The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Ultrastructural Analysis of Hippocampal Neuropil from the Connectomics Perspective
Open accessAbstract
Complete reconstructions of vertebrate neuronal circuits on the synaptic level require new approaches. Here, serial section transmission electron microscopy was automated to densely reconstruct four volumes, totaling 670μm3, from the rat hippocampus as proving grounds to determine when axo-dendritic proximities predict synapses. First, in contrast with Peters’ rule, the density of axons within reach of dendritic spines did not predict synaptic density along dendrites because the fraction of axons making synapses was variable. Second, an axo-dendritic touch did not predict a synapse; nevertheless, the density of synapses along a hippocampal dendrite appeared to be a universal fraction, 0.2, of the density of touches. Finally, the largest touch between an axonal bouton and spine indicated the site of actual synapses with about 80% precision, but would miss about half of all synapses. Thus, it will be difficult to predict synaptic connectivity using data sets missing ultrastructural details that distinguish between axo-dendritic touches and bona fide synapses.
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Cites
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
The structure of the nervous system of the nematode Caenorhabditis elegans
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589 · cited 2×
“from the Connectomics Perspective”
MethodTransgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876 · cited 1×
“This conclusion is based on the observation that astrocytes span regions larger than reconstructed volumes and tile neuropil without substantial overlap between neighboring astrocytes (Bushong et al., 2002; Livet et al., 2007).”
BackgroundSerial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
Matsuzaki, M., Ellis-Davies, G. C. R., Nemoto, T., Miyashita, Y., Iino, M., & Kasai, H. (2001) · Nature Neuroscience · doi:10.1038/nn736 · Cited by 1,563 · cited 1×
“Moreover, the geometrical dimensions of hippocampal synapses correlate with the physiologically defined synaptic weight (Matsuzaki et al., 2001; Kasai et al., 2003).”
BackgroundNeuroligin Expressed in Nonneuronal Cells Triggers Presynaptic Development in Contacting Axons
Scheiffele, P., Fan, J., Choih, J., Fetter, R., & Serafini, T. (2000) · Cell · doi:10.1016/s0092-8674(00)80877-6 · Cited by 1,218
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · cited 5×
“Perhaps the oldest method for inferring synaptic connectivity used light microscopy and relies on counting proximities between axons and dendrites that can be bridged by a spine, or so-called potential synapses (Peters and Feldman, 1976; Braitenberg and Schuz, 1998; Stepanyants and Chklovskii, 2005).”
BackgroundMethodInfluentialHarris, K., & Stevens, J. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-08-02982.1989 · Cited by 1,073
Self-citationThe subcellular organization of neocortical excitatory connections
Petreanu, L., Mao, T., Sternson, S. M., & Svoboda, K. (2009) · Nature · doi:10.1038/nature07709 · Cited by 1,047
Quantitative ultrastructural analysis of hippocampal excitatory synapses
Schikorski, T., & Stevens, C. F. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05858.1997 · Cited by 997
Cited by
Saturated Reconstruction of a Volume of Neocortex
Kasthuri, N., Hayworth, K. J., Berger, D. R., Schalek, R. L., Conchello, J. A., Knowles-Barley, S., Lee, D., Vázquez-Reina, A., Kaynig, V., Jones, T. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.054 · Cited by 1,044
Connectomic reconstruction of the inner plexiform layer in the mouse retina
Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. (2013) · Nature · doi:10.1038/nature12346 · Cited by 997
The Connectome of a Decision-Making Neural Network
Jarrell, T. A., Wang, Y., Bloniarz, A. E., Brittin, C. A., Xu, M., Thomson, J. N., Albertson, D. G., Hall, D. H., & Emmons, S. W. (2012) · Science · doi:10.1126/science.1221762 · Cited by 474
Sterling, P., & Laughlin, S. (2015) · doi:10.7551/mitpress/9780262028707.001.0001 · Cited by 482
Impermanence of dendritic spines in live adult CA1 hippocampus
Attardo, A., Fitzgerald, J. E., & Schnitzer, M. J. (2015) · Nature · doi:10.1038/nature14467 · Cited by 399
Metadata
- Authors
- Mishchenko, Y., Hu, T., Spacek, J., Mendenhall, J., Harris, K. M., & Chklovskii, D. B.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 67
- Issue
- 6
- Pages
- 1009-1020
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2114538750
- Cited by
- 275
- References
- 18
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mishchenko, Y., Hu, T., Spacek, J., Mendenhall, J., Harris, K. M., & Chklovskii, D. B. (2010). Ultrastructural Analysis of Hippocampal Neuropil from the Connectomics Perspective. Neuron. https://doi.org/10.1016/j.neuron.2010.08.014
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