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Multiparametric measurement of cerebral physiology using calibrated fMRI

Bright, Molly G.; Croal, Paula L.; Blockley, Nicholas P.; Bulte, Daniel P.


Molly G. Bright

Paula L. Croal

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Assistant Professor

Daniel P. Bulte


The ultimate goal of calibrated fMRI is the quantitative imaging of oxygen metabolism (CMRO2), and this has been the focus of numerous methods and approaches. However, one underappreciated aspect of this quest is that in the drive to measure CMRO2, many other physiological parameters of interest are often acquired along the way. This can significantly increase the value of the dataset, providing greater information that is clinically relevant, or detail that can disambiguate the cause of signal variations. This can also be somewhat of a double-edged sword: calibrated fMRI experiments combine multiple parameters into a physiological model that requires multiple steps, thereby providing more opportunity for error propagation and increasing the noise and error of the final derived values. As with all measurements, there is a trade-off between imaging time, spatial resolution, coverage, and accuracy. In this review, we provide a brief overview of the benefits and pitfalls of extracting multiparametric measurements of cerebral physiology through calibrated fMRI experiments.


Bright, M. G., Croal, P. L., Blockley, N. P., & Bulte, D. P. (2019). Multiparametric measurement of cerebral physiology using calibrated fMRI. NeuroImage, 187, 128-144.

Journal Article Type Article
Acceptance Date Dec 15, 2017
Online Publication Date Dec 19, 2017
Publication Date Feb 15, 2019
Deposit Date Dec 10, 2018
Publicly Available Date Dec 20, 2018
Journal NeuroImage
Print ISSN 1053-8119
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 187
Pages 128-144
Keywords Cognitive Neuroscience; Neurology
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