Multivariate and Repeated Measures (MRM)

Description

MRM is a MATLAB toolbox designed for the user-friendly specification of repeated-measures and multimodal group-level models of neuroimaging data using the multivariate general linear model (GLM). Features include

• Permutation based inference for FWE correction at both the cluster and voxel-level

• Automatic peak labelling using a variety of atlases

• Cluster size and cluster mass available

• Facilities for descriptive linear discriminant analysis after MANOVA

• Automatic contrast generation

• Tools for result exploration including flexible plotting facilities and parametric assumption testing

• Ability to mask analysis for regions of interest

• Ability to specify univariate models to make use of the above features without dependent data

MRM is free to download for research use only. If you would like to know more about the software, please contact one of the developers

• martyn.mcfarquhar@manchester.ac.uk

• shane.mckie@manchester.ac.uk

Requirements

MATLAB 2013a or higher. Some features require the Statistics Toolbox and the Image Processing Toolbox (the core of the software will run without it). A minimum of 4GB of RAM is also recommended.

Issues: To report bugs or request features please log an issue on the software’s Github page at: https://github.com/martynmcfarquhar/MRM/issues