Data sets and tutorials
The following data sets are being made available for training and personal education and evaluation purposes. Those wishing to use these data for other purposes, including illustrations or evaluations of methods, should contact the Methods group at the Wellcome Centre for Human Neuroimaging.
A set of instructions showing how SPM can be used to analyse each data set are also provided. These tutorials show how one can use SPM to implement analyses of PET data, epoch or event-related fMRI data, and data from a group of subjects using Random effects analyses (RFX). They also cover more advanced topics such as Psychophysiological Interactions (PPIs) and Dynamic Causal Modelling (DCM).
The instructions accompanying these data sets show you how to implement a block-design fMRI analysis in SPM. They are both single-subject or 'first-level' analyses.
The instructions accompanying the Attention to Visual Motion data also show you how to use SPM to implement, for example, Psychophysiological Interactions (PPIs) and Dynamic Causal Modelling (DCM).
The instructions accompanying these data sets show you how to use SPM to analyse data for an event-related fMRI experiment. This includes, for example, selection of different temporal basis sets. They are both single-subject or 'first-level' analyses.
fMRI: multi-subject (random effects) analyses
These data sets comprise contrast images from single-subject fMRI analyses or 'first-level' analyses from the repetition priming experiment described here. In the summary statistic approach to Random Effects Analysis (RFX) these contrast images are then used in a 'second-level' analysis allowing you to make inferences about the population from which the subjects were drawn.
fMRI: Bayesian comparison of DCMs
Dynamic Causal Models from an event related fMRI study of the language system are available here
EEG Single Subject Mismatch Negativity dataset
This is an 128-channel EEG single subject example data set which is used for demonstrating the usage of scripts in M/EEG pre-processing and DCM for evoked responses.
Anaesthesia Depth in Rodent Data
This 2-channel Local Field Potential (LFPs) dataset demonstrates the use of DCM for Cross Spectral Densities.
This archive contains EEG, MEG and fMRI data on the same subject within the same paradigm.
It can be used to examine how various measures of face perception, such as the "N170" ERP (EEG), the "M170" ERF (MEG) and fusiform activation (fMRI), are related. For example, the localisation of the generator(s) of the N170 and/or M170 can be constrained by the fMRI activations.
It also includes a high resolution anatomical MRI image (aMRI) for construction of a head-model for the EEG and MEG data, together with data from a Polhemus digitizer that can be used to coregister the EEG and MEG data with the aMRI.
Here are two example data sets that can be used to demonstrate the usage of the FieldMap toolbox.
The instructions accompanying these data sets show you how to use SPM to analyse PET data.