Literature DB >> 20866849

Epileptic seizures: Quakes of the brain?

Ivan Osorio1, Mark G Frei, Didier Sornette, John Milton, Ying-Cheng Lai.   

Abstract

A dynamical analogy supported by five scale-free statistics (the Gutenberg-Richter distribution of event sizes, the distribution of interevent intervals, the Omori and inverse Omori laws, and the conditional waiting time until the next event) is shown to exist between two classes of seizures ("focal" in humans and generalized in animals) and earthquakes. Increments in excitatory interneuronal coupling in animals expose the system's dependence on this parameter and its dynamical transmutability: moderate increases lead to power-law behavior of seizure energy and interevent times, while marked ones to scale-free (power-law) coextensive with characteristic scales and events. The coextensivity of power law and characteristic size regimes is predicted by models of coupled heterogeneous threshold oscillators of relaxation and underscores the role of coupling strength in shaping the dynamics of these systems.

Entities:  

Mesh:

Year:  2010        PMID: 20866849     DOI: 10.1103/PhysRevE.82.021919

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


  15 in total

1.  Epileptic seizures from abnormal networks: why some seizures defy predictability.

Authors:  William S Anderson; Feraz Azhar; Pawel Kudela; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Epilepsy Res       Date:  2011-12-12       Impact factor: 3.045

2.  Outgrowing seizures in Childhood Absence Epilepsy: time delays and bistability.

Authors:  Yue Liu; John Milton; Sue Ann Campbell
Journal:  J Comput Neurosci       Date:  2019-02-09       Impact factor: 1.621

3.  Experimental observation of increased fluctuations in an order parameter before epochs of extended brain synchronization.

Authors:  José Luis Perez Velazquez; Luis Garcia Dominguez; Vera Nenadovic; Richard A Wennberg
Journal:  J Biol Phys       Date:  2010-11-04       Impact factor: 1.365

4.  Inferring multi-scale neural mechanisms with brain network modelling.

Authors:  Michael Schirner; Anthony Randal McIntosh; Viktor Jirsa; Gustavo Deco; Petra Ritter
Journal:  Elife       Date:  2018-01-08       Impact factor: 8.140

5.  Extreme value theory inspires explainable machine learning approach for seizure detection.

Authors:  Oleg E Karpov; Vadim V Grubov; Vladimir A Maksimenko; Semen A Kurkin; Nikita M Smirnov; Nikita P Utyashev; Denis A Andrikov; Natalia N Shusharina; Alexander E Hramov
Journal:  Sci Rep       Date:  2022-07-06       Impact factor: 4.996

6.  Stochastic modeling of a serial killer.

Authors:  M V Simkin; V P Roychowdhury
Journal:  J Theor Biol       Date:  2014-04-08       Impact factor: 2.691

7.  Scaling effects and spatio-temporal multilevel dynamics in epileptic seizures.

Authors:  Christian Meisel; Christian Kuehn
Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

8.  How can we study reasoning in the brain?

Authors:  David Papo
Journal:  Front Hum Neurosci       Date:  2015-04-24       Impact factor: 3.169

Review 9.  Self-organized criticality as a fundamental property of neural systems.

Authors:  Janina Hesse; Thilo Gross
Journal:  Front Syst Neurosci       Date:  2014-09-23

Review 10.  Glycolysis in energy metabolism during seizures.

Authors:  Heng Yang; Jiongxing Wu; Ren Guo; Yufen Peng; Wen Zheng; Ding Liu; Zhi Song
Journal:  Neural Regen Res       Date:  2013-05-15       Impact factor: 5.135

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