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Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Open accessAbstract
Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradient-echo techniques in high fields, we demonstrate in vivo images of brain microvasculature with image contrast reflecting the blood oxygen level. This blood oxygenation level-dependent (BOLD) contrast follows blood oxygen changes induced by anesthetics, by insulin-induced hypoglycemia, and by inhaled gas mixtures that alter metabolic demand or blood flow. The results suggest that BOLD contrast can be used to provide in vivo real-time maps of blood oxygenation in the brain under normal physiological conditions. BOLD contrast adds an additional feature to magnetic resonance imaging and complements other techniques that are attempting to provide positron emission tomography-like measurements related to regional neural activity.
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In the citing paper
“In conventional fMRI, the BOLD response is elicited by neural activity, which drives flow of oxygen-rich blood (27, 28)”
From Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep (2019) · cites this paper as [27]
In the citing paper
“The most widely used fMRI signal is blood oxygenation level dependent (BOLD) (119) and observable with rapid pulse sequences sensitized to the T2*-weighted contrast (120–122).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [119]
In the citing paper
“This phenomenon is the basis for fMRI (8, 9) and is usually referred to as the blood oxygen level-dependent (BOLD) signal, following Ogawa and colleagues (6).”
From A default mode of brain function (2001) · cites this paper as [6]
In the citing paper
“Because fMRI signal intensity is sensitive to the amount of oxygen carried by hemoglobin (5-7), this change in blood oxygen content at the site of increased brain activity can be detected with fMRI.”
From A default mode of brain function (2001) · cites this paper as [6]
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Cites
Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields
Ogawa, S., Lee, T., Nayak, A. S., & Glynn, P. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140108 · Cited by 2,269
Self-citationPerfusion imaging with NMR contrast agents
Rosen, B. R., Belliveau, J. W., Vevea, J. M., & Brady, T. J. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140211 · Cited by 1,141
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
NMR chemical shift imaging in three dimensions.
Brown, T. R., Kincaid, B. M., & Uǧurbil, K. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.11.3523 · Cited by 1,045
Frostig, R. D., Lieke, E. E., Ts’o, D. Y., & Grinvald, A. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.16.6082 · Cited by 959
Ogawa, S., & Lee, T. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160103 · Cited by 565
Self-citationSpatially localized 1H NMR spectra of metabolites in the human brain.
Hanstock, C. C., Rothman, D. L., Prichard, J. W., Jue, T., & Shulman, R. G. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.6.1821 · Cited by 189
Optimizing blood vessel contrast in fast three‐dimensional MRI
Haacke, E. M., Masaryk, T. J., Wielopolski, P. A., Zypman, F. R., Tkach, J. A., Amartur, S. C., Mitchell, J., Clampitt, M. E., & Paschal, C. B. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140207 · Cited by 93
Magnetic resonance imaging of perfusion
Bihan, D. L. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140213 · Cited by 77
Time‐of‐flight effects in MR imaging of flow
Wehrli, F. W. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140205 · Cited by 65
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Pinto, J., Bright, M. G., Bulte, D. P., & Figueiredo, P. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2020.608475 · Cited by 98
Blood Oxygen Level–Dependent Magnetic Resonance Imaging in Patients with Stress-Induced Angina
Friedrich, M. G., Niendorf, T., Schulz‐Menger, J., Gross, C. M., & Dietz, R. (2003) · Circulation · doi:10.1161/01.cir.0000095271.08248.ea · Cited by 98
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Moeller, F. G., Steinberg, J. L., Schmitz, J. M., Ma, L., Liu, S., Kjome, K. L., Rathnayaka, N. S., Kramer, L. A., & Narayana, P. A. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2009.11.003 · Cited by 98
Xu, Y., & Haacke, E. M. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.10.030 · Cited by 98
Andreas, M., Schmid, A. I., Keilani, M. Y., Doberer, D., Bartko, J., Crevenna, R., Moser, E., & Wolzt, M. (2011) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-13-32 · Cited by 98
Takata, N., Sugiura, Y., Yoshida, K., Koizumi, M., Hiroshi, N., Honda, K., Yano, R., Komaki, Y., Matsui, K., Suematsu, M., et al. (2018) · Glia · doi:10.1002/glia.23454 · Cited by 105
In vivo magnetic resonance methods in pharmaceutical research: current status and perspectives
Rudin, M., Beckmann, N., Pórszász, R., Reese, T., Bochelen, D., & Sauter, A. (1999) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199904)12:2 · Cited by 98
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Vincent, T. L., Risser, L., & Ciuciu, P. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2042064 · Cited by 95
Kim, H. Y., Seo, K., Jeon, H. J., Lee, U., & Lee, H. (2017) · Molecules and Cells · doi:10.14348/molcells.2017.0153 · Cited by 97
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Bittar, R. G., Olivier, A., Sadikot, A. F., Andermann, F., Pike, G. B., & Reutens, D. C. (1999) · Journal of neurosurgery · doi:10.3171/jns.1999.91.6.0915 · Cited by 96
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Lawrence, N., An, S. K., Mataix‐Cols, D., Ruths, F. A., Speckens, A. E. M., & Phillips, M. L. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.06.033 · Cited by 93
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Lelyveld, V. S., Brustad, E. M., Arnold, F. H., & Jasanoff, A. (2010) · Journal of the American Chemical Society · doi:10.1021/ja107936d · Cited by 89
Braus, D. F. (1999) · Schizophrenia Research · doi:10.1016/s0920-9964(99)00032-8 · Cited by 89
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Maldjian, J. A., Schulder, M., Liu, W.-C., Mun, I.-K., Hirschorn, D. S., Murthy, R., Carmel, P. W., & Kalnin, A. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199711000-00013 · Cited by 89
Frӧhlich, F. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.1/ffroehlich · Cited by 88
Wengenroth, M., Blatow, M., Guenther, J., Akbar, M. B., Tronnier, V. M., & Stippich, C. (2011) · European Radiology · doi:10.1007/s00330-011-2067-9 · Cited by 88
Analytical Theory of Susceptibility Induced NMR Signal Dephasing in a Cerebrovascular Network
Kiselev, V. G., & Posse, S. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.5696 · Cited by 88
EEG/Functional MRI in Epilepsy: The Queen Square Experience
Hamandi, K., Salek‐Haddadi, A., Fish, D. R., & Lemieux, L. (2004) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200407000-00002 · Cited by 88
Forebrain organization for autonomic cardiovascular control
Shoemaker, J. K., Norton, K. N., Baker, J. R., & Luchyshyn, T. (2014) · Autonomic Neuroscience · doi:10.1016/j.autneu.2014.10.022 · Cited by 88
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Friedrich, M. G., & Karamitsos, T. D. (2013) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-15-43 · Cited by 88
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Neumann, J., Lohmann, G., Zysset, S., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00177-0 · Cited by 88
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Uǧurbil, K., Adriany, G., Andersen, P., Chen, W., Rolf Gruetter, A., Hu, X. P., Merkle, H., Kim, D., Kim, S., Strupp, J., et al. (2000) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.2.1.633 · Cited by 88
Self-citationFunctional NMR imaging using fast spin echo at 1.5 T
Constable, R. T., Kennan, R. P., Puce, A., McCarthy, G., & Gore, J. C. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310617 · Cited by 88
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Bright, M. G., & Murphy, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.043 · Cited by 87
Metadata
- Authors
- Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W.
- Affiliations
- AT&T (United States) (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 1990-12
- Volume
- 87
- Issue
- 24
- Pages
- 9868-9872
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC55275
- OpenAlex
- W2071714163
- Cited by
- 6,483
- References
- 12
- Citations by year
- 2026: 148 · 2025: 212 · 2024: 190 · 2023: 189 · 2022: 228 · 2021: 272 · 2020: 242 · 2019: 279 · 2018: 249 · 2017: 272 · 2016: 262 · 2015: 281 · 2014: 283 · 2013: 302 · 2012: 289
- FWCI
- 8.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- blood oxygenation level-dependent contrast, BOLD MRI, deoxyhemoglobin, cerebral microvasculature, gradient echo MRI, high-field MRI, anesthetic agents, insulin-induced hypoglycemia, functional MRI
- MeSH terms
- Animals, Blood Flow Velocity, Brain, Carbon Dioxide, Cerebrovascular Circulation, Female, Hemoglobins, Hypoglycemia, Kinetics, Magnetic Resonance Imaging, Models, Neurological, Oxygen, Rats, Inbred Strains, Rats
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