The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics
Open accessAbstract
Despite the increasing use of optogenetics in vivo, the effects of direct light exposure to brain tissue are understudied. Of particular concern is the potential for heat induced by prolonged optical stimulation. We demonstrate that high-intensity light, delivered through an optical fiber, is capable of elevating firing rate locally, even in the absence of opsin expression. Predicting the severity and spatial extent of any temperature increase during optogenetic stimulation is therefore of considerable importance. Here, we describe a realistic model that simulates light and heat propagation during optogenetic experiments. We validated the model by comparing predicted and measured temperature changes in vivo. We further demonstrate the utility of this model by comparing predictions for various wavelengths of light and fiber sizes, as well as testing methods for reducing heat effects on neural targets in vivo.
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
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 4,861
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
Pennes, H. H. (1948) · Journal of Applied Physiology · doi:10.1152/jappl.1948.1.2.93 · Cited by 4,646
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
Pennes, H. H. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.1.5 · Cited by 3,982
MCML—Monte Carlo modeling of light transport in multi-layered tissues
Wang, L., Jacques, S. L., & Zheng, L. (1995) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(95)01640-f · Cited by 3,324
Optogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
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
Optical-Thermal Response of Laser-Irradiated Tissue
(2011) · Springer eBooks · doi:10.1007/978-90-481-8831-4 · Cited by 1,424
Amygdala circuitry mediating reversible and bidirectional control of anxiety
Tye, K. M., Prakash, R., Kim, S.-Y., Fenno, L. E., Grosenick, L., Zarabi, H., Thompson, K. R., Gradinaru, V., Ramakrishnan, C., & Deisseroth, K. (2011) · Nature · doi:10.1038/nature09820 · Cited by 1,289
Aravanis, A. M., Wang, L.-P., Zhang, F., Meltzer, L. A., Mogri, M. Z., Schneider, M. B., & Deisseroth, K. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/s02 · Cited by 970
Mattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780
Cited by
Locus coeruleus and dopaminergic consolidation of everyday memory
Takeuchi, T., Duszkiewicz, A. J., Sonneborn, A., Spooner, P. A., Yamasaki, M., Watanabe, M., Smith, C. C., Fernández, G., Deisseroth, K., Greene, R. W., et al. (2016) · Nature · doi:10.1038/nature19325 · Cited by 827
Warm-Sensitive Neurons that Control Body Temperature
Tan, C. L., Cooke, E. K., Leib, D. E., Lin, Y.-C., Daly, G. E., Zimmerman, C. A., & Knight, Z. A. (2016) · Cell · doi:10.1016/j.cell.2016.08.028 · Cited by 402
A Materials Roadmap to Functional Neural Interface Design
Wellman, S. M., Eles, J. R., Ludwig, K. A., Seymour, J. P., Michelson, N. J., McFadden, W. E., Vazquez, A. L., & Kozai, T. D. Y. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701269 · Cited by 389
Dopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli
Menegas, W., Akiti, K., Amo, R., Uchida, N., & Watabe-Uchida, M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0222-1 · Cited by 382
Zhang, J., He, Y., Liang, S., Liao, X., Li, T., Qiao, Z., Chang, C., Jia, H., & Chen, X. (2021) · Nature Communications · doi:10.1038/s41467-021-23025-y · Cited by 371
Metadata
- Authors
- Stujenske, J. M., Spellman, T., & Gordon, J. A.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 12
- Issue
- 3
- Pages
- 525-534
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W1912996233
- Cited by
- 383
- References
- 39
- FWCI
- 11.82
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics. https://app.cochat.ai/papers/10.1016/j.celrep.2015.06.036
- The paper
- Stujenske, J. M., Spellman, T., & Gordon, J. A. (2015). Modeling the Spatiotemporal Dynamics of Light and Heat Propagation for In Vivo Optogenetics. Cell Reports. https://doi.org/10.1016/j.celrep.2015.06.036
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.
