Slug: 10.36903/physiome.21714863
DOI: 10.36903/physiome.21714863
SubmissionID: 8205ce26-e1d3-4964-a112-f9e89a7a1e03
ManuscriptID: S000020
Title: Reproducibility Study for a Computational Model of the Neurovascular Coupling Unit
Date: 2023-01-11
SubmissionDate: 2022-09-14
PublishDate: 2023-01-11
LastPublishDate: 2023-01-11
Curator: David Nickerson
Kind: Original Article
PubAuthors: Dempsey, S.
    Cedersund, G.
    Engström, M.
    Talou, G. M.
    Safaei, S.
PubAuthorsORCID: 0000-0003-1738-3047
    0000-0001-9386-0568
    0000-0002-7221-3430
    0000-0002-5208-992X
    0000-0001-5734-243X
PMRURL: https://models.physiomeproject.org/workspace/8a2
PrimaryPaperName: A quantitative analysis of cell-specific contributions and the role of anesthetics to the neurovascular coupling. 2020
PrimaryPaperURL: https://doi.org/10.1016/j.neuroimage.2020.116827
FulltextURL: https://physiome.figshare.com/articles/journal_contribution/Reproducibility_Study_for_a_Computational_Model_of_the_Neurovascular_Coupling_Unit/21714863
ArchiveURL: https://physiome.figshare.com/articles/journal_contribution/Reproducibility_Study_for_a_Computational_Model_of_the_Neurovascular_Coupling_Unit/21714863
Abstract: The mechanistic model of neurovascular coupling was developed and studied by Sten et al. (2020). This model describes and predicts the arteriolar dilation data of mice under various stimulations while anaesthetised and awake. We reconstructed the model in CellML, using a modular approach for each neuronal pathway, and successfully reproduced the original experiments (see the figures in this article and Sten et al. (2020)). With the success of the result reproduction, the CellML model can now be injected into other OpenCOR workflows to obtain a mechanistic hemodynamic response function of neurovascular coupling arteriolar dilation.