Stud.IP Uni Oldenburg
University of Oldenburg
30.03.2023 10:04:54
psy270 - Functional MRI Data Analysis (Complete module description)
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Module label Functional MRI Data Analysis
Modulkürzel psy270
Credit points 9.0 KP
Workload 270 h
Institute directory Department of Psychology
Verwendbarkeit des Moduls
  • Master's Programme Biology (Master) > Background Modules
  • Master's Programme Neurocognitive Psychology (Master) > Mastermodule
  • Master's Programme Neuroscience (Master) > Background Modules
Zuständige Personen
Gießing, Carsten (Module responsibility)
Gießing, Carsten (Prüfungsberechtigt)
Enrolment in Master's programme Neurocognitive Psychology.
Skills to be acquired in this module
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.

++ experimental methods
++ statistics & scientific programming
+ data presentation & discussion
++ group work
Module contents
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.
Language of instruction English
Duration (semesters) 1 Semester
Module frequency The module will be offered every summer term.
Module capacity 15 (
The remaining places are reserved for Biology and Neuroscience students.
Reference text
Since the module is primarily offered for the Master's programme Biology it has to be offered as
a blocked course. Please contact us if you are interested in the module but have problems with
interfering other courses.

We strongly recommend to take either psy170, psy270, psy280, or psy220 to gain
methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects
and Master's theses!
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method blocked course with lecture, interactive seminar and exercise parts
Vorkenntnisse / Previous knowledge Students need to have solid statistical knowledge as taught in the Introductory Course Statistics and in Research Methods.
Examination Prüfungszeiten Type of examination
Final exam of module
end of summer term
Oral or written examination

Required active participation for gaining credits:
1-2 presentations
participation in discussions on other presentations
attendance of at least 70% in the seminars and exercises (will be checked in StudIP).
Form of instruction Seminar
Frequency SoSe
Workload Präsenzzeit 14 h