psy270 Functional MRI Data Analysis (Complete module description)

psy270 Functional MRI Data Analysis (Complete module description)

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Module title Functional MRI Data Analysis
Module code psy270
Credit points 9.0 KP
Responsible institute Department für Psychologie
Responsible persons
Module responsibility:
Carsten Gießing
Authorised to examine:
Carsten Gießing
Prerequisites

Enrolment in Master's programme Neurocognitive Psychology, Neuroscience, or Biology.
Language of instruction English
Learning outcomes/competencies

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
Recommended reading
  • 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.
Required assesment
Method of assesment

Oral or written examination
Further required assesment

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 within one semester (will be checked in StudIP).
Exam dates

middle of summer term
Duration (semesters) 1 Semester
Module frequency The module will be offered every summer term.
Workload
Total workload Contact hours
270 h

63 h
Course type
Type SWS Module frequency Contact hours
Seminar 9 SoSe 63 h
Further information

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!
Applicability of the module
  • Master Biology > Background Modules
  • Master Neurocognitive Psychology > Schwerpunktbereich
  • Master Neuroscience > Background Modules