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

Blockley, N; Griffeth, V

Documentation:: 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.

Further details can be found in readme.txt.

This dataset is a part of 'Sources of systematic error in calibrated BOLD based mapping of baseline oxygen extraction fractio...
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APA Style

Blockley, N., & Griffeth, V. (2015). A tool for investigating systematic bias in BOLD based MRI methods: An implementation of the detailed BOLD signal model. University of Oxford.

MLA Style

Blockley, N, and V Griffeth. A Tool for Investigating Systematic Bias in BOLD Based MRI Methods: An Implementation of the Detailed BOLD Signal Model. University of Oxford, 2015.

Chicago Style

Blockley, N, and V Griffeth. 2015. A Tool for Investigating Systematic Bias in BOLD Based MRI Methods: An Implementation of the Detailed BOLD Signal Model. University of Oxford.
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Files:: readme.txt

(plain, 2.1KB, Terms of use)

simBOLD.m

(bin, 10.8KB, Terms of use)

simFigs.m

(bin, 9.3KB, Terms of use)

Authors/Creators

+ Blockley, N More by this author/creator

Department:: Nuffield Department of Clinical Neurosciences
Role:: Creator

+ Griffeth, V More by this author/creator

Department:: University of California San Diego
Role:: Creator

+ National Institutes of Health, National Institute of Mental Health More from this funder

Funding agency for:: Griffeth, V
Grant:: MH095298

+ Engineering and Physical Sciences Research Council More from this funder

Grant:: EP/K025716/1

Publisher:: University of Oxford
Publication date:: 2015
DOI:: 10.5287/bodleian:xp68kh690
Data collected:: 2014 - 2014

Language:: English
Keywords:: oxygen metabolism

hypercapnia

hyperoxia

FMRI

oxygen extraction fraction

calibrated BOLD
Subjects:: Magnetic resonance imaging

Neurosciences
Pubs id:: 1480050
UUID:: uuid:cbee3305-4b21-4445-b2e0-5f86187c82d6
Local pid:: pubs:1480050
Deposit date:: 2015-06-29
ARK identifier:: ark:/29072/ora_cbee33054b214445b2e05f86187c82d6

Related item:: A theoretical framework for estimating cerebral oxygen metabolism changes using the calibrated-BOLD method: Modeling the effects of blood volume distribution, hematocrit, oxygen extraction fraction, and tissue signal properties on the BOLD signal
Description:: Calibrated blood oxygenation level dependent (BOLD) imaging, a technique used to measure changes in cerebral O2 metabolism, depends on an accurate model of how the BOLD signal is affected by the mismatch between changes in cerebral blood flow (CBF) and cerebral metabolic rate of O2 (CMRO2). However, other factors such as the cerebral blood volume (CBV) distribution at rest and with activation also affect the BOLD signal. The Davis model originally proposed for calibrated BOLD studies (Davis et al., 1998) is widely used because of its simplicity, but it assumes CBV changes are uniformly distributed across vascular compartments, neglects intravascular signal changes, and ignores blood-tissue signal exchange effects as CBV increases and supplants tissue volume. More recent studies suggest that venous CBV changes are smaller than arterial changes, and that intravascular signal changes and CBV exchange effects can bias estimated CMRO2. In this paper, recent experimental results for the relationship between deoxyhemoglobin and BOLD signal changes are integrated in order to simulate the BOLD signal in detail by expanding a previous model to include a tissue compartment and three blood compartments rather than only the venous blood compartment. The simulated data were then used to test the accuracy of the Davis model of calibrated BOLD, demonstrating that the errors in estimated CMRO2 responses across the typical CBF-CMRO2 coupling range are modest despite the simplicity of the assumptions underlying the original derivation of the model. Nevertheless, the accuracy of the model can be improved by abandoning the original physical meaning of the two parameters alpha and beta and treating them as adjustable parameters that capture several physical effects. For a 3 Tesla field and a dominant arterial volume change with activation, the accuracy of the Davis model is improved with new values of alpha=0.14 and beta=0.91.

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Licence:: Open Data Commons Attribution License (ODC-By)

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

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