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

被引:30
作者
Dickten, Henning [1 ,2 ,3 ]
Porz, Stephan [1 ,2 ]
Elger, Christian E. [1 ]
Lehnertz, Klaus [1 ,2 ,3 ]
机构
[1] Univ Bonn, Dept Epileptol, Sigmund Freud Str 25, D-53105 Bonn, Germany
[2] Univ Bonn, Helmholtz Inst Radiat & Nucl Phys, Nussallee 14-16, D-53115 Bonn, Germany
[3] Univ Bonn, Interdisciplinary Ctr Complex Syst, Bruhler Str 7, D-53175 Bonn, Germany
关键词
SEIZURE ONSET ZONE; TIME-SERIES; EPILEPTOGENIC NETWORKS; PHASE SYNCHRONIZATION; EEG SIGNALS; DYNAMICS; CONNECTIVITY; FOCI; LOCALIZATION; CAUSALITY;
D O I
10.1038/srep34824
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Epilepsy can be regarded as a network phenomenon with functionally and/or structurally aberrant connections in the brain. Over the past years, concepts and methods from network theory substantially contributed to improve the characterization of structure and function of these epileptic networks and thus to advance understanding of the dynamical disease epilepsy. We extend this promising line of research and assess-with high spatial and temporal resolution and using complementary analysis approaches that capture different characteristics of the complex dynamics-both strength and direction of interactions in evolving large-scale epileptic brain networks of 35 patients that suffered from drug-resistant focal seizures with different anatomical onset locations. Despite this heterogeneity, we find that even during the seizure-free interval the seizure onset zone is a brain region that, when averaged over time, exerts strongest directed influences over other brain regions being part of a large-scale network. This crucial role, however, manifested by averaging on the population-sample level only-in more than one third of patients, strongest directed interactions can be observed between brain regions far off the seizure onset zone. This may guide new developments for individualized diagnosis, treatment and control.
引用
收藏
页数:13
相关论文
共 70 条
[1]   MAINTAINING KNOWLEDGE ABOUT TEMPORAL INTERVALS [J].
ALLEN, JF .
COMMUNICATIONS OF THE ACM, 1983, 26 (11) :832-843
[2]   Using bivariate signal analysis to characterize the epileptic focus: The benefit of surrogates [J].
Andrzejak, R. G. ;
Chicharro, D. ;
Lehnertz, K. ;
Mormann, F. .
PHYSICAL REVIEW E, 2011, 83 (04)
[3]  
[Anonymous], 1993, SURG TREATMENT EPILE
[4]   Permutation entropy: A natural complexity measure for time series [J].
Bandt, C ;
Pompe, B .
PHYSICAL REVIEW LETTERS, 2002, 88 (17) :4
[5]   Detecting and localizing the foci in human epileptic seizures [J].
Ben-Jacob, Eshel ;
Boccaletti, Stefano ;
Pomyalov, Anna ;
Procaccia, Itamar ;
Towle, Vernon L. .
CHAOS, 2007, 17 (04)
[6]   Interictal Functional Connectivity of Human Epileptic Networks Assessed by Intracerebral EEG and BOLD Signal Fluctuations [J].
Bettus, Gaelle ;
Ranjeva, Jean-Philippe ;
Wendling, Fabrice ;
Benar, Christian G. ;
Confort-Gouny, Sylviane ;
Regis, Jean ;
Chauvel, Patrick ;
Cozzone, Patrick J. ;
Lemieux, Louis ;
Bartolomei, Fabrice ;
Guye, Maxime .
PLOS ONE, 2011, 6 (05)
[7]  
Boashash B., 1992, TIME FREQUENCY SIGNA
[8]   Complex networks: Structure and dynamics [J].
Boccaletti, S. ;
Latora, V. ;
Moreno, Y. ;
Chavez, M. ;
Hwang, D. -U. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5) :175-308
[9]   Network dynamics of the brain and influence of the epileptic seizure onset zone [J].
Burns, Samuel P. ;
Santaniello, Sabato ;
Yaffe, Robert B. ;
Jouny, Christophe C. ;
Crone, Nathan E. ;
Bergey, Gregory K. ;
Anderson, William S. ;
Sarma, Sridevi V. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (49) :E5321-E5330
[10]   Dynamic directed interictal connectivity in left and right temporal lobe epilepsy [J].
Coito, Ana ;
Plomp, Gijs ;
Genetti, Melanie ;
Abela, Eugenio ;
Wiest, Roland ;
Seeck, Margitta ;
Michel, Christoph M. ;
Vulliemoz, Serge .
EPILEPSIA, 2015, 56 (02) :207-217