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Mapping human visual cortex with positron emission tomography
Abstract
Positron-emission tomography (PET) can localize functions of the human brain by imaging regional cerebral blood flow (CBF) during voluntary behaviour. Functional brain mapping with PET, however, has been hindered by PET's poor spatial resolution (typically greater than 1 cm). We have developed an image-analysis strategy that can map functional zones not resolved by conventional PET images. Brain areas selectively activated by a behavioural task can be isolated by subtracting a paired control-state image from the task-state image, thereby removing areas not recruited by the task. When imaged in isolation the centre of an activated area can be located very precisely. This allows subtle shifts in response locale due to changes in task to be detected readily despite poor spatial resolution. As an initial application of this strategy we mapped the retinal projection topography of human primary visual cortex. Functional zones separated by less than 3 mm (centre-to-centre) were differentiated using PET CBF images with a spatial resolution of 18 mm. This technique is not limited to a particular brain area or type of behaviour but does require that the increase in CBF produced by the task be both intense and focal.
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“Previous literature reported that the peak activations in V1 and secondary visual areas are stimulation dependent and occur at distinct temporal frequencies (4 or 8 Hz in V1, and 20 or 40 Hz in secondary visual areas for chromatic or luminance flickering, respectively) (Chai et al., 2019; Fox et al., 1986; Kastner et al., 2004; Kwong et al., 1992; Singh et al., 2000).”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Fox et al., 1986
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“Modern imaging techniques have indeed demonstrated that there is a strong coupling between neuronal activity, local metabolic activity, and blood flow (Kety et al., 1955; Lassen and Ingvar, 1961; Sokoloff, 1977; Raichle et al., 1983; Fox et al., 1986).”
Cannon, D. M., Ichise, M., Rollis, D., Klaver, J. M., Gandhi, S. K., Charney, D. S., Manji, H. K., & Drevets, W. C. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.03.016 · Cited by 219
Identifying objects seen from different viewpoints A PET investigation
Kosslyn, S. M., Alpert, N. M., Thompson, W. L., Chabris, C. F., Rauch, S. L., & Anderson, A. K. (1994) · Brain · doi:10.1093/brain/117.5.1055 · Cited by 215
“Holmes, 1918) and PET studies (Fox et al., 1986). Moreover, Kosslyn et al. (1993) used PET to show that topographically organized regions of visual cortex could be activated by visual mental imagery.”
Spatial and temporal limits in cognitive neuroimaging with fMRI
Menon, R. S., & Kim, S.-G. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01329-7 · Cited by 209
Brain Imaging: Applications in Psychiatry
Andreasen, N. C. (1988) · Science · doi:10.1126/science.3279509 · Cited by 209
Functional and cortical adaptations to central vision loss
Cheung, S. H., & Legge, G. E. (2005) · Visual Neuroscience · doi:10.1017/s0952523805222071 · Cited by 214
“~Fox et al., 1984!. Change in blood flow is marked by the preinjected radioactive water and can be imaged by a PET scanner.”
BackgroundMethodPersistence of abnormal neural responses to a meal in postobese individuals
DelParigi, A., Chen, K., Salbe, A. D., Hill, J. O., Wing, R. R., Reiman, E. M., & Tataranni, P. A. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.0802558 · Cited by 189
Three-Dimensional Electrical Impedance Tomography of Human Brain Activity
Tidswell, T., Gibson, A. P., Bayford, R. H., & Holder, D. S. (2001) · NeuroImage · doi:10.1006/nimg.2000.0698 · Cited by 183
“These were: (1) The posterior quadrant of the EIT images, which corresponded to the visual cortex (Fox et al., 1986), or (2) The contralateral image quadrants to the moving or stimulated hand that corresponded to the contralateral motor (Kim et al., 1993) or somatosensory cortex (Ibanez et al.,…”
BackgroundMethodForward to the Past: The Case for Quantitative PET Imaging
Lammertsma, A. A. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.188029 · Cited by 177
“On the other hand, PET progressed into a more phenomenologic application, namely the detection of activated areas of CBF in the brain after a stimulus (22).”
BackgroundPiccinini, G. (2020) · doi:10.1093/oso/9780198866282.001.0001 · Cited by 179
Meta-Analysis in Human Neuroimaging: Computational Modeling of Large-Scale Databases
Fox, P. T., Lancaster, J. L., Laird, A. R., & Eickhoff, S. B. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170320 · Cited by 176
“Although it was new to brain imaging, this strategy had been known to astronomers for centuries as “vernier acuity” and to vision scientists for decades as “hyperacuity” (Fox et al. 1986).”
Sadato, N., Ibañez, V., Campbell, G., Deiber, M., Bihan, D. L., & Hallett, M. (1997) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199706000-00008 · Cited by 172
If neuroimaging is the answer, what is the question?
Kosslyn, S. M. (1999) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1999.0479 · Cited by 170
“For example, Fox et al. (1986) used PET to study the organization of Area 17 (primary visual cortex).”
MethodInfluentialCognitive neuroscience: Origins and promise.
Posner, M. I., & DiGirolamo, G. J. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.6.873 · Cited by 171
Dynamic functional imaging of brain glucose utilization using fPET-FDG
Villien, M., Wey, H., Mandeville, J. B., Catana, C., Polimeni, J. R., Sander, C. Y. M., Zürcher, N. R., Chonde, D. B., Fowler, J. S., Rosen, B. R., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.025 · Cited by 167
The Neuropsychology of the Prefrontal Cortex
Rezai, K., Andreasen, N. C., Alliger, R., Cohen, G., Swayze, V., & O'Leary, D. S. (1993) · Archives of Neurology · doi:10.1001/archneur.1993.00540060066020 · Cited by 247
Cells of the Blood–Brain Barrier: An Overview of the Neurovascular Unit in Health and Disease
McConnell, H., & Mishra, A. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2289-6_1 · Cited by 174
Miller, M. B., Horn, J. D. V., Wolford, G., Handy, T. C., Valsangkar-Smyth, M., Inati, S., Grafton, S. T., & Gazzaniga, M. S. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902760807203 · Cited by 158
“Group averaging, however, was quickly validated in these first studies by showing that retinotopic mapping of the primary visual cortex occurred in response to a flashing checkerboard in the appropriate visual field (Fox et al., 1986).”
Dynamic Magnetic Resonance Imaging of the Rat Brain during Forepaw Stimulation
Hyder, F., Behar, K. L., Martin, M. A., Blamire, A. M., & Shulman, R. G. (1994) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1994.81 · Cited by 157
Poline, J., & Mazoyer, B. M. (1993) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1993.57 · Cited by 155
Steinmetz, H., Fürst, G., & Freund, H. (1990) · PubMed Central · Cited by 152
Cortical magnification and peripheral vision
Virsu, V., Näsänen, R., & Osmoviita, K. (1987) · Journal of the Optical Society of America A · doi:10.1364/josaa.4.001568 · Cited by 152
Toronov, V., Walker, S., Gupta, R., Choi, J. H., Gratton, E., Hueber, D. M., & WEBB, A. G. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00152-6 · Cited by 147
“Many studies have focused on assessment of the roles of various parameters characterizing this mechanism (Vanzetta and Grinvald, 1999; Ugurbil et al., 2000; Fox et al., 1986; Belliveau et al., 1991; Buxton et al., 1998; Feng et al., 2001; Hess et al., 2000).”
Yamashita, Y., Maki, A., & Koizumi, H. (2001) · Medical Physics · doi:10.1118/1.1373401 · Cited by 139
Brain-imaging studies of cognitive functions
Sergent, J. (1994) · Trends in Neurosciences · doi:10.1016/0166-2236(94)90002-7 · Cited by 138
A motion area in human visual cortex.
Orban, G. A., Dupont, P. J., Bruyn, B. D., Vogels, R., Vandenberghe, R. R., & Mortelmans, L. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.4.993 · Cited by 133
Images of the Mind: Studies with Modern Imaging Techniques
Raichle, M. E. (1994) · Annual Review of Psychology · doi:10.1146/annurev.ps.45.020194.002001 · Cited by 134
Brain Glucose Metabolism in Postanoxic Syndrome
Devolder, A. (1990) · Archives of Neurology · doi:10.1001/archneur.1990.00530020103022 · Cited by 130
Metadata
- Authors
- Fox, P. T., Mintun, M. A., Raichle, M. E., Miezin, F. M., Allman, J. M., & Van Essen, D. C.
- Affiliations
- Washington University in St. Louis (US)
- California Institute of Technology (US)
- Venue
- Nature
- Published
- 1986-10
- Volume
- 323
- Issue
- 6091
- Pages
- 806-809
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1994364310
- Cited by
- 422
- References
- 22
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 19 · 2019: 6 · 2018: 1 · 2017: 5 · 2016: 6 · 2015: 7 · 2014: 9 · 2013: 9 · 2012: 8
- FWCI
- 12.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- functional brain mapping, primary visual cortex, regional cerebral blood flow, positron emission tomography, spatial resolution, image subtraction, visual cortex
- MeSH terms
- Cerebrovascular Circulation, Humans, Image Enhancement, Regional Blood Flow, Subtraction Technique, Tomography, Emission-Computed, Visual Cortex
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