neu305 - Essentials of fMRI Data Analysis with SPM and FSL

1 SWS Seminar (SE) fMRI: Experimental Design, Data Collection and Analysis
Total workload 45h: 14h contact / 31h literature work
3 SWS Supervised exercise (UE) Statistical Analysis of fMRI Data with SPM and FSL
Total workload 135h: 42h contact / 93h practice with sample fMRI data sets

+ Neurosci. knowlg.
++ Expt. Methods
+ Independent research
+ Scient. Literature
+ Social skills
+ Interdiscipl. knowlg.
++ Maths/Stats/Progr.
+ Data present./disc.
+ Scientific English
+ Ethics


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

Recommended textbook(s) or other literature:
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.

December

witten exam (multiple choice) In addition, mandatory but ungraded: continuous active participation