Abstract
Works in literature analyse neuronal electrical source distribution on human brain cortex from noninvasive measurements of electric potentials at multichannel scalp electrodes (Electroencephalography). In this paper a new technique, based on entropy, is introduced to study the synchronization of the electric activity of neuronal sources in the brain. An abnormal synchronization (abnormal interactions between the electrodes) can result in an epileptic seizure and Renyi's entropy topography and its spatial clustering are proposed to measure this interaction and to provide a spatial picture of its distribution over the cortex. Three EEG dataset from patients affected by partial epilepsy were analysed. Entropy showed a very steady spatial distribution and a clear relationship with the region of seizure onset. Entropy mapping was compared with the standard power mapping that was much less stable and selective. A SOM based spatial clustering of entropy topography showed that the critical electrodes were coupled together long time before the seizure onset.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Joint Conference on Neural Networks |
| Pages | 1981-1986 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: Jun 14 2009 → Jun 19 2009 |
Other
| Other | 2009 International Joint Conference on Neural Networks, IJCNN 2009 |
|---|---|
| Country | United States |
| City | Atlanta, GA |
| Period | 6/14/09 → 6/19/09 |
Fingerprint
Keywords
- Electroencephalography
- Epilepsy
- Renyi's entropy
- SOM
ASJC Scopus subject areas
- Software
- Artificial Intelligence
Cite this
Entropy spatial clustering in epileptic EEG. / Mammone, Nadia; Inuso, Giuseppina; La Foresta, Fabio; Versaci, Mario; Morabito, Francesco C.
Proceedings of the International Joint Conference on Neural Networks. 2009. p. 1981-1986 5178871.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Entropy spatial clustering in epileptic EEG
AU - Mammone, Nadia
AU - Inuso, Giuseppina
AU - La Foresta, Fabio
AU - Versaci, Mario
AU - Morabito, Francesco C.
PY - 2009
Y1 - 2009
N2 - Works in literature analyse neuronal electrical source distribution on human brain cortex from noninvasive measurements of electric potentials at multichannel scalp electrodes (Electroencephalography). In this paper a new technique, based on entropy, is introduced to study the synchronization of the electric activity of neuronal sources in the brain. An abnormal synchronization (abnormal interactions between the electrodes) can result in an epileptic seizure and Renyi's entropy topography and its spatial clustering are proposed to measure this interaction and to provide a spatial picture of its distribution over the cortex. Three EEG dataset from patients affected by partial epilepsy were analysed. Entropy showed a very steady spatial distribution and a clear relationship with the region of seizure onset. Entropy mapping was compared with the standard power mapping that was much less stable and selective. A SOM based spatial clustering of entropy topography showed that the critical electrodes were coupled together long time before the seizure onset.
AB - Works in literature analyse neuronal electrical source distribution on human brain cortex from noninvasive measurements of electric potentials at multichannel scalp electrodes (Electroencephalography). In this paper a new technique, based on entropy, is introduced to study the synchronization of the electric activity of neuronal sources in the brain. An abnormal synchronization (abnormal interactions between the electrodes) can result in an epileptic seizure and Renyi's entropy topography and its spatial clustering are proposed to measure this interaction and to provide a spatial picture of its distribution over the cortex. Three EEG dataset from patients affected by partial epilepsy were analysed. Entropy showed a very steady spatial distribution and a clear relationship with the region of seizure onset. Entropy mapping was compared with the standard power mapping that was much less stable and selective. A SOM based spatial clustering of entropy topography showed that the critical electrodes were coupled together long time before the seizure onset.
KW - Electroencephalography
KW - Epilepsy
KW - Renyi's entropy
KW - SOM
UR - http://www.scopus.com/inward/record.url?scp=70449445693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449445693&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2009.5178871
DO - 10.1109/IJCNN.2009.5178871
M3 - Conference contribution
AN - SCOPUS:70449445693
SN - 9781424435531
SP - 1981
EP - 1986
BT - Proceedings of the International Joint Conference on Neural Networks
ER -