psy276 - Essentials of fMRI Data Analysis with SPM and FSL (Complete module description)

Module label	Essentials of fMRI Data Analysis with SPM and FSL
Modulkürzel	psy276
Credit points	9.0 KP
Workload	270 h
Institute directory	Department of Psychology
Verwendbarkeit des Moduls	Master's Programme Neurocognitive Psychology (Master) > Mastermodule
Zuständige Personen	Sörös, Peter (module responsibility)
Prerequisites	Enrolment in Master’s programme Neurocognitive Psychology, 3rd semester or higher.
Skills to be acquired in this module	Goals of this module: This module offers a concise introduction to the basic principles of functional magnetic resonance imaging (fMRI). Students will gain essential knowledge about experimental design, data collection and analysis. Special emphasis will be laid on the statistical background of fMRI data analysis and a hands-on introduction to SPM and FSL, two widely-used and free software packages for fMRI data analysis and results visualisation. Competencies: + Neuropsychological / neurophysiological knowledge + interdisciplinary knowledge & thinking ++ experimental methods ++ statistics & scientific programming + data presentation & discussion + independent research + scientific literature + ethics / good scientific practice / professional behaviour + critical & analytical thinking + group work
Module contents	Methodological basics of functional magnetic resonance imaging (fMRI) Basic principles of fMRI experimental design and data collection Statistical background of fMRI data analysis Hands-on training in fMRI data analysis and results visualisation with SPM and FSL
Literaturempfehlungen	Huettel, S.A., Song, A.W., McCarthy, G. (3rd ed., 2014). Functional Magnetic Resonance Imaging. Sunderland, MA: Sinauer. Friston, K.J., Ashburner, J.T., Kiebel, S. (Ed., 2006). Statistical Parametric Mapping: The Analysis of Functional Brain Images. Amsterdam etc.: Elsevier, Academic Press.
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	The module will be offered in the winter term, blocked in the first half (seven weeks).
Module capacity	unlimited
Reference text	PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy276, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects and Master's theses! You can take either psy270 or psy276 due to overlapping content.
Type of module	Wahlpflicht / Elective
Module level	MM (Mastermodul / Master module)
Teaching/Learning method	Part 1: 1 seminar (2 SWS) Part 2: 1 supervised exercise (3 SWS)

Lehrveranstaltungsform	SWS	Frequency	Workload of compulsory attendance
Seminar	2	WiSe	28
Exercises	3	WiSe	42
Präsenzzeit Modul insgesamt			70 h

Examination	Prüfungszeiten	Type of examination
Final exam of module	end of winter term	written exam Required active participation for gaining credits: 1 presentation 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).