psy270 - Functional MRI Data Analysis (Complete module description)

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 (authorised to take exams)
Prerequisites	Enrolment in Master's programme Neurocognitive Psychology, Neuroscience, or Biology.
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
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.
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, 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!
Type of module	Wahlpflicht / Elective
Module level	MM (Mastermodul / Master module)
Teaching/Learning method	blocked course with lecture, interactive seminar and exercise parts
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	middle 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 within one semester (will be checked in StudIP).

Type of course	Seminar
SWS	1
Frequency	SuSe
Workload attendance time	14 h