You could do it in matlab, something like
waveforms = fast_vol2mat(MRIread('waveform.nii.gz'));
% this will be a matrix ntimepoints by nvertices
You can then load the label with read_label.m and then pull out the
columns from waveforms that you want. Make sure to account for the fact
that the
Though one workaround might be to subdivide a label many, many times using
mris_divide_parcellation, I was wondering if it is possible to obtain a
per-vertex (or even per-face) fMRI waveform for a label. In other words, rather
than compute the average waveform across all vertices, as with
