Stud.IP Uni Oldenburg
University of Oldenburg
29.11.2021 21:52:20
psy270 - Functional MRI Data Analysis (Complete module description)
Original version English Download as PDF
Module label Functional MRI Data Analysis
Module code psy270
Credit points 9.0 KP
Workload 270 h
Institute directory Department of Psychology
Applicability of the module
  • Master's Programme Biology (Master) > Background Modules
  • Master's Programme Neurocognitive Psychology (Master) > Mastermodule
  • Master's Programme Neuroscience (Master) > Background Modules
Responsible persons
Gießing, Carsten (Module responsibility)
Gießing, Carsten (Authorized examiners)
Prerequisites
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.


Competencies:
++ 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
Reader's advisory
  • 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.
Links
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.

PLEASE NOTE:
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.
Course type Comment SWS Frequency Workload of compulsory attendance
Lecture
2 SuSe 28
Exercises
2 SuSe 28
Seminar
1 SuSe 14
Total time of attendance for the module 70 h
Examination Time of examination 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 (use attendance sheet that will be handed out in the beginning of the term).