Literature DB >> 19165902

Comparison of hypercapnia-based calibration techniques for measurement of cerebral oxygen metabolism with MRI.

Daniel P Bulte1, Knut Drescher, Peter Jezzard.   

Abstract

MRI may be used to measure fractional changes in cerebral oxygen metabolism via a metabolic model. One step commonly used in this measurement is calibration with image data acquired during hypercapnia, which is a state of increased CO2 content of the blood. In this study some commonly used hypercapnia-inducing stimuli were compared to assess their suitability for the calibration step. The following stimuli were investigated: (a) inspiration of a mixture of 4% CO2, 21% O2 and balance N2; (b) 30-s breath holding; and (c) inspiration of a mixture of 4% CO2 and 96% O2 (i.e., carbogen). Measurements of BOLD and cerebral blood flow made on nine subjects during the different hypercapnia-inducing stimuli showed that each stimulus leads to a different calibration of the model. We argue that of the aforementioned stimuli, inspiration of 4% CO2, 21% O2 and balance N2 should be preferred for the calibration as the other stimuli produce responses that violate assumptions of the metabolic model. Copyright 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19165902     DOI: 10.1002/mrm.21862

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  34 in total

1.  Rapid magnetic resonance measurement of global cerebral metabolic rate of oxygen consumption in humans during rest and hypercapnia.

Authors:  Varsha Jain; Michael C Langham; Thomas F Floyd; Gaurav Jain; Jeremy F Magland; Felix W Wehrli
Journal:  J Cereb Blood Flow Metab       Date:  2011-04-20       Impact factor: 6.200

2.  Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2 ) using quantitative susceptibility mapping (QSM).

Authors:  Jingwei Zhang; Tian Liu; Ajay Gupta; Pascal Spincemaille; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2014-09-26       Impact factor: 4.668

3.  Relationships between hypercarbic reactivity, cerebral blood flow, and arterial circulation times in patients with moyamoya disease.

Authors:  Manus J Donahue; Michael Ayad; Ryan Moore; Matthias van Osch; Robert Singer; Paul Clemmons; Megan Strother
Journal:  J Magn Reson Imaging       Date:  2013-02-25       Impact factor: 4.813

Review 4.  Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review.

Authors:  Peiying Liu; Jill B De Vis; Hanzhang Lu
Journal:  Neuroimage       Date:  2018-03-21       Impact factor: 6.556

5.  Calibrating the BOLD response without administering gases: comparison of hypercapnia calibration with calibration using an asymmetric spin echo.

Authors:  Nicholas P Blockley; Valerie E M Griffeth; Aaron B Simon; David J Dubowitz; Richard B Buxton
Journal:  Neuroimage       Date:  2014-10-14       Impact factor: 6.556

6.  Dependence of the MR signal on the magnetic susceptibility of blood studied with models based on real microvascular networks.

Authors:  Xiaojun Cheng; Avery J L Berman; Jonathan R Polimeni; Richard B Buxton; Louis Gagnon; Anna Devor; Sava Sakadžić; David A Boas
Journal:  Magn Reson Med       Date:  2019-01-18       Impact factor: 4.668

Review 7.  The Utility of Cerebral Blood Flow as a Biomarker of Preclinical Alzheimer's Disease.

Authors:  Chelsea C Hays; Zvinka Z Zlatar; Christina E Wierenga
Journal:  Cell Mol Neurobiol       Date:  2016-02-22       Impact factor: 5.046

8.  Evidence that neurovascular coupling underlying the BOLD effect increases with age during childhood.

Authors:  Vincent J Schmithorst; Jennifer Vannest; Gregory Lee; Luis Hernandez-Garcia; Elena Plante; Akila Rajagopal; Scott K Holland
Journal:  Hum Brain Mapp       Date:  2014-08-19       Impact factor: 5.038

9.  Quantitative β mapping for calibrated fMRI.

Authors:  Christina Y Shu; Basavaraju G Sanganahalli; Daniel Coman; Peter Herman; Douglas L Rothman; Fahmeed Hyder
Journal:  Neuroimage       Date:  2015-11-24       Impact factor: 6.556

Review 10.  MRI techniques to measure arterial and venous cerebral blood volume.

Authors:  Jun Hua; Peiying Liu; Tae Kim; Manus Donahue; Swati Rane; J Jean Chen; Qin Qin; Seong-Gi Kim
Journal:  Neuroimage       Date:  2018-02-16       Impact factor: 6.556

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