[FieldTrip] Statistical Parametric Mapping for MEG/EEG 2013 course - final reminder

Vladimir Litvak litvak.vladimir at gmail.com
Sat Apr 20 05:46:38 CEST 2013

Dear colleagues,

There are still a few places left for the May SPM for M/EEG course in
London. This is the first course where SPM12b will be taught. The course
program will also include a new extended demo of a group analysis of
multimodal MEG-EEG dataset in SPM. Please see below for further details.

With best wishes,

Vladimir Litvak
on behalf of the course faculty


Dear colleagues,

We are happy to advertise the 2013 Statistical Parametric Mapping for
MEG/EEG course presented by the Wellcome Trust Centre for
Neuroimaging. The course will take place on Monday 13th May –Wednesday
15th May 2013 at the Wellcome Trust Centre for Neuroimaging in London.

This course will present instruction on the analysis of EEG and MEG
data.  The first two days will combine theoretical presentations with
practical demonstrations of the different data analysis methods
implemented in SPM.  On the last day participants will have the
opportunity to work on SPM tutorial data sets under the supervision of
the course faculty.  We also invite students to bring their own data
for analysis.  The course will cover (1) data pre-processing, (2)
statistical analysis of sensor-space maps using GLMs and Random Field
theory, (3) source reconstruction and (4) Dynamic Causal Modelling for
EEG/MEG. The course will be followed by the long-established three-day
course on ‘SPM for fMRI’ so it is possible to attend both courses.

The course is suitable for beginners and more advanced users. We
advise students to gain at least minimal familiarity with the
methodology, for example, from reading the paper available at
http://www.hindawi.com/journals/cin/2011/852961/ and other
introductory articles listed at the SPM website or by following data
analysis examples in the SPM manual. Video lectures from the 2012 course
are available at http://www.fil.ion.ucl.ac.uk/spm/course/video/#MEEG

For the practical part of the course please bring a laptop that can
run Matlab (7.4 or later, no toolboxes are required) and is powerful
enough to analyse your data (64-bit OS is highly recommended).

The detailed schedule and booking forms can be found at
http://www.ion.ucl.ac.uk/articles/events/SPM . For further details and
registration please contact Jean Reynolds (jean.reynolds at ucl.ac.uk).

With best wishes,

Vladimir Litvak Ph.D.
Wellcome Trust Centre for Neuroimaging

SPM (http://www.fil.ion.ucl.ac.uk/spm/) is free and open source
software written in MATLAB (The MathWorks, Inc.). In addition to
standard M/EEG pre-processing, we presently offer three main analysis
tools: (i) statistical analysis of scalp-maps, time-frequency images
and volumetric 3D source reconstruction images based on the general
linear model, with correction for multiple comparisons using random
field theory; (ii) Bayesian M/EEG source reconstruction, including
support for group studies, simultaneous EEG and MEG, and fMRI priors;
(iii) Dynamic Causal Modelling (DCM), an approach combining neural
modelling with data analysis for which there are several variants
dealing with evoked responses, steady state responses (power spectra
and cross-spectra), induced responses and phase coupling. SPM is
integrated with the FieldTrip toolbox
(http://fieldtrip.fcdonders.nl/), making it possible for users to
combine a variety of standard analysis methods with new schemes
implemented in SPM and build custom analysis tools using powerful
graphical user interface (GUI) and batching tools.
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