Literature DB >> 11461298

Toward a theory of the general-anesthetic-induced phase transition of the cerebral cortex. I. A thermodynamics analogy.

M L Steyn-Ross1, D A Steyn-Ross, J W Sleigh, L C Wilcocks.   

Abstract

In a recent paper the authors developed a stochastic model for the response of the cerebral cortex to a general anesthetic agent. The model predicted that there would be an anesthetic-induced phase change at the point of transition into unconsciousness, manifested as a divergence in the electroencephalogram spectral power, and a change in spectral energy distribution from being relatively broadband in the conscious state to being strongly biased towards much lower frequencies in the unconscious state. Both predictions have been verified in recent clinical measurements. In the present paper we extend the model by calculating the equilibrium distribution function for the cortex, allowing us to establish a correspondence between the cortical phase transition and the more familiar thermodynamic phase transitions. This correspondence is achieved by first identifying a cortical free energy function, then by postulating that there exists an inverse relationship between an anesthetic effect and a quantity we define as cortical excitability, which plays a role analogous to temperature in thermodynamic phase transitions. We follow standard thermodynamic theory to compute a cortical entropy and a cortical "heat capacity," and we investigate how these will vary with anesthetic concentration. The significant result is the prediction that the entropy will decrease discontinuously at the moment of induction into unconsciousness, concomitant with a release of "latent heat" which should manifest as a divergence in the analogous heat capacity. There is clear clinical evidence of heat capacity divergence in historical anesthetic-effect measurements performed in 1977 by Stullken et al. [Anesthesiology 46, 28 (1977)]. The discontinuous step change in cortical entropy suggests that the cortical phase transition is analogous to a first-order thermodynamic transition in which the comatose-quiescent state is strongly ordered, while the active cortical state is relatively disordered.

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Year:  2001        PMID: 11461298     DOI: 10.1103/PhysRevE.64.011917

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  27 in total

1.  How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation.

Authors:  Meysam Hashemi; Axel Hutt; Jamie Sleigh
Journal:  J Comput Neurosci       Date:  2015-08-11       Impact factor: 1.621

2.  Pathological pattern formation and cortical propagation of epileptic seizures.

Authors:  Mark A Kramer; Heidi E Kirsch; Andrew J Szeri
Journal:  J R Soc Interface       Date:  2005-03-22       Impact factor: 4.118

3.  Brain activity modeling in general anesthesia: enhancing local mean-field models using a slow adaptive firing rate.

Authors:  B Molaee-Ardekani; L Senhadji; M B Shamsollahi; B Vosoughi-Vahdat; E Wodey
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-10-19

4.  Neural field theory with variance dynamics.

Authors:  P A Robinson
Journal:  J Math Biol       Date:  2012-05-11       Impact factor: 2.259

5.  Anesthetic-induced transitions by propofol modeled by nonlocal neural populations involving two neuron types.

Authors:  Axel Hutt; Lutz Schimansky-Geier
Journal:  J Biol Phys       Date:  2008-05-20       Impact factor: 1.365

6.  Effects of the anesthetic agent propofol on neural populations.

Authors:  Axel Hutt; Andre Longtin
Journal:  Cogn Neurodyn       Date:  2009-09-19       Impact factor: 5.082

7.  A stochastic basis for neural inertia in emergence from general anaesthesia.

Authors:  A Proekt; A E Hudson
Journal:  Br J Anaesth       Date:  2018-04-11       Impact factor: 9.166

8.  The sleep cycle modelled as a cortical phase transition.

Authors:  D A Steyn-Ross; Moira L Steyn-Ross; J W Sleigh; M T Wilson; I P Gillies; J J Wright
Journal:  J Biol Phys       Date:  2005-12       Impact factor: 1.365

9.  Percolation Model of Sensory Transmission and Loss of Consciousness Under General Anesthesia.

Authors:  David W Zhou; David D Mowrey; Pei Tang; Yan Xu
Journal:  Phys Rev Lett       Date:  2015-09-04       Impact factor: 9.161

Review 10.  Consciousness and anesthesia.

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

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