Human Neuroimaging
Full course description
This course aims at introducing basic knowledge and principles of functional brain imaging techniques, with a special emphasis on their application in addressing clinically oriented research questions. The workshop comprises three sections.
The first section is a practical introduction into MRI/EEG image processing and statistical analysis, centering on functional MRI and ERPs. During the meeting you will become familiar with the following basic aspects of image analyses: the MR image and its preprocessing; First level statistical analysis (creating colored blobs); Second level analysis, with special emphasis on between subject designs.
The second part of the workshop consists of more theoretical introductions to novel clinically relevant imaging techniques. In three education group meetings you will study at a deeper level some imaging topics that are thought basic and very important for the ability to interpret patient-oriented research. General topics that may be discussed include brain connectivity (structural, functional and effective connectivity), structural imaging techniques (voxel-based morphometry, cortical volume and thickness …), and image analysis techniques (head motion correction, multiple comparisons correction).
A third section comprises a group assignment. In a small group you get the opportunity to elaborate in more depth an imaging topic that has your interest. Each group will prepare a presentation in which they share their insight and understanding of this topic with the rest of the students.
The final assessment for this course is pass or fail - and not a numerical grade between 0,0 and 10,0.
Course objectives
Students will be able to understand:
- functional brain imaging techniques and principles;
- data analysis;
- between group experimental designs and its pitfalls;
- available imaging techniques for clinically oriented research.
Prerequisites
Basic knowledge of brain anatomy, experimental design and statistics.