<div dir="ltr"><div><div><div><div>Dear colleagues,<br><br></div>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.<br>
<br></div>With best wishes,<br><br></div>Vladimir Litvak<br></div>on behalf of the course faculty<br><div><div><div><div><div><br><div class="gmail_quote">---------------------------------------------------------------------------------------------------------<br>
<br><div dir="ltr"><div>Dear colleagues,</div><div><br></div><div>We are happy to advertise the 2013 Statistical Parametric Mapping for</div><div>MEG/EEG course presented by the Wellcome Trust Centre for</div><div>Neuroimaging. The course will take place on Monday 13th May –Wednesday</div>
<div>15th May 2013 at the Wellcome Trust Centre for Neuroimaging in London.</div><div><br></div><div>This course will present instruction on the analysis of EEG and MEG</div><div>data. The first two days will combine theoretical presentations with</div>
<div>practical demonstrations of the different data analysis methods</div><div>implemented in SPM. On the last day participants will have the</div><div>opportunity to work on SPM tutorial data sets under the supervision of</div>
<div>the course faculty. We also invite students to bring their own data</div><div>for analysis. The course will cover (1) data pre-processing, (2)</div><div>statistical analysis of sensor-space maps using GLMs and Random Field</div>
<div>theory, (3) source reconstruction and (4) Dynamic Causal Modelling for</div><div>EEG/MEG. The course will be followed by the long-established three-day</div><div>course on ‘SPM for fMRI’ so it is possible to attend both courses.</div>
<div><br></div><div>The course is suitable for beginners and more advanced users. We</div><div>advise students to gain at least minimal familiarity with the</div><div>methodology, for example, from reading the paper available at</div>
<div><a href="http://www.hindawi.com/journals/cin/2011/852961/" target="_blank">http://www.hindawi.com/journals/cin/2011/852961/</a> and other</div><div>introductory articles listed at the SPM website or by following data</div>
<div>analysis examples in the SPM manual. Video lectures from the 2012 course </div>
<div>are available at <a href="http://www.fil.ion.ucl.ac.uk/spm/course/video/#MEEG" target="_blank">http://www.fil.ion.ucl.ac.uk/spm/course/video/#MEEG</a></div><div><br></div><div>For the practical part of the course please bring a laptop that can</div>
<div>run Matlab (7.4 or later, no toolboxes are required) and is powerful</div><div>enough to analyse your data (64-bit OS is highly recommended).</div><div><br></div><div>The detailed schedule and booking forms can be found at</div>
<div><a href="http://www.ion.ucl.ac.uk/articles/events/SPM" target="_blank">http://www.ion.ucl.ac.uk/articles/events/SPM</a> . For further details and</div><div>registration please contact Jean Reynolds (<a href="mailto:jean.reynolds@ucl.ac.uk" target="_blank">jean.reynolds@ucl.ac.uk</a>).</div>
<div><br></div><div><br></div><div>With best wishes,</div><div><br></div><div>Vladimir Litvak Ph.D.</div><div>Lecturer</div><div>Wellcome Trust Centre for Neuroimaging</div><div>--------------------------------------------------------------------------------------------------</div>
<div><br></div><div>SPM (<a href="http://www.fil.ion.ucl.ac.uk/spm/" target="_blank">http://www.fil.ion.ucl.ac.uk/spm/</a>) is free and open source</div><div>software written in MATLAB (The MathWorks, Inc.). In addition to</div>
<div>standard M/EEG pre-processing, we presently offer three main analysis</div>
<div>tools: (i) statistical analysis of scalp-maps, time-frequency images</div><div>and volumetric 3D source reconstruction images based on the general</div><div>linear model, with correction for multiple comparisons using random</div>
<div>field theory; (ii) Bayesian M/EEG source reconstruction, including</div><div>support for group studies, simultaneous EEG and MEG, and fMRI priors;</div><div>(iii) Dynamic Causal Modelling (DCM), an approach combining neural</div>
<div>modelling with data analysis for which there are several variants</div><div>dealing with evoked responses, steady state responses (power spectra</div><div>and cross-spectra), induced responses and phase coupling. SPM is</div>
<div>integrated with the FieldTrip toolbox</div><div>(<a href="http://fieldtrip.fcdonders.nl/" target="_blank">http://fieldtrip.fcdonders.nl/</a>), making it possible for users to</div><div>combine a variety of standard analysis methods with new schemes</div>
<div>implemented in SPM and build custom analysis tools using powerful</div><div>graphical user interface (GUI) and batching tools.</div></div>
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