LI1002SF: Imaging in Neuroscience: with a Focus on Functional Magnetic Resonance Imaging 1.5 credits
This research course, given at Stockholm University Brain Imaging Centre (SUBIC), focuses on experimental design and analysis of fMRI data. It constitutes a subset of the 7,5 HEC course with the same name.
The course is aimed at PhD students with a background in a humanistic discipline where neuroimaging is used as an experimental tool, cognitive sciences, psychology, medicine, biomedicine, biology, medical imaging, computational biology or similar.
The course constitutes a subset of the 7,5 credits course with the same name.
Content
The course focuses on experimental design and analysis of fMRI data. We will briefly introduce the basis of the blood-oxygen-level dependent (BOLD) signal and how it is measured. The image processing steps, before statistical analysis, will be explained. The application of general linear model analysis to fMRI data will be explained, including random effects analysis and correction for multiple comparisons. We will discuss experimental designs for fMRI studies. The study of functional connectivity using fMRI data will be explained. We will also introduce machine learning techniques for analysis of fMRI data. Finally, structural measures of gray and white matter will be introduced as well as other techniques to measure functional and metabolic brain activity non-invasively.
Forms of instruction
The course occasions consist of lectures, hands-on sessions, group discussions and student presentations. Teaching and examination language is English.
Last updated: 2025-12-01
Source: Department of Linguistics,Department of Linguistics,Department of Linguistics