[FieldTrip] beamforming pipeline & comparing sources between groups of participants?
Ioanna Zioga
i.zioga at qmul.ac.uk
Wed May 1 16:48:19 CEST 2019
Dear Vladimir,
For anyone interested, I used SPM to make a template head model which I'm going to use to do beamforming in FT.
I have queries with regards to the source analysis pipeline I'm using in FT, as the results I get don't seem right.
Vladimir, following our previous email exchange (and thanks to your suggestions), I have now managed to compute the lead field matrix in FT (by removing eeglab and fieldtrip directories from the path, and adding spm's).
I want to contrast the sources of two groups of participants (high- vs. low-learners) in two frequency bands (low: 2.5-4.5 Hz; high: 12-32 Hz), from 0.20-1 sec post stimulus onset.
Here is my pipeline:
% Calculate the cross spectral density matrix (e.g., for the 12-32 Hz frequency band)
cfg = [];
cfg.method = 'mtmfft';
cfg.output = 'powandcsd';
cfg.foilim = [22 22];
cfg.taper = 'dpss';
cfg.tapsmofrq = 10;
cfg.keeptrials = 'yes';
cfg.keeptapers = 'no';
cfg.toi = 0.6;
cfg.t_ftimwin = 0.4;
freq = ft_freqanalysis(cfg, EEGft);
% Source analysis using DICS beamformer
cfg = [];
cfg.headmodel = vol1;
cfg.grad = sens1;
cfg.senstype = 'eeg';
cfg.grid = grid;
cfg.method = 'dics';
cfg.frequency = [12 32];
cfg.latency = [0.2 1];
cfg.dics.projectnoise = 'yes';
cfg.dics.lambda = 0;
cfg.dics.keepfilter = 'yes';
cfg.dics.realfilter = 'yes';
sourceA = ft_sourceanalysis(cfg, freq);
% Plot sources
cfg = [];
cfg.method = 'slice';
cfg.funparameter = 'pow';
ft_sourceplot(cfg, sourceA);
=> The source plots look weird though - they scale from 0 to x10^45, and are totally black.
1) Am I doing something wrong in the freqanalysis or the sourceanalysis?
2) Do I need to do the ft_sourceanalysis separately for each participant?
3) Is there a way to average the results of the source analysis over groups of participants?
4) Could you give any direction/resource on how to statistically compare the sources of different groups?
As you all know this is a very exciting but also not trivial analysis.. so I'd be extremely grateful for any help at this point, it'd be very much appreciated! Thanks so much in advance!
Best,
Ioanna
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