The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo
Abstract
Understanding the relationship between fMRI signal changes and activated cortex is paramount to successful mapping of neuronal activity. To this end, the relative extravascular and intravascular contribution to fMRI signal change from capillaries (localized), venules (less localized) and macrovessels (remote, draining veins) must be determined. In this work, the authors assessed both the extravascular and intravascular contribution to blood oxygenation level‐dependent gradient echo signal change at 1.5 T by using a Monte Carlo model for susceptibility‐based contrast in conjunction with a physiological model for neuronal activation‐induced changes in oxygenation and vascular volume fraction. The authors compared our Model results with experimental fMRI signal changes with and without velocity sensitization via bipolar gradients to null the intravascular signal. The model and experimental results are in agreement and suggest that the intravascular spins account for the majority of fMRI signal change on T2*‐weighted images at 1.5 T.
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Cites
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
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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
Self-citationThulborn, 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
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Cited by
Dynamics of blood flow and oxygenation changes during brain activation: the Balloon model
Buxton, R. B., Wong, E. C., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390602 · Cited by 1,665
Meta-analysis of the functional neuroanatomy of single-word reading: method and validation
Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002) · NeuroImage · doi:10.1006/nimg.2002.1131 · Cited by 1,604
Resting-state fMRI in the human connectome project
Smith, S. M., Beckmann, C. F., Andersson, J., Auerbach, E. J., Bijsterbosch, J., Douaud, G., Duff, E., Feinberg, D. A., Griffanti, L., Harms, M. P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.039 · Cited by 1,502
What does fMRI tell us about neuronal activity?
Heeger, D. J., & Ress, D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn730 · Cited by 1,085
Overview of Functional Magnetic Resonance Imaging
Glover, G. H. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.11.001 · Cited by 1,024
Metadata
- Authors
- Boxerman, J. L., Bandettini, P. A., Kwong, K. K., Baker, J. R., Davis, T. L., Rosen, B. R., & Weisskoff, R. M.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1995-07
- Volume
- 34
- Issue
- 1
- Pages
- 4-10
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2056022329
- Cited by
- 594
- References
- 5
- FWCI
- 23.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Boxerman, J. L., Bandettini, P. A., Kwong, K. K., Baker, J. R., Davis, T. L., Rosen, B. R., & Weisskoff, R. M. (1995). The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910340103
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
