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Changes in connectivity patterns in the kainate model of epilepsy

Pieter van Mierlo UGent, Sara Assecondi UGent, Steven Staelens UGent, Paul Boon UGent and Ignace Lemahieu UGent (2009) IFMBE Proceedings. 22(1-3). p.360-363
abstract
Epilepsy is a neurological disorder characterized by seizures, i.e. excessive and hyper synchronous activity of neurons in the brain. ElectroEncephaloGram (EEG) is the recording of brain activity in time through electrodes placed on the scalp and is one of the most used techniques to monitor brain activity. In order to identify pattern of propagation across brain areas that are specific to epilepsy, connectivity measures such as the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC) have been developed. These measures reveal connections between different areas by exploiting statistical dependencies within multichannel EEG recordings. This work proposes a framework to identify and compare interdependencies between EEG signals in different brain states. We considered an animal model of epilepsy characterized by spontaneous recurrent seizures. In three rats we identified a normal healthy baseline state and an epileptic state for which we estimated interdependencies between EEG channels using DTF and PDC and extracted significant differences between both states. We showed the feasibility of detection of connectivity patterns in a simple animal model of epilepsy. We found common patterns of propagation in the brain of the three rats during the baseline state. After the kainic acid injection, the connectivity pattern of interictal period is significantly altered compared to the baseline situation. Inter-rat variations are observed, but the intra-rat pattern alterations are consistent in time, revealing that the kainic acid permanently changes the brain connectivity.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
Animal model of epilepsy, connectivity, electroencephalogram
in
IFMBE Proceedings
editor
J Vander Sloten, Pascal Verdonck UGent, M Nyssen and J Haueisen
volume
22
issue
1-3
issue title
4th European conference of the International Federation for Medical and Biological Engineering
pages
360 - 363
publisher
Springer
place of publication
New York, NY, USA
conference name
4th European conference of the International Federation for Medical and Biological Engineering
conference location
Antwerp, Belgium
conference start
2008-11-23
conference end
2008-11-27
Web of Science type
Proceedings Paper
Web of Science id
000299998500085
ISSN
1680-0737
ISBN
9783540892083
9783540892076
DOI
10.1007/978-3-540-89208-3_85
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
677838
handle
http://hdl.handle.net/1854/LU-677838
date created
2009-06-04 13:13:08
date last changed
2012-12-12 10:22:42
@inproceedings{677838,
  abstract     = {Epilepsy is a neurological disorder characterized by seizures, i.e. excessive and hyper synchronous activity of neurons in the brain. ElectroEncephaloGram (EEG) is the recording of brain activity in time through electrodes placed on the scalp and is one of the most used techniques to monitor brain activity. In order to identify pattern of propagation across brain areas that are specific to epilepsy, connectivity measures such as the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC) have been developed. These measures reveal connections between different areas by exploiting statistical dependencies within multichannel EEG recordings. This work proposes a framework to identify and compare interdependencies between EEG signals in different brain states. We considered an animal model of epilepsy characterized by spontaneous recurrent seizures. In three rats we identified a normal healthy baseline state and an epileptic state for which we estimated interdependencies between EEG channels using DTF and PDC and extracted significant differences between both states. We showed the feasibility of detection of connectivity patterns in a simple animal model of epilepsy. We found common patterns of propagation in the brain of the three rats during the baseline state. After the kainic acid injection, the connectivity pattern of interictal period is significantly altered compared to the baseline situation. Inter-rat variations are observed, but the intra-rat pattern alterations are consistent in time, revealing that the kainic acid permanently changes the brain connectivity.},
  author       = {van Mierlo, Pieter and Assecondi, Sara and Staelens, Steven and Boon, Paul and Lemahieu, Ignace},
  booktitle    = {IFMBE Proceedings},
  editor       = {Vander Sloten, J and Verdonck, Pascal and Nyssen, M and Haueisen, J},
  isbn         = {9783540892083},
  issn         = {1680-0737},
  keyword      = {Animal model of epilepsy,connectivity,electroencephalogram},
  language     = {eng},
  location     = {Antwerp, Belgium},
  number       = {1-3},
  pages        = {360--363},
  publisher    = {Springer},
  title        = {Changes in connectivity patterns in the kainate model of epilepsy},
  url          = {http://dx.doi.org/10.1007/978-3-540-89208-3\_85},
  volume       = {22},
  year         = {2009},
}

Chicago
van Mierlo, Pieter, Sara Assecondi, Steven Staelens, Paul Boon, and Ignace Lemahieu. 2009. “Changes in Connectivity Patterns in the Kainate Model of Epilepsy.” In IFMBE Proceedings, ed. J Vander Sloten, Pascal Verdonck, M Nyssen, and J Haueisen, 22:360–363. New York, NY, USA: Springer.
APA
van Mierlo, P., Assecondi, S., Staelens, S., Boon, P., & Lemahieu, I. (2009). Changes in connectivity patterns in the kainate model of epilepsy. In J Vander Sloten, P. Verdonck, M. Nyssen, & J. Haueisen (Eds.), IFMBE Proceedings (Vol. 22, pp. 360–363). Presented at the 4th European conference of the International Federation for Medical and Biological Engineering, New York, NY, USA: Springer.
Vancouver
1.
van Mierlo P, Assecondi S, Staelens S, Boon P, Lemahieu I. Changes in connectivity patterns in the kainate model of epilepsy. In: Vander Sloten J, Verdonck P, Nyssen M, Haueisen J, editors. IFMBE Proceedings. New York, NY, USA: Springer; 2009. p. 360–3.
MLA
van Mierlo, Pieter, Sara Assecondi, Steven Staelens, et al. “Changes in Connectivity Patterns in the Kainate Model of Epilepsy.” IFMBE Proceedings. Ed. J Vander Sloten et al. Vol. 22. New York, NY, USA: Springer, 2009. 360–363. Print.