Schedule 2008

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Contents

Monday, July 14 Hacienda Room

08:30 Intro & overview (Poldrack & Cohen)
09:30 MRI acquisition: basics (Cohen) Slides Podcast
11:00 MRI acquisition: advanced (Cohen)
12:00 lunch
13:15 BOLD Physiology (Rick Buxton, UCSD) Slides
14:15 Neural basis of imaging signals (Rick Buxton, UCSD) Slides
15:30 Introduction to neuroanatomy (Bookheimer) Slides

Tuesday July 15 Hacienda Room

08:30 Fundamentals of image registration (Poldrack) Slides
09:30 fMRI preprocessing and quality control (Poldrack) Slides Podcast
11:00 Basic experimental design (Bookheimer) Slides Podcast - Part 1 Podcast - Part 2
12:00 lunch
13:15 Advanced experimental design (Poldrack) Slides
14:15 Lab: Anatomy/registration exercises
15:15 Lab: fMRI Preprocessing exercises
16:00 Reception at Faculty Center, california room

Wednesday July 16 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Mathematical Concepts for DTI and High-Angular Resolution Diffusion Imaging (Christopher Lenglet, Siemens) Slides Podcast
10:00 Trends in Diffusion MRI Tractography (Carl-Fredrik Westin, Harvard) Podcast
11:00 Tract-Based Spatial Statistics (Steve Smith, Oxford) Slides
12:00 lunch
13:15 Introduction to statistics I (Jeanette Mumford, UCLA) slides Podcast
14:15 Introduction to statistics II (Jeanette Mumford, UCLA)
15:30 Lab: Statistics by hand in MATLAB

Thursday, July 17 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Preprocessing for Voxel-Based Morphometry (John Ashburner, UCL) Slides
10:00 Morphological appearance manifolds for computational anatomy (Christos Davatzikos, Penn) Slides
11:00 Large-scale computing frameworks for developing image analysis tools (Steve Pieper, Harvard) Slides Podcast
12:00 lunch
13:15 First-level fMRI modeling (Jeanette Mumford, UCLA) Slides Podcast
14:15 Ethical issues in neuroimaging (Russ Poldrack, UCLA) Slides Podcast
15:30 Lab: First-level statistical analysis

Friday July 18 Hacienda Room

08:30 Group fMRI modeling (Jeanette Mumford, UCLA) Slides Podcast
09:30 Multiple testing problems (Jeanette Mumford, UCLA) Slides Podcast
11:00 Model diagnostics (Tom Nichols, GSK) Slides Podcast
12:00 lunch
13:15 Introduction to Bayesian statistics (Tom Nichols, GSK) Slides Podcast
14:15 Lab: Group modeling and Multiple testing
15:30 Lab: Assessing model fit
18:30 Dinner for NITP students and speakers at Napa Valley Grill

Saturday July 19

10:00-16:00 Work on data analysis projects

Monday July 21 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Modeling fMRI data with uncertain hemodynamic response or stimulus functions (Martin Lindquist, Columbia) Slides
10:00 Modeling temporal structure (Steve Smith, Oxford) Slides
11:00 fMRI Design Optimization (Tom Liu, UCSD) Slides
12:00 lunch
13:15 Signal change and power analysis (Jeanette Mumford, UCLA) Slides
14:15 Lab: working with datasets

Tuesday July 22 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Considerations in multi-site fMRI (Gary Glover, Stanford) Slides
10:00 Reproducibility in group modeling (JB Poline, Orsay)
11:00 Reproducibility across analysis methods (Steve Strother, Toronto) Slides
12:00 lunch
13:15 Nonparametric inference for fMRI (Tom Nichols, GSK) Slides
14:15 Reporting fMRI data (Russ Poldrack) Slides
15:30 Lab: working with datasets

Wednesday July 23 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Decomposition methods for explorative neuroimaging (Lars Kai Hansen, DTU) Slides
10:00 Group ICA of fMRI data (Vince Calhoun, New Mexico) Slides
11:00 Adaptive multvariate analysis (Ola Friman, MeVis) Slides
12:00 lunch
13:15 Introduction to connectivity modeling (Poldrack) Slides
14:15 Lab: Working with datasets

Thursday July 24 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Graphical causal models and inferences to mechanisms from brain imaging: Possibilities and limitations (Clark Glymour, CMU) Slides
10:00 Dynamic Causal Modeling (Marta Garrido, UCLA) Slides
11:00 The mathematics of cause and effect (Judea Pearl, UCLA) Slides
12:00 lunch
13:15 Imaging difficult populations (Susan Bookheimer, UCLA)
14:15 Photo shoot in front of Franz Hall
14:30 Lab: Multivariate modeling exercises

Friday July 25 Morning in California room with IPAM, Afternoon in Hacienda room

09:00 Introduction to machine learning for fMRI data (Francisco Pereira, Princeton)
10:00 Classification of fMRI-based cognitive states (Stephen LeConte, Emory)
11:00 Feature selection methods (Isabelle Guyon, Clopinet) Slides
12:00 lunch
13:15 Setting up an analysis lab (Mark Cohen) Slides
14:15 Informatics and fMRI (Jack Van Horn, UCLA)
15:30 Presentation of results from data analysis projects
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