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Abstract :
[en] Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM.
The SPM software package has been designed for the analysis of brain imaging data sequences. The sequences can be a series of images from different cohorts, or time-series from the same subject. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG.
Technical description :
You need the following to run SPM8:
* MATLAB: MATLAB (The MathWorks) is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. SPM8 is designed to work from MATLAB versions 7.1 (R14SP3) to 8.1 (R2013a), and will not work with earlier versions. It requires only core MATLAB to run (i.e. no toolbox).
See the System Requirements page for a list of suitable platforms to run MATLAB and the Platform Roadmap for the correspondance between MATLAB versions and supported platforms.
* MATLAB MEX files: Whilst the majority of the code is implemented as standard MATLAB M-files, SPM also uses external MEX files, written in C, to perform some of the more computationally intensive operations. Pre-compiled binaries of these external C-MEX routines are provided for: Windows (32 and 64 bit), Linux (32 and 64 bit), Mac Intel (32 and 64 bit). For these platforms, SPM should work straight out of the box. For other platforms (Mac PowerPc and Sun Solaris), you will need to create the MEX files using a suitable C compiler and the Makefile provided with the SPM distribution. If you send us the compiled binaries, we would be happy to include them in the SPM archive for other users benefit.
File Format: SPM8 uses the NIFTI-1 file format for the image data. All images are written as NIFTI-1, but it will also read the old Analyze format used by SPM2. Tools are provided to import data from DICOM, MINC and ECAT7.
SPM8 also uses the GIfTI file format for surface-based data. NIfTI
A beta version of a standalone SPM (compiled using the MATLAB Compiler) is also available.
