Investigating language with MEG

Educational Course: Investigating language with MEG

Date: 19 August 2019

Time: 08:30–16:30

Location: Aalto University Otaniemi campus, Espoo, Finland

Late registration extended until 19.8.

Click here to register: https://eage.aalto.fi/?f/en/SNL

Course description:

This whole-day course will provide a firm understanding of the neural activity that generates the measured MEG signal, as well as of source localization techniques that map the measured signal to the underlying brain structures. The course gives insight into the different types of measures that can be extracted from the multidimensional MEG signal, their benefits and limitations, and how they can be used to shed light on language processing. A strong emphasis is placed on novel methods for analyzing MEG data: measures of functional connectivity as well as machine learning methods. Language development is highlighted as a particular application of MEG in studying language.

Faculty:

Keynote speaker:

Jan-Mathijs Schoffelen, Donders Institute for Brain, Cognition, and Behaviour, Radboud University, The Netherlands

Confirmed speakers:

Physiological and physical principles of MEG

Mia Liljeström, Aalto University, Finland

Different types of neural measures: evoked responses, cortical oscillations, and connectivity

Jan Kujala, University of Jyväskylä, Finland

MEG data analysis hands-on session: an introduction to MNE-Python

Marijn van Vliet, Aalto University, Finland

Using MEG to study language development

Tiina Parviainen, University of Jyväskylä, Finland

Making use of machine learning in analyzing your MEG data

Lauri Parkkonen, Aalto University, Finland

MEG development and applications: new sensors, decoding speech, and multimodal imaging

Rasmus Zetter, Aalto University, Finland

Anni Nora, Aalto University, Finland

Linda Henriksson, Aalto University, Finland

Organizers:

Mia Liljeström, Aalto University

Linda Henriksson, Aalto University

Jan Kujala, University of Jyväskylä