Diff for "SpmAnalysis" - Meg Wiki
location: Diff for "SpmAnalysis"
Differences between revisions 45 and 46
Revision 45 as of 2008-06-04 13:01:49
Size: 2319
Editor: RikHenson
Revision 46 as of 2008-11-06 18:30:41
Size: 2853
Editor: JasonTaylor
Deletions are marked like this. Additions are marked like this.
Line 16: Line 16:

 * Miscellaneous helpful SPM/Matlab functions we've written can be found here: http://imaging.mrc-cbu.cam.ac.uk/svn/meg_misc/devel/ For permission to contribute to or edit this repository, contact Ian Nimmo-Smith.

 * A meta-toolbox of functions that allow you to apply EEGLAB functions (eg. ICA, plot raw data, plot ERFimage) to SPM-format MEG data can be found here: http://imaging.mrc-cbu.cam.ac.uk/svn/spmeeglab/devel/ For further information, contact Jason Taylor. Help on artefact correction using ICA is forthcoming...

Analysis of MEG Data in SPM5

  • For specific demo using data from our Neuromag MEG machine, see SpmDemo

  • For a fuller demo of other EEG/MEG analysis in SPM5 (though from a different MEG machine), including more general features (e.g, time-freq analysis, 3D statistical maps), with proper step-by-step instructions via the GUI, see: http://www.fil.ion.ucl.ac.uk/spm/data/mmfaces.html

  • For a more theoretical introduction to source localisation in SPM5, see these slides: attachment:henson-SPM-Grad08-4-meeg.ppt

Here are some relevant papers:

  • Summary of localisation approach using ReML for evoked and induced responses (mathematical; cites earlier development papers too): attachment:FristonEtAl_hbm_06.pdf

  • Basic considerations for Group Analyses (though using individual meshes): attachment:HensonEtAl_NI_07.pdf

  • Use of inverse-normalised canonical meshes: attachment:MattoutEtAl_JCIN_07.pdf

  • New method of Multiple Sparse Priors (MSP): attachment:FristonEtAl_NI_08_MSP.pdf

Additional SPM5 functions:

General advice:

  • First you will probably want to run your raw data through the [:Maxfilter:Maxfilter utility], particularly if you 1) used Active Shielding during acquisition, 2) if you want to apply SSS to remove noise, 3) if you used continuous HPI. Max Filter can also downsample (eg from 1000Hz to 200Hz) and convert the data into different datatypes (e.g, short), which will help reduce filesize and processing time.

  • Next you will need to convert your *.FIF files into Matlab and SPM format. For those using SPM5 at the CBU, this is now an option on the SPM5 GUI "convert" button (when in "EEG" mode) (which utilises the function spm_eeg_rdata_FIF.m). Then you can perform averaging, filtering and other preprocessing in SPM, as well as distributed source localisation.

CbuMeg: SpmAnalysis (last edited 2013-03-08 10:02:27 by localhost)