A MATLAB toolbox for analyzing brain imaging data sequences.
SPM12 is a software package developed for the analysis of brain imaging data sequences (fMRI, PET, SPECT, EEG, MEG). It leverages MATLAB's technical computing environment, employing a combination of M-files and computationally intensive C-MEX routines for optimal performance. The software supports the NIFTI-1 file format for image data, ensuring compatibility with other neuroimaging tools, and also reads the older Analyze format. It includes tools for importing data from various formats like DICOM and PAR/REC. SPM12 offers a comprehensive suite of statistical parametric mapping techniques, enabling researchers to conduct sophisticated analyses, including general linear models, Bayesian inference, and nonlinear models, to identify statistically significant changes in brain activity related to experimental conditions.
SPM12 is a software package developed for the analysis of brain imaging data sequences (fMRI, PET, SPECT, EEG, MEG).
Explore all tools that specialize in spatial normalization. This domain focus ensures Statistical Parametric Mapping (SPM12) delivers optimized results for this specific requirement.
Explore all tools that specialize in general linear model (glm) setup. This domain focus ensures Statistical Parametric Mapping (SPM12) delivers optimized results for this specific requirement.
Explore all tools that specialize in thresholding and correction. This domain focus ensures Statistical Parametric Mapping (SPM12) delivers optimized results for this specific requirement.
SPM12 uses GLM to model brain activity as a linear combination of experimental factors and confounds, enabling the identification of brain regions showing significant responses.
SPM12 provides tools for Bayesian model selection, allowing researchers to compare the evidence for different models of brain activity and choose the best-fitting model.
SPM12 supports nonlinear models for analyzing brain activity, allowing researchers to capture complex relationships between experimental variables and brain responses.
VBM is a technique for analyzing structural brain images, allowing researchers to identify regional differences in gray matter volume and density.
DCM is a technique for inferring the causal interactions between brain regions, allowing researchers to study how brain networks are modulated by experimental context.
Install MATLAB (version R2007a - R2023b)
Download SPM12 from the FIL website after completing the download form
Unzip the SPM12 package to a directory of your choice
Add the SPM12 directory to the MATLAB path
Start MATLAB and type 'spm' in the command window to launch the SPM GUI
Consult the SPM12 manual and online documentation for detailed instructions
All Set
Ready to go
Verified feedback from other users.
"SPM12 is a highly regarded and widely used neuroimaging software package known for its comprehensive functionality and statistical rigor."
Post questions, share tips, and help other users.
NITRC facilitates the discovery, sharing, and use of neuroimaging resources, including software, data, and cloud computing environments.
AFLOWlib.org is a materials science repository providing access to calculated properties of inorganic crystalline compounds.
A repository of electronic preprints for quantitative biology research.
Brian is a free, open source simulator for spiking neural networks designed for ease of use, flexibility, and extensibility.