In [1]:
%matplotlib widget


# Display ROIs & M/EEG sensor positions¶

Candidate for new tutorial on visualizing all elements of the data set

To be sure of the accuracy of forward solution for M/EEG, it is important to verify the geometry of the sources and sensors, as well as the boundaries. Here, we plot these elements of the forward solution for TVB's default dataset.

In [2]:
hp = HeadPlotter3D()


then, plot the different elements

In [3]:
hp.display_source_sensor_geometry()

WARNING  File 'hemispheres' not found in ZIP.


More visualizations to come:

• volume data -> MRI acquisition -> Registration -> Coordinates transform to MNI space | -- voxel-based gray matter parcellation (obtain parcellation mask) -> AAL/anatomical template

• surfaces data (cortical, skull, skin surfaces extraction) -> FSL/BET

• connectivity data (white matter weights, tract-lengths) -> Diffusion Toolkit + TrackVis

• region mapping between parcellation and number of vertices in the cortical surface.

• lead-field matrices (ie, projection matrices) mapping nodes onto EEG/MEG space