
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: fMRI returned 34 record(s)
|
|
Sunday, 07/31/2016
|
A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data
Mohsen Bahrami, Virginia Tech; Paul Laurienti, Wake Forest School of Medicine; Thomas Arcury, Wake Forest School of Medicine; Sean Simpson, Wake Forest School of Medicine
|
Joint Analysis of Brain Imaging Data and Genetics Data
Wenxuan Zhong, University of Georgia
3:20 PM
|
Spatially Partitioning Curves Based on Functional Covariates, with Two Applications
Zhen Zhang, The University of Chicago
4:05 PM
|
A Novel Group-Fused Lasso with Applications to Dynamic Brain Connectivity
David Degras, DePaul University; Martin Lindquist, The Johns Hopkins University
4:05 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 at Irvine; S. Balqis Samdin, Universiti Teknologi Malaysia; Sh-Hussain Salleh, Universiti Teknologi Malaysia
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
|
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
4:35 PM
|
Wavelet Analysis of Large-P-Small-N Cross-Correlation Matrices in fMRI Studies of Neuroplasticity
Jiayi Wu; Sam Efromovich, The University of Texas at Dallas
4:50 PM
|
A Multiresolution Model for Activation and Connectivity in fMRI Data with Functional Estimation of the Haemodynamic Response
Stefano Castruccio, Newcastle University; Hernando Ombao, University of California at Irvine; Thomas Theussl, King Abdullah University of Science and Technology; Marc Genton, KAUST
4:55 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
|
|
Tuesday, 08/02/2016
|
Group Discrimination Using Sparse Network Modeling of Resting-State fMRI
Maria Puhl, University of Tulsa; William Coberly, University of Tulsa; Alejandro Hernandez, University of Tulsa; Kyle Simmons, Laureate Institute for Brain Research
|
An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large-Scale Brain Networks Using Partial Correlation
Yikai Wang, Emory University
|
Non-Gaussian Penalized PARAFAC Analysis of fMRI Data
Jingsai Liang; Don Hong, Middle Tennessee State University
|
Power Analysis for fMRI Studies: Demands and Difficulties
Jeanette A. Mumford, University of Wisconsin - Madison
8:35 AM
|
Coordinate-Based Meta-Analysis Techniques: Assessing Publication Bias
Freya Acar, Ghent University; Ruth Seurinck, Ghent University; Simone Kuehn, MPI for Human Development; Beatrijs Moerkerke, Ghent University
8:50 AM
|
New Tools and Methods for Power Analyses in Neuroimaging
Joke Durnez, Stanford University
8:55 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
|
Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM
|
Non-Gaussian Penalized PARAFAC Analysis of fMRI Data
Jingsai Liang; Don Hong, Middle Tennessee State University
11:30 AM
|
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
|
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
|
An Assessment of Statistical Models of Complex-Valued fMRI Data
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel Rowe, Marquette University
8:35 AM
|
SENSE-Induced Correlation in Simultaneous Multi-Slice fMRI
Daniel Rowe, Marquette University
9:55 AM
|
An Investigation of a Quadratic Design Criterion for Estimation of the Hemodynamic Response Function
Darcie Delzell, Wheaton College
10:50 AM
|
Image Registration Techniques Alter Image Properties in fMRI
Kevin Liu, Marquette University; Daniel Rowe, Marquette University
11:05 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 at Berkeley; Beatrijs Moerkerke, Ghent University
11:20 AM
|
Improving the Balance Between Sensitivity and Specificity for Functional Localization in fMRI Data
Jasper Degryse, Ghent University; Ruth Seurinck, Ghent University; Beatrijs Moerkerke, Ghent University
11:35 AM
|
|
|