Simulate Your Own Data in MNE
You can use the MNE function mne_simu to produce your own EEG or MEG data, for different ROIs (Labels). You can then apply your Inverse Operator to these data, and check how well activation from these areas are localised. In order to use mne_simu, you need a forward solution created in MNE (e.g. from a real measurement). For more details, please refer to the MNE manual (V2.6, V 2.7).
Example:
mne_simu --meg \
--fwd ${path}/${subjects[m]}_5-1L-MEG-fwd.fif \
--label ${STCpath}/Label_Occ-lh.label \
--label ${STCpath}/Label_Cent-lh.label \
--label ${STCpath}/Label_Ins-lh.label \
--out ${STCpath}/PubLabel-lh.fif---
The following publications provide more information on the spatial resolution of MNE:
Molins, A., Stufflebeam, S. M., Brown, E. N., Hamalainen, M. S. (2008). Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation. Neuroimage, 42(3), 1069-1077.
Hauk, O., Wakeman, D.G., Henson, R.N. (2011) Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. Neuroimage 54:3, 1966-74.