NDLI: ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy

Content Provider	IEEE Xplore Digital Library
Author	Hunyadi, B. Mijovic, B. Tousseyn, S. Dupont, P. Van Paesschen, W. Van Huffel, S. De Vos, M.
Copyright Year	2012
Abstract	EEG-fMRI is a recently emerging tool that can be used in the presurgical evaluation of focal epilepsy patients. Standard analysis techniques rely on the principle that fMRI can provide accurate localization of hemodynamic changes corresponding to events observed on EEG. However, its applicability is limited as EEG does not always provide sufficient and reliable information on the timing of the epileptic activity. Therefore, there is an increasing demand for techniques capable of localizing the epileptic activity based solely on the fMRI time series. Independent component analysis (ICA) has been shown to separate epileptic activity in the fMRI from other neural sources, artifacts and noise. We propose here to automatically detect the epileptic component based on sparse reconstruction in the activelet basis. The algorithm was evaluated on a dataset of 10 patients. It is shown that the largest activation cluster of the identified component overlapped with the ictal onset zone (IOZ) in all 3 patients with sparse interictal spike timing. In the 7 other patients, the selected component either overlapped with the IOZ and/or the ictal hyperperfusion, or correlated with the EEG-derived time course of the interictal activity. We conclude that the proposed technique might be able to identify epileptic components without using EEG.
Starting Page	21
Ending Page	24
File Size	190038
Page Count	4
File Format	PDF
ISBN	9781467321822
DOI	10.1109/PRNI.2012.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Noise Epilepsy ICA Activelet Brain modeling Electroencephalography Timing Transient analysis FMRI
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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