SPM (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.
SPM is made freely available to the [neuro]imaging community, to promote collaboration and a common analysis scheme across laboratories. The software represents the implementation of the theoretical concepts of Statistical Parametric Mapping in a complete analysis package, as a suite of MATLAB (The MathWorks, Inc) functions and subroutines with some externally compiled C routines.
Overview of SPM installation:
System Requirements (hardware and software):
Detailed installation and compilation on:
Standalone version using the MATLAB Compiler:
Optimising your installation:
Experimental Design for fMRI
Voxel Based Morphometry
- VBM (Voxel Based Morphometry)
- Introduction to connectivity
- Structural Equation Modelling
- Psychophysiological Interactions (PPI)
- Dynamic Causal Modelling (DCM)
- Cogent a MATLAB-based stimulus presentation software
- MRIcron and MRIcroGL medical images viewers
- MarsBaR region of interest toolbox for SPM
- SnPM Statistical nonParametric Mapping
- Anatomy SPM Anatomy toolbox
- AAL Anatomical Automatic Labeling
- WFU_PickAtlas a region of interest toolbox for SPM based on the Talairach Daemon Database
- Physiological noise correction
- Diffusion tools