Analysing data
There are several options for analysing MEG and EEG data from the Neuromag machine at the CBU:
FreewarePackages
[http://imaging.mrc-cbu.cam.ac.uk/meg/SpmAnalysis SPM], developed at the [http://www.fil.ion.ucl.ac.uk/spm/ FIL] and at the [http://imaging.mrc-cbu.cam.ac.uk/meg/SpmAnalysis CBU].
[http://imaging.mrc-cbu.cam.ac.uk/meg/DansPage MNE], developed at [http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/sofMNE.php MGH]
[http://fieldtrip.fcdonders.nl/ Fieldtrip], developed at the Donders centre.
For some more details look [http://imaging.mrc-cbu.cam.ac.uk/meg/FreewarePackages here].
CommercialPackages
We've got one or more licenses for the following software packages:
[http://www.neuroscan.com/curry.cfm CURRY], [http://www.besa.de/ BESA], [http://www.ant-neuro.com/products/asa ASA], [http://www.sourcesignal.com/ EMSE], [http://www.brainproducts.com/productdetails.php?id=17 BrainVision Analyzer ]
Neuromag Software
The [http://imaging.mrc-cbu.cam.ac.uk/meg/NeuromagSoftware Neuromag software] is part of the [http://www.elekta.com/healthcare_international_elekta_neuromag.php Elekta Neuromag MEG system]. You can get a general idea about the analysis pathway from the [attachment:MEGAnalysisLectureJan07CBU.pdf CBU introductory lecture into MEG analysis] (the slides do not include the live software demos given at the lecture).
MaxFilter
[http://imaging.mrc-cbu.cam.ac.uk/meg/Maxfilter MaxFilter] is a pre-processing tool for MEG data, in order to remove noise sources likely to originate from outside the sensor array.
More info on pre-processing (e.g. trigger coding)
[http://imaging.mrc-cbu.cam.ac.uk/meg/preprocessing Pre-processing pages]
If all this is new to you...
You may want to start with a basic [http://www.mrc-cbu.cam.ac.uk/research/eeg/eeg_intro.html introduction to EEG and MEG analysis], and then look at the description of our [http://www.elekta.com/healthcare_international_elekta_neuromag.php Elekta Neuromag MEG system].
Your life as a neuroimager will be much easier if you have a good grasp on Linux (Unix) and Matlab. In general, I would recommend "learning by doing", but the following links will get you on your way, and may serve as useful references when you get stuck.
Matlab:
You can look at [http://www.mathworks.com/academia/student_center/tutorials/launchpad.html tutorials and demos] offered by Matlab itself. This site also contains links to Matlab tutorials at some universities. You may want to start with the [http://www.mathworks.com/access/helpdesk/help/pdf_doc/matlab/getstart.pdf Getting Started] section. The short introduction to [http://imaging.mrc-cbu.cam.ac.uk/imaging/LearningMatlab Matlab for psychologists] from the University of Nottingham is also useful.
Linux (Unix):
This is a systematic and well-illustrated [http://www.ee.surrey.ac.uk/Teaching/Unix/ introduction to linux].
Python:
Not essential for "normal" users, the scripting language [http://www.python.org/ Python] is increasingly becoming popular for its flexibility and simplicity. You could start with the [http://wiki.python.org/moin/BeginnersGuide Beginners' Guide].
MEG analysis software:
Most software packages will offer tutorials and demos. They will familiarise you with basic analysis principles, visualisation options, and give you an overview of what's available to you. It makes sense to do the tutorials of software packages even if you are not planning to use them routinely. For example, MNE includes an example data set (tutorial in the [http://www.nmr.mgh.harvard.edu/meg/manuals/MNE-manual-2.7.pdf manual]), and there is a [http://www.fil.ion.ucl.ac.uk/spm/data/mmfaces/ general SPM5 demo for MEG analysis], and a [http://imaging.mrc-cbu.cam.ac.uk/meg/SpmDemo tailor-made SPM5 demo for data acquired at the CBU].
And finally one last piece of advice: Talk to people! Ask questions! Try things out! And never give up...