Literature DB >> 21096525

Network dynamics of the epileptic brain at rest.

Catherine Stamoulis1, Lawrence J Gruber, Bernard S Chang.   

Abstract

Baseline neurodynamics are believed to play an important role in normal brain function. A potentially intrinsic property of the brain is the weak coupling between networks at rest, which enables it to be flexible, adapt, process novel stimuli, and learn. Brain regions become differentially coordinated in response to cognitive task and behavior demands and external stimuli. However, abnormally synchronized resting brain networks may also be associated with different pathologies. We investigated baseline network dynamics in the epileptic brain using information theoretic parameters to quantify coupling and directionality of information flow between different cortical regions. We estimated relative entropy, conditional mutual information and a related measure of directional coupling, from EEGs of patients with epilepsy and healthy subjects. At rest, the healthy brain appears to be characterized by low and non-directional network coupling, whereas the epileptic brain appears to be transiently and directionally synchronized.

Entities:  

Mesh:

Year:  2010        PMID: 21096525      PMCID: PMC3058682          DOI: 10.1109/IEMBS.2010.5627212

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  16 in total

Review 1.  The brainweb: phase synchronization and large-scale integration.

Authors:  F Varela; J P Lachaux; E Rodriguez; J Martinerie
Journal:  Nat Rev Neurosci       Date:  2001-04       Impact factor: 34.870

2.  Electrophysiological signatures of resting state networks in the human brain.

Authors:  D Mantini; M G Perrucci; C Del Gratta; G L Romani; M Corbetta
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-01       Impact factor: 11.205

3.  Inferring the directionality of coupling with conditional mutual information.

Authors:  Martin Vejmelka; Milan Palus
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-02-21

4.  A new method of the description of the information flow in the brain structures.

Authors:  M J Kamiński; K J Blinowska
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

5.  Application of Matched-Filtering to Extract EEG Features and Decouple Signal Contributions from Multiple Seizure Foci in Brain Malformations.

Authors:  Catherine Stamoulis; Bernard S Chang
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2009-06-23

6.  Cross-sample entropy statistic as a measure of complexity and regularity of renal sympathetic nerve activity in the rat.

Authors:  Tao Zhang; Zhuo Yang; John H Coote
Journal:  Exp Physiol       Date:  2007-04-13       Impact factor: 2.969

7.  Spatio-temporal characterizations of non-linear changes in intracranial activities prior to human temporal lobe seizures.

Authors:  M Le Van Quyen; C Adam; J Martinerie; M Baulac; S Clémenceau; F Varela
Journal:  Eur J Neurosci       Date:  2000-06       Impact factor: 3.386

8.  Neocortical seizure foci localization by means of a directed transfer function method.

Authors:  Christopher Wilke; Wim van Drongelen; Michael Kohrman; Bin He
Journal:  Epilepsia       Date:  2009-10-08       Impact factor: 5.864

9.  Epileptic seizures can be anticipated by non-linear analysis.

Authors:  J Martinerie; C Adam; M Le Van Quyen; M Baulac; S Clemenceau; B Renault; F J Varela
Journal:  Nat Med       Date:  1998-10       Impact factor: 53.440

10.  Analysis of mesial temporal seizure onset and propagation using the directed transfer function method.

Authors:  P J Franaszczuk; G K Bergey; M J Kamiński
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1994-12
View more
  3 in total

1.  Altered amygdalar resting-state connectivity in depression is explained by both genes and environment.

Authors:  Aldo Córdova-Palomera; Cristian Tornador; Carles Falcón; Nuria Bargalló; Igor Nenadic; Gustavo Deco; Lourdes Fañanás
Journal:  Hum Brain Mapp       Date:  2015-06-19       Impact factor: 5.038

2.  Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization.

Authors:  Aldo Córdova-Palomera; Cristian Tornador; Carles Falcón; Nuria Bargalló; Paolo Brambilla; Benedicto Crespo-Facorro; Gustavo Deco; Lourdes Fañanás
Journal:  Sci Rep       Date:  2016-11-28       Impact factor: 4.379

3.  A probabilistic model of functional brain connectivity network for discovering novel biomarkers.

Authors:  Jiang Bian; Mengjun Xie; Umit Topaloglu; Josh M Cisler
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2013-03-18
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.