statistical parametric mapping
Also written as: SPM — statistical parametric mapping
Analytical framework for statistical analysis of neuroimaging data using voxel-wise hypothesis testing.
Full Definition
Statistical parametric mapping (SPM) is a computational framework for analyzing neuroimaging data that applies statistical hypothesis testing at every voxel to create statistical maps of brain activation or anatomical differences. This approach uses the general linear model to identify significant effects while controlling for multiple comparisons across the entire brain volume. SPM methodology forms the foundation of most neuroimaging analysis packages and enables objective, reproducible identification of brain regions associated with experimental conditions or clinical variables.
Usage
Usage note: Spell out on first use, then use SPM abbreviation consistently.
In Context
- "Statistical parametric mapping identified significant clusters in bilateral motor cortex during the finger-tapping task." — fMRI analysis results
- "The study employed statistical parametric mapping with family-wise error correction at p<0.05." — Methods section