The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Chronic Cellular Imaging of Entire Cortical Columns in Awake Mice Using Microprisms
Open accessAbstract
Summary Two-photon imaging of cortical neurons in vivo has provided unique insights into the structure, function, and plasticity of cortical networks, but this method does not currently allow simultaneous imaging of neurons in the superficial and deepest cortical layers. Here, we describe a simple modification that enables simultaneous, long-term imaging of all cortical layers. Using a chronically implanted glass microprism in barrel cortex, we could image the same fluorescently labeled deeplayer pyramidal neurons across their entire somatodendritic axis for several months. We could also image visually evoked and endogenous calcium activity in hundreds of cell bodies or long-range axon terminals, across all six layers in visual cortex of awake mice. Electrophysiology and calcium imaging of evoked and endogenous activity near the prism face were consistent across days and comparable with previous observations. These experiments extend the reach of in vivo two-photon imaging to chronic, simultaneous monitoring of entire cortical columns.
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Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
Cellular and network mechanisms of rhythmic recurrent activity in neocortex
Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539
Self-citationModulation 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
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
The 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
Biran, R., Martin, D. C., & Tresco, P. A. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.04.020 · Cited by 893
Sensorimotor mismatch signals in primary visual cortex of the behaving mouse
Keller, G. B., Bonhoeffer, T., & Hübener, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.040 · Cited by 668
Gain control by layer six in cortical circuits of vision
Olsen, S. R., Bortone, D. S., Adesnik, H., & Scanziani, M. (2012) · Nature · doi:10.1038/nature10835 · Cited by 539
Functional specialization of mouse higher visual cortical areas
Andermann, M. L., Kerlin, A. M., Roumis, D. K., Glickfeld, L. L., & Reid, R. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.013 · Cited by 406
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Zeng, H., & Sanes, J. R. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.85 · Cited by 841
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Moda-Sava, R. N., Murdock, M. H., Parekh, P. K., Fetcho, R. N., Huang, B. S., Huynh, T. N., Witztum, J., Shaver, D. C., Rosenthal, D. L., Alway, E. J., et al. (2019) · Science · doi:10.1126/science.aat8078 · Cited by 643
Kuzum, D., Takano, H., Shim, E., Reed, J. C., Juul, H., Richardson, A. G., de Vries, J., Bink, H., Dichter, M. A., Lucas, T. H., et al. (2014) · Nature Communications · doi:10.1038/ncomms6259 · Cited by 546
Adolescent mental health—opportunity and obligation
Lee, F. S., Heimer, H., Giedd, J. N., Lein, E. S., Šestan, N., Weinberger, D. R., & Casey, B. J. (2014) · Science · doi:10.1126/science.1260497 · Cited by 531
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Yang, W., & Yuste, R. (2017) · Nature Methods · doi:10.1038/nmeth.4230 · Cited by 406
Metadata
- Authors
- Andermann, M. L., Gilfoy, N. B., Goldey, G. J., Sachdev, R. N. S., Wölfel, M., McCormick, D. A., Reid, R. C., & Levene, M. J.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 80
- Issue
- 4
- Pages
- 900-913
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2067452963
- Cited by
- 227
- References
- 13
- FWCI
- 9.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Andermann, M. L., Gilfoy, N. B., Goldey, G. J., Sachdev, R. N. S., Wölfel, M., McCormick, D. A., Reid, R. C., & Levene, M. J. (2013). Chronic Cellular Imaging of Entire Cortical Columns in Awake Mice Using Microprisms. Neuron. https://doi.org/10.1016/j.neuron.2013.07.052
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