The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quantitative BOLD: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state
Open accessAbstract
Since Ogawa et al. (Proc Natl Acad Sci USA 1990;87:9868–9872) made the fundamental discovery of blood oxygenation level‐dependent (BOLD) contrast in MRI, most efforts have been directed toward the study of dynamic BOLD (i.e., temporal changes in the MRI signal during changes in brain activity). However, very little progress has been made in elucidating the nature of BOLD contrast during the resting or baseline state of the brain, which is important for understanding normal human performance because it accounts for most of the enormous energy budget of the brain. It is also crucial for deciphering the consequences of baseline‐state impairment by cerebral vascular diseases. The objective of this study was to develop a BOLD MR‐based method that allows quantitative evaluation of tissue hemodynamic parameters, such as the blood volume, deoxyhemoglobin concentration, and oxygen extraction fraction (OEF). The proposed method, which we have termed quantitative BOLD (qBOLD), is based on an MR signal model that incorporates prior knowledge about brain tissue composition and considers signals from gray matter (GM), white matter (WM), cerebrospinal fluid (CSF), and blood. A 2D gradient‐echo sampling of spin‐echo (GESSE) pulse sequence is used for the acquisition of the MRI signal. The method is applied to estimate the hemodynamic parameters of the normal human brain in the baseline state. Magn Reson Med 57:115–126, 2007. © 2006 Wiley‐Liss, Inc.
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Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Neurovascular regulation in the normal brain and in Alzheimer's disease
Iadecola, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1387 · Cited by 2,213
Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K. (1982) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(82)90333-6 · Cited by 1,134
Cited by
Pinto-Sanchez, M. I., Hall, G. B., Ghajar, K., Nardelli, A., Bolino, C., Lau, J. T., Martin, F.-P., Cominetti, O., Welsh, C., Rieder, A., et al. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.05.003 · Cited by 821
Uludağ, K., Müller-Bierl, B., & Uğurbil, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.051 · Cited by 450
Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity
Tardif, C. L., Gauthier, C. J., Steele, C. J., Bazin, P.-L., Schäfer, A., Schaefer, A., Turner, R., & Villringer, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.047 · Cited by 127
Barnes, S. R., Ng, T. S. C., Montagne, A., Law, M., Zlokovic, B. V., & Jacobs, R. E. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25793 · Cited by 115
Christen, T., Pannetier, N. A., Ni, W. W., Qiu, D., Moseley, M. E., Schuff, N., & Zaharchuk, G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.052 · Cited by 97
Metadata
- Authors
- He, X., & Yablonskiy, D. A.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2006-12-26
- Volume
- 57
- Issue
- 1
- Pages
- 115-126
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2144550248
- Cited by
- 396
- References
- 4
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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