psy275 - Essentials of fMRI Data Analysis with SPM and FSL (Complete module description)

Attendance: 56 h. (4 SWS), reading and practising: 124 h., total: 180 h.

Enrolment in Master’s programme Neurocognitive Psychology, 3rd semester or higher.

+ Neuropsychological / neurophysiological knowledge
+ interdisciplinary knowledge & thinking
++ experimental methods
++ statistics & scientific programming
+ data presentation & discussion
+ independent research
+ scientific literature
+ ethics / good scientific practice / professional behaviour
+ critical & analytical thinking
+ group work

This module offers a concise introduction to the basic principles of functional magnetic resonance imaging (fMRI). Students will gain essential knowledge about experimental design, data collection and analysis. Special emphasis will be laid on the statistical background of fMRI data analysis and a hands-on introduction to SPM and FSL, two widely-used and free software packages for fMRI data analysis and results visualisation.

1. Methodological basics of functional magnetic resonance imaging (fMRI)
2. Basic principles of fMRI experimental design and data collection
3. Statistical background of fMRI data analysis
4. Hands-on training in fMRI data analysis and results visualisation with SPM and FSL

• Huettel, S.A., Song, A.W., McCarthy, G. (3rd ed., 2014). Functional Magnetic
Resonance Imaging. Sunderland, MA: Sinauer.
• Friston, K.J., Ashburner, J.T., Kiebel, S. (Ed., 2006). Statistical Parametric Mapping: The Analysis of Functional Brain Images. Amsterdam etc.: Elsevier, Academic Press.

PLEASE NOTE:
We strongly recommend to take either psy170, psy270, psy275, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects and Master's theses!

end of winter term

written exam