The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field
Abstract
At high and medium magnetic field, the transverse NMR relaxation rate (T-1(2)) of water proteins in blood is determined predominantly by the oxygenation state of haemoglobin. T-1(2) depends quadratically on the field strength and on the proportion of haemoglobin that is deoxygenated. Deoxygenation increases the volume magnetic susceptibility within the erythrocytes and thus creates local field gradients around these cells. From volume susceptibility measurements and the dependence of T-1(2) on the pulse rate in the Carr-Purcell-Meiboom-Gill experiment, we show that the increase in T-1(2) with increasing blood deoxygenation arises from diffusion of water through these field gradients.
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In the citing paper
“What causes the BOLD effect is the varying concentration of deoxygenated hemoglobin relative to the total hemoglobin that is either deoxygenated or oxygenated (123).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [123]
In the citing paper
“As a result, the concentration of deoxygenated hemoglobin decreases in capillary and venous vessels, reducing the paramagnetic susceptibility effect and thus increasing the T2*-weighted signal (123).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [123]
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 [5]
Citations
Cites
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239
Modified Spin-Echo Method for Measuring Nuclear Relaxation Times
Meiboom, S., & Gill, D. (1958) · Review of Scientific Instruments · doi:10.1063/1.1716296 · Cited by 6,001
High Resolution Nuclear Magnetic Resonance Spectroscopy
(1966) · Elsevier eBooks · doi:10.1016/c2013-0-05217-6 · Cited by 1,128
Luz, Z., & Meiboom, S. (1963) · The Journal of Chemical Physics · doi:10.1063/1.1734254 · Cited by 553
Biological Applications of Magnetic Resonance
(1979) · Elsevier eBooks · doi:10.1016/b978-0-126-40750-1.x5001-1 · Cited by 432
Examination of a Case of Suspected McArdle's Syndrome by31P Nuclear Magnetic Resonance
Ross, B. D., Radda, G. K., Gadian, D. G., Rocker, G. M., Esiri, M. M., & Smith, J. F. F. (1981) · New England Journal of Medicine · doi:10.1056/nejm198105283042206 · Cited by 427
Self-citationNuclear relaxation in macromolecules by paramagnetic ions: a novel mechanism
Guéron, M. (1975) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(75)90029-3 · Cited by 327
Water diffusion permeability of erythrocytes using an NMR technique
Conlon, T., & Outhred, R. (1972) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/0005-2736(72)90256-8 · Cited by 272
Nuclear relaxation processes of paramagnetic complexes The slow-motion case
Vega, A. J., & Fiat, D. (1976) · Molecular Physics · doi:10.1080/00268977600100261 · Cited by 218
Nuclear-Magnetic-Resonance Study of Self-Diffusion in a Bounded Medium
Wayne, R. C., & Cotts, R. M. (1966) · Physical Review · doi:10.1103/physrev.151.264 · Cited by 186
Research works printed but not linked: 5
- Radda, 1981, J. Magn. Reson., 42, 488
- Gansse, 1980, Phil. Trans. R. Soc. Lond., B289, 438
- Gueron, 1975, J. Magn. Reson., 19, 58
- Packer, 1973, J. Magn. Reson., 9, 438
- Thulborn, 1981, J. Cereb. Blood Flow Metab., 1, S82
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Menon, R. S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00010-5 · Cited by 1
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Kaandorp, D. D. (1999) · TU/e Research Portal · doi:10.6100/ir522597 · Cited by 1
Salgado‐Pineda, P. (2003) · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · Cited by 1
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Hlushchuk, Y. (2007) · Työväentutkimus Vuosikirja · Cited by 1
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Augustyn, G. T., DʼAmour, P. G., Scott, J. A., & Worth, R. M. (1987) · PubMed Central · Cited by 1
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Bihan, D. L., Cuénod, C. A., Turner, J. R., Jezzard, P., Bonnerot, V., & Zeffiro, T. A. (1993) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.151173 · Cited by 1
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der Linden, A. V., Verhoye, M., & Nilsson, G. (2001) · Cited by 1
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Campelo, A. D. S., Farias, V., da Rocha, M. P. D. C., Tavares, H. R., & Pereira, A. M. D. J. (2010) · Artificial Neural Networks and Intelligent Information Processing · doi:10.5220/0002951300720080
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中井, 敏., 松尾, 香., 知佳子, 加., 哲郎, 守., & 智久, 岡. (1998) · 認知科学 = Cognitive studies : bulletin of the Japanese Cognitive Science Society · doi:10.11225/jcss.5.3_100
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Lasker, S. E. (1994) · Artificial Cells Blood Substitutes and Biotechnology · doi:10.3109/10731199409138802
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Choi, Y.-J., Lee, S., Bae, C. B., Park, J.-Y., Kim, W.-M., & Oh, B.-C. (2015) · Journal of the Korean Neurological Association · doi:10.17340/jkna.2015.1.6
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Monnot, C. (2013) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
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Glover (2000) · doi:10.1002/1522-2594(200007)44:1
Biswal (1997) · doi:10.1002/(sici)1099-1492(199706/08)10:4/5
Self-citationBuckley (1999) · doi:10.1002/(sici)1522-2594(199901)41:1
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Metadata
- Authors
- Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K.
- Affiliations
- University of Oxford (GB)
- Venue
- Biochimica et Biophysica Acta (BBA) - General Subjects
- Publisher
- Elsevier BV
- Published
- 1982-02
- Volume
- 714
- Issue
- 2
- Pages
- 265-270
- ISSN
- 0304-4165 (ISSN-L)
- OpenAlex
- W1980086703
- Cited by
- 1,134
- References
- 22
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 20 · 2023: 30 · 2022: 16 · 2021: 22 · 2020: 25 · 2019: 19 · 2018: 15 · 2017: 22 · 2016: 37 · 2015: 37 · 2014: 34 · 2013: 30 · 2012: 47
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biochimica et Biophysica Acta (BBA) - General Subjects (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › NMR spectroscopy and applications
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Keywords
- T2 relaxation, water protons, whole blood, hemoglobin oxygenation, volume magnetic susceptibility, erythrocytes, diffusion, high magnetic fields, NMR relaxation
- MeSH terms
- Animals, Body Water, Erythrocytes, Hematocrit, Hemoglobins, Male, Magnetic Resonance Spectroscopy, Oxygen, Protons, Rabbits, Rats, Inbred Strains, Rats
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