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Sunday, 08/04/2013
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A Bayesian Nonparametric Approach to the Analysis of fMRI Data
Linlin Zhang, Rice; Michele Guindani, The University of Texas MD Anderson Cancer Center; Marina Vannucci, Rice University
2:20 PM
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Functional Data Analysis for fMRI
Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
4:25 PM
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Variational Bayes Spatial Analysis of Combined MEG, EEG, and fMRI Data
Farouk S. Nathoo, University of Victoria; Arif Babul, Physics and Astronomy, University of Victoria; Alexander Moiseev, Down Syndrome Research Foundation; Naznin Virji-Babul, Physical Therapy, British Columbia; Faisal Beg, Engineering Science, Simon Fraser
4:45 PM
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Linking Brain Networks to Behavior with Subsampled Prediction and Stability Metrics
Stephen Strother, Rortman Research Institute, Baycrest
5:25 PM
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Monday, 08/05/2013
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A Bayesian Model of Activation and Functional Connectivity for Event-Related fMRI
Wesley K Thompson, University of California, San Diego; Dongli Zhou, Forest Labs
8:35 AM
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Search for Default Network Using Likelihood-Based Population Independent Component Analysis
Lei Huang, Johns Hopkins University; Shaojie Chen, The Johns Hopkins University; Huitong Qiu, The Johns Hopkins University; Ani Eloyan, Johns Hopkins Bloomberg School of Public Health; Ciprian M. Crainiceanu, The Johns Hopkins University; Brian Caffo, Johns Hopkins University
8:35 AM
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Shrink Large Covariance Matrix Without Penalty: An Empirical Nonparametric Bayesian Framework for Brain Connectivity Network Analysis
Shuo Chen, University of Maryland, College Park
8:35 AM
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Novel and Computationally Efficient Bayesian Methods in Neuroimaging
Theodore Kypraios, University of Nottingham, United Kingdom
8:55 AM
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A Semiparametric Model of the Hemodynamic Response for Multi-Subject fMRI Data
Tingting Zhang, University of Virginia; Fan Li, Duke University
8:55 AM
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Semiparametric Wavelet Estimation of the Hemodynamic Response Function (HRF) and Its Application in a Gustatory Functional Magnetic Resonance Imaging (fMRI) Study
Maria Aleksandra Kudela, Department of Biostatistics, Indiana University Fairbanks School of Public Health; Mario Dzemidzic, Departments of Neurology and Radiology, Indiana University School Medicine; Brandon Oberlin, Department of Neurology, Indiana University School Medicine; David Kareken, Departments of Neurology, Psychiatry and Radiology, Indiana University School Medicine; Jaroslaw Harezlak, Indiana Univ Fairbanks School of Public Health
9:15 AM
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Hierarchical Geostatistical Analysis in Clustering fMRI Time Series
Jun Ye, University of Akron
10:55 AM
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Varying-Coefficient Additive Model for Functional Data
Jane-Ling Wang, UC Davis; Xiaoke Zhang, University of California Davis
11:25 AM
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Methods for Detecting Functional Connectivity Change Points in fMRI Data
Ivor Cribben, University of Alberta School of Business; Tor D. Wager, University of Colorado, Boulder; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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Spectral Density Shrinkage for High-Dimensional Time Series
Mark Fiecas, University of California, San Diego; Rainer von Sachs, Universite Catholique de Louvain
2:25 PM
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Longitudinal Analysis of Resting-State fMRI Functional Connectivity Networks
Hakmook Kang, Vanderbilt University; Mark Fiecas, University of California, San Diego
2:45 PM
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Confidence Envelopes for Population-Level Activations in fMRI Studies
David Degras, DePaul University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
3:25 PM
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Tuesday, 08/06/2013
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Imputation of Missing Longitudinal fMRI Data
Maria Josefsson; Anders Lundquist, Umea University, Sweden
9:05 AM
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Keith Was (Almost) Right
Robert J. Adler, Technion; Armin Schwartzman, Harvard School of Public Health
10:35 AM
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An Evaluation of Independent Component Analyses with an Application to Resting State fMRI
Benjamin Risk; David Matteson, Cornell University; David Ruppert, Cornell University; Ani Eloyan, Johns Hopkins Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University
10:35 AM
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Bayesian Probit Model with Spatially Varying Coefficients and Its Application to Functional Magnetic Resonance Imaging
Fengqing (Zoe) Zhang, Northwestern University; Wenxin Jiang, Northwestern University; Patrick C.M. Wong, Northwestern University; Ji-Ping Wang, Northwestern University
10:50 AM
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The Interplay Between Random Field Theory and Permutation Inference Methods
Thomas Nichols, University of Warwick
11:25 AM
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A Bayesian Vector Autoregressive Approach to Joint Connectivity and Activation Analysis in fMRI
Zhe Yu, University of California, Irvine; Hernando Ombao, University of California at Irvine; Wesley K Thompson, University of California, San Diego; Robert E. Kass, Department of Statistics, Carnegie Mellon University
11:35 AM
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Alternative-Based Thresholding for Pre-Surgical fMRI
Beatrijs Moerkerke, Ghent University; Joke Durnez, Department of Data Analysis, Ghent University, Belgium; Andreas Bartsch, Department of Neuroradiology, University of Heidelberg, Heidelberg,
Germany; Thomas Nichols, University of Warwick
12:05 PM
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Exploring Brain Activation Networks with Matrix Volume
Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Ani Eloyan, Johns Hopkins Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University
2:55 PM
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Wednesday, 08/07/2013
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Data Analytical Stability in fMRI Research: An Application to Cluster-Wise Inference in fMRI
Sanne Roels, Ghent University; Han Bossier, Ghent University; Tom Loeys, Ghent University (Belgium); Beatrijs Moerkerke, Ghent University
9:20 AM
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Causal Inference for fMRI Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat
Michael Sobel, Columbia University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
9:50 AM
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Statistical Challenges of Resting-State fMRI
Gina M. D'Angelo, Washington University
2:05 PM
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A Statistical Method for Predicting Clinical Outcomes Using Resting-State fMRI
Ying Guo, Emory University; Tian Dai, Emory University
2:45 PM
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