Literature DB >> 19598180

BOLD-specific cerebral blood volume and blood flow changes during neuronal activation in humans.

J Jean Chen1, G Bruce Pike.   

Abstract

To understand and predict the blood-oxygenation level-dependent (BOLD) fMRI signal, an accurate knowledge of the relationship between cerebral blood flow (DeltaCBF) and volume (DeltaCBV) changes is critical. Currently, this relationship is widely assumed to be characterized by Grubb's power-law, derived from primate data, where the power coefficient (alpha) was found to be 0.38. The validity of this general formulation has been examined previously, and an alpha of 0.38 has been frequently cited when calculating the cerebral oxygen metabolism change (DeltaCMRo(2)) using calibrated BOLD. However, the direct use of this relationship has been the subject of some debate, since it is well established that the BOLD signal is primarily modulated by changes in 'venous' CBV (DeltaCBV(v), comprising deoxygenated blood in the capillary, venular, and to a lesser extent, in the arteriolar compartments) instead of total CBV, and yet DeltaCBV(v) measurements in humans have been extremely scarce. In this work, we demonstrate reproducible DeltaCBV(v) measurements at 3 T using venous refocusing for the volume estimation (VERVE) technique, and report on steady-state DeltaCBV(v) and DeltaCBF measurements in human subjects undergoing graded visual and sensorimotor stimulation. We found that: (1) a BOLD-specific flow-volume power-law relationship is described by alpha = 0.23 +/- 0.05, significantly lower than Grubb's constant of 0.38 for total CBV; (2) this power-law constant was not found to vary significantly between the visual and sensorimotor areas; and (3) the use of Grubb's value of 0.38 in gradient-echo BOLD modeling results in an underestimation of DeltaCMRo(2).

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Year:  2009        PMID: 19598180     DOI: 10.1002/nbm.1411

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  60 in total

1.  Indication of BOLD-specific venous flow-volume changes from precisely controlled hyperoxic vs. hypercapnic calibration.

Authors:  Clarisse I Mark; G Bruce Pike
Journal:  J Cereb Blood Flow Metab       Date:  2011-12-14       Impact factor: 6.200

Review 2.  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

3.  Temporal dynamics and spatial specificity of arterial and venous blood volume changes during visual stimulation: implication for BOLD quantification.

Authors:  Tae Kim; Seong-Gi Kim
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-22       Impact factor: 6.200

4.  Three-dimensional acquisition of cerebral blood volume and flow responses during functional stimulation in a single scan.

Authors:  Ying Cheng; Peter C M van Zijl; James J Pekar; Jun Hua
Journal:  Neuroimage       Date:  2014-08-23       Impact factor: 6.556

Review 5.  IRON fMRI measurements of CBV and implications for BOLD signal.

Authors:  Joseph B Mandeville
Journal:  Neuroimage       Date:  2012-01-16       Impact factor: 6.556

6.  Cerebral blood volume changes during brain activation.

Authors:  Steffen Norbert Krieger; Markus Nikolar Streicher; Robert Trampel; Robert Turner
Journal:  J Cereb Blood Flow Metab       Date:  2012-05-09       Impact factor: 6.200

Review 7.  The physics of functional magnetic resonance imaging (fMRI).

Authors:  Richard B Buxton
Journal:  Rep Prog Phys       Date:  2013-09-04

8.  Age-related changes in brain hemodynamics; A calibrated MRI study.

Authors:  J B De Vis; J Hendrikse; A Bhogal; A Adams; L J Kappelle; E T Petersen
Journal:  Hum Brain Mapp       Date:  2015-07-14       Impact factor: 5.038

9.  An introduction to normalization and calibration methods in functional MRI.

Authors:  Thomas T Liu; Gary H Glover; Bryon A Mueller; Douglas N Greve; Gregory G Brown
Journal:  Psychometrika       Date:  2012-12-29       Impact factor: 2.500

10.  Interpreting oxygenation-based neuroimaging signals: the importance and the challenge of understanding brain oxygen metabolism.

Authors:  Richard B Buxton
Journal:  Front Neuroenergetics       Date:  2010-06-17
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