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Topographical Variation of the Human Primary Cortices: Implications for Neuroimaging, Brain Mapping, and Neurobiology
Abstract
The relationships of the "primary" cytoarchitectonic neocortical fields, 17, 41, 3b, and 4 (Brodmann areas), to salient topographic landmarks have been reconstructed from serial histological sections in 20 human cerebral hemispheres (10 brains). Each of these architectonic fields is found to bear a characteristic relationship to a set of enframing anatomic landmarks, in particular, gyri, fissures, and sulci, that can be readily defined by MRI. Two classes of variability were found characteristic, at least to some extent, of each of the fields. Class 1 variability--variability that is not predictable from visible landmarks--was typical of the polar and for the cuneal and lingual extracalcarine distributions of field 17 and the distribution of field 4 upon the paracentral lobule. Class 2 variability--variability that is closely predictable from visible landmarks--is seen in the marked interindividual or interhemispheric variation in size or shape of a field and was found to be prominent for all four fields. Because of the prominence of class 2 variability, direct reference to the landmarks that frame these fields may be expected to be a more reliable basis for functional mapping than reference to a template or stereotactic coordinate-based system of reference to a standard or idealized brain.
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Cites
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
Cited by
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
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
Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI
Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447
Human temporal lobe activation by speech and nonspeech sounds
Binder, J. R. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.5.512 · Cited by 1,345
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
Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder
Castellanos, F. X. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070053009 · Cited by 1,183
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151
Cross-modal plasticity: where and how?
Bavelier, D., & Neville, H. J. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn848 · Cited by 1,040
Memory's echo: vivid remembering reactivates sensory-specific cortex
Wheeler, M. E., Petersen, S. E., & Buckner, R. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.20.11125 · Cited by 865
Graph analysis of the human connectome: Promise, progress, and pitfalls
Fornito, A., Zalesky, A., & Breakspear, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.087 · Cited by 743
Cortical folding patterns and predicting cytoarchitecture
Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm225 · Cited by 737
The human inferior parietal cortex: Cytoarchitectonic parcellation and interindividual variability
Caspers, S., Geyer, S., Schleicher, A., Mohlberg, H., Amunts, K., & Zilles, K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.054 · Cited by 634
Synaptic development of the cerebral cortex: implications for learning, memory and mental illness
(1994) · Progress in Brain Research · doi:10.1016/s0079-6123(08)60543-9 · Cited by 565
The Human Brain Age 7–11 Years: A Volumetric Analysis Based on Magnetic Resonance Images
Caviness, V. S., Kennedy, D. N., Richelme, C., Rademacher, J., & Filipek, P. A. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.5.726 · Cited by 509
Self-citationNeural correlates of sensory and decision processes in auditory object identification
Binder, J. R., Liebenthal, E., Possing, E. T., Medler, D. A., & Ward, B. D. (2004) · Nature Neuroscience · doi:10.1038/nn1198 · Cited by 482
Li, L. M., Uehara, K., & Hanakawa, T. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00181 · Cited by 477
Does anticipation of pain affect cortical nociceptive systems?
Porro, C. A., Baraldi, P., Pagnoni, G., Serafini, M., Facchin, P., Maieron, M., & Nichelli, P. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-08-03206.2002 · Cited by 469
The metabolic topography of parkinsonism
Eidelberg, D., Moeller, J. R., Dhawan, V., Spetsieris, P., Takikawa, S., Ishikawa, T., Chaly, T., Robeson, W., Margouleff, D., Przedborski, S., et al. (1994) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1994.99 · Cited by 455
Human temporal-lobe response to vocal sounds
Belin, P., Zatorre, R. J., & Ahad, P. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00084-2 · Cited by 452
Seifritz, E., Esposito, F., Neuhoff, J. G., Lüthi, A., Mustovic, H., Dammann, G., von Bardeleben, U., Radue, E. W., Cirillo, S., Tedeschi, G., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00697-8 · Cited by 373
Schleicher, A., Amunts, K., Geyer, S., Morosan, P., & Zilles, K. (1999) · NeuroImage · doi:10.1006/nimg.1998.0385 · Cited by 353
Three-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., Christodoulou, J. A., Triantafyllou, C., Gabrieli, J. D. E., & Fischl, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.075 · Cited by 281
Affective Neural Circuitry During Facial Emotion Processing in Pediatric Bipolar Disorder
Pavuluri, M. N., O‘Connor, M. M., Harral, E., & Sweeney, J. A. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.07.011 · Cited by 268
Evaluation of volume-based and surface-based brain image registration methods
Klein, A., Ghosh, S. S., Avants, B., Yeo, B. T. T., Fischl, B., Ardekani, B., Gee, J. C., Mann, J. J., & Parsey, R. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.091 · Cited by 255
Yucel, M., Stuart, G. W., Maruff, P., Velakoulis, D., Crowe, S. F., Savage, G., & Pantelis, C. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.1.17 · Cited by 222
Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way
Willett, F. R., Deo, D. R., Avansino, D. T., Rezaii, P., Hochberg, L. R., Henderson, J. M., & Shenoy, K. V. (2020) · Cell · doi:10.1016/j.cell.2020.02.043 · Cited by 171
Neuroanatomical correlates of intelligence
Luders, E., Narr, K. L., Thompson, P. M., & Toga, A. W. (2009) · Intelligence · doi:10.1016/j.intell.2008.07.002 · Cited by 194
Locating the initial stages of speech-sound processing in human temporal cortex
Uppenkamp, S., Johnsrude, I. S., Norris, D., Marslen-Wilson, W., & Patterson, R. D. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.004 · Cited by 189
Neuroimaging of Language: Why Hasn't a Clearer Picture Emerged?
Fedorenko, E., & Kanwisher, N. (2009) · Language and Linguistics Compass · doi:10.1111/j.1749-818x.2009.00143.x · Cited by 117
Chronic fluoxetine treatment increases the expression of PSA-NCAM in the medial prefrontal cortex
Varea, E., Blasco-Ibáñez, J. M., Gómez-Climent, M. Á., Castillo-Gómez, E., Crespo, C., Martínez-Guijarro, F. J., & Nácher, J. (2007) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301183 · Cited by 96
Dickson, J., Drury, H., & Van Essen, D. C. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0913 · Cited by 54
Exploiting human anatomical variability as a link between genome and cognome
Leonard, C. M., Eckert, M. A., & Kuldau, J. M. (2006) · Genes, Brain and Behavior · doi:10.1111/j.1601-183x.2006.00196.x · Cited by 38
Reproducible sampling regimen for specific cortical regions: application to speech-associated areas
Harasty, J., Halliday, G. M., & Kril, J. J. (1996) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(96)00005-2 · Cited by 23
Metadata
- Authors
- Rademacher, J., Caviness, V. S., Steinmetz, H., & Galaburda, A. M.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 1993
- Volume
- 3
- Issue
- 4
- Pages
- 313-329
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2152763681
- Cited by
- 612
- References
- 1
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- closed
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