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26.09.2021 08:56:27
psy275 - Essentials of fMRI Data Analysis with SPM and FSL (Course overview)
Department of Psychology 6 KP
Module components Semester courses Wintersemester 2017/2018 Examination
Seminar
  • No access 6.02.275_1S - Essentials of fMRI Data Analysis with SPM and FSL Show lecturers
    • Dipl.-Psych. Riklef Weerda
    • Priv.-Doz. Dr. Peter Sörös

    Monday: 16:00 - 18:00, weekly (from 16/10/17), Location: A07 0-031
    Dates on Thursday. 12.10.17 11:00 - 12:00, Monday. 29.01.18 16:00 - 18:00, Monday. 05.02.18 16:30 - 18:30, Monday. 09.07.18 14:00 - 16:00, Location: A07 0-031, A07 0-030 (Hörsaal G), ((W03 1-152))

    This seminar 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.

Exercises
  • No access 6.02.275_1E - Essentials of fMRI data analysis with SPM and FSL Show lecturers
    • Dipl.-Psych. Riklef Weerda
    • Priv.-Doz. Dr. Peter Sörös

    Wednesday: 16:00 - 18:00, weekly (from 18/10/17)
    Friday: 14:00 - 16:00, weekly (from 20/10/17)
    Friday: 16:00 - 18:00, weekly (from 20/10/17)
    Dates on Thursday. 12.10.17 11:00 - 12:00

    This practical exercise course provides a hands-on introduction to FSL and SPM - two commonly used open source software packages for the analysis of fMRI data.

Notes for the module
Prerequisites
Enrolment in Master’s programme Neurocognitive Psychology, 3rd semester or higher.
Reference text
PLEASE NOTE:
We strongly recommend to take either psy170, psy270, psy275, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects and Master's theses!
Capacity / number of participants 20
Time of examination
end of winter term
Module examination
written exam
Skills to be acquired in this module
+ 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

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.