Advanced experimental skills

Faculteit Gedrags- en MaatschappijWetenschappen
Jaar 2019/20
Vakcode PSMCV-1
Vaknaam Advanced experimental skills
Niveau(s) master
Voertaal Engels
Periode semester I b

Uitgebreide vaknaam Advanced experimental skills
Leerdoelen After the introductory part of the course, students:
- know and understand basic information of signal properties and the theoretical concepts underlying physiological measurements, focusing on EEG,
- know the EEG recording hardware,
- can do basic EEG data analysis using Brain Vision Analyzer.
After the second part students:
- can perform more complex EEG analysis methods, including potential distributions and source localization.
After the third part students:
- know and understand the principles underlying fMRI, TMS and eyetracking.
Omschrijving Understanding human behaviour and underlying brain mechanisms in health and disease is one of the key research challenges of our time. In order to do so, researchers can use a vast number of techniques to study the relation between brain activity and behaviour. However, no single technique offers a complete picture – each has its own strengths and weaknesses. This course will provide a combination of advanced theoretical knowledge about different experimental techniques, used to study brain and behavior, and provides the student with hands-on experience with different methods that are commonly used in the Heymans Institute. It gives an overview of available methods to measure and evaluate physiological functions, by means of theoretical and practical experience. Methods focus on EEG, eye-movements , transcranial magnetic stimulation (TMS) and fMRI.
The course is divided into three parts.
Part A: Signal pre-processing and signal analysis.
This first part provides information about computer-based data acquisition and analysis. Practical exercises will be performed to enhance the students’ understanding of signal- and analysis characteristics.
Part B: Advanced EEG analysis.
In the second part, the course will introduce advanced EEG acquisition and analysis methods. This module follows up on basic knowledge of EEG measurement and analysis techniques, acquired in the Bachelor of sciences degree programme course “Experimental methods (PSB3E-MO7)”. This part focuses on potential distributions and source localization.
Part C: fMRI, TMS and analysis of movement.
The third part of the course introduces fMRI (functional magnetic resonance imaging) and Brain-Computer Interface (BCI) - single trial EEG analysis techniques, and eye tracking analysis. The fMRI section will consist of a theoretical introduction of the technique. The BCI consists of a theoretical part, which explicitly focuses on practical issues, followed by a demonstration of the technique. Principles of eye movement analysis will be explained, followed by hands-on experience with this technique.
Techniques taught in this course provide useful tools for performing both the Master thesis and subsequent doctoral research in the area of human behaviour and underlying brain mechanisms in both health and disease.
Uren per week 16
Onderwijsvorm practicum
(100% attendance is required (see Master’s study guide Psychology))
Toetsvorm deelname, deeltoets(en), opdrachten
(Modular exam(s) cannot be taken before the practicum of the related part is successfully completed)
Vaksoort master
Coördinator dr. M.M. Span
Docent(en) dr. J. Jolij ,dr. M.M. Span ,dr. A.A. Wijers
Verplichte literatuur
Titel Auteur ISBN Prijs
An Introduction to the Event-Related Potential Technique, Second Edition May 2014 Luck, Steven J. 9780262525855 ca. €  50,00
EEG methods for the psychological sciences Thousand Oaks, CA: Sage Publications, 2014. Dickter Cheryl L. & Kieffaber Paul D. 978-1-4462-83004 ca. €  62,00
Further literature to be announced
OR Ebook: An Introduction to the Event-Related Potential Technique, Second Edition June 2014 Luck, Steven J. 9780262324045 ca. €  50,00
Entreevoorwaarden PSB3E-M15 Experimental Skills is highly recommended
Opmerkingen Each part of the course takes 2 weeks. (niet toegankelijk voor externe studenten)
Opgenomen in
Opleiding Jaar Periode Type
MSc Human-Machine Communication  (C - Elective Course Units) - semester I b keuze
Ma psychologie (EN)  (Ma psychologie (Clinical neuropsychology) ) 1 semester I b keuze S
Ma psychologie (EN)  (Ma psychologie (Cognitive Psychology and Psychophysiology)) 1 semester I b keuze S
Ma psychologie (NL)  (Ma psychologie (Klinische Neuropsychologie) ) 1 semester I b keuze V