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University of Oldenburg
26.09.2021 08:39:53
neu305 - Essentials of fMRI Data Analysis with SPM and FSL (Course overview)
Department of Neurosciences 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
Capacity / number of participants 40
Time of examination
December
Module examination
witten exam (multiple choice) In addition, mandatory but ungraded: continuous active participation
Skills to be acquired in this module

+ Neurosci. knowlg.
++ Expt. Methods
+ Independent research
+ Scient. Literature
+ Social skills
+ Interdiscipl. knowlg.
++ Maths/Stats/Progr.
+ Data present./disc.
+ Scientific English
+ Ethics


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.