DocumentCode :
1428196
Title :
EEG dipole source localization
Author :
Cuffin, B.Neil
Author_Institution :
Beth Israel Deaconess Med. Center, Boston, MA, USA
Volume :
17
Issue :
5
fYear :
1998
Firstpage :
118
Lastpage :
122
Abstract :
Considers using inverse solutions for determining source locations. Dipole source localization using EEGs recorded from the scalp is widely used to make estimates of the locations of sources of electrical activity in the brain. Such information can be very useful for both clinical and research applications. For example, in clinical applications, accurate information about the location of an epileptic focus (source) in the brain can be used to plan surgery for its removal. Likewise, information about the regions of the brain that process various signals (e.g., an auditory tone) can provide valuable research information about the functioning of the brain. It is necessary to assume a model of the source and a model of the head in order to estimate the location of a source. Once these models are selected, an inverse solution can be calculated for the location of the source in the head model. This source is then assumed to represent the actual source. The accuracy with which a source can be located by this method is affected by a number of factors including source-modeling errors, head-modeling errors, measurement-location errors, and EEG noise. This article presents a review of the research dealing with the effects of these factors on localization accuracy.
Keywords :
brain models; electroencephalography; inverse problems; reviews; EEG dipole source localization; auditory tone; brain functioning; brain regions; electrodiagnostics; epileptic focus; head model; research review; scalp-recorded EEGs; surgery planning; Active noise reduction; Brain modeling; Conductivity; Displays; Electroencephalography; Inverse problems; Magnetic heads; Muscles; Scalp; Skull; Biomedical Engineering; Brain; Electroencephalography; Humans; Models, Anatomic; Models, Neurological;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.715495
Filename :
715495
Link To Document :
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