psy270 Functional MRI Data Analysis (Vollständige Modulbeschreibung)

Enrolment in Master's programme Neurocognitive Psychology, Neuroscience, or Biology.

Goals of module:
Students will learn the basics about planning and performing a neuroimaging study. They will
focus on the statistical and methodological background of functional neuroimaging data analysis
and analyse a sample functional MRI data set.

Competencies:
++ experimental methods
++ statistics & scientific programming
+ data presentation & discussion
++ group work

Theoretical knowledge on functional MRI data analysis
Planning, performance and analysis of functional neuroimaging studies using
MATLAB-based software
Hands-on fMRI data analysis with SPM

• Frackowiak RSJ, Friston KJ, Frith C, Dolan R, Price CJ, Zeki S, Ashburner J, and Penny WD (2003). Human Brain Function. Academic Press, 2nd edition. San Diego, USA.
• Huettel, SA, Song, AW, & McCarthy, G (2009). Functional Magnetic Resonance Imaging (2nd Edition). Sinauer Associates. Sunderland, MA, USA.
• Poldrack RA, Mumford JA, & Nichols TE (2011). Handbook of Functional MRI Data Analysis. Cambridge University Press. New York, USA.

PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy280, psy220 or psy290 to gain methodological competencies (EEG, fMRI, TBS, HCI, ambulatory assessment techniques) that are needed for most practical projects and Master's theses!

Capacity:
30

Teaching format:
blocked course with lecture, interactive seminar and exercise parts

Places in the module will be equally distributed between Neurocognitive Psychology, Neuroscience and Biology students!