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Hi Stephen,
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<div class="">source2full and source2sparse are probably quite outdated, and do not seem to work well anymore with the latest type of source-level data structures. Most relevantly, the inside field these days is by default a boolean vector of size nposx1, whereas
once upon a time the inside and outside fields together contained the indices of the dipole positions, indicating which positions are on the in-/outside.</div>
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<div class="">Do you need the source2sparse step to begin with?</div>
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<div class="">Best,</div>
<div class="">JM</div>
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<div class="">On 17 May 2017, at 16:46, Stephen Whitmarsh <<a href="mailto:stephen.whitmarsh@gmail.com" class="">stephen.whitmarsh@gmail.com</a>> wrote:</div>
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<div class="">Hi there,<br class="">
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After beamformer sourceanalysis I end up with datastructures looking like:<br class="">
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<div class=""><span style="font-family:monospace,monospace" class=""> struct with fields:<br class="">
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freq: 10.5000<br class="">
cfg: [1×1 struct]<br class="">
pos: [2982×3 double]<br class="">
pow: [2982×1 double]<br class="">
inside: [2982×1 logical]<br class="">
powdimord: 'pos'<br class="">
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<div class="">The .inside field is created by ft_selectdata used to average across frequencies, and contains all 1s. Running sourceanalysis with this data trows the following error:<br class="">
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</span><span style="font-family:monospace,monospace" class=""><span style="color:rgb(255,0,0)" class="">Error using spm_bwlabel<br class="">
spm_bwlabel: CONN must be 6, 18 or 26</span><br class="">
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<span style="color:rgb(255,0,0)" class="">Error in clusterstat (line 222)<br class="">
[negclusobs, negnum] = spm_bwlabel(tmp, 2*numdims);<br class="">
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Error in ft_statistics_montecarlo (line 347)<br class="">
[stat, cfg] = clusterstat(cfg, statrand, statobs);<br class="">
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Error in ft_sourcestatistics (line 205)<br class="">
[stat, cfg] = statmethod(cfg, dat, design);</span><br class="">
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<span style="color:rgb(0,0,255)" class=""><u class="">222 </u></span> [negclusobs, negnum] = spm_bwlabel(tmp, 2*numdims);</span><br class="">
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<div class="">I think this results because of a wrong estimate of the dimensionality, resulting from the fact that the data is represented in an array rather than a 3-dimensional matrix, which it seems to expect.
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I think therefor that I might need to convert my data back into a 3-d representation, i..e not a sparse but full representation. I have tried using ft_source2full, but that is not straightforward as I only have inside voxels/positions. In other words, I would
need to do exactly the same as ft_source_statistics seems to want to do with spm_bwlabel.<br class="">
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<div class="">So I guess I might just have put FieldTrip on the wrong leg, to use a Dutch expression.<br class="">
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<div class="">Any suggestions?<br class="">
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<div class="">Best,<br class="">
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<div class="">Stephen<br class="">
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