Abstract
Relating the measurable, large scale, effects of anaesthetic agents to their molecular and cellular targets of action is necessary to better understand the principles by which they affect behavior, as well as enabling the design and evaluation of more effective agents and the better clinical monitoring of existing and future drugs. Volatile and intravenous general anaesthetic agents (GAs) are now known to exert their effects on a variety of protein targets, the most important of which seem to be the neuronal ion channels. It is hence unlikely that anaesthetic effect is the result of a unitary mechanism at the single cell level. However, by altering the behavior of ion channels GAs are believed to change the overall dynamics of distributed networks of neurons. This disruption of regular network activity can be hypothesized to cause the hypnotic and analgesic effects of GAs and may well present more stereotypical characteristics than its underlying microscopic causes. Nevertheless, there have been surprisingly few theories that have attempted to integrate, in a quantitative manner, the empirically well documented alterations in neuronal ion channel behavior with the corresponding macroscopic effects. Here we outline one such approach, and show that a range of well documented effects of anaesthetics on the electroencephalogram (EEG) may be putatively accounted for. In particular we parametrize, on the basis of detailed empirical data, the effects of halogenated volatile ethers (a clinically widely used class of general anaesthetic agent). The resulting model is able to provisionally account for a range of anaesthetically induced EEG phenomena that include EEG slowing, biphasic changes in EEG power, and the dose dependent appearance of anomalous ictal activity, as well as providing a basis for novel approaches to monitoring brain function in both health and disease.
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Notes
- 1.
However, recently there has been renewed interest in such theories, because of the apparent invariance across a range of vertebrates of the concentrations of inhaled anaesthetic agents required to extinguish the response to noxious (painful) stimuli (Eger et al. 2008). The ability of anaesthetic agents to induce such immobility is, together with hypnosis and analgesia, a cardinal feature of anaesthesia. While it is reasonably well established that immobility is mediated at the level of the spinal chord, no present consensus holds regarding the corresponding molecular targets. Because of their ubiquitous phylogenetic potency, evolutionarily highly conserved cellular and/or molecular loci seem necessary (Sonner 2008). It has been suggested that volatile anaesthetics affect highly conserved sodium channels through a nonspecific mechanism, such as being adsorbed into the membrane, with a subsequent alteration of the function of the resident sodium channels and other membrane-bound proteins (Cantor 1997). This is an interesting hypothesis, but difficult to test experimentally: sodium channels are everywhere in the central nervous system and are involved in a wide variety of processes that may, or may not be, relevant to understanding volatile anaesthetic effect, e.g., the genesis of the action potential, presynaptic neurotransmitter release and the postsynaptic actions of a range of excitatory neurotransmitters and neuromodulators such as glutamate and acetylcholine.
- 2.
This is achieved through the targeted expression, by the viral transfection, of a light-sensitive bacteriorhodopsin—a cation selective ion channel specifically activated by blue light.
References
Alkire MT, Hudetz AG, Tononi G (2008) Consciousness and anesthesia. Science 322:876–880
Amari S (1975) Homogeneous nets of neuron-like elements. Biol Cybern 17:211–220
Bayliss DA, Barrett PQ (2008) Emerging roles for two-pore-domain potassium channels and their potential therapeutic impact. Trends Pharmacol Sci 29:566–575
Belelli D, Harrison NL, Maguire J, Macdonald RL, Walker MC, Cope DW (2009) Extrasynaptic GABAA receptors: form, pharmacology, and function. J Neurosci 29(41):12757–12763
Bertz RJ, Kroboth PD, Kroboth FJ, Reynolds IJ, Salek F, Wright CE, Smith RB (1997) Alprazolam in young and elderly men: sensitivity and tolerance to psychomotor, sedative and memory effects. J Pharmacol Exp Ther 281:1317–1329
Bojak I, Liley DTJ (2005) Modeling the effects of anesthesia on the electroencephalogram. Phys Rev E 71:041902
Bojak I, Liley DTJ (2007) Self-organized 40 Hz synchronization in a physiological theory of EEG. Neurocomputing 70:2085–2090
Bojak I, Liley DTJ (2010) Axonal velocity distributions in neural field equations. PLoS Comput Biol 6(1):e1000653
Bojak I, Oostendorp TF, Reid AT, Kotter R (2010) Connecting mean field models of neural activity to EEG and fMRI data. Brain Topogr 23:139–149
Bower J, Beeman D (1998) The book of GENESIS: exploring realistic neural models with the GEneral NEural SImulation system, 2nd edn. Springer, New York
Breimer LT, Hennis PJ, Burm AG, Danhof M, Bovill JG, Spierdijk J, Vletter AA (1990) Quantification of the EEG effect of midazolam by aperiodic analysis in volunteers. Pharmacokinetic-pharmacodynamic modelling. Clin Pharmacokinet 18:245–253
Bruhn J, Bouillon T, Shafer S (2000) Bispectral index (BIS) and burst suppression: revealing a part of the bis algorithm. J Clin Monit Comput 16:593–596
Campagna JA, Miller KW, Forman SA (2003) Mechanisms of actions of inhaled anesthetics. N Engl J Med 348:2110–2124
Cantor RS (1997) The lateral pressure profile in membranes: a physical mechanism of general anesthesia. Biochemistry 36:2339–2344
Cardin JA, Carlen M, Meletis K, Knoblich U, Zhang F, Deisseroth K, Tsai LH, Moore CI (2009) Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459:663–667
Dafilis MP, Liley DTJ, Cadusch PJ (2001) Robust chaos in a model of the electroencephalogram: implications for brain dynamics. Chaos 11:474–478
Deco G, Jirsa VK, Robinson PA, Breakspear M, Friston K (2008) The dynamic brain: from spiking neurpons to neural masses and cortical fields. PLoS Comput Biol 4(8):e1000092
Eger EE, Raines DE, Shafer SL, Hemmings HC, Sonner JM (2008) Is a new paradigm needed to explain how inhaled anesthetics produce immobility? Anesth Analg 107:832–848
Eilers PHC, Goeman JJ (2004) Enhancing scatterplots with smoothed densities. Bioinformatics 20:623–628
Ermentout B (1998) Neural networks as spatio-temporal pattern-forming systems. Rep Prog Phys 61:353–430
Feshchenko VA, Veselis RA, Reinsel RA (2004) Propofol-induced alpha rhythm. Neuropsychobiology 50(3):257–266
Franks NP (2008) General anaesthesia: from molecular targets to neuronal pathways of sleep and arousal. Nat Rev Neurosci 9:370–386
Franks NP, Lieb WR (1994) Molecular and cellular mechanisms of general anaesthesia. Nature 367:607–614
Freeman WJ (1975) Mass action in the nervous system. Academic Press, New York
Grasshoff C, Rudolph U, Antkowiak B (2005) Molecular and systemic mechanisms of general anaesthesia: the ‘multi-site and multiple mechanisms’ concept. Curr Op Anaesthesiol 18(4):386–391
Gugino LD, Chabot RJ, Prichep LS, John ER, Formanek V, Aglio LS (2001) Quantitative EEG changes associated with loss and return of consciousness in healthy adult volunteers anaesthetized with propofol or sevoflurane. Br J Anaesth 87:421–428
Hemmings HC, Akabas MH, Goldstein PA, Trudell JR, Orser BA, Harrison NL (2005) Emerging molecular mechanisms of general anesthetic action. Trends Pharmacol Sci 26(10):503–511
Hines ML, Carnevale NT (2001) NEURON: a tool for neuroscientists. Neuroscientist 7:123–135
Hotz MA, Ritz R, Linder L, Scollo-Lavizzari G, Haefeli WE (2000) Auditory and electroencephalographic effects of midazolam and alpha-hydroxy-midazolam in healthy subjects. Br J Clin Pharmacol 49:72–79
Ishizawa Y (2007) Mechanisms of anesthetic actions and the brain. J Anesth 21(2):187–199
Jeleazcov CH, Schwilden H (2003) Bispectral analysis does not differentiate between anaesthesia EEG and a linear random process. Biomed Tech (Berl) 48:269–274
Jevtovic-Todorovic V, Todorovic SM, Mennerick S, Powell S, Dikranian K, Benshoff N, Zorumski CF, Olney JW (1998) Nitrous oxide (laughing gas) is an NMDA antagonist, neuroprotectant and neurotoxin. Nat Med 4:460–463
Jirsa VK, Haken H (1996) Field theory of electromagnetic brain activity. Phys Rev Lett 77:960–963
John ER, Prichep LS, Kox W, Valdes-Sosa P, Bosch-Bayard J, Aubert E, Tom M, diMichele F, Gugino LD (2001) Invariant reversible qEEG effects of anesthetics. Conscious Cogn 10:165–183
Koblin D, Chortkoff B, Laster M, Eger E, Halsey M, Ionescu P (1994) Polyhalogenated and perfluorinated compounds that disobey the Meyer-Overton hypothesis. Anesth Analg 79:1043–1048
Kohn LT, Corrigan JM, Donaldson MS (eds) (2000) Building a safer health system. National Academy Press, Washington
Koskinen M, Mustola S, Seppanen T (2005) Relation of EEG spectrum progression to loss of responsiveness during induction of anesthesia with propofol. Clin Neurophysiol 116:2069–2076
Kuizenga K, Kalkman C, Hennis P (1998) Quantitative electroencephalographic analysis of the biphasic concentration-effect relationship of propofol in surgical patients during extradural analgesia. Br J Anaesth 80:725–732
Kuizenga K, Wierda J, Kalkman C (2001) Biphasic EEG changes in relation to loss of consciousness during induction with thiopental, propofol, etomidate, midazolam or sevoflurane. Br J Anaesth 86:354–360
Liley DTJ, Cadusch P, Wright J (1999) A continuum theory of electro-cortical activity. Neurocomputing 26–27:795–800
Liley DTJ, Cadusch P, Dafilis M (2002) A spatially continuous mean field theory of electrocortical activity. Net Comput Neural Syst 13:67–113
Liley DTJ, Cadusch P, Gray M, Nathan P (2003) Drug-induced modification of the system properties associated with spontaneous human electroencephalographic activity. Phys Rev E 68:051,906
Liley DTJ, Sinclair N, Lipping T, Heyse B, Vereecke E, Struys M (2010) Propofol and remifentanil differentially modulate frontal electroencephalographic activity. Anesthesiology 113:1–13
Liley DTJ, Leslie K, Sinclair NC, Feckie M (2008) Dissociating the effects of nitrous oxide on brain electrical activity using fixed order time series modeling. Comput Biol Med 38:1121–1130
Macdonald RL (1994) GABA-A receptor channels. Annu Rev Neurosci 17:569–602
Mihic SJ, Ye Q, Wick MJ, Koltchine VV, Krasowski MD, Finn SE, Mascia MP, Valenzuela CF, Hanson KK, Greenblatt EP, Harris RA, Harrison NL (1997) Sites of alcohol and volatile anaesthetic action on GABA(A) and glycine receptors. Nature 389:385–389
Mohler H, Fritsschy JM, Lüscher B, Rudolph U, Benson J (1996) The GABAA receptors: from subunits to diverse functions. In: Narahashi T (ed) Ion channels, vol 4. Plenum, New York, pp 89–113
Nunez PL (1974) The brain wave equation: a model for the EEG. Math Biosci 21:279–297
Nunez PL (1981) Electric fields of the brain: The neurophysics of EEG, 1st edn. Oxford University Press, New York
Pawelzik H, Bannister AP, Deuchars J, Illia M, Thomson AM (1999) Modulation of bistratified cell IPSPs and basket cell IPSPs by pentobarbitine sodium, diazepam and Zn2+: dual recordings in slices of adult rant hippocampus. Eur J Neurosci 11:3552–3564
Rampil IJ (1998) A primer for EEG signal processing in anesthesia. Anesthesiology 89(4):980–1002
Robinson PA, Rennie CJ, Wright JJ (1997) Propagation and stability of waves of electrical activity in the cerebral cortex. Phys Rev E 56:826–840
Robinson PA, Rennie CJ, Wright JJ, Bahramali H, Gordon E, Rowe DL (2001) Prediction of electroencephalographic spectra from neurophysiology. Phys Rev E 63:021903
Rudolph U, Antkowiak B (2004) Molecular and neuronal substrates for general anaesthetics. Nat Rev Neurosci 5:709–720
Schwilden H, Jeleazcov C (2002) Does the EEG during isoflurane/alfentanil anesthesia differ from linear random data? J Clin Monit Comput 17:449–457
Solt K, Eger EI, Raines DE (2006) Differential modulation of human N-methyl-D-aspartate receptors by structurally diverse general anesthetics. Anesth Analg 102:1407–1411
Sonner JM (2008) A hypothesis on the origin and evolution of the response to inhaled anesthetics. Anesth Analg 107:849–854
Stam CJ, Pijn JP, Suffczynski P, Lopes da Silva FH (1999) Dynamics of the human alpha rhythm: evidence for non-linearity? Clin Neurophysiol 110:1801–1813
Swindale NV (2003) Neural synchrony, axonal path lengths and general anesthesia: a hypothesis. Neuroscientist 9:440–445
Tuckwell HC (1988) Introduction to theoretical neurobiology. Linear cable theory and dendritic structure, vol 1. Cambridge University Press, Cambridge
van Rotterdam A, Lopes da Silva FH, van den Ende J, Viergever MA, Hermans AJ (1982) A model of the spatial-temporal characteristics of the alpha rhythm. Bull Math Biol 44:283–305
Violet JM, Downie DL, Nakisa RC, Lieb WR, Franks NP (1997) Differential sensitivities of mammalian neuronal and muscle nicotinic acetylcholine receptors to general anesthetics. Anesthesiology 86:866–874
Wilson H, Cowan J (1972) Excitatory and inhibitory interactions in localized populations of model neuron. Biophys J 12:1–24
Wilson H, Cowan J (1973) A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 13:55–80
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Liley, D.T.J., Foster, B.L., Bojak, I. (2011). A Mesoscopic Modelling Approach to Anaesthetic Action on Brain Electrical Activity. In: Hutt, A. (eds) Sleep and Anesthesia. Springer Series in Computational Neuroscience, vol 15. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0173-5_7
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