Literature DB >> 25548267

Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients.

Klaus Lehnertz1, Henning Dickten2.   

Abstract

Inferring strength and direction of interactions from electroencephalographic (EEG) recordings is of crucial importance to improve our understanding of dynamical interdependencies underlying various physiological and pathophysiological conditions in the human epileptic brain. We here use approaches from symbolic analysis to investigate--in a time-resolved manner--weighted and directed, short- to long-ranged interactions between various brain regions constituting the epileptic network. Our observations point to complex spatial-temporal interdependencies underlying the epileptic process and their role in the generation of epileptic seizures, despite the massive reduction of the complex information content of multi-day, multi-channel EEG recordings through symbolization. We discuss limitations and potential future improvements of this approach.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  EEG; epilepsy; epileptic network; symbolic transfer entropy

Year:  2015        PMID: 25548267      PMCID: PMC4281866          DOI: 10.1098/rsta.2014.0094

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  96 in total

1.  Neural networks in human epilepsy: evidence of and implications for treatment.

Authors:  Susan S Spencer
Journal:  Epilepsia       Date:  2002-03       Impact factor: 5.864

Review 2.  The pharmacological treatment of epilepsy in adults.

Authors:  Emilio Perucca; Torbjörn Tomson
Journal:  Lancet Neurol       Date:  2011-05       Impact factor: 44.182

Review 3.  Nonlinear multivariate analysis of neurophysiological signals.

Authors:  Ernesto Pereda; Rodrigo Quian Quiroga; Joydeep Bhattacharya
Journal:  Prog Neurobiol       Date:  2005-11-14       Impact factor: 11.685

4.  Momentary information transfer as a coupling measure of time series.

Authors:  Bernd Pompe; Jakob Runge
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-05-19

5.  Identifying delayed directional couplings with symbolic transfer entropy.

Authors:  Henning Dickten; Klaus Lehnertz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-12-08

6.  Symbolic transfer entropy analysis of the dust interaction in the presence of wakefields in dusty plasmas.

Authors:  André Melzer; André Schella
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-04-24

7.  Temporal lobe seizure prediction based on a complex Gaussian wavelet.

Authors:  Lei Wang; Chao Wang; Feng Fu; Xiao Yu; Heng Guo; Canhua Xu; Xiaorong Jing; Hua Zhang; Xiuzhen Dong
Journal:  Clin Neurophysiol       Date:  2010-10-25       Impact factor: 3.708

8.  Detecting and localizing the foci in human epileptic seizures.

Authors:  Eshel Ben-Jacob; Stefano Boccaletti; Anna Pomyalov; Itamar Procaccia; Vernon L Towle
Journal:  Chaos       Date:  2007-12       Impact factor: 3.642

9.  Disruption of frontal-parietal communication by ketamine, propofol, and sevoflurane.

Authors:  UnCheol Lee; SeungWoo Ku; GyuJeong Noh; SeungHye Baek; ByungMoon Choi; George A Mashour
Journal:  Anesthesiology       Date:  2013-06       Impact factor: 7.892

10.  Independent delta/theta rhythms in the human hippocampus and entorhinal cortex.

Authors:  Florian Mormann; Hannes Osterhage; Ralph G Andrzejak; Bernd Weber; Guillén Fernández; Juergen Fell; Christian E Elger; Klaus Lehnertz
Journal:  Front Hum Neurosci       Date:  2008-05-15       Impact factor: 3.169

View more
  6 in total

1.  Enhancing dynamical signatures of complex systems through symbolic computation.

Authors:  Alberto Porta; Mathias Baumert; Dirk Cysarz; Niels Wessel
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-02-13       Impact factor: 4.226

2.  Weighted and directed interactions in evolving large-scale epileptic brain networks.

Authors:  Henning Dickten; Stephan Porz; Christian E Elger; Klaus Lehnertz
Journal:  Sci Rep       Date:  2016-10-06       Impact factor: 4.379

3.  Precursors of seizures due to specific spatial-temporal modifications of evolving large-scale epileptic brain networks.

Authors:  Thorsten Rings; Randi von Wrede; Klaus Lehnertz
Journal:  Sci Rep       Date:  2019-07-23       Impact factor: 4.379

4.  A Spherical Phase Space Partitioning Based Symbolic Time Series Analysis (SPSP-STSA) for Emotion Recognition Using EEG Signals.

Authors:  Hoda Tavakkoli; Ali Motie Nasrabadi
Journal:  Front Hum Neurosci       Date:  2022-06-29       Impact factor: 3.473

5.  Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing.

Authors:  Christian Geier; Klaus Lehnertz; Stephan Bialonski
Journal:  Front Hum Neurosci       Date:  2015-08-20       Impact factor: 3.169

6.  Detection of epileptic seizure based on entropy analysis of short-term EEG.

Authors:  Peng Li; Chandan Karmakar; John Yearwood; Svetha Venkatesh; Marimuthu Palaniswami; Changchun Liu
Journal:  PLoS One       Date:  2018-03-15       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.