Sunday, 07/31/2016
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A Mixed-Effects Modelling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-FMRI Data
Mohsen Bahrami, Virginia Tech- Wake Forest Biomedical Engineering Program; Paul Laurienti, Wake Forest School of Medicine; Thomas Arcury, Wake Forest School of Medicine; Sean Simpson, Wake Forest School of Medicine
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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
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Assessing genomic risk for learning problems with neuroimaging data
Heping Zhang, Yale University School of Public Health; Chintan Mehta, Yale University
2:05 PM
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Nonparametric Spatiotemporal Analysis of Neuroimaging Data
Nathaniel Helwig, University of Minnesota - Twin Cities
2:30 PM
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Role of Simulations in the Selection of the Primary Estimand and Statistical Methods for Handling Missing Data
Elena Polverejan, Janssen R&D, Johnson&Johnson
2:45 PM
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Bayesian feature screening for big neuroimaging data via massively parallel computing
Jian Kang, University of Michigan
2:55 PM
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Assessing the impact of missing data: Is it being done correctly in neuroscience clinical trials?
Ralph D'Agostino, Boston University
3:05 PM
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Joint analysis of brain imaging data and genetics data
Wenxuan Zhong, University of Georgia
3:20 PM
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Relevant Brain Region Selection for Predicting MCI to AD Conversion, via Functional Data Analysis Approach.
Ah Yeon Park, University of Cambridge; John Aston, University of Cambridge; Frederic Ferraty, Toulouse Jean Jaures University
4:05 PM
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A novel group-fused lasso with applications to dynamic brain connectivity
David Degras, DePaul University; Martin Lindquist, Johns Hopkins University
4:05 PM
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Accounting for Uncertainty in Stochastic Actor Oriented Models of Dynamic Networks
Heather Shappell, Boston University; Eric D. Kolaczyk, Boston University
4:20 PM
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Dynamic Network Analysis in Resting-State fMRI for Alzheimer's Disease
Eric D. Kolaczyk, Boston University; Heather Shappell, Boston University; Yorghos Tripodis, Boston University; Ron Killiany, Boston University
4:30 PM
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Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X.K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM
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Regime-switching Dynamic Factor Models with Applications to Estimating Large-scale Time-varying Brain Connectivity
Chee-Ming Ting, Universiti Teknologi Malaysia; Hernando Ombao, University of California, Irvine; S. Balqis Samdin, Universiti Teknologi Malaysia; Sh-Hussain Salleh, Universiti Teknologi Malaysia
4:50 PM
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Exploiting biology's structure - function relationship to improve network modeling in neuroimaging
Barbara Wendelberger, University of Wisconsin-Madison; M. Elizabeth Meyerand, University of Wisconsin - Madison
5:05 PM
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Wavelet Analysis of Large-p-small-n Cross-correlation Matrices in fMRI Studies of Neuroplasticity
Jiayi Wu; Sam Efromovich, University of Texas at Dallas
5:20 PM
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A low rank covariance estimation methodology for understanding brain connectivity
Siddhartha Nandy, Michigan State University; Chae Young Lim, Seoul National University; Tapabrata Maiti, Michigan State University
5:25 PM
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Robust Clustering Methods for Time-evolving Brain Signals
Tianbo Chen, KAUST; Ying Sun, King Abdullah University of Science and Technology; Carolina Euan, CIMAT; Hernando Ombao, University of California, Irvine
5:35 PM
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A joint model for assessing the link between functional and structural brain connectivity
Phebe Kemmer, Emory University; Ying Guo, Emory University
5:35 PM
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Monday, 08/01/2016
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Analysis of Counts and Times
David Bristol, Statistical Consulting Services
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Spatio-temporal regression for longitudinally acquired MRI data
Arnab Hazra, North Carolina State University; Brian J Reich, North Carolina State University; Ana-Maria Staicu, North Carolina State University
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Rat vibrissae (whiskers) as a model to study the statistics of sensory data acquisition: analyzing the natural tactile scene while incorporating sensor dynamics
Hayley M. Belli, Northwestern University; Ian D.R. Abraham, Northwestern University; Sara A. Solla, Northwestern University; Todd D. Murphey, Northwestern University; Mitra J.Z. Hartmann, Northwestern University
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Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study
Ran Wei, North Carolina State University; Subhashis Ghoshal, North Carolina State University; Brian J Reich, North Carolina State University; Jane Hoppin, North Carolina State University
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Large Scale MCMC using GPU with Application in Brain Imaging
Yang Yang, UMN; Galin Jones, University of Minnesota, Twin Cities
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Application of Exploratory Factor Analysis for Survey Reduction in Neurology Research.
Jayawant Mandrekar, Mayo Clinic
8:35 AM
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Estimation of Functional Connectivity among Neuron Ensembles via Hawkes Processes
Shizhe Chen, University of Washington, Seattle; Eric Shae-Brown, University of Washington; Ali Shojaie, University of Washington; Daniela Witten, University of Washington
8:50 AM
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Penalized regression method for finding differences in brain connectome graphs
Donghyeon Yu, Keimyung University
9:35 AM
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Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study
Ran Wei, North Carolina State University; Subhashis Ghoshal, North Carolina State University; Brian J Reich, North Carolina State University; Jane Hoppin, North Carolina State University
11:00 AM
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Accounting for non-ignorable missingness in longitudinal brain imaging studies
Anders Lundquist, Umea University; Michael Daniels, The University of Texas at Austin; Xavier de Luna, Umea University; Lars Nyberg, Umea University
11:50 AM
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Large Scale MCMC using GPU with Application in Brain Imaging
Yang Yang, UMN; Galin Jones, University of Minnesota, Twin Cities
11:55 AM
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Sparse Mediation Analysis for high-dimensional mediators with application of NeuroImaging and methylation data
Seonjoo Lee, Columbia University
2:05 PM
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Multivariate Pattern Analysis and Confounding in Neuroimaging
Kristin Linn, Universiity of Pennsylvania; Bilwaj Gaonkar, University of California Los Angeles; Jimit Doshi, University of Pennsylvania; Christos Davatzikos, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
2:50 PM
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Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California, Berkeley; Lexin Li, University of California at Berkeley
3:05 PM
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Tuesday, 08/02/2016
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Correlating a right censored risk factor with a neuropathology finding subject to missing values
Richard Kryscio, University of Kentucky ; Erin L Abner, University of Kentucky; Peter T Nelson, University of Kentucky; David Fardo, University of Kentucky; Frederick A Schmitt, University of Kentucky
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Statistical Tools for Clinical Neuroimaging
Ciprian Crainiceanu, Johns Hopkins University
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Variability of Inter-Region Connectivity Measures in Resting-State fMRI
Alejandro Hernandez, The University of Tulsa; Maria Puhl, The University of Tulsa; Kyle Simmons, Laureate Institute for Brain Research; William Coberly, The University of Tulsa
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Group Discrimination using Sparse Network Modeling of Resting-State fMRI
Maria Puhl, The University of Tulsa; William Coberly, The University of Tulsa; Alejandro Hernandez, The University of Tulsa; Kyle Simmons, Laureate Institute for Brain Research
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Annual Raking and Weighting of the Traumatic Brain Injury Model Systems Database
Jessica McKinney Ketchum, Craig Hospital; Jeffrey Cuthbert, Sky Ridge Medical Center; Gale Whiteneck, Craig Hospital; C.B. Eagye, Craig Hospital; Cindy Harrison-Felix, Craig Hospital
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An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation
Yikai Wang, Emory University
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A Bayesian zero-inflated Poisson graphical model for identifying functional co-activation patterns
Caprichia Jeffers, Emory University; Jian Kang, University of Michigan
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A Two-Step Approach to Analyze Longitudinal Structural Neuroimaging Data
Li Xing, Indiana University; Shanshan Li, Indiana University Fairbanks School of Public Health; Jaroslaw Harezlak, Indiana University RM Fairbanks School of Public Health
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Bone Marrow Stromal Cell Therapy for Ischemic Stroke: A Meta-analysis of Randomized Control Animal Trials
Qing Wu, Nevada Institute of Personalized Medicine; Yuexiang Wang, Mayo Clinic; Bart Demaerschalk, Mayo Clinic in Arizona; Saruna Ghimire, Nevada Institute of Personalized Medicine; Kay Wellik, Mayo Clinic in Arizona; Wenchun Qu, Mayo Clinic
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Edgewise and subgraph level tests for brain networks
Huaihou Chen, University of Florida; Bingxin Zhao, University of Florida
8:35 AM
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Bone Marrow Stromal Cell Therapy for Ischemic Stroke: A Meta-analysis of Randomized Control Animal Trials
Qing Wu, Nevada Institute of Personalized Medicine; Yuexiang Wang, Mayo Clinic; Bart Demaerschalk, Mayo Clinic in Arizona; Saruna Ghimire, Nevada Institute of Personalized Medicine; Kay Wellik, Mayo Clinic in Arizona; Wenchun Qu, Mayo Clinic
8:40 AM
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New tools and methods for power analyses in neuroimaging
Joke Durnez, Stanford University
8:55 AM
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Inferring Brain Signals Synchronicity from a Sample of EEG Readings
Qian Li, UCLA Biostatistics; Donatello Telesca, UCLA; Damla Senturk, UCLA Department of Biostatistics
9:05 AM
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Using meta-analysis to enhance power and replicability in neuroimaging research: Current practices and open opportunities
Tor D. Wager, University of Colorado, Boulder
9:15 AM
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Computerintensive validation of meta-analysis in neuroimaging
Ruth Seurinck, Ghent University; Han Bossier, Ghent University; Freya Acar, Ghent University; Simone Kuehn, MPI for Human Development; Beatrijs Moerkerke, Ghent University
9:35 AM
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Using Hierarchical Models to Understand P300-Wave Based Brain-Computer Interface Performance Among Disabled Adults
Maryclare Griffin; Peter Hoff, University of Washington
10:05 AM
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A Bayesian adaptive clinical trial design: Diagnostic accuracy of an olfactory diagnostic test for traumatic brain injury in combat soldiers
Benjamin Saville, Berry Consultants
10:35 AM
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Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM
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Bayesian spatial models for predicting the location of head impacts
Michael Lawson, UNC-Chapel Hill Department of Biostatistics; Daniel Hernandez-Stumpfhauser, UNC-Chapel Hill Department of Biostatistics; Amy Herring, University of North Carolina at Chapel Hill; Gunter Siegmund, MEA Forensic; Jason Mihalik, UNC-Chapel Hill Department of Exercise and Sport Science; Steve Marshall, UNC-Chapel Hill Department of Epidemiology; Kevin Guskiewicz, UNC-Chapel Hill Department of Exercise and Sport Science
11:50 AM
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Spatial Large-Margin Angle-Based Classifier for Multi-Category Neuroimaging Data
Leo Yu-Feng Liu, University of North Carolina at Chapel Hill; Yufeng Liu, University of North Carolina; Hongtu Zhu, University of North Carolina at Chapel Hill
2:05 PM
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Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM
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Spatiotemporal Mixed Modeling of Multi-subject fMRI via Method of Moments
Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; David Matteson, Cornell University; R. Nathan Spreng, Cornell University; David Ruppert, Cornell University
2:45 PM
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Papayar: A better interactive neuroimage plotter in R
John Muschelli, Johns Hopkins University
2:50 PM
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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
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Functional Data Analysis for Sparse and Irregular Longitudinal MRI Measurements in the Developing Brain
Xiongtao Dai, UCD, for Healthy Birth, Growth and Development knowledge integration (HBGDki) community; Hans-Georg Mueller, University of California, Davis; Jane-Ling Wang, University of California, Davis
3:25 PM
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Wednesday, 08/03/2016
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The Key Role of Statistics in Neuroimaging: Challenges and Opportunities
DuBois Bowman, Columbia University
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A Joint Modeling Approach for Treatment Response and Baseline Imaging data
Bei Jiang; Eva Petkova, New York Universtiy; Thaddeus Tarpey, Wright State University; Todd Ogden, Columbia University
9:15 AM
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The interplay between sample size and reproducibility of results in fMRI studies.
Han Bossier, Ghent University; Ruth Seurinck, Ghent University; Sanne Roels, Ghent University; Simone Kuehn, MPI for Human Development; Jean-Baptiste Poline, University of California, Berkeley; Beatrijs Moerkerke, Ghent University
11:20 AM
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Classifying dementia based on volumetric MRI
John Kornak, University of California, San Francisco
12:05 PM
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Union of Intersections (UoI) Method for Bootstrap-based Interpretable Discovery
Sharmodeep Bhattacharyya, Oregon State University; Kristofer Bouchard, Lawrence Berkeley National Laboratory; Michael W. Mahoney, University of California, Berkeley; Farbod Roosta-Khorasani, University of California, Berkeley; Alejandro F. Bujan, University of California, Berkeley
2:05 PM
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Thursday, 08/04/2016
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Statistical segmentation of Multiple Sclerosis lesions on structural magnetic resonance images
Ciprian Crainiceanu, Johns Hopkins University
8:35 AM
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A Unified Modeling Framework for State-Related Changes in High Dimensional Effective Brain Connectivity
Hernando Ombao, University of California, Irvine; Yuxiao Wang, University of California, Irvine; Chee-Ming Ting, Universiti Teknologi Malaysia
8:35 AM
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Development of a neuroimaging biomarker for lesion recovery in multiple sclerosis
Elizabeth M Sweeney, Johns Hopkins Bloomberg School of Public Health ; Michelle Ross , University of Pennsylvania; John Muschelli, Johns Hopkins University; Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ani Eloyan , Brown University; Ciprian Crainiceanu, Johns Hopkins University; Russell Shinohara, University of Pennsylvania
9:15 AM
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Interpretable High-Dimensional Inference Via Score Maximization with an Application in Neuroimaging
Simon Vandekar, University of Pennsylvania; Philip Reiss, New York University; Russell Shinohara, University of Pennsylvania
9:20 AM
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Imputing missing values for neuroimaging data based on principle component analysis
Lan Kong, Penn State University College of Medicine; Menghan Li, Penn State University College of Medicine
9:35 AM
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Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities
Ivo Dinov, Statistics Online Computational Resource
10:05 AM
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Evaluating the Reliability of Dynamic Connectivity in fMRI
Martin Lindquist, Johns Hopkins University
10:55 AM
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Statistical Methods for Assessing Reproducibility in Multicenter Neuroimaging Studies
Ying Guo, Emory University; Tian Dai, Emory University; Limin Peng, Emory University; Amita Manatunga, Emory University
11:35 AM
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Integrated analysis of cell survival data with family-based genetic studies to treat neurodegenerative diseases
Daisy Philtron, Pennsylvania State University
11:35 AM
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