Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-29T22:35:13.442Z Has data issue: false hasContentIssue false

An effective correlation dimension and burst suppression ratio of the EEG in rat. Correlation with sevoflurane induced anaesthetic depth

Published online by Cambridge University Press:  10 February 2006

P. L. C. van den Broek
Affiliation:
Radboud University Nijmegen, NICI Department of Psychology, Nijmegen, The Netherlands Radboud University Nijmegen, Department of Anaesthesiology, Nijmegen, The Netherlands
C. M. van Rijn
Affiliation:
Radboud University Nijmegen, NICI Department of Psychology, Nijmegen, The Netherlands
J. van Egmond
Affiliation:
Radboud University Nijmegen, Department of Anaesthesiology, Nijmegen, The Netherlands
A. M. L. Coenen
Affiliation:
Radboud University Nijmegen, NICI Department of Psychology, Nijmegen, The Netherlands
L. H. D. J. Booij
Affiliation:
Radboud University Nijmegen, Department of Anaesthesiology, Nijmegen, The Netherlands
Get access

Abstract

Summary

Background and objective: Anaesthesiologists need parameters that measure the depth of anaesthesia. In the context of this need, the present study investigated in rats how two variables from the electroencephalogram, the burst suppression ratio and effective correlation dimension correlated with a measure of anaesthetic depth as measured in the strength of a noxious withdrawal reflex. Methods: Eight rats were exposed to different inspiratory concentrations of sevoflurane, each rat in two separate experiments. In the first experiment, spontaneously breathing animals could move freely and no painful stimuli were applied. In the second experiment, in mechanically ventilated restrained anaesthetized rats, the withdrawal reflex was measured every 80 s. In both experiments the electroencephalogram was continuously recorded. The concentration in the effector compartment was estimated using a first order two compartment model. Correlation dimension was computed following the Grassberger/Procaccia/Takens approach with optimized parameter settings to achieve maximum sensitivity to anaesthetic drug effects and enable real-time computation. The Hill, equation was fitted to the data, describing the effect as a function of sevoflurane concentration. Results: Good correlations of Depth of Anaesthesia with correlation dimension as well as burst suppression ratio were established in both types of experiments. Arousal by noxious stimuli decreased burst suppression ratio and increased correlation dimension. The effective sevoflurane concentration associated with 50% of the maximum effect (C50) was higher in experiment II (stimulation) than in experiment I (no stimulation): i.e. for correlation dimension 2.18% vs. 0.60% and for burst suppression ratio 3.07% vs. 1.73%. The slope factors were: γCD = 4.15 vs. γCD = 1.73 and γBSR = 5.2 vs. γBSR = 5.4. Correlation dimension and burst suppression ratio both correlated with the strength of the withdrawal reflex with correlation coefficients of 0.46 and 0.66 respectively (P < 0.001). Conclusions: Both correlation dimension and burst suppression ratio are related to anaesthetic depth and are affected by noxious stimuli. The relationship between anaesthetic depth and burst suppression ratio is confirmed and the potential of correlation dimension is demonstrated.

Type
Original Article
Copyright
2006 European Society of Anaesthesiology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Kochs E, Schneider G. Kann die Narkosetiefe gemessen werden? Anasth Intensivmed Notfallmed Schmerzther 2001; 36: 661663.Google Scholar
Dutton RC, Smith WD, Smith NT. EEG predicts movement response to surgical stimuli during general anesthesia with combinations of isoflurane, 70% N2O, and fentanyl. J Clin Monit 1996; 12: 127139.Google Scholar
Schaefer MV, Rugeles MS, Gurman Get al. Protocol for studying depth of anesthesia using the spectral edge frequency. Anesth Pain Control Dent 1992; 4: 219221.Google Scholar
Ghouri AF, Monk TG, White PF. Electroencephalogram spectral edge frequency, lower esophageal contractility, and autonomic responsiveness during general anesthesia. J Clin Monit 1993; 9: 176185.Google Scholar
Sidi A, Halimi P, Cotev S. Estimating anesthetic depth by electroencephalography during anesthetic induction and intubation in patients undergoing cardiac surgery. J Clin Anesth 1990; 2: 101108.Google Scholar
Schnider TW, Minto CF, Fiset P, Gregg KM, Shafer SL. Semilinear canonical correlation applied to the measurement of the electroencephalographic effects of midazolam and flumazenil reversal. Anesthesiology 1996; 84: 510519.Google Scholar
Dwyer RC, Rampil IJ, Eger II EI, Bennett HL. The electroencephalogram does not predict depth of isoflurane anesthesia. Anesthesiology 1994; 81: 403409.Google Scholar
Rampil IJ, Laster MJ. No correlation between quantitative electroencephalographic measurements and movement response to noxious stimuli during isoflurane anesthesia in rats. Anesthesiology 1992; 77: 920925.Google Scholar
Thomsen CE, Prior PF. Quantitative EEG in assessment of anaesthetic depth: comparative study of methodology. Br J Anaesth 1996; 77: 172180.Google Scholar
Grassberger P, Procaccia I. Measuring the strangeness of strange attractors. Physica 9D 1983; 9: 189208.Google Scholar
Takens F. Detecting strange attractors in turbulence. Lect Notes Math 1981; 898: 366381.Google Scholar
Mayer-Kress G, Layne SP. In: Koslow SH, Mandell AJ, Shlesinger MF, eds. Perspectives in Biological Dynamics and Theoretical Medicine.New York, USA: Annals of the New York Academy of Sciences, 1987: 6287.
Watt RC, Hameroff SR. Phase space electroencephalography (EEG): a new mode of intraoperative EEG analysis. Int J Clin Monit Comput 1988; 5: 313.Google Scholar
Widman G, Schreiber T, Rehberg B, Hoeft A, Elger CE. Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity. Phys Rev E 2000; 62: 48984903.Google Scholar
Lee MG, Park EJ, Choi JM, Yoon MH. Electroencephalographic correlation dimension changes with depth of halothane. Korean J Physiol Pharmacol 1999; 3: 491499.Google Scholar
Viertiö-Oja HE, Drachman-Mertsalmi R, Jäntti Vet al. New method to determine depth of anesthesia from EEG measurements. STA Meeting 2000, Technology for the Next Century 2000.
Zhang XS, Roy RJ. Predicting movement during anaesthesia by complexity analysis of electroencephalograms. Med Biol Eng Comput 1999; 37: 327334.Google Scholar
Zhang XS, Roy RJ. Derived fuzzy knowledge model for estimating the depth of anesthesia. IEEE Trans Biomed Eng 2001; 48: 312323.Google Scholar
Muthuswamy J, Roy RJ. The use of fuzzy integrals and bispectral analysis of the electroencephalogram to predict movement under anesthesia. IEEE Trans Biomed Eng 1999; 46: 291299.Google Scholar
Schwartz AE, Tuttle RH, Poppers PJ. Electroencephalographic burst suppression in elderly and young patients anesthetized with isoflurane. Anesth Analg 1989; 68: 912.Google Scholar
Hoffman WE, Edelman G. Comparison of isoflurane and desflurane anesthetic depth using burst suppression of the electroencephalogram in neurosurgical patients. Anesth Analg 1995; 81: 811816.Google Scholar
Metz S, Slogoff S. Thiopental sodium by single bolus dose compared to infusion for cerebral protection during cardiopulmonary bypass. J Clin Anesth 1990; 2: 226231.Google Scholar
Englehardt W, Carl G, Dierks T, Maurer K. Electroencephalographic mapping during isoflurane anesthesia for treatment of mental depression. J Clin Monit 1991; 7: 2329.Google Scholar
Krishnamurthy KB, Drislane FW. Depth of EEG suppression and outcome in barbiturate anesthetic treatment for refractory status epilepticus. Epilepsia 1999; 40: 759762.Google Scholar
Lipping T, Jantti V, Yli-Hankala A, Hartikainen K. Adaptive segmentation of burst-suppression pattern in isoflurane and enflurane anesthesia. Int J Clin Monit Comput 1995; 12: 161167.Google Scholar
Vijn PC, Sneyd JR. i.v. anaesthesia and EEG burst suppression in rats: bolus injections and closed-loop infusions. Br J Anaesth 1998; 81: 415421.
Van den Broek PLC, Van Egmond J, Van Rijn CM, Takens F, Coenen AML, Booij LHDJ. Feasibility of real-time calculation of correlation integral derived statistics applied to EEG time series. Physica D 2005; 203: 198208.Google Scholar
Dirksen R, Lerou J, Lagerwerf AJet al. A Small-animal model for pharmacological studies of general anaesthetic agents. Eur J Anaesthesiol 1990; 7: 285298.Google Scholar
Theiler J, Rapp PE. Re-examination of the evidence for low-dimensional, nonlinear structure in the human electroencephalogram. Electroen Clin Neurophysiol 1996; 98: 213222.Google Scholar
Skinner JE, Molnar M. Event-related dimensional reductions in the primary auditory cortex of the conscious cat are revealed by new techniques for enhancing the non-linear dimensional algorithms. Int J Psychophysiol 1999; 34: 2135.Google Scholar
Sheiner LB, Stanski DR, Vozeh S, Miller RD, Ham J. Simultaneous modeling of pharmacokinetics and pharmacodynamics: Application to d-tubocurarine. Clin Pharmacol Ther 1979; 25: 358371.Google Scholar
Hill AV. The possible effects of the aggregation of the molecules of hemoglobin on its dissociation curves. J Physiol 1910; 40: 47.Google Scholar
Gray C. A reassessment of the signs and levels of anaesthesia. Irish J Med Sci 1960; 419: 499509.Google Scholar
Coates DP, Prys-Roberts C, Spelina KR, Monk CR, Norley I. Propofol (‘Diprivan’) by intravenous infusion with nitrous oxide: dose requirements and haemodynamic effects. Postgrad Med J 1985; 61: 7679.Google Scholar
Browne BL, Prys-Roberts C, Wolf AR. Propofol and alfentanil in children: infusion technique and dose-requirement for total i.v. anaesthesia. Br J Anaesth 1992; 69: 570576.Google Scholar
Mourisse J, Gerrits W, Lerou J, Van Egmond J, Zwarts MJ, Booij LHDJ. Electromyographic assessment of blink and corneal reflexes during midazolam administration: useful methods for assessing depth of anesthesia? Acta Anaesthesiol Scand 2003; 47: 593600.Google Scholar
Hall JE, Stewart JIM, Harmer M. Single-breath inhalation induction of sevoflurane anaesthesia with and without nitrous oxide: a feasibility study in adults and comparison with an intravenous bolus of propofol. Anaesthesia 1997; 52: 410415.Google Scholar
Theiler J, Eubank S, Longtin A, Galdrikian B, Doyne Farmer J. Testing for nonlinearity in time series: the method of surrogate data. Physica D 1992; 58: 7794.Google Scholar
Schreiber T, Schmitz A. Improved surrogate data for nonlinearity tests. Phys Rev Lett 1996; 77: 635638.Google Scholar
Kugiumtzis D. On the reliability of the surrogate data test for nonlinearity in the analysis of noisy time series. Int J Bifurcat Chaos 2001; 11: 18811896.Google Scholar
Lehmann A, Thaler E, Boldt J. Ist es sinnvoll, die Narkosetiefe zu messen? – Ein Versuch der marktübersicht über die kommerziel erhältlichen Geräte zur Messung der Narkosetiefe. Anasthesiol Intensivmed Notfallmed Schmerzther 2001; 36: 683692.Google Scholar
Lang E, Sebel PS, Manberg P. Bispectral EEG analysis, analgesia, and movement at incision during propofol/alfentanil/N2O anesthesia. Anesthesiology 1994; 81: A476.Google Scholar
Vernon JM, Lang E, Sebel PS, Manberg P. Prediction of movement using bispectral electroencephalographic analysis during propofol/alfentanil or isoflurane/alfentanil anesthesia. Anesth Analg 1995; 80: 780785.Google Scholar
Sebel PS, Lang E, Rampil IJet al. A multicenter study of bispectral electroencephalogram analysis for monitoring anesthetic effect. Anesth Analg 1997; 84: 891899.Google Scholar
Doyle DJ. Computerized EEG monitoring of anesthetic depth: Quo Vadis? Can J Anaesth 2000; 47: 10441045.Google Scholar
Detsch O, Schneider G, Kochs E, Hapfelmeier G, Werner C. Increasing isoflurane concentration may cause paradoxical increases in the EEG bispectral index in surgical patients. Br J Anaesth 2000; 84: 3337.Google Scholar
Puri GD. Paradoxical changes in bispectral index during nitrous oxide administration. Br J Anaesth 2001; 86: 141142.Google Scholar
Mychaskiw G, Heath BJ, Eichhorn JH. Falsely elevated bispectral index during deep hypothermic circulatory arrest. Br J Anaesth 2000; 85: 798800.Google Scholar
Katoh T, Suzuki A, Ikeda K. Electroencephalographic derivatives as a tool for predicting the depth of sedation and anesthesia induced by sevoflurane. Anesthesiology 1998; 88: 642650.Google Scholar
Barr G, Anderson RE, Owall A, Jakobsson JG. Being awake intermittently during propofol-induced hypnosis: a study of BIS, explicit and implicit memory. Acta Anaesthesiol Scand 2001; 45: 834838.Google Scholar
Shaw FZ, Chen RF, Tsao HW, Yen CT. Algorithmic complexity as an index of cortical function in awake and pentobarbital-anesthetized rats. J Neurosci Methods 1999; 93: 101110.Google Scholar