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249 Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-155
Multivariate Methods for Neuroimaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Andrew Brown, Clemson University
8:35 AM Spatial Auto-Regressive Model for Von-Mises Fisher Distributed Directional Data
Zhou Lan, Yale School of Medicine; Arkaprava Roy, University of Florida
8:50 AM Statistical Tractography: An Integral Curve Estimation for DTI/HARDI
LYUDMILA SAKHANENKO, Michigan State University
9:05 AM Conditional Correlation Models with Association Size
Danni Tu, University of Pennsylvania; Bridget Mahony, National Institutes of Mental Health; Tyler M. Moore, University of Pennsylvania; Maxwell A. Bertolero, University of Pennsylvania; Aaron F. Alexander-Bloch, University of Pennsylvania; Ruben Gur, University of Pennsylvania; Danielle S. Bassett, University of Pennsylvania; Theodore D. Satterthwaite, University of Pennsylvania; Armin Raznahan, National Institutes of Mental Health; Russell Shinohara, University of Pennsylvania
9:20 AM Random Covariance Model for Task-Based fMRI Corroborates and Reveals Connections in Neurofeedback Study of Adolescent Depression
Lin Zhang, University of Minnesota; Karina Quevedo, University of Minnesota; Quinton Neville, University of Minnesota
9:35 AM A General Framework for Repeated Measures Sparse Bayesian Independent Component Analysis with Applications to Multi-Center and Longitudinal Imaging Studies
Joshua Lukemire, Emory University; Ying Guo, Emory University
9:50 AM A Full Bayesian Approach to SENSE Image Reconstruction Increases Brain Tissue Contrast and Reduces Noise for More Accurate Statistical Analysis
Chase J Sakitis, Marquette University; Daniel B Rowe, Marquette University; Andrew Brown, Clemson University
10:05 AM Floor Discussion