[TUTORIAL UNDER CONSTRUCTION]

Will be completed soon

In this tutorial we describe the full FEM process as described in the SPIE paper

We may keep the previous tutorial as a basic and this tutorial is an advanced and complete version.

FEM tutorial: MEG/EEG Median nerve stimulation

Authors: Takfarinas Medani, Juan Garcia-Prieto, Wayne Mead.

This tutorial introduces the FEM modeling in the Brainstorm environment.

Note that the operations used here are not detailed, the goal of this tutorial is not to introduce Brainstorm to new users. For in-depth explanations of the interface and theoretical foundations, please refer to the introduction tutorials.

License

This tutorial dataset (MEG/EEG and MRI data) remains proprietary of xxxxyyyy. Its use and transfer outside the Brainstorm tutorial, e.g. for research purposes, is xxxx yyy.

Download the dataset

Requirement

Brainstom

SimNibs

BrainSuite

Iso2mesh

Description of the experiment (todo) : only one file

The experiment consists of two stimulation protocols being conducted during a single scanning session in a MEG laboratory with an Elekta Triux (Megin, Finland) scanner. The subject is a a right-handed 46 years old male. The two stimulation protocols consist of a unilateral median nerve stimulation and an eyes-close resting-state recording.

Median nerve stimulation:

Resting-State protocol:

Download and installation

Import the MRIs

Head model construction

FEM head model

The first step require the generattin of the FEM head model, where the MRIs are segmented into the main tissues and then tesselated into hexahedral or tetraheral elements. The available methods within Brainstorm are listed in this page.

In the following tutorial, the SimNibs method is used

In order to use the call SimNibs you need to have it installed in your computer, please follow the instruction as explained in here.

Keep all the options to their default values.

Depending on your computer performance, this process can take 2 to 4 hours, so be patient.

[ATTACH]

At the end of this computation, Brainstorm will populate the windows wit the following nodes

At the end of the process, make sure that the file "cortex_15002V" is selected (downsampled pial surface, which will be used for the source estimation). If it is not, double-click on it to select it as the default cortex surface.

FEM tensors

The FEM has the ability to incorportae the anosotropic conductivity. Brainstom offers the known methods to estimae the tensors from the DWI data. For more detailled example please refere to this page.

There is two main phasesto compute the tensors, the first is the computation of the DTI from the DWI. The second is the estimation of the conductivity tensors from the DTI on each of the FEM mesh elements.

Phase one:

BrainStorm will call internally the Brainsuite Software to compute the the DTI. This process can take up to 20 minutes.

At the end of this process a node will apear in the Brainstorm database explorer under the name "DTI-EIG", this is a volume data that contains the 12 values of the eigen values and eigen vectors at each voxel.

Phase two:

Once the DTI are computed,

This process can take up to 5min, depending on the resolution of the FEM mesh.

Explanation of the options:

Brainstorm recognise the tissue listed on the FEM had and asssign the default isotropic conductivies, as shown on the panel, users can change and use their own values.

When the DWI data are computed, the conductivity tensors can be estimated on the white matter tissues using the Effective Medium Approach (EMA), Brinstorm offers two option, the EMA with a fixed factor k=0.736, or the EMA with the volume constraint (EMA+VC), please refer to this tutorial and the cited publication for further information.

Visualisation of the FEM mesh and tensors

Brainstorm include the possibilities to display the FEM head models and the tensors, users can also overlay the display with the MRI as well as with the differents surfaces.

BEM head model

We will generate also the BEM surfaces for this subject and we will follow the same step as expect in this page. The obtained surfaces will be used later for the BEM computation.

Access the recordings

Prepare the channel file

Refine the MRI registration

Read the stimulation information

Pre-processing

Evaluate the recordings

Frequency filters

Review the recordings

MEG: Default montages

MEG: Bad channels

EEG: Average reference

Artifacts cleaning with ICA

EEG: Heartbeats and eye movements

MEG: Heartbeats and eye movements

Epoching and averaging

Import the recordings

Averaging

Source estimation

Head model

Noise covariance matrix

Inverse model

Regions of interest

Scripting

Tutorials/FemMedianNerve (last edited 2021-04-01 03:53:30 by TakfarinasMedani)