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 (The MathWorks, Inc) functions and subroutines with some externally compiled C routines.

## Overview

- SPM website at the Wellcome Trust Centre for Neuroimaging, UCL, UK.
- 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:

- Windows
- Windows 64bit
- Linux
- Linux 64bit
- Mac OS (Intel)
- Mac OS (Intel) 64bit
- Mac OS (PowerPc)
- SunOS / Solaris

Standalone version (beta) using the MATLAB Compiler:

Optimising your installation:

## Experimental Design for fMRI

- Design efficiency
- Block design
- Event related design

## Preprocessing

- Slice Timing
- Realignment
- Unwarp
- Coregistration
- Normalisation
- Segmentation
- Spatial smoothing

## Modelling

- Haemodynamic Response Function
- Basis functions
- General Linear Model
- Correlation and Regression
- Linear Hierarchical Models
- Covariance
- Autocorrelation
- Non-sphericity

## Statistical Inference

- F and T tests
- Contrasts
- Inference
- Conjunction
- Power Analysis
- About Correlation
- Bayesian Inference
- Results Table
- Information to include in papers
- Calculating Percentage signal change
- Comparing a single patient versus a group of controls

## Voxel Based Morphometry

- VBM (Voxel Based Morphometry)

## Connectivity Analysis

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

## Misc

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

## Other tools

- Cogent a MATLAB-based stimulus presentation software
- MRIcron a medical images viewer
- MarsBaR region of interest toolbox for SPM
- SnPM Statistical nonParametric Mapping
- Anatomy SPM Anatomy toolbox
- AAL Anatomical Automatic Labeling
- WFU_PickAtlas a region of interest toolbox for SPM based on the Talairach Daemon Database
- Physiological noise correction