inhibitory effect of remifentanil on AEPs. Among our patients, almost half had high AAI values (>50) once the sevoflurane washout had finished, but they were unresponsive.

Jhaveri et al.’s (1) findings and those of Lang et al. (20) suggest that remifentanil is not suitable as a sole anesthetic, either as an induction drug or as a maintenance drug. Nevertheless, we found that—even at the more modest dose of 0.4 µg · kg-1 · min-1—only extremely small amounts of sevoflurane are needed for unconsciousness. The two patients who woke when the sevoflurane was withdrawn did have EEG variables with very high values that would not normally be indicative of unconsciousness. Conscious recall would appear to be unlikely if the sevoflurane is titrated on top of the remifentanil infusion to keep the SEN <0.7 or the SVDEN <0.8. This needs to be confirmed with a larger study. The SVDEN may be a useful variable for assessing anesthetic and analgesic effects on the central nervous system.


    Acknowledgments
 
We thank Dr. Charles Minto for calculating the effect-site concentrations of remifentanil.


    Footnotes
 
Supplemental material available at www.anesthesia-analgesia.org.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

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Accepted for publication September 18, 2002.




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C.-C. Wu, M. S. Mok, J.-Y. Chen, G.-J. Wu, Y.-R. Wen, and C.-S. Lin
Doxapram shortens recovery following sevoflurane anesthesia: [Le doxapram hate la recuperation apres une anesthesie au sevoflurane].
Can J Anesth, May 1, 2006; 53(5): 456 - 460.
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Anesth. Analg.Home page
P. F. White, J. Tang, G. F. Romero, R. H. Wender, R. Naruse, A. Sloninsky, and R. Kariger
A Comparison of State and Response Entropy Versus Bispectral Index Values During the Perioperative Period
Anesth. Analg., January 1, 2006; 102(1): 160 - 167.
[Abstract] [Full Text] [PDF]


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Anesth. Analg.Home page
A. A. Dahaba
Different Conditions That Could Result in the Bispectral Index Indicating an Incorrect Hypnotic State
Anesth. Analg., September 1, 2005; 101(3): 765 - 773.
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Anesth. Analg.Home page
S. Hagihira, K. Okitsu, and M. Kawaguchi
Unusually Low Bispectral Index Values During Emergence from Anesthesia
Anesth. Analg., April 1, 2004; 98(4): 1036 - 1038.
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Br J AnaesthHome page
R. E. Anderson and J. G. Jakobsson
Entropy of EEG during anaesthetic induction: a comparative study with propofol or nitrous oxide as sole agent{dagger}
Br. J. Anaesth., February 1, 2004; 92(2): 167 - 170.
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P. J. Manberg, A. R. G. Muncaster, J. W. Sleigh, and M. Williams
BIS Monitoring Requires Proper Electrode Placement for Optimum Performance * Response
Anesth. Analg., October 1, 2003; 97(4): 1206 - 1206.
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Lippincott, Williams & Wilkins Anesthesia & Analgesia® is published for the International Anesthesia Research Society® by Lippincott Williams & Wilkins with the assistance of Stanford University Libraries' HighWire Press®. Copyright 2006 by the International Anesthesia Research Society. Online ISSN: 1526-7598   Print ISSN: 0003-2999 HighWire Press