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A free and open-source software package for the analysis of brain imaging data sequences.

Statistical Parametric Mapping (SPM) is a software package designed for the analysis of brain imaging data sequences. It's built on the concept of spatially extended statistical processes to test hypotheses about functional imaging data obtained through techniques like fMRI, PET, SPECT, EEG, and MEG. SPM allows researchers to analyze data from different cohorts or time-series from the same subject. Key functionalities include preprocessing, statistical modeling using the general linear model, and statistical inference to identify significant brain activation patterns. Being open-source, SPM promotes collaborative development and standardized analysis across laboratories, allowing researchers to extend the core functionality. The software provides online tutorials, documentation, and a discussion list, fostering a community-driven environment.
Statistical Parametric Mapping (SPM) is a software package designed for the analysis of brain imaging data sequences.
Explore all tools that specialize in perform statistical analysis. This domain focus ensures Statistical Parametric Mapping (SPM) delivers optimized results for this specific requirement.
Explore all tools that specialize in hypothesis testing. This domain focus ensures Statistical Parametric Mapping (SPM) delivers optimized results for this specific requirement.
SPM utilizes the GLM to model the relationship between experimental conditions and brain activity, allowing for complex designs and statistical inference.
Includes tools for image realignment, normalization, and smoothing, ensuring data quality and comparability across subjects.
SPM implements various statistical tests and correction methods (e.g., FWE, FDR) to control for multiple comparisons and identify significant brain activation.
Allows users to define specific brain regions of interest and extract statistical information, facilitating targeted analyses.
DCM allows users to model effective connectivity between brain regions, providing insights into the causal relationships between neural activity.
Download the latest version of the SPM software.
Download a sample dataset (e.g., epoch fMRI) for analysis.
Follow the step-by-step instructions in the online tutorials.
Familiarize yourself with the SPM interface and modules.
Load and preprocess the imaging data using SPM's preprocessing tools.
Define a statistical model using the general linear model (GLM).
Estimate the model parameters and conduct statistical inference.
Interpret the results and generate statistical maps of brain activity.
All Set
Ready to go
Verified feedback from other users.
"SPM is highly regarded for its comprehensive functionality and robust statistical methods in neuroimaging analysis."
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