Literature DB >> 15142753

Modelling general anaesthesia as a first-order phase transition in the cortex.

Moira L Steyn-Ross1, D A Steyn-Ross, J W Sleigh.   

Abstract

Since 1997 we have been developing a theoretical foundation for general anaesthesia. We have been able to demonstrate that the abrupt change in brain state brought on by anaesthetic drugs can be characterized as a first-order phase transition in the population-average membrane voltage of the cortical neurons. The theory predicts that, as the critical point of phase change into unconsciousness is approached, the electrical fluctuations in cortical activity will grow strongly in amplitude while slowing in frequency, becoming more correlated both in time and in space. Thus the bio-electrical change of brain-state has deep similarities with thermodynamic phase changes of classical physics. The theory further predicts the existence of a second critical point, hysteretically separated from the first, corresponding to the return path from comatose unconsciousness back to normal responsiveness. There is a steadily accumulating body of clinical evidence in support of all of the phase-transition predictions: low-frequency power surge in EEG activity; increased correlation time and correlation length in EEG fluctuations; hysteresis separation, with respect to drug concentration, between the point of induction and the point of emergence. Copyright 2004 Elsevier Ltd.

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Year:  2004        PMID: 15142753     DOI: 10.1016/j.pbiomolbio.2004.02.001

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  53 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

Review 2.  The Neurobiology of Anesthetic Emergence.

Authors:  Vijay Tarnal; Phillip E Vlisides; George A Mashour
Journal:  J Neurosurg Anesthesiol       Date:  2016-07       Impact factor: 3.956

3.  The K-complex and slow oscillation in terms of a mean-field cortical model.

Authors:  M T Wilson; D A Steyn-Ross; J W Sleigh; M L Steyn-Ross; L C Wilcocks; I P Gillies
Journal:  J Comput Neurosci       Date:  2006-08-14       Impact factor: 1.621

4.  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

5.  Designing a planar vector field to investigate the role of a slow variable in an enhanced mean-field model during general anesthesia.

Authors:  Behnam Molaee-Ardekani; Mohammad-Bagher Shamsollahi; Lotfi Senhadji; Bijan Vosoughi-Vahdat; Eric Wodey
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

6.  A probabilistic framework for a physiological representation of dynamically evolving sleep state.

Authors:  Vera M Dadok; Heidi E Kirsch; Jamie W Sleigh; Beth A Lopour; Andrew J Szeri
Journal:  J Comput Neurosci       Date:  2013-12-22       Impact factor: 1.621

7.  The population firing rate in the presence of GABAergic tonic inhibition in single neurons and application to general anaesthesia.

Authors:  Axel Hutt
Journal:  Cogn Neurodyn       Date:  2011-11-17       Impact factor: 5.082

8.  Going beyond a mean-field model for the learning cortex: second-order statistics.

Authors:  M T Wilson; Moira L Steyn-Ross; D A Steyn-Ross; J W Sleigh
Journal:  J Biol Phys       Date:  2008-03-18       Impact factor: 1.365

9.  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

10.  Differential effects of deep sedation with propofol on the specific and nonspecific thalamocortical systems: a functional magnetic resonance imaging study.

Authors:  Xiaolin Liu; Kathryn K Lauer; B Douglas Ward; Shi-Jiang Li; Anthony G Hudetz
Journal:  Anesthesiology       Date:  2013-01       Impact factor: 7.892

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