The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Brain-wide 3D imaging of neuronal activity in Caenorhabditis elegans with sculpted light
Open accessAbstract
Recent efforts in neuroscience research have been aimed at obtaining detailed anatomical neuronal wiring maps as well as information on how neurons in these networks engage in dynamic activities. Although the entire connectivity map of the nervous system of Caenorhabditis elegans has been known for more than 25 years, this knowledge has not been sufficient to predict all functional connections underlying behavior. To approach this goal, we developed a two-photon technique for brain-wide calcium imaging in C. elegans, using wide-field temporal focusing (WF-TeFo). Pivotal to our results was the use of a nuclear-localized, genetically encoded calcium indicator, NLS-GCaMP5K, that permits unambiguous discrimination of individual neurons within the densely packed head ganglia of C. elegans. We demonstrate near-simultaneous recording of activity of up to 70% of all head neurons. In combination with a lab-on-a-chip device for stimulus delivery, this method provides an enabling platform for establishing functional maps of neuronal networks.
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Cites
The structure of the nervous system of the nematode Caenorhabditis elegans
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Connectomic reconstruction of the inner plexiform layer in the mouse retina
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A visual motion detection circuit suggested by Drosophila connectomics
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Neuropeptide feedback modifies odor-evoked dynamics in Caenorhabditis elegans olfactory neurons
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Compartmentalized calcium dynamics in a C. elegans interneuron encode head movement
Hendricks, M., Ha, H., Maffey, N., & Zhang, Y. (2012) · Nature · doi:10.1038/nature11081 · Cited by 173
The quest for action potentials in C. elegans neurons hits a plateau
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In vivo imaging of neural activity
Yang, W., & Yuste, R. (2017) · Nature Methods · doi:10.1038/nmeth.4230 · Cited by 406
Whole-brain activity maps reveal stereotyped, distributed networks for visuomotor behavior
Portugues, R., Feierstein, C. E., Engert, F., & Orger, M. B. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.019 · Cited by 305
Real-time volumetric microscopy of in vivo dynamics and large-scale samples with SCAPE 2.0
Voleti, V., Patel, K. B., Li, W., Perez Campos, C., Bharadwaj, S., Yu, H., Ford, C., Casper, M. J., Yan, R. W., Liang, W., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0579-4 · Cited by 320
Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning
Vogelstein, J. T., Park, Y., Ohyama, T., Kerr, R. A., Truman, J. W., Priebe, C. E., & Zlatic, M. (2014) · Science · doi:10.1126/science.1250298 · Cited by 218
Chen, X., Mu, Y., Hu, Y., Kuan, A. T., Nikitchenko, M., Randlett, O., Chen, A. B., Gavornik, J. P., Sompolinsky, H., Engert, F., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.042 · Cited by 199
Metadata
- Authors
- Schrödel, T., Prevedel, R., Aumayr, K., Zimmer, M., & Vaziri, A.
- Venue
- Nature Methods
- Published
- 2013-09-08
- Volume
- 10
- Issue
- 10
- Pages
- 1013-1020
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2067422832
- Cited by
- 333
- References
- 6
- FWCI
- 16.89
- Type
- journal article
- Language
- en
- Open access
- green
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