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Activity Number:
79 - Section on Statistics in Imaging A.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Monday, August 8, 2022 : 7:00 AM to 8:15 AM
Sponsor: Section on Statistics in Imaging
Abstract #321030
Title: Statistical Methods for Uncertainty Quantification and Information Extraction from Neuroimaging Data
Author(s): Juna Goo* and Guanqun Cao and Chitrak Banerjee and LYUDMILA SAKHANENKO
Companies: Boise State University and Auburn University and Wells Fargo N A and Michigan State University
Keywords: Functional MRI; Diffusion tensor imaging; HARDI; Tractography; Brain Connectivity

Neuroimaging data is rich in information but notoriously has a lot of noise. We will focus on recent statistical methodologies for tractography and connectivity tests based on Diffusion tensor imaging data and on uncertainty quantification for Functional MRI data. These methods are important for the early diagnosis of brain disorders and diseases such as Alzheimer's disease. Optimal functional data classification, Minimax lower bound for High order tensor models, and Statistical tractography will all be discussed.

Authors who are presenting talks have a * after their name.

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