JSM 2016 Online Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Functional connectivity returned 12 record(s)

Sunday, 07/31/2016

Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University

PDEs and Regularized Principal Component Analysis of Functional Connectivity Maps
Eardi Lila, University of Cambridge; John Aston, University of Cambridge; Laura Sangalli, Politecnico di Milano
4:30 PM

A Joint Model for Assessing the Link Between Functional and Structural Brain Connectivity
Phebe Kemmer, Emory University; Ying Guo, Emory University
5:05 PM

Functional Connectivity for Prediction and Classification: Characterization and Estimation
DuBois Bowman, Columbia University
5:20 PM

Monday, 08/01/2016

Estimation of Functional Connectivity Among Neuron Ensembles via Hawkes Processes
Shizhe Chen, University of Washington; Eric Shae-Brown, University of Washington; Ali Shojaie, University of Washington; Daniela Witten, University of Washington
8:50 AM

Penalized Regression Method for Finding Differences in Brain Connectome Graphs
Donghyeon Yu, Keimyung University
9:35 AM

Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California at Berkeley; Lexin Li, University of California at Berkeley
3:05 PM

Tuesday, 08/02/2016

An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large-Scale Brain Networks Using Partial Correlation
Yikai Wang, Emory University

Model-Free Estimation of Task-Based Dynamic Functional Connectivity and Its Confidence Intervals
Maria Kudela, Indiana University; Mario Dzemidzic, Indiana University School of Medicine; Brandon G. Oberlin, Indiana University School of Medicine; Joaquín Goñi, Purdue University; David A. Kareken, Indiana University School of Medicine; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health

Prediction of Brain Functional Connectivity in Resting-State fMRI Data Using a Bayesian Hierarchical Model
Tian Dai, Emory University; Ying Guo, Emory University
3:05 PM

Wednesday, 08/03/2016

Quantifying Functional Connectivity with Data-Adaptive Covariance Matrices for Multivariate Functional Data
Alexander Petersen, University of California at Davis; Hans-Georg Mueller, University of California at Davis
8:55 AM

JSM 2016 Online Program

Keyword Search

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