Source analysis of single trial MEG data under various noise conditions
Eight data sets were constructed out of the two measurements by either applying the Signal Space Separation noise reduction method (SSS) [5] or not and either adding or leaving the simulated spontaneous activity. Conclusions Our studies showed that source reconstruction results of single trials for...
Saved in:
Published in: | NeuroImage (Orlando, Fla.) Vol. 47; p. S58 |
---|---|
Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
Amsterdam
Elsevier Inc
01-07-2009
Elsevier Limited |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Eight data sets were constructed out of the two measurements by either applying the Signal Space Separation noise reduction method (SSS) [5] or not and either adding or leaving the simulated spontaneous activity. Conclusions Our studies showed that source reconstruction results of single trials for a point-like source can yield localization errors in the range of a few mm. Among the tested methods eLORETA appeared to perform best. |
---|---|
ISSN: | 1053-8119 1095-9572 |
DOI: | 10.1016/S1053-8119(09)70246-0 |