The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses
Open accessAbstract
This protocol describes how to use miniature, integrated microscopes in conjunction with an implantable microendoscopic lens to guide light into and out of the brain, thereby enabling optical access to the brain. Genetically encoded calcium indicators for visualizing dynamic cellular activity have greatly expanded our understanding of the brain. However, owing to the light-scattering properties of the brain, as well as the size and rigidity of traditional imaging technology, in vivo calcium imaging has been limited to superficial brain structures during head-fixed behavioral tasks. These limitations can now be circumvented by using miniature, integrated microscopes in conjunction with an implantable microendoscopic lens to guide light into and out of the brain, thus permitting optical access to deep brain (or superficial) neural ensembles during naturalistic behaviors. Here we describe steps to conduct such imaging studies using mice. However, we anticipate that the protocol can be easily adapted for use in other small vertebrates. Successful completion of this protocol will permit cellular imaging of neuronal activity and the generation of data sets with sufficient statistical power to correlate neural activity with stimulus presentation, physiological state and other aspects of complex behavioral tasks. This protocol takes 6–11 weeks to complete.
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
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
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
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155
Principles of two-photon excitation microscopy and its applications to neuroscience
Svoboda, K., & Yasuda, R. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.019 · Cited by 1,027
Distinct extended amygdala circuits for divergent motivational states
Jennings, J. H., Sparta, D. R., Stamatakis, A. M., Ung, R. L., Pleil, K. E., Kash, T. L., & Stuber, G. D. (2013) · Nature · doi:10.1038/nature12041 · Cited by 704
Self-citationNeurons for hunger and thirst transmit a negative-valence teaching signal
Betley, J. N., Xu, S., Cao, Z. F. H., Gong, R., Magnus, C. J., Yu, Y., & Sternson, S. M. (2015) · Nature · doi:10.1038/nature14416 · Cited by 704
Stamatakis, A. M., Jennings, J. H., Ung, R. L., Blair, G. A., Weinberg, R. J., Neve, R. L., Boyce, F., Mattis, J., Ramakrishnan, C., Deisseroth, K., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.023 · Cited by 364
Self-citationCell-Type-Specific Activity in Prefrontal Cortex during Goal-Directed Behavior
Pinto, L., & Dan, Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.021 · Cited by 323
Tools for Resolving Functional Activity and Connectivity within Intact Neural Circuits
Jennings, J. H., & Stuber, G. D. (2014) · Current Biology · doi:10.1016/j.cub.2013.11.042 · Cited by 54
Self-citation
Cited by
Neuronal cell-type classification: challenges, opportunities and the path forward
Zeng, H., & Sanes, J. R. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.85 · Cited by 841
Hippocampal neurogenesis confers stress resilience by inhibiting the ventral dentate gyrus
Anacker, C., Luna, V. M., Stevens, G. S., Millette, A., Shores, R., Jimenez, J. C., Chen, B., & Hen, R. (2018) · Nature · doi:10.1038/s41586-018-0262-4 · Cited by 605
Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice
Zong, W., Wu, R., Li, M., Hu, Y., Li, Y., Li, J., Rong, H., Wu, H., Xu, Y., Lu, Y., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4305 · Cited by 513
Self-citationPrefrontal cortex output circuits guide reward seeking through divergent cue encoding
Otis, J. M., Namboodiri, V. M. K., Matan, A. M., Voets, E. S., Mohorn, E. P., Kosyk, O., McHenry, J. A., Robinson, J. E., Resendez, S. L., Rossi, M. A., et al. (2017) · Nature · doi:10.1038/nature21376 · Cited by 412
Self-citationProgress in Brain Computer Interface: Challenges and Opportunities
Saha, S., Mamun, K. A., Ahmed, K., Mostafa, R., Naik, G. R., Darvishi, S., Khandoker, A. H., & Baumert, M. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.578875 · Cited by 365
Metadata
- Authors
- Resendez, S. L., Jennings, J. H., Ung, R. L., Namboodiri, V. M. K., Zhou, Z. C., Otis, J. M., Nomura, H., McHenry, J. A., Kosyk, O., & Stuber, G. D.
- Venue
- Nature Protocols
- Published
- 2016-02-25
- Volume
- 11
- Issue
- 3
- Pages
- 566-597
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2274452385
- Cited by
- 324
- References
- 9
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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.