The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Connection Patterns Distinguish 3 Regions of Human Parietal Cortex
Abstract
Three regions of the macaque inferior parietal lobule and adjacent lateral intraparietal sulcus (IPS) are distinguished by the relative strengths of their connections with the superior colliculus, parahippocampal gyrus, and ventral premotor cortex. It was hypothesized that connectivity information could therefore be used to identify similar areas in the human parietal cortex using diffusion-weighted imaging and probabilistic tractography. Unusually, the subcortical routes of the 3 projections have been reported in the macaque, so it was possible to compare not only the terminations of connections but also their course. The medial IPS had the highest probability of connection with the superior colliculus. The projection pathway resembled that connecting parietal cortex and superior colliculus in the macaque. The posterior angular gyrus and the adjacent superior occipital gyrus had a high probability of connection with the parahippocampal gyrus. The projection pathway resembled the macaque inferior longitudinal fascicle, which connects these areas. The ventral premotor cortex had a high probability of connection with the supramarginal gyrus and anterior IPS. The connection was mediated by the third branch of the superior longitudinal fascicle, which interconnects similar regions in the macaque. Human parietal areas have anatomical connections resembling those of functionally related macaque parietal areas.
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Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1×
“Using the T 1 -weighted anatomical image, prior to registration into standard Montreal Neurological Image (MNI) space (Collins and others 1994), masks were drawn over the superior colliculus in the left hemisphere of each subject's brain.”
MethodNon-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330
Self-citationVoluntary orienting is dissociated from target detection in human posterior parietal cortex
Corbetta, M., Kincade, J. M., Ollinger, J. M., McAvoy, M. P., & Shulman, G. L. (2000) · Nature Neuroscience · doi:10.1038/73009 · Cited by 1,816
SPACE AND ATTENTION IN PARIETAL CORTEX
Colby, C. L., & Goldberg, M. E. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.319 · Cited by 1,710
Intentional Maps in Posterior Parietal Cortex
Andersen, R. A., & Buneo, C. A. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142922 · Cited by 1,294 · cited 2×
“In the macaque, the parietal cortex is known to consist of a number of specialized subfields that are concerned with both eye and arm movements and receive somatosensory, auditory, and visual inputs (Colby and Goldberg 1999; Andersen and Buneo 2002).”
BackgroundMapping of Contralateral Space in Retinotopic Coordinates by a Parietal Cortical Area in Humans
Sereno, M. I., Pitzalis, S., & Martinez, A. (2001) · Science · doi:10.1126/science.1063695 · Cited by 682
Kincade, J. M., Abrams, R. A., Astafiev, S. V., Shulman, G. L., & Corbetta, M. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0236-05.2005 · Cited by 561
Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Stieltjes, B., Kaufmann, W. E., van Zijl, P. C. M., Fredericksen, K., Pearlson, G. D., Solaiyappan, M., & Mori, S. (2001) · NeuroImage · doi:10.1006/nimg.2001.0861 · Cited by 492
Croxson, P. L., Johansen-Berg, H., Behrens, T. E. J., Robson, M. D., Pinsk, M. A., Gross, C. G., Richter, W., Richter, M. C., Kastner, S., & Rushworth, M. F. S. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1311-05.2005 · Cited by 410
Self-citationDTI mapping of human brain connectivity: Statistical fibre tracking and virtual dissection
Hagmann, P., Thiran, J.-P., Jonasson, L., Vandergheynst, P., Clarke, S., Maeder, P., & Meuli, R. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00142-3 · Cited by 326
Thiel, C. M., Zilles, K., & Fink, G. R. (2005) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300633 · Cited by 182
Functional properties and interaction of the anterior and posterior intraparietal areas in humans
Shikata, E., Hamzei, F., Glauche, V., Koch, M., Weiller, C., Binkofski, F., & Büchel, C. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02540.x · Cited by 136
Cited by
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Self-citationDecoding subject-driven cognitive states with whole-brain connectivity patterns
Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr099 · Cited by 1,843
The Angular Gyrus: Multiple Functions and Multiple Subdivisions
Seghier, M. L. (2013) · The Neuroscientist · doi:10.1177/1073858412440596 · Cited by 1,585
A new neural framework for visuospatial processing
Kravitz, D. J., Saleem, K. S., Baker, C. I., & Mishkin, M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3008 · Cited by 1,325
Predictive coding: an account of the mirror neuron system
Kilner, J. M., Friston, K. J., & Frith, C. D. (2007) · Cognitive Processing · doi:10.1007/s10339-007-0170-2 · Cited by 1,134
Metadata
- Authors
- Rushworth, M. F. S., Behrens, T. E. J., & Johansen-Berg, H.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-11-23
- Volume
- 16
- Issue
- 10
- Pages
- 1418-1430
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2101461002
- Cited by
- 382
- References
- 14
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- closed
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