FreewarePackages - Meg Wiki

Revision 22 as of 2009-03-16 10:32:17

Clear message
location: FreewarePackages

MEG Freeware Packages

There are many available; here are some (some comments may reflect ignorance!)

SPM5

Advantages:

  • Much experience at CBU, integrated with fMRI analysis
  • Matlab, so readable and extendable
  • Advanced statistical methods (e.g, for multiple comparisons across space or time),
  • Novel variants of the L2-norm approach to the inverse problem
  • Group-based analysis (eg in MNI/Talairach space).

Disadvantages:

  • Slow graphics
  • No ECD for MEG (yet)

Official website: http://www.fil.ion.ucl.ac.uk/spm/

Currently installed on all Linux Boxes (lowest load box selected by spm 5 eeg at linux prompt)

For more details, see here SpmAnalysis

MNE (Minimum Norm Estimates)

Advantages:

  • Advanced distributed solution methods (by Matti Hämäläinen, a long-standing expert with strong links to Neuromag)
  • Excellent, fast graphics
  • Linked with Free Surfer http://imaging.mrc-cbu.cam.ac.uk/imaging/FreesurferInformation (advanced software for MRI segmentation, extraction of cortical surfaces, and inflation/normalisation)

  • Matlab Toolbox, for exporting and importing data

Disadvantages:

  • Compiled code, so difficult to extend
  • No ECD for MEG (yet; can visualize xfit ECD)

Official website: http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/sofMNE.php

Installed on Linux Boxes. All Graphical tools must be used in the computing room on lws001, lws002, lws004, lws005, lws006 or using a vncserver.glx session (see http://imaging.mrc-cbu.cam.ac.uk/imaging/ImagingComputingDevelopments).

To do the tutorial use mne_tutorial instead of mne_setup_2.5

DansPage

CBU Data Screening Tool

Matlab utilities for quality control of your data prior to further processing. More here: DataScreeiningTool

Applying linear regressors to EEG/MEG data

Matlab tools for applying multiple linear regression to EEG/MEG data. More here: LinearRegression You may want to follow the following AnalysisPath

FieldTrip

Advantages:

  • Strong in oscillatory analysis (time-frequency, coherence) and beamformers (eg DICS)
  • In Matlab, so easily readable and extendable

Official website: http://www.ru.nl/fcdonders/fieldtrip/

Yet Others