read_annot()
in io.pyIf you are using the same function, please note that, by default (
orig_ids=False
), labels
returned by this function range from 0 to 35, instead of 1 to 36. It does NOT really return labels, which are big numbers in the central column below, but their indexes in C or Python way (not MATLAB way!). read_annot returns | Labels in a .annot file | meaning |
---|---|---|
0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | 0 1639705 2647065 10511485 6500 3294840 6558940 660700 9231540 14433500 7874740 9180300 9182740 3296035 9211105 4924360 3302560 3988500 3988540 9221340 3302420 1326300 3957880 1316060 14464220 14423100 11832480 9180240 8204875 10542100 9221140 14474380 1351760 6553700 11146310 13145750 2146559 | 'unknown' 'unknown' 'bankssts' 'caudalanteriorcingulate' 'caudalmiddlefrontal' 'corpuscallosum' 'cuneus' 'entorhinal' 'fusiform' 'inferiorparietal' 'inferiortemporal' 'isthmuscingulate' 'lateraloccipital' 'lateralorbitofrontal' 'lingual' 'medialorbitofrontal' 'middletemporal' 'parahippocampal' 'paracentral' 'parsopercularis' 'parsorbitalis' 'parstriangularis' 'pericalcarine' 'postcentral' 'posteriorcingulate' 'precentral' 'precuneus' 'rostralanteriorcingulate' 'rostralmiddlefrontal' 'superiorfrontal' 'superiorparietal' 'superiortemporal' 'supramarginal' 'frontalpole' 'temporalpole' 'transversetemporal' 'insula' |
I looked at the source code of the function
read_annot
. There may be a potential problem. Sometimes, people use 0 instead of 1639705 to mark unknown vertexes in .annot files. But read_annot
won't distinguish the two as it will return the same value 0.
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