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[[TableOfContents]] <<TableOfContents>>
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sphsmooth-sess - Smoothes hemodynamic averages on the surface a specified number of steps. sphsmooth-sess - smoothes hemodynamic averages on the surface
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command argA argB -flag1 arg1 -flag2 arg2 [-flag3 arg3] [-flag4 arg4] sphsmooth-sess ??
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|| argA || brief description || detailed description (eg, help file information) ||
|| argB || brief description || detailed description (eg, help file information) ||
none
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|| -flag1 arg1 || brief description || detailed description (eg, help file information) ||
|| -flag2 arg2 || brief description || detailed description (eg, help file information) ||
??
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|| -flag3 arg3 || brief description ||detailed description (eg, help file information) ||
|| -flag4 arg4 || brief description ||detailed description (eg, help file information) ||
||-smoothsteps <n>|| number of smoothing steps||
||-analysis <analysisname>|| session-level functional analysis name||
||-insphdir <dirname>|| input spherical space directory name <sph>||
||-outsphdir <dirname> || output spherical space directory name||
||-hemi <hemisphere> || <hemisphere> = lh or rh||
||-sf <sessidfile> || ...||
||-df <srchdirfile>|| ...||
||-s <sessid> ||...||
||-d <srchdir> ||...||
||-umask <umask> || set unix file permission mask||
||-scriptonly || don't run, just generate a script||
||-version || print version and exit||
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|| volume1 || description ||
|| volume2 || description ||
|| <??> || ?? ||
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description [[sphsmooth-sess]] will smooth an analysis on the surface. The results of the analysis must have been resampled onto the sphere using [[func2sph-sess]]. By default, the input directory will be sph (as created by [[func2sph-sess]]). The user must supply the output directory. To access the smoothed data in subsequent calls (eg, [[isxavg-re-sess]] or [[isxavg-fe-sess]]), add -spacedir followed by the name given to the output directory.

The amount of smoothing is approximately given by the formula
 {{{fwhm = (2.3*sqrt(smoothsteps*2/pi))/1.24}}}
where fwhm is in mm on the surface and smoothsteps is the number of smoothing steps supplied by the -smoothsteps flag.

A single smoothing step is when each vertex is averaged with its neighbors. This will be performed iteratively as many times as specified.

How much smoothing you should apply depends on your data. Ideally, it should be the same as your activation size.
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command foo -i f -o out

description
??
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command foo -i f -o out -f fvalue

description
??
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None ??
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["othercommand1"], ["othercommand2"] [[func2sph-sess]]
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FreeSurfer, FsFast FsFast
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description
description
??
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["References/Lastname###"] [[References/Lastname###]]
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JaneSmith DougGreve

Index

Name

sphsmooth-sess - smoothes hemodynamic averages on the surface

Synopsis

sphsmooth-sess ??

Arguments

Positional Arguments

none

Required Flagged Arguments

??

Optional Flagged Arguments

-smoothsteps <n>

number of smoothing steps

-analysis <analysisname>

session-level functional analysis name

-insphdir <dirname>

input spherical space directory name <sph>

-outsphdir <dirname>

output spherical space directory name

-hemi <hemisphere>

<hemisphere> = lh or rh

-sf <sessidfile>

...

-df <srchdirfile>

...

-s <sessid>

...

-d <srchdir>

...

-umask <umask>

set unix file permission mask

-scriptonly

don't run, just generate a script

-version

print version and exit

Outputs

<??>

??

Description

sphsmooth-sess will smooth an analysis on the surface. The results of the analysis must have been resampled onto the sphere using func2sph-sess. By default, the input directory will be sph (as created by func2sph-sess). The user must supply the output directory. To access the smoothed data in subsequent calls (eg, isxavg-re-sess or isxavg-fe-sess), add -spacedir followed by the name given to the output directory.

The amount of smoothing is approximately given by the formula

  • fwhm = (2.3*sqrt(smoothsteps*2/pi))/1.24

where fwhm is in mm on the surface and smoothsteps is the number of smoothing steps supplied by the -smoothsteps flag.

A single smoothing step is when each vertex is averaged with its neighbors. This will be performed iteratively as many times as specified.

How much smoothing you should apply depends on your data. Ideally, it should be the same as your activation size.

Examples

Example 1

??

Example 2

??

Bugs

??

See Also

func2sph-sess

Links

FsFast

Methods Description

??

References

References/Lastname###

Reporting Bugs

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

Author/s

DougGreve

sphsmooth-sess (last edited 2008-04-29 11:46:04 by localhost)