Universität Wien

200144 SE Seminar in Applied Psychology: Mind and Brain (2022W)

Data analyses for fMRi experiments

4.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work

Dieses Anwendungsseminar kann für alle Schwerpunkte absolviert werden!

Anwendungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs Modul A4 Freie Fächer ist nicht möglich.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The course is split in theoretical sessions and virtual sessions in which the students will be analyzing data in small groups.

  • Friday 14.10. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 21.10. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 28.10. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 04.11. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 11.11. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 18.11. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 25.11. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 02.12. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 09.12. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 16.12. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 13.01. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 20.01. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Friday 27.01. 15:00 - 16:30 Hörsaal F Psychologie, Liebiggasse 5 1. Stock

Information

Aims, contents and method of the course

The course will teach the basics of data analyses for fMRI studies with a focus on preprocessing (using FSL) as well as further analyses of resting state data. Although previous experience with fMRI data analyses is not required, fMRI preprocessing is advanced. Students should all have a fundamental understanding of data analyses and statistics and should enjoy trouble-shooting on the computer and analyzing data. The students are required to install an virtual FSL package on their own computer. They will learn about the basics of MRI and fMRI, about how important preprocessing and noise reduction is and responsible conduct of research. The course is split in theoretical sessions and practical virtual sessions in which the students will be analyzing data in small groups.

Assessment and permitted materials

Assignments for each practical session (40%) will be graded as well as a mini paper at the end of class (40%). Participation and group discussion in the theoretical sessions will be graded with 20%. Students fail class if they do not hand in all assignments.

Minimum requirements and assessment criteria

Interest in neuroimaging, data analyses, and coding. Students should all have a fundamental understanding of data analyses and statistics and should enjoy trouble-shooting on the computer and analyzing data. English is a requirement.

Examination topics

Reading list


Association in the course directory

Last modified: Tu 20.06.2023 11:47