Difference between revisions of "Seed dipole solutions from cortical images"
(Created page with "{{BESAInfobox |title = Module information |module = BESA Research Basic or higher |version = 5.2 or higher }} BESA initially was designed to give comprehensive dipole solutio...") |
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Therefore there is possibility to seed dipole solutions from 3D and cortical images. | Therefore there is possibility to seed dipole solutions from 3D and cortical images. | ||
| − | When you have a source analysis window open and you did desired 3D Imaging source analysis you might end with something similar to this | + | When you have a source analysis window open and you did desired 3D Imaging source analysis you might end with something similar to this: |
| + | [[File:DipoleFromSeedArrows.jpg]] | ||
Revision as of 16:36, 15 February 2017
| Module information | |
| Modules | BESA Research Basic or higher |
| Version | 5.2 or higher |
BESA initially was designed to give comprehensive dipole solution to resolve so called inverse solution. With the advance of neruoinformatics we also incorporated many popular volumetric solutions (i.e. LORETA) and our own invesions (like CLARA). Since BESA Research release 6.1 we also introduced cortical solutions (i.e. Cortical LORETA). As always both solutions (dipole and 3D Imaging methods) has some pros and cons. For example during dipole analysis, number of dipoles has to be assumed by the user. 3D Imaging methods does not need this, but not provide orientation and waveform of the designated source.
Therefore there is possibility to seed dipole solutions from 3D and cortical images.
When you have a source analysis window open and you did desired 3D Imaging source analysis you might end with something similar to this: File:DipoleFromSeedArrows.jpg
