Creation of SPM.mat file:
1) Create Notepad file containing the scores of each subject from one behavioral test. If you are using multiple behavioral tests make separate notepad files for each test.
2) Open SPM using PET and SPECT option
3) Go to Matlab terminal and type x=load('path to directory with Notepad file with group assignments')
4) Enter
5) Back in SPM click Basic Models
6) Select Simple Regression (Correlation)
7) Select all subject images
8) When prompted type x
9) Select no grand mean scaling
10) Threshold masking: None
Choices: None, absolute, relative
11) "Implicit Mask (ignore 0's)?" Choose YES
12) "Explicitly Mask Images?" Choose yes or no depending on use of mask
13) Global Calculation None or omit
14) Save resulting image as .jpg or .pdf
Analysis:
1) In SPM press Estimate
2) Locate and select SPM.mat (this file was created in the process above - if this file was not saved in the directory you originally wanted this can be changed in SPM by clicking Utils and selecting cd and choosing your new directory)
3) Press Results
4) Select SPM.mat
5) Click t-contrasts
6) Define new contrasts at bottom of window
7) Title your analysis
8) Select t-contrast
9) In box type either 1 0 for positive correlations or -1 0 for negative correlations.
10) Mask with other contrasts: No
11) Type in title
12) Enter
13) P-value adjustment select default
* Default = NONE; Choices: None, FWE, FDR
14) You can select the default choice for the rest of the options as listed below or you can enter in different numerical values by clicking in the box and typing
* Threshold (T or P Value) = 0.001
* Extent Threshold (voxels) = 0
15) Once page shows up in bottom left hand window click volume under p-values - this should provide you with a table of all clusters and their p-values
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