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A direct demonstration of functional specialization in human visual cortex
Open accessAbstract
We have used positron emission tomography (PET), which measures regional cerebral blood flow (rCBF), to demonstrate directly the specialization of function in the normal human visual cortex. A novel technique, statistical parametric mapping, was used to detect foci of significant change in cerebral blood flow within the prestriate cortex, in order to localize those parts involved in the perception of color and visual motion. For color, we stimulated the subjects with a multicolored abstract display containing no recognizable objects (Land color Mondrian) and contrasted the resulting blood flow maps with those obtained when subjects viewed an identical display consisting of equiluminous shades of gray. The comparison identified a unique area (area V4) located in the lingual and fusiform gyri of the prestriate cortex. For motion, blood flow maps when subjects viewed moving or stationary black and white random-square patterns were contrasted. The comparison identified a unique area located in the region of the temporo-parieto-occipital junction (area V5). We thus provide direct evidence to show that, just as in the macaque monkey, different areas of the human prestriate visual cortex are specialized for different attributes of vision. The striate cortex (V1) and the contiguous visual area (V2), which in the monkey brain feed both the homologous areas, were active in all 4 conditions. This pattern of activity allowed us to use an extension of the approach to assess the functional relationship between the 3 areas during color and motion stimulation. This is based on an hypothesis-led analysis of the covariance structure of the blood flow maps and promises to be a powerful tool for inferring anatomical pathways in the normal human brain.(ABSTRACT TRUNCATED AT 250 WORDS)
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Citations
Cites
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · cited 4×
“The importance of the demonstration of this similarity in the organization of monkey and human brain lies in the fact that, by analogy, one may be able to make predictions about other, as yet uncharted, human cortical areas, just as predictions about the internal functional organization of areas in monkeys can be made…”
BackgroundInfluentialSelf-citationMapping 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 · cited 2×
“The only comparable method of image analysis in the literature is that described by Fox et al. (1986) .”
MethodMass Action in Cerebral Function
Lashley, K. S. (1931) · Science · doi:10.1126/science.73.1888.245 · Cited by 164
Cited by
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
Psychophysiological and Modulatory Interactions in Neuroimaging
Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0291 · Cited by 3,097
Self-citationDevelopment and neurophysiology of mentalizing
Frith, U., & Frith, C. D. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1218 · Cited by 2,306
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159
Cohen, L., Dehaene, S., Naccache, L., Lehéricy, S., Dehaene-Lambertz, G., Hénaff, M.-A., & Michel, F. (2000) · Brain · doi:10.1093/brain/123.2.291 · Cited by 1,954
‘What’ and ‘where’ in the human brain
Ungerleider, L. G., & Haxby, J. V. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90066-3 · Cited by 1,913
Decoding the visual and subjective contents of the human brain
Kamitani, Y., & Tong, F. (2005) · Nature Neuroscience · doi:10.1038/nn1444 · Cited by 1,829
How parallel are the primate visual pathways?
Merigan, W. H., & Maunsell, J. H. R. (1993) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.16.030193.002101 · Cited by 1,597
Event-related brain potentials in the study of visual selective attention
Hillyard, S. A., & Anllo-Vento, L. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.781 · Cited by 1,525
Visual field maps in human cortex.
Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231
Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284
Hillyard, S. A., Vogel, E. K., & Luck, S. J. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0281 · Cited by 1,201
Petrides, M., & Pandya, D. N. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00518.x · Cited by 1,068
Functional specificity in the human brain: a window into the functional architecture of the mind
Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929
A functional neuroanatomy of hallucinations in schizophrenia
Silbersweig, D. A., Stern, E., Frith, C., Cahill, C., Holmes, A., Grootoonk, S., Seaward, J., McKenna, P., Chua, S. E., Schnorr, L., et al. (1995) · Nature · doi:10.1038/378176a0 · Cited by 906
Coull, J. T. (1998) · Progress in Neurobiology · doi:10.1016/s0301-0082(98)00011-2 · Cited by 882
Kawabata, H., & Zeki, S. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00696.2003 · Cited by 880
Self-citationThe rises and falls of disconnection syndromes
Catani, M., & ffytche, D. H. (2005) · Brain · doi:10.1093/brain/awh622 · Cited by 863
Comparing dynamic causal models.
Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848
Self-citationPolymodal Motion Processing in Posterior Parietal and Premotor Cortex
Bremmer, F., Schlack, A., Shah, N. J., Zafiris, O., Kubischik, M., Hoffmann, K.-P., Zilles, K., & Fink, G. R. (2001) · Neuron · doi:10.1016/s0896-6273(01)00198-2 · Cited by 803
(2016) · doi:10.3389/fpsyg · Cited by 801
The elusive concept of brain connectivity
Horwitz, B. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00112-5 · Cited by 779
Emotion and the prefrontal cortex: an integrative review
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017) · Psychological Bulletin · doi:10.1037/bul0000096 · Cited by 745
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690
Functional Anatomy of the Attentional Modulation of Time Estimation
Coull, J. T., Vidal, F., Nazarian, B., & Macar, F. (2004) · Science · doi:10.1126/science.1091573 · Cited by 642
Comparative mapping of higher visual areas in monkeys and humans
Orban, G. A., Van Essen, D., & Vanduffel, W. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.05.009 · Cited by 639
Visual dysfunction in Parkinson’s disease
Weil, R. S., Schrag, A. E., Warren, J. D., Crutch, S. J., Lees, A. J., & Morris, H. R. (2016) · Brain · doi:10.1093/brain/aww175 · Cited by 481
“IT = infero-temporal region; MT/V5 = motion processing region.”
BackgroundStimulus Predictability Reduces Responses in Primary Visual Cortex
Alink, A., Schwiedrzik, C. M., Kohler, A., Singer, W., & Muckli, L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3730-10.2010 · Cited by 435
Multiple Realizability Revisited: Linking Cognitive and Neural States
Bechtel, W., & Mundale, J. (1999) · Philosophy of Science · doi:10.1086/392683 · Cited by 483
Braun, A. R., Balkin, T. J., Wesensten, N. J., Gwadry, F., Carson, R. E., Varga, M., Baldwin, P., Belenky, G., & Herscovitch, P. (1998) · Science · doi:10.1126/science.279.5347.91 · Cited by 474
When Strangers Pass: Processing of Mutual and Averted Social Gaze in the Superior Temporal Sulcus
Pelphrey, K. A., Viola, R. J., & McCarthy, G. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.00726.x · Cited by 464
Brandt, T. (1998) · Brain · doi:10.1093/brain/121.9.1749 · Cited by 462
Pelphrey, K. A., Morris, J. P., & McCarthy, G. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042947900 · Cited by 454
Neuronal basis of contrast discrimination
Boynton, G. M., Demb, J. B., Glover, G. H., & Heeger, D. J. (1999) · Vision Research · doi:10.1016/s0042-6989(98)00113-8 · Cited by 391
A Comparison of Visual and Auditory Motion Processing in Human Cerebral Cortex
Lewis, J. W. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.9.873 · Cited by 381
Pelphrey, K. A., Morris, J. P., Michelich, C. R., Allison, T., & McCarthy, G. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi064 · Cited by 369
The disunity of consciousness.
Zeki, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00081-0 · Cited by 337
Self-citationVisual motion serves but is not under the purview of the dorsal pathway
Gilaie-Dotan, S. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.07.018 · Cited by 325
Mosconi, L. (2013) · Clinical and Translational Imaging · doi:10.1007/s40336-013-0026-y · Cited by 328
Brain activity evoked by the perception of human walking: controlling for meaningful coherent motion
Pelphrey, K. A., Mitchell, T. V., McKeown, M. J., Goldstein, J., Allison, T., & McCarthy, G. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-17-06819.2003 · Cited by 314
The functional anatomy of attention to visual motion. A functional MRI study
Buchel, C. (1998) · Brain · doi:10.1093/brain/121.7.1281 · Cited by 303
Areas Involved in Encoding and Applying Directional Expectations to Moving Objects
Shulman, G. L., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., Petersen, S. E., & Corbetta, M. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09480.1999 · Cited by 298
Bottini, G. (2001) · Brain · doi:10.1093/brain/124.6.1182 · Cited by 286
Mapping Implied Body Actions in the Human Motor System
Urgesi, C., Moro, V., Candidi, M., & Aglioti, S. M. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1289-06.2006 · Cited by 273
Toward a theory of visual consciousness.
Zeki, S., & Bartels, A. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1999.0390 · Cited by 271
Self-citationMotor Learning with Augmented Feedback: Modality-Dependent Behavioral and Neural Consequences
Ronsse, R., Puttemans, V., Coxon, J. P., Goble, D. J., Wagemans, J., Wenderoth, N., & Swinnen, S. P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq209 · Cited by 193
Maps of visual space in human occipital cortex are retinotopic, not spatiotopic
Gardner, J. L., Merriam, E. P., Movshon, J. A., & Heeger, D. J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5476-07.2008 · Cited by 192
3D shape perception from combined depth cues in human visual cortex
Welchman, A. E., Deubelius, A., Conrad, V., Bülthoff, H. H., & Kourtzi, Z. (2005) · Nature Neuroscience · doi:10.1038/nn1461 · Cited by 183
Mapping of functional organization in human visual cortex: Electrical cortical stimulation
Lee, H. W., Hong, S. B., Seo, D. W., Tae, W. S., & Hong, S. C. (2000) · Neurology · doi:10.1212/wnl.54.4.849 · Cited by 184
Motion psychophysics: 1985-2010.
Burr, D., & Thompson, P. (2011) · Vision Research · doi:10.1016/j.visres.2011.02.008 · Cited by 178
Majsak, M. (1998) · Brain · doi:10.1093/brain/121.4.755 · Cited by 177
Friston, K., Stephan, K., Li, B., & Daunizeau, J. (2010) · Mathematical Problems in Engineering · doi:10.1155/2010/621670 · Cited by 171
Self-citationOn the neural basis of focused and divided attention
Nebel, K., Wiese, H., Stude, P., de Greiff, A., Diener, H.-C., & Keidel, M. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.09.011 · Cited by 149
Networks of Neuronal Genes Affected by Common and Rare Variants in Autism Spectrum Disorders
Ben-David, E., & Shifman, S. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002556 · Cited by 145
Left inferior parietal dominance in gesture imitation: an fMRI study
Mühlau, M., Hermsdörfer, J., Goldenberg, G., Wohlschläger, A. M., Castrop, F., Stahl, R., Röttinger, M., Erhard, P., Haslinger, B., Ceballos-Baumann, A. O., et al. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.10.004 · Cited by 141
The role of MT+/V5 during biological motion perception in Asperger syndrome: An fMRI study
Herrington, J. D., Baron-Cohen, S., Wheelwright, S. J., Singh, K. D., Bullmore, E. T., Brammer, M., & Williams, S. C. R. (2007) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2006.07.002 · Cited by 138
A social Bayesian brain: how social knowledge can shape visual perception
Otten, M., Seth, A. K., & Pinto, Y. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2016.05.002 · Cited by 124
Visual memory and visual perception recruit common neural substrates
Slotnick, S. D. (2004) · Behavioral and Cognitive Neuroscience Reviews · doi:10.1177/1534582304274070 · Cited by 130
Abnormal neural filtering of irrelevant visual information in depression
Desseilles, M., Balteau, E., Sterpenich, V., Dang-Vu, T. T., Darsaud, A., Vandewalle, G., Albouy, G., Salmon, E., Peters, F., Schmidt, C., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3341-08.2009 · Cited by 129
Model averaging, optimal inference, and habit formation
FitzGerald, T. H. B., Dolan, R. J., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00457 · Cited by 121
Self-citationCorrespondences between retinotopic areas and myelin maps in human visual cortex
Abdollahi, R. O., Kolster, H., Glasser, M. F., Robinson, E. C., Coalson, T. S., Dierker, D., Jenkinson, M., Van Essen, D. C., & Orban, G. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.042 · Cited by 126
Charting the typical and atypical development of the social brain
Pelphrey, K. A., & Carter, E. J. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000515 · Cited by 126
Changes in occipital cortex activity in early blind humans using a sensory substitution device
De Volder, A. G., Catalan-Ahumada, M., Robert, A., Bol, A., Labar, D., Coppens, A., Michel, C., & Veraart, C. (1999) · Brain Research · doi:10.1016/s0006-8993(99)01275-5 · Cited by 114
Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us?
Coutanche, M. N. (2013) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0186-2 · Cited by 111
Large-scale neural models and dynamic causal modelling
Lee, L., Friston, K., & Horwitz, B. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.007 · Cited by 93
Self-citationSuggested visual hallucination without hypnosis enhances activity in visual areas of the brain
McGeown, W. J., Venneri, A., Kirsch, I., Nocetti, L., Roberts, K., Foan, L., & Mazzoni, G. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2011.10.015 · Cited by 90
Ban, H., Yamamoto, H., Hanakawa, T., Urayama, S.-I., Aso, T., Fukuyama, H., & Ejima, Y. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1455-12.2013 · Cited by 80
van der Meer, A. L. H., & van der Weel, F. R. (. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00706 · Cited by 62
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
(2008) · Cited by 61
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
Brain connectivity and behavioral changes in a spaceflight analog environment with elevated CO2
McGregor, H. R., Lee, J. K., Mulder, E. R., De Dios, Y. E., Beltran, N. E., Kofman, I. S., Bloomberg, J. J., Mulavara, A. P., & Seidler, R. D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117450 · Cited by 36
Becker, H. G. T., Haarmeier, T., Tatagiba, M., & Gharabaghi, A. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0556-13.2013 · Cited by 20
Borowiak, K., Schelinski, S., & von Kriegstein, K. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.09.019 · Cited by 17
Vilhelmsen, K., Agyei, S. B., van der Weel, F. R. (., & van der Meer, A. L. H. (2019) · Psychophysiology · doi:10.1111/psyp.13281 · Cited by 16
Metadata
- Authors
- Zeki, S., Watson, J., Lueck, C., Friston, K., Kennard, C., & Frackowiak, R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1991-03-01
- Volume
- 11
- Issue
- 3
- Pages
- 641-649
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1578804663
- Cited by
- 1,716
- References
- 3
- FWCI
- 22.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
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