Universität Wien

200150 SE Theorie und Empirie wissenschaftlichen Arbeitens (Geist und Gehirn) 2 (2024W)

Neuroimaging

8.00 ECTS (4.00 SWS), SPL 20 - Psychologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Mi 20.11. 09:45-11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Die endgültige Platzvergabe erfolgt beim ersten Treffen. Studierende, die schon ein Thema für die Master- oder Doktorarbeit mit Fokus (f)MRI vereinbart haben, werden gebeten beim ersten Treffen den Titel des Themas und den Namen der betreuenden Person bekanntzugeben und werden dann bei der Platzvergabe bevorzugt.

Wednesday, 02.10., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Wednesday, 09.10., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 10.10., 09:45 - 11:15, Practical, Online
Wednesday, 16.10., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 17.10., 09:45 - 11:15, Practical, Online
Wednesday, 23.10., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 24.10., 09:45 - 11:15, Practical, Online
Wednesday, 30.10., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 31.10., 09:45 - 11:15, Practical, Online
Wednesday, 06.11., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 07.11., 09:45 - 11:15, Practical, Online
Wednesday, 13.11., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 14.11., 09:45 - 11:15, Practical, Online
Wednesday, 20.11., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 21.11., 09:45 - 11:15, Practical, Online
Wednesday, 27.11., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 28.11., 09:45 - 11:15, Practical, Online
Wednesday, 04.12., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 05.12., 09:45 - 11:15, Practical, Online
Wednesday, 11.12., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 12.12., 09:45 - 11:15, Practical, Online
Christmas break
Thursday, 09.01., 09:45 - 11:15, Practical, Online
Wednesday, 15.01., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 16.01., 09:45 - 11:15, Practical, Online
Wednesday, 22.01., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock
Thursday, 23.01., 09:45 - 11:15, Practical, Online
Wednesday, 29.01., 09:45 - 11:15, Lecture, Hörsaal F Psychologie, Liebiggasse 5 1. Stock

Bitte ignorieren Sie alle untenstehenden Termine.

  • Mittwoch 02.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 09.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 16.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 23.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 30.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 06.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 13.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 27.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 04.12. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 11.12. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 08.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 15.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 22.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Mittwoch 29.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Aims: After this course, students should (a) understand the theoretical basics of fMRI-based neuroimaging and data analysis, (b) be able to critically evaluate neuroimaging studies, (c) have the practical skills to perform basic fMRI data analysis, and (d) have a comprehensive overview of the available resources that would allow them to delve deeper into the topic as part of a potential Master/PhD thesis.

Contents: The course teaches the theoretical background and practical steps necessary to perform (and interpret the results of) functional magnetic resonance imaging (fMRI) data of the human brain. (1) The weekly lectures provide the necessary content to understand fMRI data acquisition, analysis, and interpretation and will give an overview of the current trends in the field. Students are required to actively participate in the oral discussions and to hold a mini-Journal Club (they can choose from a list of papers) (2) The weekly practical sessions will be held online. Students will be asked to analyze openly accessible fMRI data sets using the Nipype framework (https://nipype.readthedocs.io/en/latest/), involving both individual assignments and teamwork in smaller groups. Students are required to actively participate and to orally present the project outline/status/outcomes.

Methods: The course consists of oral presentations given by the lecturer and the students; students are asked to actively participate in class and during the online practical sessions; work on individual assignments and in smaller groups; excursion to the fMRI scanner of the Faculty of Psychology.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final grade considers the active, oral participation during the lectures (20%), the oral presentation (mini-Journal Club, 30%), the completion of the data camp tutorial (5%), and the individual (15%) and group assignments (30%). A maximum of 2 lectures and 2 practicals can be missed.

Grade “1”: from 90%
Grade “2”: from 80%
Grade “3”: from 70%
Grade “4”: from 60%
Grade “5”: below 60%

Mindestanforderungen und Beurteilungsmaßstab

Basic knowledge of cognitive neuroscience and statistics. Knowledge of Python or other programming languages is a plus, but not a necessity. Students will be asked to complete a Data Camp introduction to Python at the beginning of the semester.

Prüfungsstoff

Will be discussed in the course.

Literatur

Huettel, S.A., Song, A.W., & McCarthy, G. (2014) Functional Magnetic Resonance Imaging (3nd Edition). Sunderland, MA: Sinauer Associates.

A full list of the required reading literature can be found on the course Moodle.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 24.09.2024 09:46