The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Spinogenesis and Pruning Scales across Functional Hierarchies
Open accessAbstract
Spinogenesis and synaptic pruning during development are widely believed to subserve connectional specificity in the mature CNS via Hebbian-type reinforcement. Refinement of neuronal circuit through this “use it or lose it” principle is considered critical for brain development. Here we demonstrate that the magnitude of spinogenesis and pruning in the basal dendritic trees of pyramidal cells differ dramatically among sensory, association, and executive cortex. Moreover, somewhat counterintuitively, we demonstrate that the dendritic trees of pyramidal cells in the primary visual area actually lose more spines than they grow following the onset of visual experience. The present findings reveal that the process of synaptic refinement differs not only according to time, but also location.
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Citations
Cites
Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex
Rakic, P., Bourgeois, J.-P., Eckenhoff, M. F., Zecevic, N., & Goldman-Rakic, P. S. (1986) · Science · doi:10.1126/science.3952506 · Cited by 1,133 · cited 5×
“Presently available data in the primate suggest that there may be different temporal profiles for spinogenesis and pruning in different regions of the cerebral cortex (Huttenlocher and Dabholkar, 1997), and that these profiles may vary among species (Rakic et al., 1986).”
BackgroundResultInfluentialDeFelipe, J., & Fariñas, I. (1992) · Progress in Neurobiology · doi:10.1016/0301-0082(92)90015-7 · Cited by 975
Do thin spines learn to be mushroom spines that remember?
Bourne, J., & Harris, K. M. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.04.009 · Cited by 843
Apical dendritic spines of the visual cortex and light deprivation in the mouse
Valverde, P. (1967) · Experimental Brain Research · doi:10.1007/bf00237559 · Cited by 483
Cited by
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411
The evolution of distributed association networks in the human brain
Buckner, R. L., & Krienen, F. M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.017 · Cited by 836
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811
Regional aerobic glycolysis in the human brain
Vaishnavi, S. N., Vlassenko, A. G., Rundle, M. M., Snyder, A. Z., Mintun, M. A., & Raichle, M. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010459107 · Cited by 738
Prolonged myelination in human neocortical evolution
Miller, D. J., Duka, T., Stimpson, C. D., Schapiro, S. J., Baze, W. B., McArthur, M. J., Fobbs, A. J., Sousa, A. M. M., Šestan, N., Wildman, D. E., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117943109 · Cited by 699
Metadata
- Authors
- Elston, G. N., Oga, T., & Fujita, I.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-03-11
- Volume
- 29
- Issue
- 10
- Pages
- 3271-3275
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2012370457
- Cited by
- 159
- References
- 4
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Elston, G. N., Oga, T., & Fujita, I. (2009). Spinogenesis and Pruning Scales across Functional Hierarchies. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.5216-08.2009
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
