BEM-based SMS-LORETA - an advanced method to localize multiple simultaneously active sources in the cerebral cortex

Biology – Quantitative Biology – Neurons and Cognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 2 figures

Scientific paper

In this paper the method and performance data of 'Boundary Element Method (BEM)'-based SMS-LORETA (Simultaneous Multiple Sources LORETA) are presented. According to these data the method is capable of locating efficiently multiple simultaneously active neural sources from scalp potential topographies automatically. BEM-based SMS-LORETA is a procedure to fully interpret sLORETA solutions, i.e., with a given scalp potential distribution it gives the number of identifiable sources as well as their strength and orientation. Performance data result from numerous analyses of simulated noise-free and noise-contaminated potential distributions (topographies) that have been obtained by means of BEM-based forward solutions, where one, two or three simultaneously active dipoles were randomly chosen regarding their positions and polarity.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

BEM-based SMS-LORETA - an advanced method to localize multiple simultaneously active sources in the cerebral cortex does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with BEM-based SMS-LORETA - an advanced method to localize multiple simultaneously active sources in the cerebral cortex, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and BEM-based SMS-LORETA - an advanced method to localize multiple simultaneously active sources in the cerebral cortex will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-113598

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.