Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm

Mohamed Amin Latif, Abbas Babajani-Feremi, Daniel Barkmeier, Jeffery A. Leob, Hamid Soltanian-Zadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.

Original languageEnglish (US)
Title of host publication2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings
DOIs
StatePublished - Dec 1 2010
Event17th Iranian Conference in Biomedical Engineering, ICBME 2010 - Isfahan, Iran, Islamic Republic of
Duration: Nov 3 2010Nov 4 2010

Publication series

Name2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings

Other

Other17th Iranian Conference in Biomedical Engineering, ICBME 2010
CountryIran, Islamic Republic of
CityIsfahan
Period11/3/1011/4/10

Fingerprint

Independent component analysis
Brain
Refractory materials
Neocortex
Cerebral Cortex
Electrodes
Monitoring
Epilepsy
Joints
Electrocorticography

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Physiology
  • Information Systems
  • Signal Processing

Cite this

Latif, M. A., Babajani-Feremi, A., Barkmeier, D., Leob, J. A., & Soltanian-Zadeh, H. (2010). Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm. In 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings [5704921] (2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings). https://doi.org/10.1109/ICBME.2010.5704921

Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm. / Latif, Mohamed Amin; Babajani-Feremi, Abbas; Barkmeier, Daniel; Leob, Jeffery A.; Soltanian-Zadeh, Hamid.

2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings. 2010. 5704921 (2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Latif, MA, Babajani-Feremi, A, Barkmeier, D, Leob, JA & Soltanian-Zadeh, H 2010, Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm. in 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings., 5704921, 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings, 17th Iranian Conference in Biomedical Engineering, ICBME 2010, Isfahan, Iran, Islamic Republic of, 11/3/10. https://doi.org/10.1109/ICBME.2010.5704921
Latif MA, Babajani-Feremi A, Barkmeier D, Leob JA, Soltanian-Zadeh H. Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm. In 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings. 2010. 5704921. (2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings). https://doi.org/10.1109/ICBME.2010.5704921
Latif, Mohamed Amin ; Babajani-Feremi, Abbas ; Barkmeier, Daniel ; Leob, Jeffery A. ; Soltanian-Zadeh, Hamid. / Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm. 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings. 2010. (2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings).
@inproceedings{46aed3eb17064d928bc824f9d18f61ac,
title = "Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm",
abstract = "The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.",
author = "Latif, {Mohamed Amin} and Abbas Babajani-Feremi and Daniel Barkmeier and Leob, {Jeffery A.} and Hamid Soltanian-Zadeh",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/ICBME.2010.5704921",
language = "English (US)",
isbn = "9781424474844",
series = "2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings",
booktitle = "2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings",

}

TY - GEN

T1 - Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm

AU - Latif, Mohamed Amin

AU - Babajani-Feremi, Abbas

AU - Barkmeier, Daniel

AU - Leob, Jeffery A.

AU - Soltanian-Zadeh, Hamid

PY - 2010/12/1

Y1 - 2010/12/1

N2 - The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.

AB - The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.

UR - http://www.scopus.com/inward/record.url?scp=79951739620&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951739620&partnerID=8YFLogxK

U2 - 10.1109/ICBME.2010.5704921

DO - 10.1109/ICBME.2010.5704921

M3 - Conference contribution

SN - 9781424474844

T3 - 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings

BT - 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings

ER -