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
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:
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 https://students.uu.nl/gratis-software. 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.
- 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
Literature/study material used:
-SPM12 starters Guide
-Reader fMRI preprocessing & analysis
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:
Having followed Basic fMRI analysis (BMB509117)