SPM8 Essentials is an introductory, one week, on-line course designed for new investigators having some familiarity with the fundamental principles of fMRI data acquisition and analysis. Requiring no previous experience using SPM, it provides a basic grounding in the conceptual and practical issues associated with using SPM12 for fMRI analysis. It will be available for investigators planning to take other Neurometrika courses who require some concentrated training in the essentials of SPM use.
The workshop will cover the basics of using SPM8 for preprocessing, statistical modeling and visualization of data associated with basic fMRI experimental designs. The primary emphasis will involve using the core SPM12 programs for these purposes.
As the course will include tutorials utilizing SPM, participants must have access to a computer with MATLAB and SPM12 already installed. Detailed setup instructions can be found here.
This course will be offered beginning in October 2013.
Understand the basic organization of the SPM GUI
Understand the organization of the SPM "toolbox"
Be able to construct simple batch processing scripts for preprocessing and statistical modeling
Understand the basic fMRI data preprocessing steps
Be able to convert MRI data from DICOM to NIFTI file format.
Be able to construct a preprocessing sequence including slice time correction, realignment, spatial normalization and spatial filtering
Understand the basic fMRI single subject experimental design types
Be able to implement statistical analysis procedures for the basic single subject fMRI designs
Introduction to SPM12
File format conversion: DICOM -> NIFTI
Preprocessing overview and background
Slice time correction
Basic First-level experimental design and analysis
First-level fMRI designs overview
First-level fMRI design examples
Basic Second-level experimental design and analysis
Batch processing introduction
- Installation and setup
- Introduction to SPM
- Interface overview
- File format conversion
- Artifact identification and mitigation
- First level model construction
- Second level model construction
- Batch processing
- Further reading