Seminar: 6.02.141_2 Hands-on fMRI data analysis with SPM12 - Details

Seminar: 6.02.141_2 Hands-on fMRI data analysis with SPM12 - Details

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General information

Course name Seminar: 6.02.141_2 Hands-on fMRI data analysis with SPM12
Course number 6.02.141_2
Semester WiSe23/24
Current number of participants 15
expected number of participants 20
Home institute Department of Psychology
participating institutes Department of Neurosciences
Courses type Seminar in category Teaching
First date Friday, 17.11.2023 09:00 - 17:00, Room: A06 0-001
Type/Form Praxisseminar
Pre-requisites 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.
Lehrsprache englisch
ECTS points 3

Rooms and times

A06 0-001
Friday: 09:00 - 17:00, weekly (3x)
A01 0-005
Friday: 09:00 - 17:00, weekly (1x)


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 "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • Admission locked.