|
|
| Research article summary (published 29 Sep 2009): |
Advances in spike localization with EEG dipole modeling.
Full Abstract
EEG interpretation by visual inspection of waveforms, using the assumption that activity at a given electrode is a representation of only the activity of the cortex immediately beneath it, has been the traditional form of EEG analysis since its inception. The relatively recent advent of digital EEG has allowed more advanced analysis of EEG data and has shown that the simple visual inspection described above is a simplistic form of analysis. This is especially true when one is attempting to localize an epileptogenic focus using EEG spikes or seizure onset data. Spatiotemporal analysis of scalp voltage fields has allowed for improved localization of likely cerebral origins of such waveforms. Equivalent dipole source modeling is one such technique and, although not perfect, provides improved characterization of spike and seizure sources as compared to previous methods when properly interpreted. The use of other modern techniques, such as 3D MRI reconstructions and realistic head models, can further improve accuracy of dipole localization and allow for the synthesis of EEG and imaging data, which may be invaluable, especially in cases of pre-surgical epilepsy evaluation.
Author information
Author/s: Rose, Sandra (S); Ebersole, John S (JS);
Affiliation: Department of Neurology, The University of Chicago, Chicago, Illinois 60637, USA.
Journal and publication information
Publication Type: Journal Article; Review
Journal: Clinical EEG and neuroscience : official journal of the EEG and Clinical Neuroscience Society (ENCS) (Clin EEG Neurosci), published in United States. (Language: eng)
Reference: 2009-Oct; vol 40 (issue 4) : pp 281-7
Dates: Created 2009/09/28; Completed 2009/10/23;
PMID: 19780349, status: MEDLINE (last retrieval date: 10/23/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
External Links for this article
(including full text providers, if available):
Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.
This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.
MeSH headings (categories)
This article was linked to the MESH Headings shown below.
Related articles
These are the highest related articles currently in the database:
- The neuronal sources of EEG: modeling of simultaneous scalp and intracerebral recordings in epilepsy.
23 Apr 2008 - Evolving functional network properties and synchronizability during human epileptic seizures.
30 Aug 2008 - Mapping and assessment of epileptogenic foci using frequency-entropy templates.
3 Nov 2007 - Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings.
29 Nov 2005 - Time-frequency characterization of interdependencies in nonstationary signals: application to epileptic EEG.
29 Jun 2005 - Classification of epilepsy types through global network analysis of scalp electroencephalograms.
15 Apr 2006 - On semi-blind source separation using spatial constraints with applications in EEG analysis.
29 Nov 2006 - Estimating phase synchronization in dynamical systems using cellular nonlinear networks.
27 Jun 2005 - Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques.
28 Feb 2004 - Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction.
27 Feb 2006
Related Article Map
Legend:
- FREE Full text Article.
- Abstract only.
- Title only. More help.
See a large map of 100+ related articles.