table of contents
LIPSIA     General linear regression for 2nd and higher level inference
v2ndlevel
The program 'v2ndlevel' performs a general linear regression for second and higher level inference. As input, it requires contrast images resulting from a first level regression. In addition, it requires a design matrix as a text file as described in 'designformat'.

The program yields a beta-file as output. To obtain a statistical parametric map, the program 'vgetcontrast' must be applied to this beta-file.

Example:

Let the text file 'design.txt' describe a 2-sample t-test:

%
% design file 'design.txt', two-sample t-test
%
1 0 1
1 0 1
1 0 1
1 0 1
. . .
0 1 1
0 1 1
0 1 1
0 1 1
. . .
The following sequence of program calls first computes a beta-map, and then it computes a zmap that contrasts the two groups contained in the files conimage1_*.v and conimage2_*.v.

v2ndlevel -in conimage1_*.v conimage2_*.v -out beta.v -design design.txt

vgetcontrast -in beta.v -out zmap.v -con '1 -1' -type zmap


Parameters of 'v2ndlevel ':
-help
Prints usage information.
-in
One or more fMRT data file(s). Default: (none)
-out
Output beta file. Default: (none)
-design
File containing design matrix. Required.


Max Planck Institute for Human Cognitive and Brain Sciences. Further Information: lipsia@cbs.mpg.de
Copyright © 2007 Max Planck Institute for Human Cognitive and Brain Sciences. All rights reserved.