The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Perfusion imaging by a flow‐sensitive alternating inversion recovery (Fair) technique: Application to functional brain imaging
Abstract
Perfusion is a crucial physiological parameter for tissue function. To obtain perfusion‐weighted images and consequently to measure cerebral blood flow (CBF), a newly developed flow‐sensitive alternating inversion recovery (FAIR) technique was used. Dependency of FAIR signal on inversion times (TI) was examined; signal is predominantly located in large vessels at short TI, whereas it is diffused into gray matter areas at longer TI. CBF of gray matter areas in the human brain is 71 ± 15 SD ml/100 g/min (n = 6). In fMRI studies, micro‐ and macrovessel inflow contributions can be obtained by adjusting TIs. Signal changes in large vessel areas including the scalp were seen during finger opposition at a TI of 0.4 s; however, these were not observed at a longer TI of 1.4 s. To compare with commonly used BOLD and slice selective inversion recovery techniques, FAIR and BOLD images were acquired at the same time during unilateral finger opposition. Generally, activation sites determined by three techniques are consistent. However, activation of some areas can be detected only by FAIR, not by BOLD, suggesting that the oxygen consumption increase couples with the CBF change completely. Relative and absolute CBF changes in the contralateral motor cortex are 53 ± 17% SD (n = 9) and 27 ± 11 SD ml/100 g/min (n = 9), respectively.
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Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Functional mapping of the human visual cortex by magnetic resonance imaging
Belliveau, J. W., Kennedy, D. N., McKinstry, R. C., Buchbinder, B. R., Weisskoff, R. M., Cohen, M. S., Vevea, J. M., Brady, T. J., & Rosen, B. R. (1991) · Science · doi:10.1126/science.1948051 · Cited by 1,883
Lai, S., Hopkins, A. L., Haacke, E. M., Li, D., Wasserman, B. A., Buckley, P., Friedman, L., Meltzer, H., Hedera, P., & Friedland, R. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300318 · Cited by 390
Regional cerebral blood flow and oxygen consumption in human aging
Pantano, P., Baron, J. C., Lebrun-Grandié, P., Duquesnoy, N., Bousser, M. G., & Comar, D. (1984) · Stroke · doi:10.1161/01.str.15.4.635 · Cited by 341
Seitz, R. J., & Roland, P. E. (1992) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1992.tb00862.x · Cited by 321
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Burdette (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00023 · Cited by 320
Model‐free arterial spin labeling quantification approach for perfusion MRI
Petersen, E. T., Lim, T., & Golay, X. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20784 · Cited by 305
Acute effect of a high nitrate diet on brain perfusion in older adults
Presley, T. D., Morgan, A. R., Bechtold, E., Clodfelter, W., Dove, R. W., Jennings, J. M., Kraft, R. A., Bruce King, S., Laurienti, P. J., Jack Rejeski, W., et al. (2011) · Nitric Oxide · doi:10.1016/j.niox.2010.10.002 · Cited by 238
The effect of daily caffeine use on cerebral blood flow: How much caffeine can we tolerate?
Addicott, M. A., Yang, L. L., Peiffer, A. M., Burnett, L. R., Burdette, J. H., Chen, M. Y., Hayasaka, S., Kraft, R. A., Maldjian, J. A., & Laurienti, P. J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20732 · Cited by 210
Brain neurochemical and hemodynamic findings in the NY1DD mouse model of mild sickle cell disease
Cui, M., Suzuka, S. M., Branch, N. A., Ambadipudi, K., Thangaswamy, S., Acharya, S. A., Billett, H. H., & Branch, C. A. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3692 · Cited by 11
Metadata
- Authors
- Kim, S., & Tsekos, N. V.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1997-03
- Volume
- 37
- Issue
- 3
- Pages
- 425-435
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2056388234
- Cited by
- 247
- References
- 6
- FWCI
- 22.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, S., & Tsekos, N. V. (1997). Perfusion imaging by a flow‐sensitive alternating inversion recovery (Fair) technique: Application to functional brain imaging. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910370321
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