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Revision 17 as of 2020-04-08 20:08:15
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Introduction

In this tutorial, we compare the head models computation using the methods available in brainstorm.

At this time, the FEM implementation is available for the EEG and the MEG computation. We will integrate and test soon the FEM for sEEG and ECOG.

EEG within a spherical model

The volume conductor or the head model:

In this part we used the spherical head model distributed by the duneuro team (sphere). The following figure shows on the left the surface model and on right the tetrahedral mesh. DuneuroModelMesh.JPG

The model has three layers, the brain (inner skull), the outer skull and the scalp.

The source space :

For the source space or dipole position, we will use a realistic cortex distributed with the ICBM default subject of brainstorm.

DuneuroModelMeshAnCortex.JPG

The sensor model

Regarding the electrode's positions, we use the same position defined in this file. The total number of electrodes is 200 regularly distributed on the outer layer.

DuneuroModelElectrode.JPG

The forward model

Now, we have all the componenet of the model, we can start the process to compute the head model. For the EEG, brainstorm offers three methods. We perform these three computations on this model.

Cond: 0.330 0.004 0.330

  1. 3-shell sphere : best fitting sphere based pn scalp, then OK, less
  2. OpenMeeg BEM : use the conductivity 0.33, 0.004 and 0.33, and keep the default options.

  3. DUNEuro FEM : use the default option with the same conductivity value as the previous method.

Quantitave comparaison of the methods

In this tutorial we use the display of the leadfield vector to compare visually the performances of the the three methods.

Right click on the headmodel, and then select 'View leadfield vector'. You can select more than headmodel in order to overlay the vectors.

In this figure we show the 3-Shell vs OpenMeeg and 3-Shell vs Duneuro and all of these method.

the BEM, FEM forward computation in basic model (realistic head model 3 layer) and also within in a spherical head model with an analytical solution.

Describe femVSbem here.

Compare the performance of the mesh resolution vs the lead field approximation

v10, v1, v0.1 and v0.01 femMeshModels.JPG

v0.1 and V0.01 are almost the same ....

difference appears on v10

sourceVsMeshResolution.JPG

in spherical head model

same observation on the lf view lfview_v01andv001.JPG

difference appears on the v1 and worse for v10

EEG forward within 3 layers head model :

In this example we compute the head model for the ICBM head model using the openmeeg method and then we generate the fem mesh for the same subject, then we compute the the leadfield using the Duneuro method v = 0.1 default value. MNorm sourcelocalisation.JPG

sloreta sourcelocalisationloreta.JPG sourcelocalisationloreta2.JPG

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