During this four-day workshop, you will learn how to analyze functional MRI data using MATLAB and the software package SPM12. Most of the study time will be dedicated to hands-on sessions in which you will work with fMRI data.
Workshop topics include - Data preprocessing - Controlling the quality of MRI data - 1st and 2nd level statistics (including ANOVA, regression models) - Writing batch scripts in Matlab to automate data processing - Extraction/plotting of contrast estimates - Region-of-interest (ROI) analysis - Tools for anatomical localization - Data visualization tools - Psycho-Physiological Interaction (PPI) analysis - …
Note: The workshop is no introductory course to the basics of fMRI! It is expected that participants have prior knowledge on the principles of (functional) MRI, the nature of the BOLD signal (and neurovascular coupling), and standard preprocessing steps (realignment, slice timing, normalization, smoothing) and statistic modelling (general linear model) of fMRI data.
If you have not taken part in the “Functional MRI data analysis” course that is offered by Dr. Gießing in the summer term, but still would like to take part in the SPM workshop, please get in touch with me.
Enrollment to the course is preliminary for now; you will be notified upon final acceptance.
The course is part of admission "6.02.141_2 WS22/23".
The following rules apply for the admission:
A defined number of seats will be assigned to these courses.
The seats will be assigned in order of enrolment.
The enrolment is only allowed for participants of at least one of the following courses:
6.02.270 Functional MRI data analysis (SoSe2022)
After enrolment, participants will manually be selected.
Students can participate upon successful completion of a method module. If you have not taken the fMRI module from Carsten Giessing, you will have to do additional work alongside the course. In this case, please contact Sebastian Puschmann to sign you up.