Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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585
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Wed, 8/2/2017,
2:00 PM -
3:50 PM
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CC-342
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Statistical Methods for Studying Brain Connectivity and Networks — Contributed Papers
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Section on Statistics in Imaging
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Chair(s): Daniel B. Rowe, Marquette University
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2:05 PM
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A Moment Estimator for the GARCH-DCC Model: An Algorithm for Estimating Dynamic Functional Connectivity in High-Dimensional fMRI Data
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Yuting Xu, Johns Hopkins Bloomberg SPH ; Martin Lindquist, Johns Hopkins University
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2:20 PM
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Dynamic Functional Connectivity in Nonstationary Task-Related Brain Imaging and Neural Recording Data
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Natalie Klein, Carnegie Mellon University ; Robert E. Kass, Carnegie Mellon University ; Valerie Ventura, Carnegie Mellon University ; Jordan Rodu, Carnegie Mellon University
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2:35 PM
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Modeling Multiple Brain Networks Through Linear Mixed Effects Models
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Yura Kim, University of Michigan ; Liza Levina, University of Michigan
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2:50 PM
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Spatial Integration of Functional Connectivity Methods in the Default Mode Network of the Brain
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Priyangi Bulathsinhala ; Richard Gunst, Southern Methodist University ; Jeffrey Spence, Center for Brain Health, UT Dallas
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3:05 PM
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Longitudinal Independent Component Analysis with Application to fMRI Data
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Yikai Wang, Emory University ; Ying Guo, Emory University
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3:20 PM
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Network Classification with Applications to Brain Connectomics
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Jesus Daniel Arroyo Relion ; Daniel Kessler, University of Michigan ; Liza Levina, University of Michigan ; Stephan F. Taylor, University of Michigan
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3:35 PM
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Collective Spectral Density Function Estimation and Clustering for Time Series and Spatial Data
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Tianbo Chen, King Abdullah University of Science & Technology ; Ying Sun, King Abdullah University of Science and Technology ; Medhi Maadooliat, Marquette University
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