SPM8 for Basic and Clinical Investigators - Chicago MAR 26-30, 2012
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.
The workshop next will be held MAR 26-30, 2012 in Room 107 of the Kellog Conference Center in Wieboldt Hall at 340 East Superior Street at Northwestern University, Chicago, IL.
Directions from the Red LIne are here.
Nearby places to eat can be found here.
Register for the course here.
Accomodations:
Questions about course arrangements or content should be directed to admin@neurometrika.org
The course instructors are Thomas Zeffiro and Darren Gitelman.
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 Northwestern University investigators.
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-4:30PM Single subject analysis
- Preprocessing
- Model specification
- Model estimation
- Inference
- Structure/function visualization
4:30-5:00 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-3:30PM Preprocessing
- Spatial normalization
- Spatial filtering
- Introduction to EPI outlier detection and repair
- Outlier detection using ART
3:30PM-4:30PM Statistics review: t-tests, regression, ANOVA, ANCOVA and the general linear model
4:30-5:00 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-4:30PM First-level estimation and inference
- First-level estimation
- First-level design demonstrations
- First-level contrast specification
- First-level inference - critical thresholds
4:30PM-5:00PM 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-4:30PM 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
4:30PM-5:00PM Homework assignment: Second-level models
Day 5
9:00AM-9:30PM Homework review
9:30PM-12:00PM Artifact prevention, detection and mitigation
- Sources of artifacts in EPI
- Detection and repair of EPI artifacts
- ART demonstration
12:00PM-1:00PM LUNCH
1:30PM-3:30PM Visualization, anatomical labeling and structural analysis
- ROI analysis
- Visualization with SPM8, FreeSurfer, MRIcron and xjview
- Anatomical labeling with the Talairach Daemon, xjView and the SPM Anatomy Toolbox
3:30-4:30PM Reporting an fMRI study
LECTURE SLIDES
Optimizing fMRI Acquisition: Spatial
Optimizing fMRI Acquisition: Temporal
Reporting fMRI Results
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
