\ ^__^
\ (oo)\_______
(__)\ )\/\
||----w |
|| ||
This set of scripts is intended to be fed with: a) a region from the Human Brainnetome Atlas (specifically, a region probability map), b) cortical thickness files (outputted from CIVET) of a subjects group, c) a cortical 3-D mesh representing the group average, and: d) a .csv file with the variables associated with the subjects.
What this set of scripts does is: --> convert BNA NIFTI probability map to MINC format --> convert it to a binary mask according to the desired treshold --> use that mask to threshold individual CT measures --> apply a linear model (and FDR correction) over the dataset according to the specified\ dependent and independent variables.
It takes the following arguments:
[1]: BNA probability map (e.g. 025.nii) [2]: Directory where cortical thickness files (.txt, outputted from CIVET) are located [3]: average cortical 3-D mesh (single hemisphere, e.g. lh_average.obj) [4]: dataframe (.csv file; important: IDs' column must be named: id [5]: Derired threshold for delimiting the probability map [6]: Predictor variable(s) (which can take the form accepted by R formulae; e.g. group+age) [7]: If comparing two groups, here you must input the code of the experimental group [8]: And control group's code
Note: You should execute these scripts from the same directory where the required files are located.
marcoseliseo.da at gmail dot com