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Course module: BMB509218
Advanced fMRI Analysis
Course info
Course codeBMB509218
ECTS Credits3
Category / LevelM (Master)
Course typeCourse
Language of instructionDutch
Offered byFaculty of Medicine; Graduate School of Life Sciences; Neuroscience and Cognition;
Contact persondr. M.A.H. Raemaekers
Contactperson for the course
dr. M.A.H. Raemaekers
Other courses by this lecturer
Teaching period
MASTER  (20/08/2018 to 17/08/2019)
Teaching period in which the course begins
Time slot-: Not in use
Study mode
RemarkDates 11 Mar -14 Apr 2019. Apply via the GSLS study guide.
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesYes
Waiting listNo
At the end of the course the student has:
Familiarity with the basic fMRI processing and analysis techniques at the theoretical and practical level.
Period (from – till): 11 March 2019 - 14 April 2019

Course coordinator: Dr. Mathijs Raemaekers
Brain Center Rudolf Magnus
University Medical Center Utrecht

Dora Hermes
Mathijs Raemaekers

Course description
Functional Magnetic Resonance Imaging (fMRI) is one of the major methods for measuring neural activity in humans, and techniques for processing and analysing the data are under constant development. Since the introduction of fMRI and its basic task based analysis, many additional processing and analysis techniques have been developed that shed a more elaborate light on the functioning of the human brain. Understanding and the ability to apply these techniques is a necessary requirement for current researchers in the fMRI research field. The course will provide students with hands-on experience on several modern techniques using various software packages. In addition, we will provide tools that can help students to further expand their knowledge and abilities, and also to evaluate the scientific merit of novel approaches regarding e.g. validity and replicability.
The course includes:
  • Data driven analysis of fMRI data using Independent Component Analysis (ICA)
  • Making and transforming 3D brain models e.g. for flatmapping and performing surface based analysis
  • Classifying brain states using MultiVoxel Pattern Analysis (MVPA)
  • Seed based analyses of brain connectivity
  • Analysing Parametric modulations
There is a strong focus on practical application, where a theoretical background is immediately followed by implementation during combined lecture/workgroup sessions. In addition, students get home assignments to analyse data individually. The student must have a laptop with an installation of MATLAB 2007a or later. MATLAB with a student’s license can be obtained from All other software will be provided during the course. Following the Basic fMRI Analysis (BMB509117) course is a prerequisite for following the Advanced fMRI analysis course.
Assessment Description Weighing
DEELNAME Active participation 20
OPDRACHT Assignment 80
Literature/study material used:
-SPM12 starters Guide
-SPM12 manual
-GIFT Manual
-CARET Manual
-Reader fMRI preprocessing & analysis
-Lecture slides
Course material will be provided as PDF’s before and during the course.

Apply via the study guide.

Mandatory for students in Master’s programme:

Optional for students in other GSLS Master’s programme:

Prerequisite knowledge:
Having followed Basic fMRI analysis (BMB509117)
Entry requirements
Required materials
Instructional formats
Computer practical



Final result
Test weight100
Minimum grade5.5

Kies de Nederlandse taal