Functional & Anatomic Data Analysis: Principles & Practicalities
ORGANIZERS: Peter A. Bandettini, Ph.D. & Carlo Pierpaoli, M.D., Ph.D.
SKILL LEVEL: Intermediate to Advanced
Saturday, 7 May 2011

This one-day course will cover both functional and anatomic data analysis and will be presented by physicists, statisticians, and clinicians. The overall goal is to provide a perspective and some practical guidelines for some cutting-edge research and clinical functional and anatomic analysis methods. For functional data analysis, lectures will be given on pre- and post-processing approaches as well as on more advanced methods and issues, such as univariate vs. multivariate approaches, model-based vs. exploratory approaches and clinical fMRI analyses. In the anatomic data analysis session topics will range from comparing cortical and subcortical structures in populations, to analysis methods for diffusion tensor imaging. The issue of anatomical change assessment for large changes with disease, as well as subtle changes with learning and plasticity, will also be discussed. Lastly, a practical perspective will be provided on what types of analyses are typically performed clinically.
Upon completion of this course participants should be able to:
« List the essential pre and post processing steps in functional MRI;
« Describe the rationale behind each of the pre and post processing steps;
« Select a functional MRI processing strategy that is optimal for their study;
« Contrast univariate vs. multivariate approaches;
« Contrast model-based vs. exploratory approaches;
« Describe the methods and challenges associated with comparing populations;
« List the advantages and limitations of diffusion tensor MRI;
« Identify sources of artifact in assessing large and small anatomic changes; and
« Describe what anatomic analyses are robustly used in the clinical realm.

Click on to view the abstract pdf and click on to view the video presentation.
  Functional Data Analysis  
08:00 Preprocessing: What's Done & Why   Jesper Andersson, Ph.D.
09:00 Post processing: What are the Current Methods   Stephen C. Strother, Ph.D.
10:00 Break  
  10:00 - 10:15 Meet the Teachers  
10:30 Univariate vs. Multivariate Approaches   Xiaoping P. Hu, Ph.D.
11:00 Model Based vs. Exploratory   James J. Pekar, Ph.D.
11:30 fMRI Analysis in the Clinical Realm   Stefan Sunaert, M.D., Ph.D.
12:00 Break  
  12:00 - 12:15 Meet the Teachers  
  Anatomic Data Analysis  
13:30 Comparing Populations (Subcortical Structures)   Michael I. Miller, Ph.D.
14:00 Comparing Populations 2 (Cortical Structures)   Pierre Fillard, Ph.D.
14:30 Diffusion Tensor MRI - Beyond Tractography   Gordon L. Kindlmann, Ph.D.
15:00 Break  
  15:00 - 15:15 Meet the Teachers  
15:30 Measuring the Big Changes (Development, Alzheimers…)   - permission withheld David H. Salat, Ph.D.
16:00 Measuring Small Changes with Learning & Plasticity   Jason P. Lerch, Ph.D.
16:30 Image Analysis in the Clinical Realm   John A. Butman, M.D., Ph.D.
17:00 Adjournment  
  17:00-17:15 Meet the Teachers