Advanced MEG/EEG toolkit at the Donders

On 9-13 April 2018 we will host the “Advanced MEG/EEG toolkit” at the Donders Institute in Nijmegen.

This intense 5-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 MEG and EEG data sets, 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.

Organizer: Robert Oostenveld, with the help of many colleagues.

Monday April 9, 2018

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
13:00-15:00 Pre-processing (Hands-on)
15:00-15:15 Tea Break
15:15-16:30 Time frequency analysis of power (Lecture)
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers

Tuesday April 10, 2018

09:00-11:00 Time-frequency analysis of power (Hands-on)
11:00-11:15 Coffee Break
11:15-12:15 Spontaneous EEG and sleep (Lecture)
12:15-13:15 Lunch
13:15-15:15 Analysis of continuous EEG data (Hands-on)
15:15-15:30 Tea break
15:30-16:30 Forward and inverse (Lecture)
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers
18:30-22:00 Drinks & dinner at Mi Barrio

Wednesday April 11, 2018

09:00-10:00 Connectivity analysis in MEG and EEG data (Lecture)
10:00-10:45 Analysis of sensor- and source-level connectivity (Hands-on)
10:45-11:00 Coffee Break
11:00-12:15 Analysis of sensor- and source-level connectivity (Hands-on)
12:15-13:00 Lunch
13:00-14:15 Source reconstruction using beamformers (Lecture)
14:15-15:00 Beamforming (Hands-on)
15:00-15:15 Tea Break
15:30-16:30 Beamforming (Hands-on)
16:30-17:15 Wrap-up-the-day: special topics, general questions and answers

Thursday April 12, 2018

09:00-10:30 Statistics using non-parametric randomization techniques (Lecture)
10:30-10:45 Coffee break
10:45-12:00 Statistics using non-parametric randomization techniques (Hands-on)
12:00-13:00 Lunch
13:00-14:00 Statistics using non-parametric randomization techniques (Hands-on)
14:00-15:00 Large scale analyses and open science (Lecture and demo)
15:00-15:15 Tea break
15:15-17:15 FieldTrip playground part 1
17:15-18:00 Wrap-up-the-day: special topics, general questions and answers
18:00-23:00 Pizza, drinks, joint projects and hacking (optional)

Friday April 13, 2018

09:30-12:00 FieldTrip playground part 2
12:00-13:00 Lunch
13:00-14:30 FieldTrip playground part 3
14:30-14:45 Tea break, testimonials, evaluation

For the hands-on sessions we will use MATLAB R2016b, 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.


cd D:\toolkit2018

The restoredefaultpath command clears your path, keeping only the official MATLAB toolboxes. The addpath 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).