Functional mapping of the human visual cortex by magnetic resonance imaging
Abstract
Knowledge of regional cerebral hemodynamics has widespread application for both physiological research and clinical assessment because of the well-established interrelation between physiological function, energy metabolism, and localized blood supply. A magnetic resonance technique was developed for quantitative imaging of cerebral hemodynamics, allowing for measurement of regional cerebral blood volume during resting and activated cognitive states. This technique was used to generate the first functional magnetic resonance maps of human task activation, by using a visual stimulus paradigm. During photic stimulation, localized increases in blood volume (32 +/- 10 percent, n = 7 subjects) were detected in the primary visual cortex. Center-of-mass coordinates and linear extents of brain activation within the plane of the calcarine fissure are reported.
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BOLD fMRI rapidly became dominant because it was easier to implement and offered greater sensitivity.
“After an initial approach using contrast agents (Belliveau et al., 1991), BOLD (blood-oxygen-level-dependent) fMRI rapidly became dominant (Ogawa et al., 1992) because it was easier to implement and offered greater sensitivity.”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Belliveau et al., 1991
Cites
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · see citing works
Mapping human visual cortex with positron emission tomography
Fox, P. T., Mintun, M. A., Raichle, M. E., Miezin, F. M., Allman, J. M., & Van Essen, D. C. (1986) · Nature · doi:10.1038/323806a0 · Cited by 422 · see citing works
Organization of the human brain.
Gazzaniga, M. S. (1989) · Science · doi:10.1126/science.2672334 · Cited by 266 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684 · see citing works
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 · see citing works
Self-citationOgawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681 · see citing works
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612 · see citing works
The biopsychosocial approach to chronic pain: Scientific advances and future directions.
Gatchel, R. J., Peng, Y. B., Peters, M. L., Fuchs, P. N., & Turk, D. C. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.4.581 · Cited by 3,392 · see citing works
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003 · see citing works
Time course EPI of human brain function during task activation
Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935 · see citing works
Functional MRI evidence for adult motor cortex plasticity during motor skill learning
Kami, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995) · Nature · doi:10.1038/377155a0 · Cited by 1,883 · see citing works
Dynamic Statistical Parametric Mapping
Dale, A. M., Liu, A. K., Fischl, B. R., Buckner, R. L., Belliveau, J. W., Lewine, J. D., & Halgren, E. (2000) · Neuron · doi:10.1016/s0896-6273(00)81138-1 · Cited by 1,787 · see citing works
Self-citationOgawa, S., Menon, R. S., Tank, D. W., Kim, S. G., Merkle, H., Ellermann, J. M., & Ugurbil, K. (1993) · Biophysical Journal · doi:10.1016/s0006-3495(93)81441-3 · Cited by 1,772 · see citing works
Fear Extinction as a Model for Translational Neuroscience: Ten Years of Progress
Milad, M. R., & Quirk, G. J. (2012) · Annual Review of Psychology · doi:10.1146/annurev.psych.121208.131631 · Cited by 1,466 · see citing works
Petrides, M., & Pandya, D. N. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00518.x · Cited by 1,068 · see citing works
Functional magnetic resonance imaging of symptom provocation in obsessive-compulsive disorder
Breiter, H. C. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070041008 · Cited by 626 · see citing works
Activation of the prefrontal cortex in a nonspatial working memory task with functional MRI
Cohen, J. D., Forman, S. D., Braver, T. S., Casey, B. J., Servan‐Schreiber, D., & Noll, D. C. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010407 · Cited by 576 · see citing works
Khan, U. A., Liu, L., Provenzano, F. A., Berman, D. E., Profaci, C. P., Sloan, R., Mayeux, R., Duff, K. E., & Small, S. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3606 · Cited by 561 · see citing works
The neural substrates of reward processing in humans: the modern role of FMRI
McClure, S. M., York, M. K., & Montague, P. R. (2004) · The Neuroscientist · doi:10.1177/1073858404263526 · Cited by 480 · see citing works
Brain activation and sexual arousal in healthy, heterosexual males
Arnow, B. A., Desmond, J. E., Banner, L. L., Glover, G. H., Solomon, A., Polan, M. L., Lue, T. F., & Atlas, S. W. (2002) · Brain · doi:10.1093/brain/awf108 · Cited by 425 · see citing works
Methodology of brain perfusion imaging
Barbier, E. L., Lamalle, L., & Décorps, M. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1073 · Cited by 404 · see citing works
Liu, A. K., Belliveau, J. W., & Dale, A. M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.15.8945 · Cited by 384 · see citing works
Self-citationThe Anterior Frontomedian Cortex and Evaluative Judgment: An fMRI Study
Zysset, S., Huber, O., Ferstl, E., & von Cramon, D. Y. (2002) · NeuroImage · doi:10.1006/nimg.2001.1008 · Cited by 386 · see citing works
Xiao, J., Liu, P., Wang, C. X., & Yang, G. W. (2017) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.02.004 · Cited by 352 · see citing works
Capillary perfusion of the rat brain cortex. An in vivo confocal microscopy study.
Villringer, A., Them, A., Lindauer, U., Einhäupl, K., & Dirnagl, U. (1994) · Circulation Research · doi:10.1161/01.res.75.1.55 · Cited by 295 · see citing works
A brief history of human brain mapping
Raichle, M. E. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.11.001 · Cited by 286 · see citing works
Functional neuroimaging in obsessive-compulsive disorder
Del Casale, A., Kotzalidis, G. D., Rapinesi, C., Serata, D., Ambrosi, E., Simonetti, A., Pompili, M., Ferracuti, S., Tatarelli, R., & Girardi, P. (2011) · Neuropsychobiology · doi:10.1159/000325223 · Cited by 210 · see citing works
Child Development and Neuroscience.
Nelson, C. A., & Bloom, F. E. (1997) · Child Development · doi:10.1111/j.1467-8624.1997.tb01974.x · Cited by 236 · see citing works
Cox, S. B., Woolsey, T. A., & Rovainen, C. M. (1993) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1993.113 · Cited by 198 · see citing works
Madsen, P. L., Cruz, N. F., Sokoloff, L., & Dienel, G. A. (1999) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199904000-00005 · Cited by 174 · see citing works
Neuroimaging-based approaches in the brain–computer interface
Min, B.-K., Marzelli, M. J., & Yoo, S.-S. (2010) · Trends in Biotechnology · doi:10.1016/j.tibtech.2010.08.002 · Cited by 150 · see citing works
Visual cortex: cartography, connectivity, and concurrent processing
Knierim, J. J., & Van Essen, D. C. (1992) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(92)90003-4 · Cited by 62 · see citing works
Cognitive training can reduce the rate of cognitive aging: a neuroimaging cohort study
Li, T., Yao, Y., Cheng, Y., Xu, B., Cao, X., Waxman, D., Feng, W., Shen, Y., Li, Q., Wang, J., et al. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0194-5 · Cited by 59 · see citing works
Combining fMRI and behavioral measures to examine the process of human learning
Karuza, E. A., Emberson, L. L., & Aslin, R. N. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.09.012 · Cited by 50 · see citing works
Nutrients for neurocognition in health and disease: Measures, methodologies and mechanisms
Scholey, A. (2018) · Proceedings of The Nutrition Society · doi:10.1017/s0029665117004025 · Cited by 49 · see citing works
Bartelle, B. B., Barandov, A., & Jasanoff, A. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.4050-15.2016 · Cited by 45 · see citing works
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“After an initial approach using contrast agents ( Belliveau et al., 1991), BOLD (blood- oxygen- level-dependent) fMRI rapidly became dominant ( Ogawa et al., 1992) because it was easier to implement and offered greater sensitivity.”
- Authors
- 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.
- Affiliations
- Harvard University (US)
- Venue
- Science
- Published
- 1991-11
- Volume
- 254
- Issue
- 5032
- Pages
- 716-719
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1995605620
- Cited by
- 1,883
- References
- 3
- Citations by year
- 2026: 22 · 2025: 39 · 2024: 35 · 2023: 40 · 2022: 44 · 2021: 32 · 2020: 31 · 2019: 45 · 2018: 37 · 2017: 36 · 2016: 33 · 2015: 45 · 2014: 50 · 2013: 57 · 2012: 66
- FWCI
- 65.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5p01ca048729-13, 5r01ca040303-11)
- National Heart, Lung, and Blood Institute (R01HL039810, R01-HL39810)
- National Cancer Institute (R01-CA40303, P01CA48729)
- 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
- functional MRI, primary visual cortex, regional cerebral blood volume, cerebral hemodynamics, photic stimulation, calcarine fissure, brain activation mapping
- MeSH terms
- Blood Volume, Brain Mapping, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Regional Blood Flow, Visual Cortex
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