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NITP 2008 Schedule

Monday, July 14

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

Tuesday July 15

08:30 Preprocessing: Image registration and motion correction (Poldrack)
09:30 Preprocessing: EPI unwarping, intra/intersubject registration (Poldrack)
11:00 Basic experimental design (Bookheimer)
12:00 lunch
13:15 Advanced experimental design (Poldrack)
14:15 Lab: Anatomy/registration exercises
15:30 Lab: fMRI Preprocessing exercises

 

Wednesday July 16 (AM joint with IPAM MBI meeting)

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

Thursday, July 17 (AM joint with IPAM MBI meeting)

09:00 Voxel-Based Morphometry and Statistical Parametric Mapping (SPM) (John Ashburner, UCL)
10:00 Registration and Segmentation for Large-Scale Population Studies (Louis Collins, McGill)
11:00 Tensor-Based Morphometry with HAMMER and RAVENS (Christos Davatzikos, U Penn)
12:00 lunch
13:15 First-level fMRI modeling (Russ Poldrack & Jeanette Mumford, UCLA)
14:15 First-level modeling, continued (Russ Poldrack & Jeanette Mumford, UCLA)
15:30 Lab: First-level statistical analysis

Friday July 18

08:30 Group fMRI modeling (Jeanette Mumford, UCLA)
09:30 Multiple testing problems (Jeanette Mumford, UCLA)
11:00 Model diagnostics (Tom Nichols, GSK)
12:00 lunch
13:15 Introduction to Bayesian statistics (Tom Nichols, GSK)
14:15 Lab: Group modeling and Multiple testing
15:30 Lab: Assessing model fit

Saturday July 19

all day Work on data analysis projects

Monday July 21 (AM joint with IPAM MBI meeting)

08:30 Modeling temporal structure (Steve Smith, Oxford)
09:30 HRF modeling (Martin Lindquist, Columbia)
11:00 fMRI Design Optimization (Tom Liu, UCSD)
12:00 lunch
13:15 Signal change and power analysis (Jeanette Mumford, UCLA)
14:15 Lab: working with datasets, and power analysis

Tuesday July 22 (AM joint with IPAM MBI meeting)

08:30 (Im?)practicalities of multi-site fMRI (Gary Glover, Stanford)
09:30 Reproducibility in group modeling (JB Poline, Orsay)
11:00 Reproducibility across analysis methods (Steve Strother, Toronto)
12:00 lunch
13:15 Nonparametric inference for fMRI (Tom Nichols, GSK)
14:15 Reporting fMRI data (Russ Poldrack)
15:30 Lab: working with datasets

Wednesday July 23 (AM joint with IPAM MBI meeting)

08:30 PCA/ICA (Lars Kai Hansen, DTU)
09:30 Group ICA (Vince Calhoun, New Mexico)
11:00 Adaptive multvariate analysis (Ola Friman, Harvard)
12:00 lunch
13:15 Introduction to connectivity modeling (TBD)
14:15 Lab: ICA exercises

Thursday July 24 (AM joint with IPAM MBI meeting)

08:30 Causal models (Clark Glymour, Carnegie Mellon)
09:30 Dynamic Causal Modeling (Marta Garrido, UCLA)
11:00 Network structure analyses (Ed Bullmore, Cambridge - tentative)
12:00 lunch
13:15 Imaging difficult populations (Susan Bookheimer, UCLA)
14:15 Lab: working with datasets

Friday July 25 (AM joint with IPAM MBI meeting)

08:30 intro to machine learning methods (Francisco Pereira, Princeton)
09:30 SVM (Stephen LeConte, Emory)
11:00 Feature selection methods (Isabelle Guyon, Berkeley)
12:00 lunch
13:15 Setting up an imaging lab (Russ Poldrack)
14:15 Informatics and fMRI (Jack Van Horn, UCLA)
15:30 Presentation of results from data analysis projects
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