ISMRM 23rd Annual Meeting & Exhibition 30 May - 05 June 2015 Toronto, Ontario, Canada

Brain Networks
SKILL LEVEL: Intermediate
ORGANIZERS: James J. Pekar, Ph.D. & Jonathan R. Polimeni, Ph.D.
Wednesday, 03 June 2015
The emerging field of brain connectomics has demonstrated the power of network analysis to understand brain structure and function in disease as well as in health. This course will describe the methodology of network analysis of neuroimaging data, from network construction and analysis to structure-function comparisons and group analyses, and provide examples of the power of this framework in both basic scientific and clinical applications.
This course is intended for clinicians and basic researchers interested in utilizing network analyses of brain connectivity. This course assumes basic knowledge of functional connectivity and diffusion tractography, and a working knowledge of neuroscience, MR data acquisition, and basic analysis methods.

Upon completion of this course, participants should be able to:

  • Differentiate between several characteristics of networks and apply graph analysis techniques to describe network structure; and
  • Discuss how well networks derived from functional data compares to networks derived from anatomical data.


Moderators: Catherine E. Chang, Ph.D. & James J. Pekar, Ph.D.

07:00 Structure-Function Relationships in Brain Networks
Patric Hagmann, M.D., Ph.D.
07:25 Group & Population-level Analysis: Big Data
Bertrand Thirion, Ph.D.
07:50   Adjournment