ICAspat

ica_fmri_JM

This function performs a spatial ICA

utilities

Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or 'NIFTI' format. Note that the latest version of 'XQuartz' seems to be necessary under MacOS.

P. de Micheaux

AnalyzeFMRI

Functions for Analysis of fMRI Datasets Stored in the ANALYZE or
'NIFTI' Format

Pierre Lafaye De Micheaux

Jonathan L Marchini

Cleve Moler

Jack Dongarra

Richard Hanson

Sven Hammarling

Jeremy Du Croz

ICAspat function

<dl>
<dt>X</dt>
<dd>a matrix of size tm x vm which contains the functionnal images</dd> <dt>n.comp</dt>
<dd>number of maximally independent components to extract</dd> <dt>alg.typ</dt>
<dd>if 'alg.typ == "parallel"' the components are extracted
 simultaneously (the default). if 'alg.typ == "deflation"' the
 components are extracted one at a time.</dd> <dt>centering</dt>
<dd>Logical. Should we center the data first. Centering
 will be performed by firstly removing the column mean.</dd> <dt>hp.filter</dt>
<dd>Logical. Should we perform high-pass filtering on the
 data</dd></dl>

Arguments

ICAspat — ICAspat

<dl>
<dt>X</dt>
<dd>a matrix of size tm x vm which contains the functionnal images</dd>

 <dt>n.comp</dt>
<dd>number of maximally independent components to extract</dd>

 <dt>alg.typ</dt>
<dd>if 'alg.typ == "parallel"' the components are extracted
 simultaneously (the default). if 'alg.typ == "deflation"' the
 components are extracted one at a time.</dd>

 <dt>centering</dt>
<dd>Logical. Should we center the data first. Centering
 will be performed by firstly removing the column mean.</dd>

 <dt>hp.filter</dt>
<dd>Logical. Should we perform high-pass filtering on the
 data</dd>

</dl>

ICAspat: ICAspat

Description

Usage

Value

Arguments

See Also