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["selxavg-sess"] - computes the average signal intensity maps for each condition for each individual subject.


["selxavg-sess"] –sf <subjectfilename> –df <srchdirfile> –analysis <sem_assoc>


mkanalysis must me run

Paradigm files placed in each bold directory

Required Arguments:

-analysis analysisname : [name of functional analysis that you created under the analysis flag in]

- sf sessidfile : an emacs list of subjects

-df srchdirfile : an emacs list of directories where subjects can be found

-d srchdir : use instead of –df if specifying only one dir

Optional Arguments:

-sveres : save residual error to analysis/eres/eRRR

-svsignal : save signal estimate to analysis/signal/sRRR

-svsnr : save estimate of SNRR to analysis/estsnr

-umask umask : set unix file permission mask [not necessary, but can use 002]

-version : print version and exit


This will create a subdirectory with the same name as your “analysisname” under the bold directory in subjects directory. There will be two volumes in this directory, one with stem “h” and one with stem “h-offset”. These are where the hemodynamic averages are stored, i.e.:

h: contains the estimated hemodynamic response at each voxel, along with the standard deviation of the residual error.

h-offset: contains a map of the mean value at each voxel.

There is also a text file called h.dat with information about the parameters used during the analysis. Future processing of this analysis will create other subdirectories under “analysisname”.


This program computes the average signal intensity maps for each condition for each individual subject.This program separately analyzes the data in each session indicated in the sessid file, then computes the average signal intensity maps for each condition. This average data can be further processed on an individual basis and/or can be used for group analyses.


For spherical

selxavg-sess -analysis tau_sm6 -sf subjects-id -df dir

For talairach

selxavg-sess -analysis tau_sm8 -sf subjects-id -df dir