Neuroscience Sessions/Talks at the 2016 Joint Statistical Meetings

By Steve Pierson posted 05-04-2016 12:08

  

With ASA's continued work to show the importance and benefits of engaging statistics in Big Data, the BRAIN Initiative, and the Precision Medicine Initiative, I am continuing the blog entries showing the JSM talks related to Data Science & Big Data and the JSM talks related to Precision Medicine. This blog entry highlights the ones related to Neuroscience and the BRAIN Initiative, the 2015 version of which is here. (Please let me know of any I missed.)

This first list are neuroscience/neuroimaging themed sessions:

17 Missing Data in Neuroscience Clinical Trials: Truth or Consequences — Topic Contributed Papers Sun, 7/31/2016, 2:00 PM - 3:50 PM CC-W194b

252 Predictive modeling and feature selection for Neuroimaging data — Contributed Papers Mon, 8/1/2016, 2:00 PM - 3:50 PM CC-W191

292 Power and meta-analysis in neuroimaging: contributing to reproducible science — Invited Papers Tue, 8/2/2016, 8:30 AM - 10:20 AM CC-W190b

487 Novel Statistical Methodologies for Neuroimaging Data — Topic Contributed Papers Wed, 8/3/2016, 8:30 AM - 10:20 AM CC-W182

547 Statistical challenges and solutions for neuroimaging studies — Contributed Papers Wed, 8/3/2016, 10:30 AM - 12:20 PM CC-W182

Below are talks where "brain" or "neuroscience" appears in the abstract. I also encourage to see peruse these search results:

For some of the other documents highlighting the important ways statisticians are advancing the BRAIN Initiative, Big Data and Precision Medicine, see:

See other ASA Science Policy blog entries. For ASA science policy updates, follow @ASA_SciPol on Twitter.

 

Talks with "brain" or "neuro" in the abstract

Keyword Search Criteria: brain neuro returned 72 record(s)
Sunday, 07/31/2016
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 


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 


Assessing genomic risk for learning problems with neuroimaging data 
Heping Zhang, Yale University School of Public Health; Chintan Mehta, Yale University 
2:05 PM 

Nonparametric Spatiotemporal Analysis of Neuroimaging Data 
Nathaniel Helwig, University of Minnesota - Twin Cities 
2:30 PM 

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 

Bayesian feature screening for big neuroimaging data via massively parallel computing 
Jian Kang, University of Michigan 
2:55 PM 

Assessing the impact of missing data: Is it being done correctly in neuroscience clinical trials? 
Ralph D'Agostino, Boston University 
3:05 PM 

Joint analysis of brain imaging data and genetics data 
Wenxuan Zhong, University of Georgia 
3:20 PM 

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 

A novel group-fused lasso with applications to dynamic brain connectivity 
David Degras, DePaul University; Martin Lindquist, Johns Hopkins University 
4:05 PM 

Accounting for Uncertainty in Stochastic Actor Oriented Models of Dynamic Networks 
Heather Shappell, Boston University; Eric D. Kolaczyk, Boston University 
4:20 PM 

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 

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 

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 

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 

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 

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 

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 

A joint model for assessing the link between functional and structural brain connectivity 
Phebe Kemmer, Emory University; Ying Guo, Emory University 
5:35 PM 

Monday, 08/01/2016
Analysis of Counts and Times 
David Bristol, Statistical Consulting Services 


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 


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 


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 


Large Scale MCMC using GPU with Application in Brain Imaging 
Yang Yang, UMN; Galin Jones, University of Minnesota, Twin Cities 


Application of Exploratory Factor Analysis for Survey Reduction in Neurology Research. 
Jayawant Mandrekar, Mayo Clinic 
8:35 AM 

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 

Penalized regression method for finding differences in brain connectome graphs 
Donghyeon Yu, Keimyung University 
9:35 AM 

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 

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 

Large Scale MCMC using GPU with Application in Brain Imaging 
Yang Yang, UMN; Galin Jones, University of Minnesota, Twin Cities 
11:55 AM 

Sparse Mediation Analysis for high-dimensional mediators with application of NeuroImaging and methylation data 
Seonjoo Lee, Columbia University 
2:05 PM 

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 

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 

Tuesday, 08/02/2016
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 


Statistical Tools for Clinical Neuroimaging 
Ciprian Crainiceanu, Johns Hopkins University 


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 


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 


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 


An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation 
Yikai Wang, Emory University 


A Bayesian zero-inflated Poisson graphical model for identifying functional co-activation patterns 
Caprichia Jeffers, Emory University; Jian Kang, University of Michigan 


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 


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 


Edgewise and subgraph level tests for brain networks 
Huaihou Chen, University of Florida; Bingxin Zhao, University of Florida 
8:35 AM 

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 

New tools and methods for power analyses in neuroimaging 
Joke Durnez, Stanford University 
8:55 AM 

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 

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 

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 

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 

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 

Decoding Brain States from fMRI Data with a Machine Learning Method 
Elizabeth Chou 
10:35 AM 

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 

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 

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 

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 

Papayar: A better interactive neuroimage plotter in R 
John Muschelli, Johns Hopkins University 
2:50 PM 

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 

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 

Wednesday, 08/03/2016
The Key Role of Statistics in Neuroimaging: Challenges and Opportunities 
DuBois Bowman, Columbia University 


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 

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 

Classifying dementia based on volumetric MRI 
John Kornak, University of California, San Francisco 
12:05 PM 

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 

Thursday, 08/04/2016
Statistical segmentation of Multiple Sclerosis lesions on structural magnetic resonance images 
Ciprian Crainiceanu, Johns Hopkins University 
8:35 AM 

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 

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 

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 

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 

Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities 
Ivo Dinov, Statistics Online Computational Resource 
10:05 AM 

Evaluating the Reliability of Dynamic Connectivity in fMRI 
Martin Lindquist, Johns Hopkins University 
10:55 AM 

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 

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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