The rapid growth in neuroimaging technology, methodology and interpretation has transformed neuroscience research and revolutionized progress in clinical applications. Neuroimaging modalities such as functional magnetic resonance imaging (fMRI) are used by cognitive neuroscience researchers to measure and map brain activity. The popularity of fMRI has grown rapidly because the modality is non-invasive and characterized by a high spatial and temporal resolution. Furthermore, the fMRI signal is also highly reproducible and consistent. The ‘Introduction to fMRI’ program is designed for fMRI researchers of different skill levels. This program provides participants with a better understanding of the theory and data analysis associated with fMRI; it also exposes participants to several types of software useful for analyzing fMRI data. The program covers experimental design, data acquisition, data processing and data analysis using a general linear model. In this program, participants will have hands-on exposure to Statistical Parametric Mapping (SPM) software. In addition, participants will be exposed to other software such as FSL and Python pipelines.