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OHBM 2018 Educational Course Course Title: EEG and MEG Source Reconstruction with FieldTrip Part 1 Talk title: Preprocessing of MEG/EEG datasets and channel-level analysis Presenter: Sophie Schrader Course Description: MEG and EEG channel data provides limited information about the specific cortical regions involved in electric and magnetic brain activities. Source reconstruction overcomes these limitations and gives more insight into cortical activity. The easiest approach for source reconstruction is to use a spherical representation of the human head or a semirealistic template. There are scenarios in which this approximation leads to inaccurate and unreliable source reconstruction results. We will therefore demonstrate an easy-to-use MATLAB analysis pipeline based on the FieldTrip toolbox to increase the accuracy of the source analysis by using individualized realistically shaped volume conductor head models using individual anatomical data and the finite element method (FEM). This full-day educational course will give a comprehensive overview on the current state-of-the-art of MEG and EEG analysis and source reconstruction. During the workshop, the participants will work with a tutorial dataset and learn all important steps to preprocess data and accurately reconstruct cortical activity using the FEM and different inverse solutions. Particular care will be taken to provide hands-on training to the audience on robust and state-of-the-art source reconstruction methods for both basic and advanced MEG/EEG study designs. To report a problem with this video (such as an incorrectly labelled presenter or talk title), or if you are the presenter and would like the video to be removed, please contact info[at]humanbrainmapping.org