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

Registration for this workshop is currently closed.

Location

Hamner Conference Center, RTP, NC

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.

Questions: email CCNS@samsi.info


Schedule and Supporting Media

Friday, April 8th
Hamner Conference Center

Time Description Speaker Slides Videos
8:00 Shuttle to Hamner Conference Center
8:30– 9:00 Welcome by SAMSI Director
Introduction on the year-long programme
Overview of the Aims of the Workshop
Thomas Witelski
Daniel Rowe, Marquette University
Hernando Ombao, University of California, Irvine
9:00 –10:15 Lecture
Fundamentals of neuronal spike trains and local field potentials with emphasis on current substantive issues on connectivity between neurons
David Moorman, University of Massachusetts, Amherst
10:15– 10:45 Break
10:45–12:00 Lecture
Fundamentals of electroencephalograms with emphasis on the substantive issues of source estimation and location; and connectivity
Ramesh Srinivasan, Univ California, Irvine
12:00–1:15 Lunch
1:15–2:15 Lecture
Fundamentals of functional MRI with emphasis on effective and functional connectivity
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 analysis in fMRI
Joke Durnez, Stanford University
5:45–8:00 Dinner and Informal Discussion on Grants Opportunities and Grant Writing Nandini Kannan, NSF Program Director
Michael Kosorok, University of North Carolina, BMRD Study Section Member and PI of several NIH RO1 grants
David Stoffer, University of Pittsburgh, former NSF Program Director and awardee of several NSF grants
8:00 Shuttle departs to hotel

Saturday, April 9th
Hamner Conference Center

Time Description Speaker Slides Videos
9:00 Shuttle to Hamner Conference Center
9:30–10:30 Talks on Integrative Methods for Neuroimaging Data

Integrative Bayesian Modeling Approaches to Imaging Genetics
Bayesian Tensor Regression: A Scalable Bayesian Framework for Neuroimaging Data
Integrative Methods for Functional and Structural Connectivity
Novel Approaches for Data Fusion in Brain Imaging

Organizer:
Marina Vannucci, Rice University
Speakers:
Michele Guindani, MD Anderson
Rajarshi Guhaniyogi, University of California, Santa Cruz
Dubois Bowman, Columbia University
Vince Calhoun, University of New Mexico

10:30–11:00 Break
11:00–12:30 Talks on Integrative Methods for Neuroimaging Data (Continued)
12:30–2:00 Lunch
2:00–3:00 Talks on fMRI Connectivity
A New Measure of Synchronization to Quantify Brain Connectivity
Functional Connectivity in Autism via Independent Component Analysis
Complex-Valued Time-Series Correlation in the Frequency Domain Increases Sensitivity in FMRI Analysis
Dynamic Connectivity: Pitfalls and Promises
Organizer:
Ting-ting Zhang, University of Virginia
Speakers:
Jane-Ling Wang, University of California, Davis
Ani Eloyan, Brown University
Mary Kociuba, Marquette University
Martin Lindquist, Johns Hopkins University
3:00-3:30 Break
3:30-5:00 Talks on fMRI Connectivity (Continued)
5:00–6:00 Break
6:00–8:00 Dinner and Talk
Dynamic Neural Network Interactions Underlying Moral Decision-Making
Neuroimaging in R: fslr and Other R Packages
Jana Borg, Duke University
John Muschelli, Johns Hopkins University
8:00 Shuttle departs to hotel

Sunday, April 10th
Hamner Conference Center

Time Description Speaker Slides Videos
8:30 Shuttle to Hamner Conference Center
9:00–10:30 Talk on Inferring connectivity in various modalities
Estimation and Inference for Brain Connectivity Analysis
Identifying Longitudinal Trends within EEG Experiments
Organizers:
Daniel Rowe, Marquette
Hernando Ombao, UC Irvine
Speakers:
Lexin Li, UC Berkeley
Damla Senturk, UCLA

10:30–10:45 Break
10:45-11:45 Integrated multi-modal data analysis
Distributions of Irritative Zones Are Related to Individual Alterations of Resting-State Networks in Focal Epilepsy
Jorge Riera, Florida International Atlantic University
11:45–1:00 Group boxed lunch
Discussion on the future of neuro-statistics
Concluding remarks by:
Hongtu Zhu, UNC
Thomas Witelski, SAMSI
1:00 Adjourn and shuttle to RDU Airport