Dear colleagues,
We are happy to advertise the 2011 Statistical Parametric Mapping for
MEG/EEG course presented by the Wellcome Trust Centre for
Neuroimaging. The course will take place on Monday 9th May –Wednesday
11th May 2011 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 recently published special
issue 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.
For the practical part of the course please bring a laptop that can
run Matlab (7.1 or later, no toolboxes are required) and is powerful
enough to analyse your data.
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 ([log in to unmask]).
Please do not postpone registering as the course is already close to being full.
With best wishes,
Vladimir Litvak Ph.D.
Lecturer
Wellcome Trust Centre for Neuroimaging
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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. SPM8 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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