Literature DB >> 3871783

What is the correct value for the brain--blood partition coefficient for water?

P Herscovitch, M E Raichle.   

Abstract

A knowledge of the brain-blood partition coefficient (lambda) for water is usually required for the measurement of CBF with [15O]water. The currently accepted value for whole-brain lambda, 0.95-0.96 ml/g, calculated from brain and blood water content data, is incorrect because in the calculation, the blood water content was not adjusted for the density of blood. The correct value is 0.90 ml/g. Variations in brain or blood water content affect lambda. Thus, lambda changes during development of the brain and varies regionally in it, even among different gray matter structures, owing to variation in brain water content. In addition, lambda would be expected to vary with the hematocrit, owing to changes in blood water content. The impact of using an incorrect value for lambda will depend on the sensitivity of the CBF measurement technique used to errors in lambda.

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Year:  1985        PMID: 3871783     DOI: 10.1038/jcbfm.1985.9

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  257 in total

1.  Regional cerebral blood flow and BOLD responses in conscious and anesthetized rats under basal and hypercapnic conditions: implications for functional MRI studies.

Authors:  Kenneth Sicard; Qiang Shen; Mathew E Brevard; Ross Sullivan; Craig F Ferris; Jean A King; Timothy Q Duong
Journal:  J Cereb Blood Flow Metab       Date:  2003-04       Impact factor: 6.200

2.  MRI in experimental stroke.

Authors:  Timothy Q Duong
Journal:  Methods Mol Biol       Date:  2011

3.  Contributions of dynamic venous blood volume versus oxygenation level changes to BOLD fMRI.

Authors:  Xiaopeng Zong; Tae Kim; Seong-Gi Kim
Journal:  Neuroimage       Date:  2012-02-28       Impact factor: 6.556

4.  MR perfusion imaging by alternate slab width inversion recovery arterial spin labeling (AIRASL): a technique with higher signal-to-noise ratio at 3.0 T.

Authors:  Yasuhiro Fujiwara; Hirohiko Kimura; Tosiaki Miyati; Hiroyuki Kabasawa; Tsuyoshi Matsuda; Yoshiyuki Ishimori; Isao Yamaguchi; Toshiki Adachi
Journal:  MAGMA       Date:  2012-01-13       Impact factor: 2.310

5.  Comparison of relative cerebral blood flow maps using pseudo-continuous arterial spin labeling and single photon emission computed tomography.

Authors:  Peiying Liu; Jinsoo Uh; Michael D Devous; Bryon Adinoff; Hanzhang Lu
Journal:  NMR Biomed       Date:  2011-12-02       Impact factor: 4.044

6.  Longitudinal reproducibility and accuracy of pseudo-continuous arterial spin-labeled perfusion MR imaging in typically developing children.

Authors:  Varsha Jain; Jeffrey Duda; Brian Avants; Mariel Giannetta; Sharon X Xie; Timothy Roberts; John A Detre; Hallam Hurt; Felix W Wehrli; Danny J J Wang
Journal:  Radiology       Date:  2012-05       Impact factor: 11.105

Review 7.  Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals.

Authors:  Seong-Gi Kim; Seiji Ogawa
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-07       Impact factor: 6.200

8.  Blood flow MRI of the human retina/choroid during rest and isometric exercise.

Authors:  Yi Zhang; Oscar San Emeterio Nateras; Qi Peng; Carlos A Rosende; Timothy Q Duong
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-06-28       Impact factor: 4.799

9.  Arterial spin labeling measurements of cerebral perfusion territories in experimental ischemic stroke.

Authors:  Renata F Leoni; Fernando F Paiva; Byeong-Teck Kang; Erica C Henning; George C Nascimento; Alberto Tannús; Dráulio B De Araújo; Afonso C Silva
Journal:  Transl Stroke Res       Date:  2011-11-16       Impact factor: 6.829

10.  Rapid measurement of regional cerebral blood flow in the baboon using 15O-labelled water and dynamic positron emission tomography.

Authors:  E Pinard; B Mazoyer; B Verrey; S Pappata; C Crouzel
Journal:  Med Biol Eng Comput       Date:  1993-09       Impact factor: 2.602

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