Mag and gra sensor record different types of data : magnetic field magnitude and magnetic field gradient, so normally they are plot in 2 topography map for visualization (as in mne tutorial). However, if i do decoding on each sensor, then the gra and mag sensor has new and the same feature (like accuracy), and i want to visualize them on a single topography map. is it possible ?
what’s more , how can i achieve the corresponding brain areas of meg sensors , like the below picture?(for example:meg **** left frontal)
1 Like
With topography map, I’m assuming you mean a plot like you obtain with plot_evoked_topomap, please correct me if I’m wrong.
The problem is that sensors are in clusters of 3: two grads and one mag per cluster. On a topomap they all have the same position by default. What exactly would you like to happen in the topomap with the 3 difference accuracy scores that all share the same position?
Regarding obtaining things like “all the left frontal sensors”, check out this function: mne.read_vectorview_selection — MNE 1.6.0 documentation
Do two grads and one mag in a cluster has exactly the same location? I originally thought they were just very close together in a cluster, so my original expectation was to do spatial interpolation for visualization.
This is how they are arranged in the helmet:
The gradiometers are intertwined and the magnetometer is placed on top.
1 Like
Get! Thanks a lot !