Literature DB >> 16357635

Understanding the transition to seizure by modeling the epileptiform activity of general anesthetic agents.

D T J Liley1, I Bojak.   

Abstract

A central difficulty in modeling epileptogenesis using biologically plausible computational and mathematical models is not the production of activity characteristic of a seizure, but rather producing it in response to specific and quantifiable physiologic change or pathologic abnormality. This is particularly problematic when it is considered that the pathophysiological genesis of most epilepsies is largely unknown. However, several volatile general anesthetic agents, whose principle targets of action are quantifiably well characterized, are also known to be proconvulsant. The authors describe recent approaches to theoretically describing the electroencephalographic effects of volatile general anesthetic agents that may be able to provide important insights into the physiologic mechanisms that underpin seizure initiation.

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Year:  2005        PMID: 16357635

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  40 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.  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

3.  Neural field theory with variance dynamics.

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

4.  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

5.  The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination.

Authors:  L R González-Ramírez; M A Kramer
Journal:  J Comput Neurosci       Date:  2018-05-24       Impact factor: 1.621

6.  A probabilistic method for determining cortical dynamics during seizures.

Authors:  Vera M Dadok; Heidi E Kirsch; Jamie W Sleigh; Beth A Lopour; Andrew J Szeri
Journal:  J Comput Neurosci       Date:  2015-04-08       Impact factor: 1.621

7.  Generalized seizures in a neural field model with bursting dynamics.

Authors:  X Zhao; P A Robinson
Journal:  J Comput Neurosci       Date:  2015-08-19       Impact factor: 1.621

8.  Axonal velocity distributions in neural field equations.

Authors:  Ingo Bojak; David T J Liley
Journal:  PLoS Comput Biol       Date:  2010-01-29       Impact factor: 4.475

9.  The electrocortical effects of enflurane: experiment and theory.

Authors:  James W Sleigh; Jeannette A Vizuete; Logan Voss; Alistair Steyn-Ross; Moira Steyn-Ross; Charles J Marcuccilli; Anthony G Hudetz
Journal:  Anesth Analg       Date:  2009-10       Impact factor: 5.108

10.  Changes in EEG power spectral density and cortical connectivity in healthy and tetraplegic patients during a motor imagery task.

Authors:  Filippo Cona; Melissa Zavaglia; Laura Astolfi; Fabio Babiloni; Mauro Ursino
Journal:  Comput Intell Neurosci       Date:  2009-06-24
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