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Winter2017 - Brain Energy Metabolism with PPP

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This model is part of the following publication:

Mathematical Analysis of the Influence of Brain Metabolism on the BOLD signal in Alzheimer's Disease
Authors: Felix Winter, Catrin Bludszuweit-Philipp, Olaf Wolkenhauer

submitted for publication
Related Publication
  • Mathematical analysis of the influence of brain metabolism on the BOLD signal in Alzheimer's disease
  • Felix Winter1, 2, Catrin Bludszuweit-Philipp1 and Olaf Wolkenhauer2, 3
  • Journal of Cerebral Blood Flow & Metabolism
  • 1ASD Advanced Simulation and Design GmbH, Rostock, Germany 2Department of Systems Biology and Bioinformatics, Rostock University, Rostock, Germany 3Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa
  • Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a standard clinical tool for the detection of brain activation. In Alzheimer’s disease (AD), task-related and resting state fMRI have been used to detect brain dysfunction. It has been shown that the shape of the BOLD response is affected in early AD. To correctly interpret these changes, the mechanisms responsible for the observed behaviour need to be known. The parameters of the canonical hemodynamic response function (HRF) commonly used in the analysis of fMRI data have no direct biological interpretation and cannot be used to answer this question. We here present a model that allows relating AD-specific changes in the BOLD shape to changes in the underlying energy metabolism. According to our findings, the classic view that differences in the BOLD shape are only attributed to changes in strength and duration of the stimulus does not hold. Instead, peak height, peak timing and full width at half maximum are sensitive to changes in the reaction rate of several metabolic reactions. Our systems-theoretic approach allows the use of patient-specific clinical data to predict dementia- driven changes in the HRF, which can be used to improve the results of fMRI analyses in AD patients.
Felix Winter, administrator

Metadata information

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Model files

BIOMD0000000627.xml.origin SBML L2V4 representation of Winter2017 - Brain Energy Metabolism with PPP 453.26 KB Preview | Download

Additional files

BIOMD0000000627_SED-ML.xml This SED-ML file allows you to reproduce the curation result (Fig 3), for example, by loading it into SED-ML Web Tools ( 3.20 KB Preview | Download
fig3.png The originally additional file provided by the submitter 59.04 KB Preview | Download
MODEL1603240000.cps This Copasi file with the simulation settings can be used to reproduce the curation result (Fig 3) by opening the file in Copasi. 505.60 KB Preview | Download

  • Model originally submitted by : Felix Winter
  • Submitted: Mar 24, 2016 8:58:10 PM
  • Last Modified: Dec 21, 2018 6:20:28 PM
  • Version: 3 public model Download this version
    • Submitted on: Dec 21, 2018 6:20:28 PM
    • Submitted by: administrator
    • With comment: Include the additional files provided by the submitter in the original submission: fig3.png, BIOMD0000000627_SED-ML.xml, MODEL1603240000.cps
  • Version: 2 public model Download this version
    • Submitted on: Apr 7, 2017 6:55:35 PM
    • Submitted by: Felix Winter
    • With comment: Current version of Winter2017 - Brain Energy Metabolism with PPP
  • Version: 1 public model Download this version
    • Submitted on: Mar 24, 2016 8:58:10 PM
    • Submitted by: Felix Winter
    • With comment: Original import of Winter2016_Brain_Energy_Metabolism_with_PPP
Curator's comment:
(added: 13 Mar 2017, 12:24:25, updated: 13 Mar 2017, 12:24:25)
Figure 3 of the reference publication has been reproduced here. The model was simulated using Copasi, and the plots were generated using Gnuplot. To import the SBML model in Copasi without any issues, the latest development version (atleast Build 144) is needed. The SED-ML and Copasi file to reproduce the above figure can be accessed from the below link.