The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Anatomical Correlates of Functional Plasticity in Mouse Visual Cortex
Open accessAbstract
Much of what is known about activity-dependent plasticity comes from studies of the primary visual cortex and its inputs in higher mammals, but the molecular bases remain largely unknown. Similar functional plasticity takes place during a critical period in the visual cortex of the mouse, an animal in which genetic experiments can readily be performed to investigate the underlying molecular and cellular events. The experiments of this paper were directed toward understanding whether anatomical changes accompany functional plasticity in the developing visual cortex of the mouse, as they do in higher mammals. In normal mice, transneuronal label after an eye injection clearly delineated the monocular and binocular zones of area 17. Intrinsic signal optical imaging also showed monocular and binocular zones of area 17 but revealed no finer organization of ocular dominance or orientation selectivity. In normal animals, single geniculocortical afferents serving the contralateral eye showed great heterogeneity and no clustering consistent with the presence of ocular dominance patches. Growth and elaboration of terminal arbor continues beyond postnatal day 40 (P40), after the peak of the critical period. After prolonged monocular deprivation (MD) from P20 to P60, transneuronal labeling showed that the projection serving the ipsilateral eye was severely affected, whereas the effect on the contralateral eye’s pathway was inconsistent. Optical imaging also showed profound effects of deprivation, particularly in the ipsilateral pathway, and microelectrode studies confirmed continued functional plasticity past P40. Reconstruction of single afferents showed that MD from P20 to P40 promoted the growth of the open eye’s geniculocortical connections without causing the closed eye’s contralateral projection to shrink, whereas MD from P20 to P60 caused an arrest of growth of deprived arbors. Our findings reveal numerous similarities between mouse and higher mammals in development and plasticity, along with some differences. We discuss the factors that may be responsible for these differences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
The period of susceptibility to the physiological effects of unilateral eye closure in kittens
Hubel, D. H., & Wiesel, T. N. (1970) · The Journal of Physiology · doi:10.1113/jphysiol.1970.sp009022 · Cited by 3,030
The development of ocular dominance columns in normal and visually deprived monkeys
Le Vay, S., Wiesel, T. N., & Hubel, D. H. (1980) · Journal of Comparative Neurology · doi:10.1002/cne.901910102 · Cited by 1,123
Local GABA Circuit Control of Experience-Dependent Plasticity in Developing Visual Cortex
Hensch, T. K., Fagiolini, M., Mataga, N., Stryker, M. P., Baekkeskov, S., & Kash, S. F. (1998) · Science · doi:10.1126/science.282.5393.1504 · Cited by 910
Self-citationOcular dominance in layer IV of the cat's visual cortex and the effects of monocular deprivation.
Shatz, C. J., & Stryker, M. P. (1978) · The Journal of Physiology · doi:10.1113/jphysiol.1978.sp012421 · Cited by 691
Self-citationApical 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
Hensch, T. K., Gordon, J. A., Brandon, E. P., McKnight, G. S., Idzerda, R. L., & Stryker, M. P. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-06-02108.1998 · Cited by 117
Self-citationSimmons, P. A., Lemmon, V., & Pearlman, A. L. (1982) · Journal of Comparative Neurology · doi:10.1002/cne.902110308 · Cited by 104
Bonhoeffer, T., & Grinvald, A. (1993) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4899-2468-1_7 · Cited by 13
Cited by
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
Long-term dendritic spine stability in the adult cortex
Grutzendler, J., Kasthuri, N., & Gan, W.-B. (2002) · Nature · doi:10.1038/nature01276 · Cited by 1,198
How the Timing and Quality of Early Experiences Influence the Development of Brain Architecture
Fox, S. E., Levitt, P., & Nelson, C. A. (2010) · Child Development · doi:10.1111/j.1467-8624.2009.01380.x · Cited by 1,088
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081
Self-citationEconomic, neurobiological, and behavioral perspectives on building America's future workforce
Knudsen, E. I., Heckman, J. J., Cameron, J. L., & Shonkoff, J. P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600888103 · Cited by 1,123
Synaptic mechanisms for plasticity in neocortex
Feldman, D. E. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135516 · Cited by 704
Development and plasticity of the primary visual cortex
Espinosa, J. S., & Stryker, M. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.009 · Cited by 672
Self-citationBalancing Plasticity/Stability Across Brain Development
Takesian, A. E., & Hensch, T. K. (2013) · Progress in Brain Research · doi:10.1016/b978-0-444-63327-9.00001-1 · Cited by 667
Sugiyama, S., Di Nardo, A. A., Aizawa, S., Matsuo, I., Volovitch, M., Prochiantz, A., & Hensch, T. K. (2008) · Cell · doi:10.1016/j.cell.2008.05.054 · Cited by 491
Brain-Derived Neurotrophic Factor Is Required for the Maintenance of Cortical Dendrites
Gorski, J. A., Zeiler, S. R., Tamowski, S., & Jones, K. R. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-17-06856.2003 · Cited by 411
Developmental regulation of spine motility in the mammalian central nervous system
Dunaevsky, A., Tashiro, A., Majewska, A., Mason, C., & Yuste, R. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.23.13438 · Cited by 412
A disinhibitory microcircuit initiates critical-period plasticity in the visual cortex
Kuhlman, S. J., Olivas, N. D., Tring, E., Ikrar, T., Xu, X., & Trachtenberg, J. T. (2013) · Nature · doi:10.1038/nature12485 · Cited by 412
Critical-Period Plasticity in the Visual Cortex
Levelt, C. N., & Hübener, M. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113813 · Cited by 402
Experience-dependent pruning of dendritic spines in visual cortex by tissue plasminogen activator
Mataga, N., Mizuguchi, Y., & Hensch, T. K. (2004) · Neuron · doi:10.1016/j.neuron.2004.11.028 · Cited by 371
Homeostatic Regulation of Eye-Specific Responses in Visual Cortex during Ocular Dominance Plasticity
Mrsic-Flogel, T. D., Hofer, S. B., Ohki, K., Reid, R. C., Bonhoeffer, T., & Hübener, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.028 · Cited by 330
Critical period revisited: impact on vision
Morishita, H., & Hensch, T. K. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.05.009 · Cited by 311
Dendritic Spine Dynamics Are Regulated by Monocular Deprivation and Extracellular Matrix Degradation
Oray, S., Majewska, A., & Sur, M. (2004) · Neuron · doi:10.1016/j.neuron.2004.12.001 · Cited by 296
Excitatory-inhibitory balance and critical period plasticity in developing visual cortex
Hensch, T. K., & Fagiolini, M. (2005) · Progress in Brain Research · doi:10.1016/s0079-6123(04)47009-5 · Cited by 267
Self-citationStructural basis for the role of inhibition in facilitating adult brain plasticity
Chen, J. L., Lin, W. C., Cha, J. W., So, P. T., Kubota, Y., & Nedivi, E. (2011) · Nature Neuroscience · doi:10.1038/nn.2799 · Cited by 214
Classical MHCI Molecules Regulate Retinogeniculate Refinement and Limit Ocular Dominance Plasticity
Datwani, A., McConnell, M. J., Kanold, P. O., Micheva, K. D., Busse, B., Shamloo, M., Smith, S. J., & Shatz, C. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.10.015 · Cited by 212
HENSCH, T. K., & QUINLAN, E. M. (2018) · Visual Neuroscience · doi:10.1017/s0952523817000219 · Cited by 206
A Laminar Organization for Selective Cortico-Cortical Communication
D’Souza, R. D., & Burkhalter, A. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00071 · Cited by 138
A period of structural plasticity at the axon initial segment in developing visual cortex
Gutzmann, A., Ergül, N., Grossmann, R., Schultz, C., Wahle, P., & Engelhardt, M. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00011 · Cited by 117
A dynamic zone defines interneuron remodeling in the adult neocortex
Lee, W.-C. A., Chen, J. L., Huang, H., Leslie, J. H., Amitai, Y., So, P. T., & Nedivi, E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810149105 · Cited by 87
Xu, X., Olivas, N. D., Ikrar, T., Peng, T., Holmes, T. C., Nie, Q., & Shi, Y. (2016) · The Journal of Physiology · doi:10.1113/jp271891 · Cited by 83
From brain formation to plasticity: Insights on Otx2 homeoprotein
Sugiyama, S., Prochiantz, A., & Hensch, T. K. (2009) · Development, Growth & Differentiation · doi:10.1111/j.1440-169x.2009.01093.x · Cited by 77
Subanesthetic Ketamine Reactivates Adult Cortical Plasticity to Restore Vision from Amblyopia
Grieco, S. F., Qiao, X., Zheng, X., Liu, Y., Chen, L., Zhang, H., Yu, Z., Gavornik, J. P., Lai, C., Gandhi, S. P., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.008 · Cited by 60
The role of GABAergic inhibition in ocular dominance plasticity
Heimel, J. A., van Versendaal, D., & Levelt, C. N. (2011) · Neural Plasticity · doi:10.1155/2011/391763 · Cited by 57
Kelly, E. A., Russo, A. S., Jackson, C. D., Lamantia, C. E., & Majewska, A. K. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00369 · Cited by 48
Multi-layered maps of neuropil with segmentation-guided contrastive learning
Dorkenwald, S., Li, P. H., Januszewski, M., Berger, D. R., Maitin-Shepard, J., Bodor, A. L., Collman, F., Schneider-Mizell, C. M., da Costa, N. M., Lichtman, J. W., et al. (2023) · Nature Methods · doi:10.1038/s41592-023-02059-8 · Cited by 30
Nagakura, I., Van Wart, A., Petravicz, J., Tropea, D., & Sur, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0189-14.2014 · Cited by 18
Metadata
- Authors
- Antonini, A., Fagiolini, M., & Stryker, M. P.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-06-01
- Volume
- 19
- Issue
- 11
- Pages
- 4388-4406
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2131421829
- Cited by
- 343
- References
- 9
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.