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 ([log in to unmask]). With best wishes, Vladimir Litvak Ph.D. Lecturer 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.