The course focuses on experimental design and analysis of MEG and EEG data. We will briefly introduce the basis of the MEG and EEG signal at a neural level, and how it is measured by the different sensor technologies applied in MEG and EEG. The data processing steps, before statistical analysis, will be explained. The application of general linear model analysis, parametric and nonparametric tests of MEG and EEG data will be explained, including correction for multiple comparisons. We will review experimental design considerations for developing MEG and EEG paradigms. The study of functional connectivity using MEG and EEG data will be introduced.
The students will attend lectures, implement different steps of the data preprocessing and analysis during the hands-on sessions, present and discuss results. It is possible to join the course remotely.
Instructions on how to apply: https://staff.ki.se/course-catalogue-and-vacancies-doctoral-courses
On November 30 and December 1, Aarhus University (Denmark) will host a practical winter school on MEG source reconstruction and neural oscillations and their analysis with with MNE Python. The event will be geared towards graduate students and postdocs new to either MEG or MNE-Python. As the school will take place as part of the Nordic MEG hub, students and postdocs involved with Nordic MEG labs are particularly invited, though will be open to anyone.
The workshop will be a mix of theoretical lectures and practical hands-on sessions with MNE Python. We expect that attendees will be able to take an MEG dataset from pre-processing to source reconstruction and time-frequency analysis by the end of the school.
Lecturers confimed so far include Lau Møller Andersen and Sarang Dalal from Aarhus University, and Natalie Schaworonkow from the Ernst Strüngmann Institute for Neuroscience (ESI Frankfurt). A detailed program will follow.
If you would like to attend, please register via the following form, preferably by November 1: here
You can find the program here
Travel grant application has closed. Successful applicants will be informed shortly.
Instructions for setting up for the workshop can be found here.