Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation

We recently described rapid quantitative pharmacodynamic imaging, a novel method for estimating sensitivity of a biological system to a drug. We tested its accuracy in simulated biological signals with varying receptor sensitivity and varying levels of random noise, and presented initial proof-of-co...

Full description

Bibliographic Details
Main Authors:	Koller, Jonathan M., Vachon, M. Jonathan, Bretthorst, G. Larry, Black, Kevin J.
Format:	Online
Language:	English
Published:	Frontiers Media S.A. 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825616/

id	pubmed-4825616
recordtype	oai_dc
spelling	pubmed-48256162016-04-18 Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation Koller, Jonathan M. Vachon, M. Jonathan Bretthorst, G. Larry Black, Kevin J. Neuroscience We recently described rapid quantitative pharmacodynamic imaging, a novel method for estimating sensitivity of a biological system to a drug. We tested its accuracy in simulated biological signals with varying receptor sensitivity and varying levels of random noise, and presented initial proof-of-concept data from functional MRI (fMRI) studies in primate brain. However, the initial simulation testing used a simple iterative approach to estimate pharmacokinetic-pharmacodynamic (PKPD) parameters, an approach that was computationally efficient but returned parameters only from a small, discrete set of values chosen a priori. Here we revisit the simulation testing using a Bayesian method to estimate the PKPD parameters. This improved accuracy compared to our previous method, and noise without intentional signal was never interpreted as signal. We also reanalyze the fMRI proof-of-concept data. The success with the simulated data, and with the limited fMRI data, is a necessary first step toward further testing of rapid quantitative pharmacodynamic imaging. Frontiers Media S.A. 2016-04-08 /pmc/articles/PMC4825616/ /pubmed/27092045 http://dx.doi.org/10.3389/fnins.2016.00144 Text en Copyright © 2016 Koller, Vachon, Bretthorst and Black. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Koller, Jonathan M. Vachon, M. Jonathan Bretthorst, G. Larry Black, Kevin J.
spellingShingle	Koller, Jonathan M. Vachon, M. Jonathan Bretthorst, G. Larry Black, Kevin J. Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
author_facet	Koller, Jonathan M. Vachon, M. Jonathan Bretthorst, G. Larry Black, Kevin J.
author_sort	Koller, Jonathan M.
title	Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
title_short	Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
title_full	Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
title_fullStr	Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
title_full_unstemmed	Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation
title_sort	rapid quantitative pharmacodynamic imaging with bayesian estimation
description	We recently described rapid quantitative pharmacodynamic imaging, a novel method for estimating sensitivity of a biological system to a drug. We tested its accuracy in simulated biological signals with varying receptor sensitivity and varying levels of random noise, and presented initial proof-of-concept data from functional MRI (fMRI) studies in primate brain. However, the initial simulation testing used a simple iterative approach to estimate pharmacokinetic-pharmacodynamic (PKPD) parameters, an approach that was computationally efficient but returned parameters only from a small, discrete set of values chosen a priori. Here we revisit the simulation testing using a Bayesian method to estimate the PKPD parameters. This improved accuracy compared to our previous method, and noise without intentional signal was never interpreted as signal. We also reanalyze the fMRI proof-of-concept data. The success with the simulated data, and with the limited fMRI data, is a necessary first step toward further testing of rapid quantitative pharmacodynamic imaging.
publisher	Frontiers Media S.A.
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825616/
_version_	1613564123336933376

Rapid Quantitative Pharmacodynamic Imaging with Bayesian Estimation

Similar Items