This course offers a comprehensive introduction to functional Magnetic Resonance Imaging (fMRI), blending theoretical foundations with practical application. Students will explore the principles of fMRI signal generation, experimental design, and data preprocessing, along with core analysis techniques such as the General Linear Model (GLM). Through hands-on sessions using real neuroimaging datasets, students will gain the skills needed to analyze and interpret fMRI data independently.

Semester: WT 2025/26