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Target Group
Students ( (PhD) students, post-docs) planning to do EEG research. This course is given for Master students of the BCN C-track. BCN PhD students will be given the opportunity to participate as well
Prerequisites
No specific prior knowledge is required; however, academic skills are expected.
Form
Lectures, Assignments, Practical work
Attendance during the EEG-practicals and -lectures is mandatory. Consequence of not attending is exclusion of the written exam.
Description
Besides discussing the theoretical background of the EEG technique and the requirements of an experimental design of an EEG study in interactive lectures, students will become acquainted with EEG hard- and software during different practicals. In these practicals students will learn how to apply electrodes, and how to record and analyze the EEG signal. The MATLAB packages EEGlab and ERPlab will be used to perform these analyses.
Prior to the start of the course, the students are required to prepare by familiarizing themselves with the experiment creation and presentation software OpenSesame.
Learning outcomes
Apply basic knowledge about the theoretical background of the EEG technique and experimental paradigms to design an EEG experiment. In addition, the student will be able to collect high-quality EEG data, and to analyze EEG data using EEGlab and ERPLAB.
Perform a basic fMRI analysis, using practical and theoretical background knowledge about the technique.
Literature
Luck, S. J. (2014, 2nd edition). An introduction to the event-related potential technique. The MIT Press, Cambridge, England. (ISBN 9780262525855).
Instructors
Prof.dr. Monicque Lorist and Prof.dr. Natasha Maurits
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