SPM

__NOTOC__ __NOEDITSECTION__ thumb|Statistical Parametric Mapping 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 functions and subroutines with some externally compiled C routines. Overview SPM website Overview of SPM from Wikipedia Overview of SPM from Scholarpedia Introduction to Statistical Parametric Mapping History of Statistical Parametric Mapping in functional neuroimaging Installation Overview of SPM installation: Download System Requirements (hardware and software): MATLAB version Advice on hardware selection Detailed installation and compilation on: Windows 64bit Linux 64bit macOS 64bit Instructions for older platforms: Windows 32bit, Linux 32bit, MacOS (Intel), MacOS (PowerPc), SunOS / Solaris. Standalone version using the MATLAB Compiler: Standalone SPM Optimising your installation: Optimising MATLAB/SPM Containerisation: Docker and Singularity Miscellaneous: GNU Octave Julia Python Continuous Integration Experimental Design for fMRI Design efficiency Block design Event related design Data Formats Importing data from the scanner DICOM Import Preprocessing Slice Timing Normalisation Modelling Haemodynamic Response Function Basis functions General Linear Model Correlation and Regression Covariance Autocorrelation Non-sphericity Session concatenation Group analysis Statistical Inference F and T tests Contrasts Inference Power Analysis Correlation Information to include in papers Calculating Percentage signal change Comparing a single patient versus a group of controls Timeseries extraction Voxel Based Morphometry VBM (Voxel Based Morphometry) Connectivity Analysis Structural Equation Modelling Psychophysiological Interactions (PPI) Dynamic Causal Modelling (DCM) /The DCM Equation. 1. Motivation/ /The DCM Equation. 2. Dynamical Systems/ /The DCM Equation. 3. Networks and Matrices/ /The DCM Equation. 4. The State Equation/ Two-State DCM for fMRI /Bayesian Parameter Averaging (BPA)/ /Parametric Empirical Bayes (PEB)/ Misc How-tos Atlases Datasets BIDS Working with 4D data Programming intro Writing batch scripts No Display Mode Learning SPM: Courses, books and websites Other tools SPM Toolboxes and Extensions Scientific software S