Localization of seizure focus using interictal intracranial EEG

The World Health Organization states that around 50 million people worldwide are suffering from epilepsy. Epilepsy is a chronic non-communicable disorder of the brain, characterized by seizures that occur at unpredictable moments. The usual methods of treatment for epilepsy are anti-epileptic medica...

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Main Author: Mohapatra, Disha.
Other Authors: Justin Dauwels
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/53023
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-530232023-07-07T16:14:19Z Localization of seizure focus using interictal intracranial EEG Mohapatra, Disha. Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering The World Health Organization states that around 50 million people worldwide are suffering from epilepsy. Epilepsy is a chronic non-communicable disorder of the brain, characterized by seizures that occur at unpredictable moments. The usual methods of treatment for epilepsy are anti-epileptic medications and surgical resection of the brain area where the epileptic seizure originated. In 70% of the cases, medication proves to have side effects. Thus, surgery proves to be the most effective form of treatment. This highlights the importance of precisely localizing the seizure focus which is the main objective of this report. Analysis of electroencephalography from brains of certain patients and animals has shown to contain some unusual features in the seizure regions. This project analyzes raw electroencephalography signals from patients in the aim of helping in localization of the seizure focus. Our hypothesis is that even at rest, seizure features such as high frequency oscillations (HFOs) and interictal spikes are highly correlated to the seizure focus. The results proved to be encouraging by rendering a correlation among high frequency oscillations, spikes and epileptic seizure area. Such an outcome definitely sustains a path for further research analysis of Clinical Electroencephalography (EEG) for diagnosis of Epilepsy by incorporating more features and advanced algorithms. Bachelor of Engineering 2013-05-29T07:51:31Z 2013-05-29T07:51:31Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53023 en Nanyang Technological University 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Mohapatra, Disha.
Localization of seizure focus using interictal intracranial EEG
description The World Health Organization states that around 50 million people worldwide are suffering from epilepsy. Epilepsy is a chronic non-communicable disorder of the brain, characterized by seizures that occur at unpredictable moments. The usual methods of treatment for epilepsy are anti-epileptic medications and surgical resection of the brain area where the epileptic seizure originated. In 70% of the cases, medication proves to have side effects. Thus, surgery proves to be the most effective form of treatment. This highlights the importance of precisely localizing the seizure focus which is the main objective of this report. Analysis of electroencephalography from brains of certain patients and animals has shown to contain some unusual features in the seizure regions. This project analyzes raw electroencephalography signals from patients in the aim of helping in localization of the seizure focus. Our hypothesis is that even at rest, seizure features such as high frequency oscillations (HFOs) and interictal spikes are highly correlated to the seizure focus. The results proved to be encouraging by rendering a correlation among high frequency oscillations, spikes and epileptic seizure area. Such an outcome definitely sustains a path for further research analysis of Clinical Electroencephalography (EEG) for diagnosis of Epilepsy by incorporating more features and advanced algorithms.
author2 Justin Dauwels
author_facet Justin Dauwels
Mohapatra, Disha.
format Final Year Project
author Mohapatra, Disha.
author_sort Mohapatra, Disha.
title Localization of seizure focus using interictal intracranial EEG
title_short Localization of seizure focus using interictal intracranial EEG
title_full Localization of seizure focus using interictal intracranial EEG
title_fullStr Localization of seizure focus using interictal intracranial EEG
title_full_unstemmed Localization of seizure focus using interictal intracranial EEG
title_sort localization of seizure focus using interictal intracranial eeg
publishDate 2013
url http://hdl.handle.net/10356/53023
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