Prediction of multifocal epileptogenic zones using normalized transfer entropy

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

Abstract

Stereo-EEG with multiple intra-cerebral depth electrodes is a pre-surgical tool for monitoring and analyzing the electrophysiological signals from the brain. The standard method of evaluating these signals by visually identifying the changes in the EEG signal is being slowly replaced by the transfer entropy that accurately accounts for non-linearity and incorporates dynamic interactions between the systems. Partial epilepsy can arise from a single focus or have multifocal onset. Knowing the number of epileptic foci and their location is essential to guide the choice of treatments recommended to the patient. Epilepsy that initially appears to be unifocal, based on simple visual analysis, may turn out to be multifocal on more detailed evaluation. In this paper, we computed the directional information transfer for all possible pairs of the 80 signals that were collected from the brain of an epileptic patient. We have localized the epileptogenic zones (EZs) and identified multiple seizure focal points in the patient from the plots obtained. Understanding such multifocal onset patients and avoiding focused surgical resections in such patients may be important to avoid surgical failures and morbidity.

Original languageEnglish (US)
Title of host publication2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538648735
DOIs
StatePublished - Jan 12 2018
Event2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Philadelphia, United States
Duration: Dec 2 2017 → …

Other

Other2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017
CountryUnited States
CityPhiladelphia
Period12/2/17 → …

Fingerprint

Entropy
Electroencephalography
Brain
Electrodes
Monitoring
Partial Epilepsy
Epilepsy
Seizures
Morbidity

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Clinical Neurology
  • Signal Processing
  • Cardiology and Cardiovascular Medicine

Cite this

Kale, P., Gilmour, T., Acharya, V., Acharya, J., Subramanian, T., & Almekkawy, M. K. (2018). Prediction of multifocal epileptogenic zones using normalized transfer entropy. In 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPMB.2017.8257051
Kale, P. ; Gilmour, T. ; Acharya, Vinita ; Acharya, Jayant ; Subramanian, Thyagarajan ; Almekkawy, Mohamed Khaled. / Prediction of multifocal epileptogenic zones using normalized transfer entropy. 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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Kale, P, Gilmour, T, Acharya, V, Acharya, J, Subramanian, T & Almekkawy, MK 2018, Prediction of multifocal epileptogenic zones using normalized transfer entropy. in 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017, Philadelphia, United States, 12/2/17. https://doi.org/10.1109/SPMB.2017.8257051

Prediction of multifocal epileptogenic zones using normalized transfer entropy. / Kale, P.; Gilmour, T.; Acharya, Vinita; Acharya, Jayant; Subramanian, Thyagarajan; Almekkawy, Mohamed Khaled.

2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

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

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Kale P, Gilmour T, Acharya V, Acharya J, Subramanian T, Almekkawy MK. Prediction of multifocal epileptogenic zones using normalized transfer entropy. In 2017 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.1109/SPMB.2017.8257051