MEG

Analysis with MNE

MNE site

relevant publications

MNE 2.6 slides by Matti Hämäläinen

MNE python MNE python scripts

bridging with SPM

Some quick tips if you want to browse through your data

Type mne in a terminal window:

By default, MNE is set to /neurospin/local/mne

Matlab location is set to /neurospin/local/matlab/neurospin/local/mne/bin/mne added to PATH

Set your SUBJECTS_DIR and SUBJECT environment variables. For instance: export SUBJECTS_DIR=/neurospin/meg/meg_tmp/mystudy/sss/ export SUBJECT=NIPofmysubject

Now type:

mne_browse_raw --digtrig STI101

A gui interface will show up and you can from there load raw fif data files or average fif data files. At the bottom right corner, you can type in a trigger number for a quick and dirty averaging.

mne_process_raw --raw <myrwawdata> --digtrig 'STI101'

For each command you send to MNE specify in your line --digtrig 'STI101' to recognize your trigger line.

Typing mne_browse_raw --digtrig 'STI101' pops up the User Interface and should recognize your triggers

Typing mne_process_raw [options] can be used for script/batch analysis

e.g.to grand average data across multiple runs: mne_process_raw --raw myrun1_sss.fif --raw myrun2_sss.fif --filteroff --projoff --digtrig STI101 --ave myaverage_definition --gave gdav.fif

This command will grand average the conditions specified in your myaverage_definition across myrun1 and myrun2. The filter setting is off, no projections (e.g. from SSP) will be applied. The resulting fif file is gdav which contains all grand average conditions.