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<p>Dear Fieldtrip Users, </p>
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<p>I am trying to compute non-parametric granger causality between several ROIs in source-space. I am using the following code to obtain the fourier-spectra of my sensor-level data.</p>
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<div>cfg = [];</div>
<div>cfg.output = 'fourier';</div>
<div>cfg.method = 'mtmfft';</div>
<div>cfg.taper = 'dpss';</div>
<div>cfg.tapsmofrq = 4;</div>
<div>cfg.keeptrials = 'yes';</div>
<div>cfg.pad = 1;</div>
<div>cfg.padtype = 'zero';</div>
<div>freq = ft_freqanalysis(cfg, data_fix);</div>
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<p>I was wondering how to<span style="white-space: pre-wrap; font-size: 10pt;"> project the sensor level fourier-data into source space using the spatial filters computed when calling ft_sourceanalysis? I.e. how to multiply the freq*filter? I am little unsure
how the <span>fourierspctrm is represented and how this will feed into ft_connectivity analysis?</span></span></p>
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<p><span style="white-space: pre-wrap; font-size: 10pt;"><span>Many thanks, </span>
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<p><span style="white-space: pre-wrap; font-size: 10pt;"><span>Robert Seymour (PhD Student, Aston Brain Centre)</span></span></p>
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