# SPM

The SPM Wikibooks moved to https://www.fil.ion.ucl.ac.uk/spm/docs/ |

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:

System Requirements (hardware and software):

Detailed installation and compilation on:

Instructions for older platforms: Windows 32bit, Linux 32bit, MacOS (Intel), MacOS (PowerPc), SunOS / Solaris.

Standalone version using the MATLAB Compiler:

Optimising your installation:

Containerisation:

Miscellaneous:

## Experimental Design for fMRI

- Design efficiency
- Block design
- Event related design

## Data Formats

## Preprocessing

## Modelling

## Statistical Inference

## Voxel Based Morphometry

- VBM (Voxel Based Morphometry)

## Connectivity Analysis

- Structural Equation Modelling
- Psychophysiological Interactions (PPI)
- Dynamic Causal Modelling (DCM)

## Misc

- How-tos
- Atlases
- Datasets
- BIDS
- Working with 4D data
- Programming intro
- Writing batch scripts
- No Display Mode
- Learning SPM: Courses, books and websites