Quantifying the Microvascular Origin of BOLD-fMRI from First Principles with Two-Photon Microscopy and an Oxygen-Sensitive Nanoprobe
Name
Gagnon-2015-Quantifying the Micr.pdf
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3.52 MB
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Checksum (MD5)
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Author(s)
Gagnon, Louis
Sakadzic, Sava
Lesage, Frederic
Musacchia, Joseph J.
Lefebvre, Joel
Fang, Qianqian
Yucel, Meryem A.
Evans, Karleyton C.
Mandeville, Emiri T.
Cohen-Adad, Julien
Date Issued
February 2015
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Gagnon, L., S. Sakad i , F. Lesage, J. J. Musacchia, J. Lefebvre, Q. Fang, M. A. Yucel, et al. “Quantifying the Microvascular Origin of BOLD-fMRI from First Principles with Two-Photon Microscopy and an Oxygen-Sensitive Nanoprobe.” Journal of Neuroscience 35, no. 8 (February 25, 2015): 3663–3675.
Version
Final published version
Abstract
The blood oxygenation level-dependent (BOLD) contrast is widely used in functional magnetic resonance imaging (fMRI) studies aimed at investigating neuronal activity. However, the BOLD signal reflects changes in blood volume and oxygenation rather than neuronal activity per se. Therefore, understanding the transformation of microscopic vascular behavior into macroscopic BOLD signals is at the foundation of physiologically informed noninvasive neuroimaging. Here, we use oxygen-sensitive two-photon microscopy to measure the BOLD-relevant microvascular physiology occurring within a typical rodent fMRI voxel and predict the BOLD signal from first principles using those measurements. The predictive power of the approach is illustrated by quantifying variations in the BOLD signal induced by the morphological folding of the human cortex. This framework is then used to quantify the contribution of individual vascular compartments and other factors to the BOLD signal for different magnet strengths and pulse sequences.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1523/jneurosci.3555-14.2015
