200144 SE Seminar in Applied Psychology: Mind and Brain (2023W)
fMRi preprocessing
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 28.08.2023 09:00 to Mo 25.09.2023 09:00
- Deregistration possible until Tu 03.10.2023 09:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Thursday
05.10.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
12.10.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
19.10.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
09.11.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
16.11.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
23.11.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
30.11.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
07.12.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
14.12.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
11.01.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
18.01.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
Thursday
25.01.
15:00 - 16:30
Hörsaal H Psychologie KG Liebiggasse 5
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 (45%) will be graded as well as a mini paper at the end of class (45%). Participation and group discussion in the theoretical sessions will be graded with 10%. 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: Fr 13.10.2023 16:07