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Tensor Based Morphometry (TBM) Volume Regression Analysis

Written by Owen Phillips . Email if you have any questions.

Tensor based morphometry Voume Regression Analysis requires jacobians for all the subjects you want to include. You can download the pipeline by right clicking: TBM_VRA

Inputs:

1. Input Design Matrix: Check http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLineVolumeMultipleRegression for instructions on how to make this.
2. Mask: This needs to be an 8 bit binary mask file.
3. Regressors: These are your covariates listed in the design matrix.
4. X, Y, Z, dimensions. Check your data for this. Freesurfer outputs all data at 256, 256, 256 if you are using an output from FS.
   

Outputs: This pipeline outputs one of these images for each of your covariates.

1. P_value image
2. Beta image
3. R image
4. T Statistic image

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