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MM.cfg
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<Analcfg deftype="typ.xml">
<variable>
<start>
<ProgType>choice</ProgType>
<prompt>startup ...</prompt>
<description>
MULTIVARIATE METHODS is a package for fMRI/PET data analysis|
developed by the Models and Data Analysis group at SHFJ/CEA|
Main Author : Ferath Kherif. Other : JB Poline|
This is a ALPHA VERSION |
Please do not distribute and redirect requests for the toolbox to|
us. For bugs, remarks, additions, etc, please contact jb at|
[email protected]. Some of the ideas implemented in the MM toolbox|
have not yet been published. Please refrain from publishing the|
original ideas that can be found here ... If you are using this|
material for publication, please see with us how you can|
acknowledge our work.
</description>
<input>
<label>Results|{Compute}</label>
<prompt>Show previous results or launch new analysis</prompt>
</input>
</start>
<typeanal>
<ProgType>choice</ProgType>
<prompt>start analysis ...</prompt>
<description>
Choose the number of space domains (with identical time domains) for this analysis|
This corresponds to the number of SPM analyses that have previously|
been done and that will be included in the multivariate computations|
(e.g. this number is 1 for fixed effect analysis - and in fact is generally 1 ...)
</description>
<input>
<label>MLM|SVD</label>
<prompt>type of analysis ?</prompt>
</input>
</typeanal>
<god>
<ProgType>dir</ProgType>
<prompt>global subjects results ...</prompt>
<description>
'Select a directory. Results concerning this specific space domain '
'will be saved in this directory '
</description>
<input>
<prompt></prompt>
</input>
</god>
<subjects>
<subject>
<iod>
<ProgType>dir</ProgType>
<prompt>global subjects results ...</prompt>
<description>
'Select a directory. Results concerning this specific space domain '
'will be saved in this directory '
</description>
<input>
<prompt></prompt>
</input>
</iod>
<mod>
<ProgType>file</ProgType>
<prompt>Model setting...</prompt>
<description>
'Select a SPM.mat matrix. This will define an experimental model '
'that will be used to either remove some components of no interest '
'or to reduce the data to the part that correlates with part of '
'this model (projection onto some space of interest). '
</description>
<input>
<prompt></prompt>
<filter>SPM.mat</filter>
<nb>1</nb>
</input>
</mod>
<Image>
<ProgType>file</ProgType>
<prompt>Data Image...</prompt>
<description>
'choose the functional images to work on:'
</description>
<input>
<prompt></prompt>
<filter>img</filter>
</input>
</Image>
</subject>
</subjects>
<neig>
<ProgType>edit</ProgType>
<prompt>EigenImage...</prompt>
<description>
'Choose the base-name for the output eigen image '
'Eigenimages will be named "base-name"NNNN where NNNN '
'is the eigen image number'
</description>
<input>
<prompt>eigen image base name, </prompt>
<etype>string</etype>
<def>Eigen</def>
</input>
</neig>
<leig>
<ProgType>edit</ProgType>
<prompt>EigenImage...</prompt>
<description>
''Choose the number of eigenimage to be saved. '
'You can choose a small number, 5 is generally enough to start with '
'Type for example 1:5 to save the first 5 eigenimages '
'You will be given later the possibillty to compute a new set of eigenimage.'
</description>
<input>
<prompt>number of eigenImage?</prompt>
<etype>evaluated</etype>
<def>1:5</def>
</input>
</leig>
<Pres>
<ProgType>choice</ProgType>
<prompt>residual space ...</prompt>
<description>
'Choose yes if you want to perform the analysis '
'in the residual space. This means that the part of the data that correlates '
'with X*c where c is your contrast (possibly multidimensional) and '
'X is the design matrix will be removed.'
</description>
<input>
<label>Yes|No</label>
<values>[1 0]</values>
<prompt>Project in residual space ?</prompt>
</input>
</Pres>
<filter>
<ProgType>choice</ProgType>
<prompt>Apply filter ...</prompt>
<description>
'Choose yes if you want to filter the data by the temporal '
'filter that was used in the initial SPM analysis. In general '
'this is adviced unless you know exatly what you''re doing because'
'the model used to project the data onto a subspace has also been'
'temporally filtered'
</description>
<input>
<label>Yes|No</label>
<values>[1 0]</values>
<prompt>Filter ?</prompt>
</input>
</filter>
<dvres>
<ProgType>choice</ProgType>
<prompt>normalize by residuals SD ...</prompt>
<description>
'choose yes if you want to normalize the data '
'voxel per voxel by the estimate of the residual standard deviation'
</description>
<input>
<label>Yes|No</label>
<values>[1 0]</values>
<prompt>Normalize ?</prompt>
</input>
</dvres>
</variable>
</Analcfg>