Hi all!
I ran a seed PLS to idenitfy structural covariance within the DMN. Following Spreng and Turner (2013), I created my datamat, ran Mean-Centered PLS, extracted my seed voxels using the MVE feature, then used the output for that to run Regular Behav PLS. Upon examning my results, first I looked at the Brain LV and Bootstrap Ratio plots, then I opened the Brain Scores vs Behavior Data Plot, which showed (LV #1) my gray matter condition on the y and my behavior (seed) on the x, with a data point for all of my subjects. When I went to extract my brainscores in the MATLAB command window, I loaded my *results.mat, then typed "whos" to view my variables. brainscore wasn't listed as a variable, along with some others I would expect. I can't figure out why the information listed below would seem so empty... I have 87 subjs, the seed txt file has all 87 lines (1 column), and I can see the figures when I load the plot.
whos
Name Size Bytes Class Attributes
ans 1x26 52 char
behavdata_lst 1x1 808 cell
behavname 1x1 124 cell
cond_selection 1x1 8 double
create_ver 1x9 18 char
datamat_files 1x1 210 cell
datamat_files_timestamp 1x1 152 cell
dims 1x4 32 double
method 1x1 8 double
newcoords 1x310209 2481672 double
num_cond_lst 1x1 8 double
num_subj_lst 1x1 8 double
origin 1x3 24 double
result 1x1 6384654 struct
singleprecision 1x1 8 double
subj_name_lst 1x1 12036 cell
voxel_size 1x3 24 double
Couple more details: I'm using the PCC as my seed (neighborhood of 3 voxels) and did not delineate by group (meaning I just put all subjects in the same group/condition and ran Mean-Centered PLS option 1, then was going to separate out their brain scores for my higher level analyses).
This is my first time using this software so I really appreciate any and all help! Thanks so much!!
Aggie
hi Aggie - the scores will be in the result structure array
hope the results are looking good!
cheers
Randy
Hi Randy!
Well that makes perfect sense, thank you! Once I clicked through the workspace in MATLAB I was able to access my result incredibly easily.
Thanks for your speedly response.
Aggie
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