"How To Be a Skeptical Neuroimager: Functional Connectivity & Causal Modeling"
Half-Day Educational Course at the 2017 Organization for Human Brain Mapping meeeting, Monday 25 June.
Organized by:
Victor Solo, UNSW, Sydney, Australia & MGH-Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States
Mark Woolrich, OHBA, University of Oxford, Oxford, United Kingdom
The neuroimaging network paradigm has gained a lot of traction in recent years as a framework for understanding cognition. However the existing tools such as correlation matrices, graph analysis methods and time-varying connectivity have bumped into their limits. Consequently the network paradigm is a very long way from achieving its potential. In particular, currently, there are no mature answers to basic questions of: biomarker development; reliable individual network construction (crucial for the development of imaging based personalised medicine); construction and validity of time-varying networks and relating information across modalities. Thus now is a perfect moment time to present to junior scholars, a selection of major emerging techniques that go beyond the current limits. In each case a domain expert will explain the basics of the new methods, illustrate with preliminary results and outline challenges for the future.
- "Reliable Individual Functional Networks and their Relationship to Behavior"
Emily Finn, Yale University, New Haven, CT, United States - "Estimating Functional Connectomes: Sparsity’s Strength and Limitations"
Gael Varoquaux, INRIA, Palaiseau, France - "Time-varying Connectivity"
Steven Petersen, PhD, Washington University, St. Louis, WA, United States - "Multimodal Static and Dynamic Connectomes"
Mark Woolrich, OHBA, University of Oxford, Oxford, United Kingdom - "Community Structure in Networks: Static, Dynamic, and Multimodal Approaches"
Danielle Bassett, Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States - "Multivariate Modeling and Inference for Brain Networks: ERGMs and Mixed Models"
Sean Simpson, PhD, Wake Forest School of Medicine, Winston-Salem, NC, United States - "The Future Shape of Neuroimaging with Persistent Homology"
Ben Cassidy, PhD, Columbia University, New York, NY, United States
See also our
- OHBM 2013 "How Not to Analyze Your Data: A Skeptical Introduction to Modeling Methods" course
- OHBM 2011 "How To Be a Skeptical Neuroimager: Functional Connectivity & Causal Modeling" workshop
- OHBM 2010 "Why should I believe your Model? How to be a Sceptical Neuroimager" workshop