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Activity Number: 47 - Recent Development in Imaging Statistics
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics in Imaging
Abstract #313496
Title: Permutation Testing for Function-On-Scalar Regression with PET Binding Data Along a Brain Tract
Author(s): Denise Shieh* and Todd Ogden
Companies: Columbia University and Columbia University
Keywords: permutation; function-on-scalar regression
Abstract:

In positron emission tomography (PET) studies, quantification of serotonin transporter (5-HTT) binding is examined through binding potential, a common outcome measure used to determine the amount of radioligand uptake in the brain. Our data consist of measures of the 5-HTT binding at many locations along a tract that follows serotonergic axons. We seek to characterize the binding patterns along this tract and also to determine how such patterns differ between control subjects and depressed patients. Due to the nature of our data, we utilize function-on-scalar regression modeling to make optimal use of our observed functional data. Inference on both main effects (position along the tract; diagnostic group) and their interactions is made without making distributional assumptions according to permutation testing. We also introduce permutation strategies for making inference on interaction terms in function-on-scalar regression.


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