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    A Sensitivity Analysis of fMRI Balloon Model

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    Type
    Article
    Authors
    Zayane, Chadia cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-05-11
    Online Publication Date
    2015-05-11
    Print Publication Date
    2015
    Permanent link to this record
    http://hdl.handle.net/10754/552988
    
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    Abstract
    Functional 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.
    Citation
    A Sensitivity Analysis of fMRI Balloon Model 2015, 2015:1 Computational and Mathematical Methods in Medicine
    Publisher
    Hindawi Limited
    Journal
    Computational and Mathematical Methods in Medicine
    DOI
    10.1155/2015/425475
    PubMed ID
    26078776
    PubMed Central ID
    PMC4442414
    Additional Links
    http://www.hindawi.com/journals/cmmm/2015/425475/
    ae974a485f413a2113503eed53cd6c53
    10.1155/2015/425475
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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