Educational Objectives

- Understand the basic organization of the SPM GUI
- Understand the organization of the SPM "toolbox"
- Be able to construct batch processing scripts for preprocessing and statistical modeling
- Understand the basic fMRI data preprocessing steps
- Construct a preprocessing script including slice time correction, realignment, and spatial filtering steps
- Understand the origins of the artifacts most commonly encountered in fMRI datasets
- Be able to explore an fMRI dataset for artifacts and effect repairs as needed
- Understand the basic fMRI single subject experimental design types
- Be able to implement statistical analysis procedures for the basic single subject fMRI designs
- Understand the basic fMRI single group experimental design types
- Be able to implement statistical analysis procedures for the basic single group fMRI designs
- Understand the process of incorporation of covariates in fMRI experimental designs
- Be able to construct and estimate statistical models involving covariates
- Understand the techniques for exploring functional connectivity
- Be able to assess functional connectivity using a "seed-voxel" approach
- Be able to utilize the RIC Talairach Daemon for region labeling
- Be able to utilize the SPM Anatomy toolbox for region labeling
- Be able to utilize the FreeSurfer for region labeling
- Be able to use FreeSurfer to visualize statistical maps on the cortical surface
- Be able to use MRIcron and xjview for data visualization, including volume rendering