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
Subtitle
Course number 6.02.141_2
Semester WiSe24/25
Current number of participants 10
maximum number of participants 20
Home institute Department of Psychology
participating institutes Department of Neurosciences
Courses type Seminar in category Teaching
First date Friday, 08.11.2024 09:00 - 17:00, Room: A06 5-531
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 5-531
Friday: 09:00 - 17:00, weekly (4x)

Comment/Description

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 WS24/25".
The following rules apply for the admission:
  • The enrolment is only allowed for participants of at least one of the following courses:
    • 6.02.270 Functional MRI data analysis (SoSe2024)
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.