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Mapping the epileptic brain with EEG dynamical connectivity: established methods and novel approaches

Margarita Papadopoulou UGent, Kristl Vonck UGent, Paul Boon UGent and Daniele Marinazzo UGent (2012) EUROPEAN PHYSICAL JOURNAL PLUS. 127(11).
abstract
Several algorithms rooted in statistical physics, mathematics and machine learning are used to analyze neuroimaging data from patients suffering from epilepsy, with the main goals of localizing the brain region where the seizure originates from and of detecting upcoming seizure activity in order to trigger therapeutic neurostimulation devices. Some of these methods explore the dynamical connections between brain regions, exploiting the high temporal resolution of the electroencephalographic signals recorded at the scalp or directly from the cortical surface or in deeper brain areas. In this paper we describe this specific class of algorithms and their clinical application, by reviewing the state of the art and reporting their application on EEG data from an epileptic patient.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
NETWORKS, GRANGER CAUSALITY, COHERENCE, SEIZURE PREDICTION, ELECTRICAL-ACTIVITY, SPATIOTEMPORAL DYNAMICS, TIME-SERIES, DIRECTED TRANSFER-FUNCTION, INFORMATION-FLOW, TEMPORAL-LOBE EPILEPSY
journal title
EUROPEAN PHYSICAL JOURNAL PLUS
Eur. Phys. J. Plus
volume
127
issue
11
article_number
144
pages
13 pages
Web of Science type
Article
Web of Science id
000312532100013
JCR category
PHYSICS, MULTIDISCIPLINARY
JCR impact factor
1.302 (2012)
JCR rank
39/83 (2012)
JCR quartile
2 (2012)
ISSN
2190-5444
DOI
10.1140/epjp/i2012-12144-5
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
VABB id
c:vabb:336811
VABB type
VABB-1
id
3060256
handle
http://hdl.handle.net/1854/LU-3060256
date created
2012-11-26 14:20:37
date last changed
2014-01-23 14:30:42
@article{3060256,
  abstract     = {Several algorithms rooted in statistical physics, mathematics and machine learning are used to analyze neuroimaging data from patients suffering from epilepsy, with the main goals of localizing the brain region where the seizure originates from and of detecting upcoming seizure activity in order to trigger therapeutic neurostimulation devices. Some of these methods explore the dynamical connections between brain regions, exploiting the high temporal resolution of the electroencephalographic signals recorded at the scalp or directly from the cortical surface or in deeper brain areas. In this paper we describe this specific class of algorithms and their clinical application, by reviewing the state of the art and reporting their application on EEG data from an epileptic patient.},
  articleno    = {144},
  author       = {Papadopoulou, Margarita and Vonck, Kristl and Boon, Paul and Marinazzo, Daniele},
  issn         = {2190-5444},
  journal      = {EUROPEAN PHYSICAL JOURNAL PLUS},
  keyword      = {NETWORKS,GRANGER CAUSALITY,COHERENCE,SEIZURE PREDICTION,ELECTRICAL-ACTIVITY,SPATIOTEMPORAL DYNAMICS,TIME-SERIES,DIRECTED TRANSFER-FUNCTION,INFORMATION-FLOW,TEMPORAL-LOBE EPILEPSY},
  language     = {eng},
  number       = {11},
  pages        = {13},
  title        = {Mapping the epileptic brain with EEG dynamical connectivity: established methods and novel approaches},
  url          = {http://dx.doi.org/10.1140/epjp/i2012-12144-5},
  volume       = {127},
  year         = {2012},
}

Chicago
Papadopoulou, Margarita, Kristl Vonck, Paul Boon, and Daniele Marinazzo. 2012. “Mapping the Epileptic Brain with EEG Dynamical Connectivity: Established Methods and Novel Approaches.” European Physical Journal Plus 127 (11).
APA
Papadopoulou, M., Vonck, K., Boon, P., & Marinazzo, D. (2012). Mapping the epileptic brain with EEG dynamical connectivity: established methods and novel approaches. EUROPEAN PHYSICAL JOURNAL PLUS, 127(11).
Vancouver
1.
Papadopoulou M, Vonck K, Boon P, Marinazzo D. Mapping the epileptic brain with EEG dynamical connectivity: established methods and novel approaches. EUROPEAN PHYSICAL JOURNAL PLUS. 2012;127(11).
MLA
Papadopoulou, Margarita, Kristl Vonck, Paul Boon, et al. “Mapping the Epileptic Brain with EEG Dynamical Connectivity: Established Methods and Novel Approaches.” EUROPEAN PHYSICAL JOURNAL PLUS 127.11 (2012): n. pag. Print.