The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
Critical periods in amblyopia
Abstract
The shift in ocular dominance (OD) of binocular neurons induced by monocular deprivation is the canonical model of synaptic plasticity confined to a postnatal critical period. Developmental constraints on this plasticity not only lend stability to the mature visual cortical circuitry but also impede the ability to recover from amblyopia beyond an early window. Advances with mouse models utilizing the power of molecular, genetic, and imaging tools are beginning to unravel the circuit, cellular, and molecular mechanisms controlling the onset and closure of the critical periods of plasticity in the primary visual cortex (V1). Emerging evidence suggests that mechanisms enabling plasticity in juveniles are not simply lost with age but rather that plasticity is actively constrained by the developmental up-regulation of molecular ‘brakes’. Lifting these brakes enhances plasticity in the adult visual cortex, and can be harnessed to promote recovery from amblyopia. The reactivation of plasticity by experimental manipulations has revised the idea that robust OD plasticity is limited to early postnatal development. Here, we discuss recent insights into the neurobiology of the initiation and termination of critical periods and how our increasingly mechanistic understanding of these processes can be leveraged toward improved clinical treatment of adult amblyopia.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For some behaviors there are “critical” periods in behavioral development during which individuals are more receptive to environmental influence (72), and such periods may coincide with critical periods in morphological development such as expansion of particular brain regions.”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [72]
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
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
SINGLE-CELL RESPONSES IN STRIATE CORTEX OF KITTENS DEPRIVED OF VISION IN ONE EYE
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.1003 · Cited by 2,628
Reactivation of Ocular Dominance Plasticity in the Adult Visual Cortex
Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J. W., & Maffei, L. (2002) · Science · doi:10.1126/science.1072699 · Cited by 1,679
Plasticity of ocular dominance columns in monkey striate cortex
Hubel, D. H., Wiesel, T. N., LeVay, S., Barlow, H. B., & Gaze, R. M. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0050 · Cited by 1,642
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483 · cited 1×
“Locomotion activates VIP interneurons, which enhances neural activity in V1 (Niell & Stryker, 2010) and promotes adult plasticity by increasing inhibition onto other interneuron subtypes that target pyramidal neurons (Fu et al., 2014; Fu et al., 2015).”
BackgroundPfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353
Huang, Z. J., Kirkwood, A., Pizzorusso, T., Porciatti, V., Morales, B., Bear, M. F., Maffei, L., & Tonegawa, S. (1999) · Cell · doi:10.1016/s0092-8674(00)81509-3 · Cited by 1,198
Cortical interneurons that specialize in disinhibitory control
Pi, H.-J., Hangya, B., Kvitsiani, D., Sanders, J. I., Huang, Z. J., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12676 · Cited by 1,136
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937
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-citation
Research works printed but not linked: 1
- Daw, 2013, Visual Development
Cited by
Psychedelics reopen the social reward learning critical period
Nardou, R., Sawyer, E., Song, Y. J., Wilkinson, M., Padovan-Hernandez, Y., de Deus, J. L., Wright, N., Lama, C., Faltin, S., Goff, L. A., et al. (2023) · Nature · doi:10.1038/s41586-023-06204-3 · Cited by 358
Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129
Gomes, F. V., Zhu, X., & Grace, A. A. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0514-1 · Cited by 91
Psychedelics and Neural Plasticity: Therapeutic Implications
Grieco, S. F., Castrén, E., Knudsen, G. M., Kwan, A. C., Olson, D. E., Zuo, Y., Holmes, T. C., & Xu, X. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.1121-22.2022 · Cited by 82
“…et al., 2007; Maya Vetencourt et al., 2008; Baroncelli et al., 2010; Montey et al., 2013; Kaneko and Stryker, 2014; Eaton et al., 2016; Greifzu et al., 2016; Gu et al., 2016; Hensch and Quinlan, 2018; Umemori et al., 2018; Steinzeig et al., 2019; Casarotto et al., 2021; Lesnikova et al., 2021).”
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Chondroitin 6-sulphate is required for neuroplasticity and memory in ageing
Yang, S., Gigout, S., Molinaro, A., Naito-Matsui, Y., Hilton, S., Foscarin, S., Nieuwenhuis, B., Tan, C. L., Verhaagen, J., Pizzorusso, T., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01208-9 · Cited by 70
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
Metadata
- Authors
- HENSCH, T. K., & QUINLAN, E. M.
- Venue
- Visual Neuroscience
- Publisher
- Maximum Academic Press
- Published
- 2018
- Volume
- 35
- ISSN
- 0952-5238
- 1469-8714
- PMC
- PMC6047524
- Cited by
- 206
- References
- 146
- Language
- en
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.
