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  Absolute quantification of resting oxygen metabolism and metabolic reactivity during functional activation using QUO2 MRI

Gauthier, C., Desjardins-Crépeau, L., Madjar, C., Bherer, L., & Hoge, R. D. (2012). Absolute quantification of resting oxygen metabolism and metabolic reactivity during functional activation using QUO2 MRI. NeuroImage, 63(3), 1353-1363. doi:10.1016/j.neuroimage.2012.07.065.

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2012 GauthierAbsolute quantification of resting oxygen.pdf (Publisher version), 549KB
 
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 Creators:
Gauthier, Claudine1, 2, Author           
Desjardins-Crépeau, Laurence2, 3, Author
Madjar, Cécile2, Author
Bherer, Louis2, 3, Author
Hoge, Richard D.1, 2, Author
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1Department of Physiology, Institute of Biomedical Engineering, University of Montréal, QC, Canada, ou_persistent22              
2Centre de recherche de l'Institut universitaire de gériatrie de Montréal, QC, Canada, ou_persistent22              
3Department of Psychology, Université du Québec à Montréal (UQÀM), QC, Canada, ou_persistent22              

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Free keywords: Calibrated fMRI; Baseline oxygen use; Evoked oxidative metabolism; Stroop task; Hypercapnia; Hyperoxia
 Abstract: We have recently described an extension of calibrated MRI, which we term QUO2 (for QUantitative O2 imaging), providing absolute quantification of resting oxidative metabolism (CMRO2) and oxygen extraction fraction (OEF0). By combining BOLD, arterial spin labeling (ASL) and end-tidal O2 measurements in response to hypercapnia, hyperoxia and combined hyperoxia/hypercapnia manipulations, and the same MRI measurements during a task, a comprehensive set of vascular and metabolic measurements can be obtained using a generalized calibration model (GCM). These include the baseline absolute CBF in units of ml/100 g/min, cerebrovascular reactivity (CVR) in units of %Δ CBF/mm Hg, M in units of percent, OEF0 and CMRO2 at rest in units of μmol/100 g/min, percent evoked CMRO2 during the task and n, the value for flow-metabolic coupling associated with the task. The M parameter is a calibration constant corresponding to the maximal BOLD signal that would occur upon removal of all deoxyhemoglobin. We have previously shown that the GCM provides estimates of the above resting parameters in grey matter that are in excellent agreement with literature. Here we demonstrate the method using functionally-defined regions-of-interest in the context of an activation study. We applied the method under high and low signal-to-noise conditions, corresponding respectively to a robust visual stimulus and a modified Stroop task. The estimates fall within the physiological range of literature values, showing the general validity of the GCM approach to yield non-invasively an extensive array of relevant vascular and metabolic parameters.

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Language(s): eng - English
 Dates: 2012-07-232012-08-152012-11-15
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2012.07.065
PMID: 22986357
Other: Epub 2012
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 63 (3) Sequence Number: - Start / End Page: 1353 - 1363 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166