KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2015-05-11
Print Publication Date2015
Permanent link to this recordhttp://hdl.handle.net/10754/552988
MetadataShow full item record
AbstractFunctional magnetic resonance imaging (fMRI) allows the mapping of the brain activation through measurements of the Blood Oxygenation Level Dependent (BOLD) contrast. The characterization of the pathway from the input stimulus to the output BOLD signal requires the selection of an adequate hemodynamic model and the satisfaction of some specific conditions while conducting the experiment and calibrating the model. This paper, focuses on the identifiability of the Balloon hemodynamic model. By identifiability, we mean the ability to estimate accurately the model parameters given the input and the output measurement. Previous studies of the Balloon model have somehow added knowledge either by choosing prior distributions for the parameters, freezing some of them, or looking for the solution as a projection on a natural basis of some vector space. In these studies, the identification was generally assessed using event-related paradigms. This paper justifies the reasons behind the need of adding knowledge, choosing certain paradigms, and completing the few existing identifiability studies through a global sensitivity analysis of the Balloon model in the case of blocked design experiment.
CitationA Sensitivity Analysis of fMRI Balloon Model 2015, 2015:1 Computational and Mathematical Methods in Medicine
PubMed Central IDPMC4442414
- Bayesian model comparison in nonlinear BOLD fMRI hemodynamics.
- Authors: Jacobsen DJ, Hansen LK, Madsen KH
- Issue date: 2008 Mar
- Estimation of the hemodynamic response of fMRI Data using RBF neural network.
- Authors: Luo H, Puthusserypady S
- Issue date: 2007 Aug
- Using nonlinear models in fMRI data analysis: model selection and activation detection.
- Authors: Deneux T, Faugeras O
- Issue date: 2006 Oct 1
- A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals.
- Authors: Riera JJ, Watanabe J, Kazuki I, Naoki M, Aubert E, Ozaki T, Kawashima R
- Issue date: 2004 Feb
- Modeling the hemodynamic response to brain activation.
- Authors: Buxton RB, Uludağ K, Dubowitz DJ, Liu TT
- Issue date: 2004