2015-16: CCNS: Challenges in Functional Connectivity Modeling and Analysis: April 8-10, 2016

Workshop Information

Program: 2015-16: Program on Challenges in Computational Neuroscience (CCNS)

When: April 8, 2016 - 8:30am - April 10, 2016 - 1:00pm

Workshop Organizers:

Registration for this workshop is currently closed.

Location: Hamner Conference Center, RTP, NC

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The application deadline is February 25, 2016.

Description:

In this workshop, there will be lectures by experts who will introduce to mathematicians and statisticians the substantive issues on characterizing and modeling connectivity, both structural and neuronal, using various data modalities that capture different facets of brain anatomy and functionality. There will be invited talks from different experts in the area of space-time modeling to discuss state-of-the-art modeling approaches and their limitations; and to identify new lines of research that are motivated by the current neuroscientific problems. Finally, representatives from both NIH and NSF will provide information on existing funding opportunities and future directions of these two institutions. The panel will share their own ideas about how to improve the presentation and organization of the proposals.

Directorate Liaison: Tom Witelski, Duke University

Schedule

Speaker Abstracts

Posters

Participant List

Friday, April 8th

Hamner Conference Center

8:00	Shuttle to Hamner Conference Center
8:30– 9:00	Welcome by SAMSI Associate Director: Thomas Witelski Introduction to CCNS Program: Daniel Rowe (Marquette University) Overview of the Aims of the Workshop: Hernando Ombao (University of California, Irvine)
9:00 –10:15	Lecture: Neurophysiology and Behavior: Spike Trains and Fields David Moorman (University of Massachusetts, Amherst)
10:15– 10:45	Break
10:45–12:00	Lecture: Functional Connectivity and the Neurophysics of EEG Ramesh Srinivasan (Univ California, Irvine)
12:00–1:15	Lunch
1:15–2:15	Lecture: Interdependence and Brain Networks Paul Laurenti (Wake Forest University)
2:15–2:45	Break
2:45–3:45	Lecture: Overview of Spatial Statistics with Applications to fMRI Stefano Castruccio (Newcastle University, UK)
3:45–4:15	Break
4:15–5:15	Lecture: Power and Sample Size Calculations in fMRI Joke Durnez (Stanford University)
5:45–8:00	Dinner and Informal Discussion on Grants Opportunities and Grant Writing Alicia Carriquiry (Iowa State University) Grants Nandini Kannan (NSF Program Director) Michael Kosorok (University of North Carolina) David Stoffer (University of Pittsburgh)
8:00	Shuttle departs to hotel

Saturday, April 9th

Hamner Conference Center

9:00	Shuttle to Hamner Conference Center
9:30–10:30	Integrative Methods for Neuroimaging Data Organizer: Marina Vannucci (Rice University) Vince Calhoun (University of New Mexico) Approaches to Multi-Model Fusion of Brain Imaging Data Rajarshi Guhaniyogi (University of California, Santa Cruz) Bayesian Tensor Regression: A Scalable Bayesian Framework for Neuroimaging Data
10:30–11:00	Break
11:00–12:30	Integrative Methods for Neuroimaging Data (Continued) Dubois Bowman (Columbia University) Integrative Methods for Functional and Structural Connectivity Michele Guindani (MD Anderson) Integrative Bayesian Modeling Approaches to Imaging Genetics Discussion
12:30–2:00	Lunch and Poster Session
2:00–3:00	fMRI Connectivity Organizer: Ting-ting Zhang (University of Virginia) Jane-Ling Wang (University of California, Davis) A New Measure of Synchronization to Quantify Brain Connectivity Ani Eloyan (Brown University) Functional Connectivity in Autism via Independent Component Analysis
3:00-3:30	Break
3:30-5:00	fMRI Connectivity (Continued) Mary Kociuba (Marquette University) Complex-Valued Time-Series Correlation in the Frequency Domain Increases Sensitivity in FMRI Analysis Martin Lindquist (Johns Hopkins University) Dynamic Connectivity: Pitfalls and Promises Discussion
5:00–6:00	Break
6:00–8:00	Dinner and Talks Jana Borg (Duke University) Dynamic Neural Network Interactions Underlying Moral Decision-Making John Muschelli (Johns Hopkins University) Neuroimaging in R: fslr and Other R Packages
8:00	Shuttle departs to hotel

Sunday, April 10th

Hamner Conference Center

8:30	Shuttle to Hamner Conference Center
9:00–10:30	Inferring Connectivity in Various Modalities Organizers: Daniel Rowe (Marquette) and Hernando Ombao (UC Irvine) Lexin Li (UC Berkeley) Estimation and Inference for Brain Connectivity Analysis Damla Senturk (UCLA) Identifying Longitudinal Trends within EEG Experiments Discussion
10:30–10:45	Break
10:45-11:45	Integrated Multi-modal Data Analysis Jorge Riera (Florida International Atlantic University) Distributions of Irritative Zones Are Related to Individual Alterations of Resting-State Networks in Focal Epilepsy
11:45–1:00	Group Box Lunch Discussion on the Future of Neuro-statistics Concluding Remarks Hongtu Zhu (UNC)
1:00	Adjourn and shuttle to RDU Airport