NDLI: Analysis of epileptogenic network properties during ictal activity

Content Provider	IEEE Xplore Digital Library
Author	Wilke, C. Worrell, G.A. Bin He
Copyright Year	2009
Description	Author affiliation: Department of Biomedical Engineering at the University of Minnesota, 7-105 NHH, 312 Church Street SE, Minneapolis, MN 55455 USA (Wilke, C.; Bin He) \|\| Department of Neurology at the Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA (Worrell, G.A.)
Abstract	In the present study, we utilize methods from graph theory to analyze epileptogenic network properties during periods of ictal activity. Using these methods, we analyzed the DTF-based causal information flow in nine seizures recorded from two patients undergoing presurgical monitoring for the treatment of medically intractable epilepsy. From the results, we observed a high degree of correlation between the regions with a high amount of information outflow (termed the outdegree) and the cortical areas identified clinically as the generators of the ictal activity. We furthermore observe a frequency-dependent correlation between the co-localization of these “activated regions” and the clinical foci. These findings suggest that application of network analysis tools to ictal activity could provide clinically useful information concerning these epileptogenic networks.
Starting Page	2220
Ending Page	2223
File Size	1431205
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334866
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Epilepsy Biomedical measurements Biomedical imaging Graph theory Patient monitoring Medical treatment Medical diagnostic imaging Surgery Helium Information 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

Analysis of Epileptogenic Network Properties During Ictal Activity

Texture characterization of carotid atherosclerotic plaque from B-mode ultrasound using gabor filters

Bayesian Networks for Cardiovascular Monitoring

Insomnia Treatment Assessment Based on Physiological Data Analysis

Analysis of Epileptogenic Network Properties During Ictal Activity

Dynamic imaging of ictal rhythmic activity using dense-array EEG

Agitation and pain assessment using digital imaging

Interictal ECoG spikes as reflected in MEG

Field deployable EEG monitor for nerve agent casualties

Analysis of epileptogenic network properties during ictal activity

Similar Documents

Analysis of Epileptogenic Network Properties During Ictal Activity

Texture characterization of carotid atherosclerotic plaque from B-mode ultrasound using gabor filters

Bayesian Networks for Cardiovascular Monitoring

Insomnia Treatment Assessment Based on Physiological Data Analysis

Analysis of Epileptogenic Network Properties During Ictal Activity

Dynamic imaging of ictal rhythmic activity using dense-array EEG

Agitation and pain assessment using digital imaging

Interictal ECoG spikes as reflected in MEG

Field deployable EEG monitor for nerve agent casualties

Analysis of epileptogenic network properties during ictal activity