The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Neural signal propagation atlas of Caenorhabditis elegans
Open accessAbstract
. Here, to better understand the relationship between the structure and the function of a nervous system, we systematically measure signal propagation in 23,433 pairs of neurons across the head of the nematode Caenorhabditis elegans by direct optogenetic activation and simultaneous whole-brain calcium imaging. We measure the sign (excitatory or inhibitory), strength, temporal properties and causal direction of signal propagation between these neurons to create a functional atlas. We find that signal propagation differs from model predictions that are based on anatomy. Using mutants, we show that extrasynaptic signalling not visible from anatomy contributes to this difference. We identify many instances of dense-core-vesicle-dependent signalling, including on timescales of less than a second, that evoke acute calcium transients-often where no direct wired connection exists but where relevant neuropeptides and receptors are expressed. We propose that, in such cases, extrasynaptically released neuropeptides serve a similar function to that of classical neurotransmitters. Finally, our measured signal propagation atlas better predicts the neural dynamics of spontaneous activity than do models based on anatomy. We conclude that both synaptic and extrasynaptic signalling drive neural dynamics on short timescales, and that measurements of evoked signal propagation are crucial for interpreting neural function.
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
Figures















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?
The cited source says what the claim attributes to it.
In the citing paper
“This is consistent with recent studies showing that activity propagation measured by calcium imaging is not well predicted by anatomical connectivity alone in Caenorhabditis elegans, demonstrating the importance of extrasynaptic signalling not accounted for in our model50.”
From A Drosophila computational brain model reveals sensorimotor processing (2024) · cites this paper as [50]
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
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Two-photon laser scanning fluorescence microscopy
Denk, W., Strickler, J. H., & Webb, W. W. (1990) · Science · doi:10.1126/science.2321027 · Cited by 9,488
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 structure of the nervous system of the nematode Caenorhabditis elegans
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589
Schuirmann, D. J. (1987) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1007/bf01068419 · Cited by 2,696
Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity
van Vreeswijk, C., & Sompolinsky, H. (1996) · Science · doi:10.1126/science.274.5293.1724 · Cited by 1,831
How Inhibition Shapes Cortical Activity
Isaacson, J. S., & Scanziani, M. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.027 · Cited by 1,678
The neural circuit for touch sensitivity in Caenorhabditis elegans
Chalfie, M., Sulston, J., White, J., Southgate, E., Thomson, J., & Brenner, S. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-04-00956.1985 · Cited by 1,093
Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections
Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007) · Nature Neuroscience · doi:10.1038/nn1891 · Cited by 930
Whole-animal connectomes of both Caenorhabditis elegans sexes
Cook, S. J., Jarrell, T. A., Brittin, C. A., Wang, Y., Bloniarz, A. E., Yakovlev, M. A., Nguyen, K. C. Q., Tang, L. T.-H., Bayer, E. A., Duerr, J. S., et al. (2019) · Nature · doi:10.1038/s41586-019-1352-7 · Cited by 921 · cited 1×
“The C. elegans connectome 1,5,6 is the most mature of these efforts, and has been used to reveal circuit-level mechanisms of sensorimotor processing 7,8 , to constrain models of neural dynamics 9 and to make predictions of neural function 10 .”
Cited by
Sorted by citations
Items 101–152 of 152
Park, B., Mohsen, L., Busack, I., Uhlig, L., Rossi, L., Pollmeier, G., Geens, E., Istiban, M. N., Mandal, S., Savio, R. D., et al. (2026) · Science Advances · doi:10.1126/sciadv.adv8387 · Cited by 1
Reductionism in Engram Neuroscience
Mace, C., O'Sullivan, F., & Wilson, S. R. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70497 · Cited by 1
The Necessity of Machine Learning Theory in Mitigating AI Risk
Belkin, M. (2024) · ACM / IMS Journal of Data Science · doi:10.1145/3643694 · Cited by 2
Heterogeneous model for superdiffusive movement of dense core vesicles in C. elegans
Gavrilova, A., Nickolay Korabel, A., Allan, V., & Fedotov, S. P. (2025) · Scientific Reports · doi:10.1038/s41598-024-83602-1 · Cited by 1
Endo, Y., Suzuki, R., Ito, T., Itoh, R. E., Kawaguchi, R., & Kimura, K. D. (2025) · Journal of Biosciences · doi:10.1007/s12038-025-00518-2 · Cited by 1
Cascades and convergence: Dynamic signal flow in a synapse-level brain network
Betzel, R. F., Puxeddu, M. G., Seguin, C., & Mišić, B. (2026) · PLOS complex systems. · doi:10.1371/journal.pcsy.0000091 · Cited by 1
TWISP: A Transgenic Worm for Interrogating Signal Propagation in C. elegansPreprint
Sharma, A. K., Randi, F., Kumar, S., Dvali, S., & Leifer, A. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.03.551820 · Cited by 1
Self-citationVisual information is broadcast among cortical areas in discrete channelsPreprint
Yu, Y., Stirman, J. N., Dorsett, C. R., & Smith, S. L. (2024) · eLife · doi:10.7554/elife.97848 · Cited by 2
A functional network model for body column neural connectivity in HydraPreprint
Braun, W., Jenderny, S., Giez, C., Pavleska, D., Klimovich, A. V., Bosch, T. C. G., Ochs, K., Hövel, P., & Hilgetag, C. C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.25.600563 · Cited by 1
Closing the Experiment-Modeling-Perturbation Loop in Whole-Brain Neuroscience
Ahrens, M. B. (2024) · Neuroscience Bulletin · doi:10.1007/s12264-024-01253-8 · Cited by 1
Exploring neurodevelopment via spatiotemporal collation of anatomical networks with NeuroSCPreprint
Koonce, N. L., Emerson, S. E., Bhaskar, D., Kuchroo, M. R., Moyle, M. W., Arroyo-Morales, P., Martínez, N. V., Emerson, J. I., Krishnaswamy, S., Mohler, W. A., et al. (2024) · eLife · doi:10.1101/2024.08.27.609993 · Cited by 1
Neuropeptide-mediated temporal sensory filtering in a primordial nervous systemPreprint
Wyss, L. S., Bray, S. R., & Wang, B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.17.628859 · Cited by 1
Connectome architecture favours within-module diffusion and between-module routingPreprint
Seguin, C., Puxeddu, M. G., Faskowitz, J., Betzel, R. F., & Sporns, O. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.10.637586 · Cited by 2
A framework for analyzing global Caenorhabditis elegans neural activity
Rusu, I., Cecere, Z. T., How, J. J., Quach, K. T., Yemini, E., Sharpee, T. O., & Chalasani, S. H. (2026) · eLife · doi:10.1101/2021.04.09.439242
Plugging invisible gaps in the synaptic connectome
Welle, E. J. (2023) · The Transmitter · doi:10.53053/qfxt1842
Learning dynamic representations of the functional connectome in neurobiological networksPreprint
Dyballa, L., Lang, S., Haslund-Gourley, A., Yemini, E., & Zucker, S. W. (2024) · PubMed · doi:10.48550/arxiv.2402.14102
Irene Salinas: The joy of continuous growth and learning
Emmenis, L. V. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20240813
Kim, P. S., Song, Y., Kralik, J. D., & Jeong, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.03.616419
Simple Worm, Complex Disorder: Studying Down Syndrome Mechanisms in the Unassuming Model C. elegans
Sanchez, S. M., & Pierce-Shimomura, J. T. (2025) · Springer eBooks · doi:10.1007/978-3-031-78611-2_4
Yang, M. A., Kang, S., Hong, S., Lee, J., Bormann, N. L., Lee, S. W., & Choi, D. (2025) · eNeuro · doi:10.1523/eneuro.0552-24.2025
Evolution of Hypothalamic–Pituitary Neuropeptides and Their Receptors: Insights from Invertebrates
Elphick, M. R. (2025) · Masterclass in neuroendocrinology · doi:10.1007/978-3-031-80209-6_2
Okuno, T., Woodward, A., Okano, H., & Hata, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.01.662601
NeuroSC: Exploring Neurodevelopment via Spatiotemporal Collation of Anatomical NetworksPreprint
Koonce, N. L., Emerson, S. E., Bhaskar, D., Kuchroo, M. R., Moyle, M. W., Arroyo-Morales, P., Martínez, N. V., Emerson, J. I., Krishnaswamy, S., Mohler, W. A., et al. (2025) · eLife · doi:10.7554/elife.103977.2
Worms help untangle brain structure/function mystery
Barker, H. (2025) · The Transmitter · doi:10.53053/pvxo1692
Li, Z. (., & Fang-Yen, C. M. (2026) · iScience · doi:10.1016/j.isci.2026.116117
Randel, N., Wang, C., Clayton, M. S., Wang, K., Pang, S., Xu, C. S., Champion, A. S., Hess, H. F., Cardona, A., Keller, P., et al. (2026) · Current Biology · doi:10.1101/2025.09.25.678485
Okuno, T., Woodward, A., Okano, H., & Hata, J. (2025) · eLife · doi:10.7554/elife.107990 · Cited by 1
Okuno, T., Woodward, A., Okano, H., & Hata, J. (2025) · eLife · doi:10.7554/elife.107990.1
A tiny vertebrate reveals brain-scale network functions
He, Z., Morra, J., & Naumann, E. A. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.10.002
Whole-brain, bottom-up neuroscience: The time for it is now
Boyden, E. S., & Kording, K. P. (2025) · The Transmitter · doi:10.53053/ipub1951
Moon, S., Liang, J., Lee, H. J., Maalouf, A., Yu, Z., Moza, S., Zhang, Y., & Lu, H. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.02.686048
Taranath, J. R. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.10.062
Kubo-Martin-Schwinger states of path-structured flow in directed brain synaptic networks
Moutuou, E. M., & Benali, H. (2025) · Physical review. E · doi:10.1103/wvbd-j5rw
Disrupting Circuits of the Higher Central Nervous System
(2025) · Royal Society of Chemistry eBooks · doi:10.1039/9781837678174-00121
Harnessing machine learning for decoding Caenorhabditis elegans behavior
Babu, K. R. (2026) · Machine Learning with Applications · doi:10.1016/j.mlwa.2026.100871
Kuramochi, M., & Doi, M. (2026) · Neuroscience Letters · doi:10.1016/j.neulet.2026.138582
Visual information is broadcast among cortical areas in discrete channels
Yu, Y., Stirman, J. N., Dorsett, C. R., & Smith, S. L. (2026) · eLife · doi:10.7554/elife.97848.3 · Cited by 1
Sar, G. K., Patton, A., Towlson, E. K., & Davidsen, J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.23.713580
Tomina, Y., Ishijima, A., Toyoshima, Y., Shishido, H., Hirooka, R., Mukumoto, K., Wen, C., Kanamori, M., Kuze, K., Murakami, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.07.716805
Liu, H., Shen, Y., & Peng, D. (2026) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2026.1727180
A Benchmark Analysis of Graph and Non-Graph Methods for Caenorhabditis Elegans Neuron Classification
Lu, J., Han, K., Wang, Y., Mi, L., & Yang, C. (2026) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi61048.2026.11515375
Choe, D. T., Hall, D. H., Nguyen, K. C. Q., Choi, M., Bae, J. A., & Lee, J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.28.728331
A Digital Neural Array IC for Real-Time Neural Network Replication from Spike Activities
Park, D., Mun, H., Jeong, M., Kang, D., Lee, J., & Lee, Y. (2026) · Design, Automation, and Test in Europe · doi:10.23919/date69613.2026.11539470
Chang, A. S., Mazuera, L., Connor, C. W., & Gabel, C. V. (2026) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2026.1795887
Developmental Continuity of Brain Network Core Organization in C. elegansPreprint
Yadav, P., & Singh, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.12.730308
Yang, L., Wu, S., Liu, J., Wang, W., Yin, Q., Thomas, E. R., & Li, X. J. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1880079
Kim, P. S., Song, Y., Kralik, J. D., & Jeong, J. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70629 · Cited by 1
Sar, G. K., Patton, A., Towlson, E. K., & Davidsen, J. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014152
Huang, Y., Iino, Y., & Toyoshima, Y. (2026) · IEEE Access · doi:10.1109/access.2026.3738430
Signatures of brain-wide functional maturation in larval zebrafishPreprint
Légaré, A., Barkat, M. E. A., Lebordais, M., Poulin, H., Lemieux, M., Desrosiers, P., & Koninck, P. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.14.759119
Organization of neuropeptide signaling: cross-species insights from small model organisms
Zandawala, M., Filosa, A., & Beets, I. (2026) · Trends in Neurosciences · doi:10.1016/j.tins.2026.09.012
Metadata
- Authors
- Randi, F., Sharma, A. K., Dvali, S., & Leifer, A. M.
- Affiliations
- Regeneron (United States) (US)
- Princeton University (US)
- Corresponding author
- Leifer, Andrew M.
- Venue
- Nature
- Published
- 2023-11-01
- Volume
- 623
- Issue
- 7986
- Pages
- 406-414
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC10632145
- OpenAlex
- W4388126567
- Cited by
- 153
- References
- 75
- Citations by year
- 2026: 32 · 2025: 62 · 2024: 52 · 2023: 6
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) (submittedVersion)
- Funders
- National Institutes of Health (1dp2ns116768-01, P40OD010440)
- National Institute of Neurological Disorders and Stroke (DP2-NS116768)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neural signal propagation, Caenorhabditis elegans, optogenetic stimulation, whole-brain calcium imaging, dense core vesicles, neuropeptides, synaptic transmission, spontaneous neuronal activity, neural dynamics, structure-function relationship
- MeSH terms
- Animals, Calcium, Models, Neurological, Mutation, Neural Pathways, Neurons, Neuropeptides, Synapses, Signal Transduction, Caenorhabditis elegans
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