Neuroscience Sessions/Talks at the 2015 Joint Statistical Meetings

By Steve Pierson posted 06-15-2015 09:42

  

With ASA's work to raise show the importance and benefits of engaging statistics in big data, the BRAIN Initiative, and the Precision Medicine Initiative, we have done blog entries showing the JSM talks related to Big Data and the JSM talks related to Precision Medicine. This blog entry highlights the ones related to Neuroscience and the BRAIN Initiative. (Please let me know of any I missed.)

[6/22/15 update: Please also note Greg Farber from the National Institute of Mental Health will be speaking at the Funding Opportunities for Statistics meeting: ASA Committee on Funded Research to Host Funding Opportunities Meeting at 2015 JSM, Sunday, August 9 at 12:15 pm.]

This first list are neuroscience/neuroimaging themed sessions:

26 Recent Advances in Neuroimaging Data Analysis Sun, 8/9 2:00 PM to 3:50 PM
Room: CC-205
170 New Tools for Analysis of Neuroimaging Data Mon, 8/10 10:30 AM to 12:20 PM
Room: CC-205
249 Statistical Methods for Neuroimaging Data Analysis I Mon, 8/10 2:00 PM to 3:50 PM
Room: CC-213
282 Introductory Overview Lecture: Statistical Issues in Computational Neuroscience Tue, 8/11 8:30 AM to 10:20 AM
Room: CC- Ballroom 6E
360 Statistical Methods for Neuroimaging Data Analysis II Tue, 8/11 10:30 AM to 12:20 PM
Room: CC-307
415 Statistical Methods for Improved Processing and Analysis of fMRI Data
  Tue, 8/11/2015, 2:00 PM to 3:50 PM
Room: CC-3A
512 Bayesian Models for Neuroimaging Data Wed, 8/12 10:30 AM to 12:20 PM
Room: CC-607
587 Mining Big Data in Computational Neuroscience: Top-Down Methods Wed, 8/12 2:00 PM to 3:50 PM
Room: CC-201
604 Statistical Methods for Neuroimaging Data Analysis III Wed, 8/12 2:00 PM to 3:50 PM
Room: CC-306
623 Statistical and Graphical Challenges in Analyzing Big and Complex Neuroimaging Data Thu, 8/13 8:30 AM to 10:20 AM
Room: CC-206

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 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 "neuroscience" in the abstract

Sunday, 08/09/2015
A New Method for Estimating Spectral Clustering Change-Points for fMRI Data 
Ivor Cribben, University of Alberta; Yi Yu, University of Cambridge 
Large-Scale Multimodal Brain Network Construction and Its Application to Maltreated Children 
Moo Chung, University of Wisconsin - Madison 
Bayesian Adaptive Designs in the Presence of Multiple Factors: Hyperbaric Oxygen Brain Injury Treatment (HOBIT) Phase II Trial 
Byron J. Gajewski, University of Kansas Medical Center; Scott M. Berry, Berry Consultants; Gaylan L. Rockswold, Hennepin County Medical Center 
2:20 PM 
Semiparametric Bayes Graphical Models Incorporating Covariates with Applications to Imaging Genetics 
Suprateek Kundu, Emory University; Jian Kang, Emory University 
3:05 PM 
A Parsimonious Differential Brain Connectivity Network Detection Method 
Shuo Chen, University of Maryland 
3:25 PM 
Neural Spike Trains as Realizations of Skellam Process with Resetting 
Reza Ramezan, California State University at Fullerton; Paul Marriott, University of Waterloo; Chenouri Shojaeddin, University of Waterloo 
5:20 PM 
The Optimal Hormonal Replacement Selection for Brain Dead Organ Donors Based on Graft Survival in Recipients 
Zhibao Mi, VA CSPCC Perry Point; Dimitri Novitzky, Haley VA Medical Center; Joseph Collins, VA CSPCC; David Cooper, University of Pittsburgh Thomas E. Starzl Transplantation Institute 
5:35 PM 
Monday, 08/10/2015
Separating Spike Count Correlation from Trial-to-Trial Firing Rate Correlation 
Giuseppe Vinci, Carnegie Mellon University; Robert Kass, Carnegie Mellon University; Valérie Ventura, Carnegie Mellon University; Matthew A. Smith, University of Pittsburgh 
Estimating an Unobserved State Variable Using Marked Point Process Filters 
Xinyi Deng, Boston University; Daniel F. Liu, UC San Francisco; Kenneth Kay, UC San Francisco; Loren M. Frank, UC San Francisco; Uri Eden, Boston University 
Matrix Factorization Algorithms for the Identification of Resting-State Networks Using Functional Magnetic Resonance Imaging 
Karthik Devarajan, Fox Chase Cancer Center; Harvey Hensley, Fox Chase Cancer Center 
Matrix Factorization Algorithms for the Identification of Resting-State Networks Using Functional Magnetic Resonance Imaging 
Karthik Devarajan, Fox Chase Cancer Center; Harvey Hensley, Fox Chase Cancer Center 
8:50 AM 
Brain Connectivity Analysis: A Critical Review and Some Progress 
Victor Solo, University of New South Wales 
9:00 AM 
Open Problems and New Directions in Functional Magnetic Resonance Imaging (fMRI) 
Martin A. Lindquist, The Johns Hopkins University 
9:25 AM 
Estimating an Unobserved State Variable Using Marked Point Process Filters 
Xinyi Deng, Boston University; Daniel F. Liu, UC San Francisco; Kenneth Kay, UC San Francisco; Loren M. Frank, UC San Francisco; Uri Eden, Boston University 
9:35 AM 
Bayesian Inference for High-Dimensional Dynamic Systems Modeled by Ordinary Differential Equations with Applications to Brain Networks 
Tingting Zhang, University of Virginia; Brian Caffo, The Johns Hopkins University; Dana Boatman, The Johns Hopkins University; Qiannan Yin, University of Virginia 
9:55 AM 
Stroke Localization and Association with Health Outcomes Using Clinical CT Images 
Ciprian Crainiceanu, The Johns Hopkins University 
10:35 AM 
The Computational Challenges of Constructing and Visualizing Large-Scale Brain Networks 
Moo Chung, University of Wisconsin - Madison 
11:15 AM 
Dynamic Network Analysis in Resting-State fMRI for Alzheimer's Disease 
Heather Shappell; Yorghos Tripodis, Boston University; Ronald J. Killiany, Boston University; Eric Kolaczyk, Boston University 
2:05 PM 
Regularized Brain Reading with Shrinkage and Smoothing 
Leila Wehbe; Aaditya Ramdas, Carnegie Mellon University; Rebecca Steorts, Duke University; Cosma Shalizi, Carnegie Mellon University 
2:05 PM 
Modeling Placebo Response Using EEG Data 
Bei Jiang, Columbia University/New York University; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; R. Todd Ogden, Columbia University 
2:20 PM 
Some Likelihood Ratio Tests for Signal Detection from fMRI Brain Images 
Khalil Shafie, University of Northern Colorado 
2:35 PM 
Clustering Neurons in a Microcircuit by Firing Patterns 
Jordan Rodu, Carnegie Mellon University; Dylan Small, University of Pennsylvania; Shane T. Jensen, University of Pennsylvania 
3:05 PM 
Tuesday, 08/11/2015
Random Graph Mixture Model for Estimating the Shared Latent Structure in Groups of Brain Networks 
Christopher Bryant, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill; Joseph Ibrahim, The University of North Carolina 
Modeling Brain Desynchronization by EEG Sensor Variance in Epileptic Patients 
Craig Krebsbach, University of Rhode Island; Gavino Puggioni, University of Rhode Island 
Know Your Control Group: Comparison of Military and Civilian Controls in the Study of Traumatic Brain Injury 
John Irvine, The Charles Stark Draper Laboratory; Laura Mariano, Draper Laboratory; Ben Rowland, Brigham and Women's Hospital; Kristin Heaton, U.S. Army Institute of Environmental Medicine; Alexander Lin, Brigham and Women's Hospital 
Statistical Analysis of Network Data Objects, with Applications in Functional Neuroimaging 
Eric Kolaczyk, Boston University; Cedric Ginestet, Boston University; Steve Rosenberg, Boston University; Lizhen Lin, The University of Texas at Austin 
8:35 AM 
A Cluster Analysis of Pediatric Cancer Incidence Rates in Florida: 2000--2010 
Raid Amin, University of West Florida; Michael Hendryx, Indiana University; Matthew Shull, University of West Florida; Alexander Bohnert, Nuremberg University-Erlangen 
8:35 AM 
Partially Functional Linear Regression in High Dimensions 
Fang Yao, University of Toronto; Kaijie Xue, University of Toronto; Dehan Kong, The University of North Carolina at Chapel Hill; Hao Helen Zhang, The University of Arizona 
8:55 AM 
Childhood Brain Cancer in Florida: A Bayesian Clustering Approach 
Chawarat Rotejanaprasert 
9:35 AM 
Quantifying Functional Connectivity in Brain Imaging: The Functional Data Approach 
Jane-Ling Wang, UC Davis; Jingjiang He, UC Davis; Xiaoke Zhang, UC Davis; Owen Carmichael, UC Davis; Hans-Georg G. Mueller, UC Davis 
9:55 AM 
Know Your Control Group: Comparison of Military and Civilian Controls in the Study of Traumatic Brain Injury 
John Irvine, The Charles Stark Draper Laboratory; Laura Mariano, Draper Laboratory; Ben Rowland, Brigham and Women's Hospital; Kristin Heaton, U.S. Army Institute of Environmental Medicine; Alexander Lin, Brigham and Women's Hospital 
10:10 AM 
Assessing Monte Carlo Error in Diffusion MRI 
Yang Yang, University of Minnesota 
10:35 AM 
Multiple-Response Prediction and Region Selection in Neuroimaging Analysis 
Zhou Li, North Carolina State University; Lexin Li, UC Berkeley 
11:20 AM 
Optimizing Region-of-Interest Composites for Capturing Treatment Effects on Brain Amyloid in Clinical Trials 
Volha Tryputsen, Janssen R&D 
11:35 AM 
Thresholded Multiscale Gaussian Processes with Application to Bayesian Feature Selection for Massive Neuroimaging Data 
Ran Shi, Emory University Rollins School of Public Health; Jian Kang, Emory University 
11:55 AM 
Generating Data-Driven ROIs for Quantifying Structural Brain Changes in Frontotemporal Dementia 
Aleksandr Pankov; Richard Binney, Temple University; Suneth Attygalle, UC San Francisco; John Kornak, UC San Francisco; Howard Rosen, UC San Francisco 
12:05 PM 
Identifying Significant Regions of Brain Activation with the Use of fMRI Metadata 
Meredith Ray, University of Memphis; Hongmei Zhang, University of Memphis; Jian Kang, Emory University 
2:50 PM 
Disentangling Brain Graphs: The Conflation of Network and Connectivity Analyses 
Sean Simpson, Wake Forest School of Medicine; Paul Laurienti, Wake Forest School of Medicine 
3:05 PM 
Wednesday, 08/12/2015
Group Parametric Independent Colored Sources: Detection of Hidden Brain Activities from Groups of High-Dimensional Neuroimaging Data 
Dong Wang; Seonjoo Lee, Columbia University; Haipeng Shen, The University of North Carolina at Chapel Hill; Young Truong, The University of North Carolina at Chapel Hill 
8:35 AM 
Allele-Specific RNA Expression Modeling Using Finite Mixture Models 
Rong Lu, The Ohio State University; Ryan Smith, The Ohio State University; Michal Seweryn, The Ohio State University; Danxin Wang, The Ohio State University; Amy Webb, The Ohio State University; Wolfgang Sadee, The Ohio State University; Grzegorz Rempala, The Ohio State University 
8:35 AM 
Causal Inference in a Multidimensional Latent Mediator Model for the Relationship Between Predictive Cues and Neural Acitivty in the Brain's Pain Processing Network 
Michael Sobel, Columbia University; Martin A. Lindquist, The Johns Hopkins University 
9:35 AM 
Bayesian Approaches for Simultaneous Inference of Brain Activation and Connectivity in Multi-Subject Studies 
Raquel Prado, UC Santa Cruz; Hernando Ombao, UC Irvine; Zhe Yu, UC Irvine 
11:15 AM 
Noise Quantification in MR Experiments 
Joerg Polzehl, Weierstrass Institute for Applied Analysis and Stochastics; Karsten Tabelow, Weierstrass Institute for Applied Analysis and Stochastics 
2:45 PM 
Flexible State-Space Models with Application to Brain Signals 
Hernando Ombao, UC Irvine; Zhe Yu, UC Irvine ; Raquel Prado, UC Santa Cruz 
3:05 PM 
Statistical Approaches for Exploring Brain Connectivity with Multi-Modal Neuroimaging Data 
Phebe Kemmer, Emory University; Ying Guo, Emory University; DuBois Bowman, Columbia University 
3:05 PM 
Thursday, 08/13/2015
Estimate Information Flow in Brain Networks 
Xi Luo, Brown University; Yi Zhao, Brown University 
8:35 AM 
Brain Imaging and Personalized Medicine in Psychiatry 
R. Todd Ogden, Columbia University; Adam Ciarleglio, New York University; Bei Jiang, Columbia University/New York University; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University 
9:00 AM 
Bayesian Inference on Group Differences in Brain Networks 
Daniele Durante, University of Padova; David Dunson, Duke University 
9:25 AM 

 

 

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