The course is open to students who passed the module 'fMRI Data Analysis' or students who passed another method module and are working with fMRI data (e.g., in their practical project, master thesis).
In the latter case, additional self-studying before/in parallel to the course may be necessary.
The goal of this four-day workshop is to provide students with in-depth practical knowledge on how to analyze fMRI data. It builds up on the module “Functional MRI data analysis” which is offered in the summer term. It is therefore expected that workshop participants have prior knowledge on the principles of fMRI and some experience working with fMRI data, optimally using SPM12.
Most of the study time will be dedicated to hands-on sessions in which you will work with fMRI data. Workshop topics include:
Organizing your fMRI dataset according to BIDS
Data preprocessing (SPM12 and fMRIprep)
Controlling the quality of MRI data (using MRIQC)
1st and 2nd level statistics in SPM 12 (including ANOVA, regression models)
Region-of-interest (ROI) analysis
Extraction/plotting of contrast estimates
Tools for anatomical localization
Data visualization tools
Automating data processing using batch scripts
NOTE: Participation in the workshop is generally restricted to students that have completed the “Functional MRI data analysis” course. However, students that have completed one of the other methods modules and work with functional MRI data (e.g., in their practical project or master’s thesis), can also be enrolled. In this case, additional work may be necessary in preparation or alongside the course. Please get in touch with Sebastian Puschmann to discuss the details.
Admission settings
The course is part of admission "6.02.141_2 WS23/24".
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:
