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A tool for investigating systematic bias in BOLD based MRI methods: An implementation of the detailed BOLD signal model

Abstract:

Sources of systematic error in calibrated BOLD based mapping of baseline oxygen extraction fraction.

Recently a new class of calibrated blood oxygen level dependent (BOLD) functional magnetic resonance imaging (MRI) methods were introduced to quantitatively measure the baseline oxygen extraction fraction (OEF). These methods rely on two respiratory challenges and a mathematical model of the resultant changes in the BOLD functional MRI signal to estimate the OEF. However, this mathe...

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Department:
Nuffield Department of Clinical Neurosciences
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Creator
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Department:
University of California San Diego
Role:
Creator
Publisher:
University of Oxford
Publication date:
2015
DOI:
Data collected:
2014 - 2014
Language:
English
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Format:
Digital
Documentation:
<p>The following code was developed using MATLAB R2014b during 2014 in order to investigate sources of systematic bias in calibrated BOLD functional MRI (fMRI) based mapping of the oxygen extraction fraction. However, this tool may be useful for improving our understanding of other BOLD based fMRI methods.</p> <p>Further details can be found in readme.txt.</p> <p>This dataset is a part of 'Sources of systematic error in calibrated BOLD based mapping of baseline oxygen extraction fraction' -... Expand documentation

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