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["selxavg-sess"] –sf <subjectfilename> –df <srchdirfile> –analysis <sem_assoc> ["selxavg-sess"] –sf <subjectfilename> –df <srchdirfile> –analysis <sem_assoc> [options]
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= Preprocessing =
mkanalysis must me run
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Paradigm files placed in each bold directory = Arguments =
== Required Arguments: ==
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= Required Arguments: = ||-analysis <analysisname> || name of functional analysis that you created under the analysis flag in ["mkanalysis-sess.new"]||
|| -sf <sessidfile> || text file list of subjects||
|| -df <srchdirfile> || text file list of directories where subjects can be found||
|| -d <srchdir> || use instead of –df if specifying only one dir||
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||-analysis analysisname : [name of functional analysis that you created under the analysis flag in mkanalysis-sess.new]||
||- 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 SNR to analysis/estsnr||
||-umask umask || set unix file permission mask [not necessary, but can use 002] ||
||-version || print version and exit ||
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= 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 ||
= Outputs =
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= Output = ||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||
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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.
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== For spherical == == Example 1: For spherical analysis ==
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== For talairach == == Example 2: For talairach analysis ==
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["mkanalysis"] must me run
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Paradigm files placed in each bold directory

= Bugs =
??

= See Also =
["mkanalysis-sess.new"]

= Links =
FsFast

= Methods Description =
{{{
description
description
}}}

= References =
["References/Lastname###"]

= Reporting Bugs =
Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>

= Author/s =
DougGreve

Index TableOfContents

Name

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

Synopsis

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

Arguments

Required Arguments:

-analysis <analysisname>

name of functional analysis that you created under the analysis flag in ["mkanalysis-sess.new"]

-sf <sessidfile>

text file list of subjects

-df <srchdirfile>

text file 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 SNR to analysis/estsnr

-umask umask

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

-version

print version and exit

Outputs

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

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.:

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”.

Description

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.

Examples

Example 1: For spherical analysis

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

Example 2: For talairach analysis

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

["mkanalysis"] must me run

Paradigm files placed in each bold directory

Bugs

??

See Also

["mkanalysis-sess.new"]

Links

FsFast

Methods Description

description
description

References

["References/Lastname###"]

Reporting Bugs

Report bugs to <analysis-bugs@nmr.mgh.harvard.edu>

Author/s

DougGreve

selxavg-sess (last edited 2008-04-29 11:45:33 by localhost)