SPM8 for Basic and Clinical Investigators - Calgary
SPM8 for Basic and Clinical Investigators is an intermediate-level, 5-day workshop designed for investigators having familiarity with the fundamental principles of fMRI measurement and design, with at least six months experience in functional neuroimaging data acquisition and analysis.
The strongly interactive workshop will focus on using SPM8 and its extensions for preprocessing, statistical modeling and visualization of data associated with a range of basic and clinical fMRI experimental designs. While the primary emphasis will involve using the core SPM8 programs for these purposes, there will also be extensive discussion of a variety of software tools that extend the power of SPM8. Some of these tools facilitate fMRI quality assurance through artifact detection and mitigation at various analysis stages. Other tools support a variety of data visualization methods, including MRIcron, xjView, FSLview, and FreeSurfer.
As the presentations will include demonstrations and tutorials utilizing SPM8, participants are expected to bring a laptop with MATLAB, SPM8 and MRIcron already installed. Detailed setup instructions can be found here.
Registration information for this program may be found here.
You can arrange payment using PAYPAL here.
The course is sponsored by the Department of Psychology at the University of Calgary and will be held at the University of Calgary in Calgary, AB Canada from October 1-5, 2012. Lectures will be held in the Taylor Family Digital Library (the Main Library).
The Visualization studio room number is TFDL 466B. Take the main elevator to the fourth floor, and it is to the left when you get off the elevator
The fee for the program is $1500. Reduced rates of $1250 for post-doctoral fellows and $1000 for undergraduate, graduate or medical students are available. A 20% discount is available to all University of Calgary investigators.
Accommodations: There are rooms available at the nearby Hotel Alma, which is on campus.
Questions about the course should be directed to spmbasics@neurometrika.org
Lectures will be given by Tom Zeffiro.
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
- Be able to construct a preprocessing sequence including slice time correction, realignment, and spatial filtering
- Understand the origins of the artifacts most commonly encountered in fMRI datasets
- Be able to utilize 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 basic fMRI multiple group experimental design types
- Be able to implement statistical analysis procedures for the basic multiple group fMRI designs
- Understand the process of incorporation of covariates in fMRI experimental designs
- Be able to construct and estimate statistical models involving covariates
- 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 export SPM statistical maps to FreeSurfer to visualize results on the cortical surface
- Be able to use MRIcron for visualization, including volume rendering
- Be able to use xjView for visualization and labeling
Schedule
Day 1
9:00AM-9:30PM Course introduction
9:30AM-12:00PM SPM introduction
- SPM history
- SPM architecture
- The MATLAB environment
- SPM toolboxes
- SPM GUI
- Batch editor
- SPM Visualization
12:00PM-1:00PM LUNCH
1:00PM-3:00PM Single subject analysis
- Preprocessing
- Model specification
- Model estimation
- Inference
- Structure/function visualization
3:00-4:00 Laboratory and homework assignment: Single subject analysis
Day 2
9:00AM-9:30PM Homework review
9:30AM-12:00PM Preprocessing
- Preprocessing overview and background
- Realignment
- Unwarping
- Slice time correction
12:00PM-1:00PM LUNCH
1:00PM-3:00PM Preprocessing
- Spatial normalization
- Spatial filtering
- Introduction to EPI outlier detection and repair
- Outlier detection using ART
- Sources of artifacts in EPI
3:00-4:00 Laboratory and homework assignment: Preprocessing
Day 3
9:00AM-9:30PM Homework review
9:30AM-12:00PM First-level design
- Experimental task design in fMRI
- First-level design theory
- First-level design demonstrations
- Covariates in first-level designs
12:00PM-1:00PM LUNCH
1:00PM-3:00PM First-level estimation and inference
- First-level estimation
- First-level design demonstrations
- First-level contrast specification
- First-level inference - critical thresholds
3:00PM-4:00PM Laboratory and homework assignment: First-level models
Day 4
9:00AM-9:30PM Homework review
9:30AM-12:00PM Single group second-level design and estimation
- Statistical modeling: summary statistics
- Single group second-level design theory
- Single group second-level design demonstration
- Second-level contrast specification
12:00PM-1:00PM LUNCH
1:00PM-2:00PM Outlier detection at the group level
2:00PM-3:00PM ROI processing
3:00PM-4:00PM Laboratory: Second-level models
Day 5
9:00AM-9:30PM Homework review
9:30AM-12:00PM Multiple group second-level design and estimation
- Multiple group second-level design theory
- Multiple group second-level design demonstration
- Covariates in second-level design
- Second-level design inference
12:00PM-1:00PM LUNCH
1:00PM-2:00PM Visualization, anatomical labeling and structural analysis
- Visualization with SPM8, FreeSurfer, MRIcron and xjview
- Anatomical labeling with the Talairach Daemon, xjView and the SPM Anatomy Toolbox
2:00PM-3:00PM Meta-analysis in neuroimaging
3:00PM-4:00PM Course review and final questions
LECTURE SLIDES
Optimizing fMRI Acquisition: Spatial
Optimizing fMRI Acquisition: Temporal
Topics
- SPM8 installation and setup
- MATLAB 7 Getting Started Guide
- MATLAB Tutorials
- Introduction to SPM8
- SPM8 new features
- SPM8 Interface overview
- File format conversion
- Preprocessing
- Optimizing fMRI acquisition
- Artifact identification and mitigation
- The general linear model
- First level model specification
- Second level model specification
- Conjunction analysis
- Anatomical labeling
- Batch processing
- Visualization
- Morphometry
- Extensions
- Further reading
