NDLI: Automatic selection of epileptic independent fMRI components

Content Provider	IEEE Xplore Digital Library
Author	Hunyadi, B. Tousseyn, S. Dupont, P. Van Huffel, S. Van Paesschen, W. De Vos, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., KU Leuven, Leuven, Belgium (Hunyadi, B.; Van Huffel, S.) \|\| Lab. for Epilepsy Res., KU Leuven, Leuven, Belgium (Tousseyn, S.; Dupont, P.; Van Paesschen, W.) \|\| Dept. of Psychol., Univ. of Oldenburg, Oldenburg, Germany (De Vos, M.)
Abstract	EEG-correlated fMRI analysis has proven to be useful in localizing regions of BOLD activation related to epileptic activity. However, as EEG does not always provide reliable information, purely fMRI-based data-driven techniques are invaluable. Recently, we have shown that independent component analysis (ICA) can extract sources related to the epileptic network even in such EEG-negative cases [1]. Moreover, these sources were shown to be informative with respect to the seizure onset zone (SOZ). In order to utilize this concept in clinical practice in a prospective manner, this work aims at developing an automatic technique for selecting the epileptic sources. The proposed approach applies a cascade of two classifiers. In the first step artifact related sources are discarded. In the second step the sources are characterized by four discriminative features and epileptic sources are selected from among other BOLD-related components. Our technique reaches a promising 77% specificity and provides concordant sources with the EEG-correlated fMRI activation maps or with the SOZ in 71% of the cases.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	3853
Ending Page	3856
File Size	783929
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944464
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Epilepsy Electroencephalography Feature extraction Sensitivity Dictionaries Independent component analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in