Advanced analysis and source modeling of EEG and MEG data

On April 3-6, 2017 we will host the “Advanced MEG/EEG Tool-kit” at the Donders Institute in Nijmegen.

This intense 4-day toolkit course will teach you advanced MEG and EEG data analysis skills. Preprocessing, frequency analysis, source reconstruction, connectivity and various statistical methods will be covered. The toolkit will consist of a number of lectures, followed by hands-on sessions in which you will be tutored through the complete analysis of a MEG data, and there will also be plenty of opportunity to interact and ask questions to us about your research and data. On the final day you will have the opportunity to work on your own dataset under supervision of the tutors.

Organizers: Robert Oostenveld and Jan-Mathijs Schoffelen, with the help of many colleagues.

Detailed Program

Monday April 3, 2017

09:00-09:30 Registration, handouts and coffee
09.30-09:45 Welcome
09:45-10:45 Introduction to EEG/MEG and introduction to the FieldTrip toolbox - lecture
10:45-11:00 Coffee Break
11:00-12:00 Data acquisition demonstration in the EEG and MEG labs
12:00-13:00 Lunch
13:00-14:45 Introduction to Event-Related Fields - hands-on
14:45-15:15 Tea Break
15:15-16:30 Fundamentals of neuronal oscillations and synchrony - lecture
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers

Tuesday April 4, 2017

09:00-10:45 Time-frequency analysis of power - hands-on
10:45-11:00 Coffee Break
11:00-12:15 Forward and inverse modeling - lecture
12:15-13:00 Lunch
13:00-14:00 Statistics using non-parametric randomization techniques - lecture
14:00-15:00 Statistics using non-parametric randomization techniques - hands-on
15:00-15:30 Tea break
15:30-16:30 Statistics using non-parametric randomization techniques - (continued)
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers
19:00-21:30 Free DINNER - included in registration

Mi Barrio
Fransestraat 58, Nijmegen
http://mibarrio.nl
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Wednesday April 5, 2017

09:00-10:00 Source reconstruction using beamformers - lecture
10:00-10:15 Coffee Break
10:15-12:15 Identifying oscillatory sources using beamformers - hands-on
12:15-13:00 Lunch
13:00-14:00 Connectivity analysis in MEG and EEG data - lecture
14:00-15:00 Analysis of sensor- and source-level connectivity - hands-on
15:00-15:30 Tea Break
15:30-16:30 Analysis of sensor- and source-level connectivity (continued)
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers

Thursday April 6, 2017

9:00-14:00 FieldTrip playground, bring your own data!
12:30-13:00 Lunch
13:00-14:00 FieldTrip playground continued
14:00-14:15 Tea break
14:15-15.00 Testimonial & evaluation

Getting started with the hands-on sessions

For the hands-on sessions we will use MATLAB R2012b, which you can start from the Desktop shortcut. To ensure that everything runs smooth, we will work with a clean and well-tested version of FieldTrip that we have installed on all computers and that we will bring on on a USB stick. Importantly, the tutorial data does not have to be downloaded but will also be distributed on the computers and available on the USB stick.

Please do not use another MATLAB version than 2016b. It should be available on all hands-on computers.

A recent copy of FieldTrip and the data have been preinstalled on the computer and you do not have to download anything. Also, it should NOT be necessary to execute the following lines of code. These are only needed if you DO NOT start the MATLAB from the Desktop shortcut. In other words, you will probably always want to start MATLAB from the Desktop shortcut. 

restoredefaultpath
cd D:\toolkit\fieldtrip
addpath(pwd)
ft_defaults

cd D:\toolkit\data

The restoredefaultpath command clears your path, keeping only the official MATLAB toolboxes. The addpath(pwd) statement adds the present working directory, i.e. the directory containing the fieldtrip main functions. The ft_defaults command ensures that all required subdirectories are added to the path.

In general, please do NOT use the graphical path management tool from MATLAB. In this hands-on session we'll manage the path from the command line, but in general you are much better off using the startup.m file than the path GUI.

Furthermore, please do NOT add fieldtrip with all subdirectories, subdirectories will be added automatically when needed, and only when needed (see this FAQ).