Simulate MEG signals directly from scout

Hi,

I have simulated some source data consistent with the Desikan-Killainy parcellation scheme(68 scouts). I want to use this data to obtain the corresponding MEG signal consistent with a pre-estimated head model. While I understand that this entails a simple matrix multiplication(Forward model * source matrix), the actual forward model has 15002 vertices whereas I have 68 scouts. Is there some way to obtain a forward model that lets me compute MEG simulations directly from the 68 scouts ? The shape of such a forward model would have to be 68(scouts)*339(MEG sensors).

Thank you !

There is a process just for that:
"Simulate > Simulate recordings from scout"

https://neuroimage.usc.edu/brainstorm/Tutorials/Statistics#Simulate_recordings_from_these_scouts

FYI: To address all the recent questions we had related with simulations, I added some code in Brainstorm and wrote a new tutorial:
https://neuroimage.usc.edu/brainstorm/Tutorials/Simulations