The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The Big and the Small: Challenges of Imaging the Brain’s Circuits
Abstract
The relation between the structure of the nervous system and its function is more poorly understood than the relation between structure and function in any other organ system. We explore why bridging the structure-function divide is uniquely difficult in the brain. These difficulties also explain the thrust behind the enormous amount of innovation centered on microscopy in neuroscience. We highlight some recent progress and the challenges that remain.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“The central tenet of connectomics is capturing both big and small scales: reconstructing individual synaptic connections in volumes large enough to encompass neural circuits (57).”
From A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution (2024) · cites this paper as [57]
Citations
Cites
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
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876
Super-resolution fluorescence microscopy
Huang, B., Bates, M., & Zhuang, X. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061906.092014 · Cited by 1,657
Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
Self-citationFunctional identification of an aggression locus in the mouse hypothalamus
Lin, D., Boyle, M. P., Dollar, P., Lee, H., Lein, E. S., Perona, P., & Anderson, D. J. (2011) · Nature · doi:10.1038/nature09736 · Cited by 914
Wiring specificity in the direction-selectivity circuit of the retina
Briggman, K. L., Helmstaedter, M., & Denk, W. (2011) · Nature · doi:10.1038/nature09818 · Cited by 883
Self-citationMicheva, K. D., & Smith, S. J. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.014 · Cited by 787
Research works printed but not linked: 44
- P. M. Motta M. Malpighi in VIIIth International Symposium on Morphological Sciences (Liss Rome Italy 10 to 15 July 1988) vol. 295.
- 10.1038/nn1334 · DOI
- 10.1038/nature06739 · DOI
- 10.1016/j.neuron.2010.09.024 · DOI
- 10.1016/j.conb.2010.07.006 · DOI
- Tsien R. Y., Breeding molecules to spy on cells. Harvey Lect. 99, 77 (2003-2004).15984552
- 10.1126/science.2321027 · DOI · Paper page
- 10.1038/nmeth818 · DOI
- 10.1038/385161a0 · DOI
- 10.1038/nature03274 · DOI
- 10.1016/j.neuron.2007.08.003 · DOI · Paper page
- 10.1073/pnas.0903680106 · DOI
- 10.1038/42264 · DOI
- 10.1038/nmeth.1243 · DOI · Paper page
- 10.1038/nmeth.1398 · DOI · Paper page
- 10.1126/science.1204763 · DOI
- 10.1073/pnas.0604791103 · DOI
- 10.1038/nmeth.1411 · DOI
- 10.1038/nn.2879 · DOI
- 10.1364/OE.17.013354 · DOI
- 10.1038/nn.2648 · DOI · Paper page
- 10.1152/jn.00234.2004 · DOI
- 10.1126/science.1100035 · DOI
- Siedentopf H., Zsigmondy R., Über Sichtbarmachung und Größenbestimmung ultramikroskopischer Teilchen, mit besonderer Anwendung auf Goldrubingläser. Ann. Phys. (Leipzig) 10, 1 (1903).
- 10.1016/j.neuron.2008.01.011 · DOI
- 10.1073/pnas.1936192100 · DOI
- 10.1146/annurev-neuro-061010-113817 · DOI · Paper page
- 10.1038/nmeth1036 · DOI
- 10.1038/nn.2928 · DOI
- 10.1016/S0896-6273(03)00370-2 · DOI
- 10.1002/dvdy.10169 · DOI
- Leighton S. B., SEM images of block faces, cut by a miniature microtome within the SEM - a technical note. Scan. Electron Microsc. 2, 73 (1981).7323733
- 10.1364/OL.19.000780 · DOI
- 10.1126/science.1127344 · DOI
- 10.1038/nmeth929 · DOI
- 10.1126/science.1137395 · DOI · Paper page
- 10.1126/science.1154228 · DOI
- Weissman T. A., Sanes J. R., Lichtman J. W., Livet J., Generating and imaging multicolor Brainbow mice. Cold Spring Harbor Protocols 2011, 763 (2011).21724826
- 10.1371/journal.pbio.1000032 · DOI
- 10.1016/j.conb.2009.03.007 · DOI
- 10.1016/j.molmed.2007.12.008 · DOI
- 10.1523/JNEUROSCI.3189-07.2008 · DOI · Paper page
- 10.1038/nature09802 · DOI
- 10.1016/j.conb.2010.07.004 · DOI
Cited by
Sorted by citations
Structural and Functional Brain Networks: From Connections to Cognition
Park, H.-J., & Friston, K. (2013) · Science · doi:10.1126/science.1238411 · Cited by 2,106
Neuromodulation of neuronal circuits: back to the future
Marder, E. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.010 · Cited by 904
Distinct Profiles of Myelin Distribution Along Single Axons of Pyramidal Neurons in the Neocortex
Tomassy, G. S., Berger, D. R., Chen, H.-H., Kasthuri, N., Hayworth, K. J., Vercelli, A., Seung, H. S., Lichtman, J. W., & Arlotta, P. (2014) · Science · doi:10.1126/science.1249766 · Cited by 600
Self-citationNeuronal wiring diagram of an adult brain
Dorkenwald, S., Matsliah, A., Sterling, A. R., Schlegel, P., Yu, S.-C., McKellar, C. E., Lin, A., Costa, M., Eichler, K., Yin, Y., et al. (2024) · Nature · doi:10.1038/s41586-024-07558-y · Cited by 570
“Scepti-cism has flourished largely owing to a lack of technologies that could reconstruct such wiring diagrams 16,17 , so obtaining such diagrams has remained hypothetical.”
BackgroundSuper-multiplex vibrational imaging
Wei, L., Chen, Z., Shi, L., Long, R., Anzalone, A. V., Zhang, L., Hu, F., Yuste, R., Cornish, V. W., & Min, W. (2017) · Nature · doi:10.1038/nature22051 · Cited by 514
Enhanced FIB-SEM systems for large-volume 3D imaging
Xu, C. S., Hayworth, K. J., Lu, Z., Grob, P., Hassan, A. M., García-Cerdán, J. G., Niyogi, K. K., Nogales, E., Weinberg, R. J., & Hess, H. F. (2017) · eLife · doi:10.7554/elife.25916 · Cited by 411
A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution
Shapson-Coe, A., Januszewski, M., Berger, D. R., Pope, A., Wu, Y., Blakely, T., Schalek, R. L., Li, P. H., Wang, S., Maitin-Shepard, J., et al. (2024) · Science · doi:10.1126/science.adk4858 · Cited by 361
Self-citationVolume scanning electron microscopy for imaging biological ultrastructure
Titze, B., & Genoud, C. (2016) · Biology of the Cell · doi:10.1111/boc.201600024 · Cited by 287
A connectomic study of a petascale fragment of human cerebral cortex
Shapson-Coe, A., Januszewski, M., Berger, D. R., Pope, A., Wu, Y., Blakely, T., Schalek, R. L., Li, P. H., Wang, S., Maitin-Shepard, J., et al. (2021) · doi:10.1101/2021.05.29.446289 · Cited by 243
Self-citationCell-specific STORM super-resolution imaging reveals nanoscale organization of cannabinoid signaling
Dudok, B., Barna, L., Ledri, M., Szabó, S. I., Szabadits, E., Pintér, B., Woodhams, S. G., Henstridge, C. M., Balla, G. Y., Nyilas, R., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3892 · Cited by 227
Genetic Approaches to Neural Circuits in the Mouse
Josh Huang, Z., & Zeng, H. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170307 · Cited by 200
Deep molecular diversity of mammalian synapses: why it matters and how to measure it
O'Rourke, N. A., Weiler, N. C., Micheva, K. D., & Smith, S. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3170 · Cited by 210
Developmental mechanisms underlying the evolution of human cortical circuits
Vanderhaeghen, P., & Polleux, F. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00675-z · Cited by 173
A Student’s Guide to Neural Circuit Tracing
Saleeba, C., Dempsey, B., Le, S., Goodchild, A., & McMullan, S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00897 · Cited by 153
Neuronal wiring diagram of an adult brain
Dorkenwald, S., Matsliah, A., Sterling, A. R., Schlegel, P., Yu, S.-C., McKellar, C. E., Lin, A., Costa, M., Eichler, K., Yin, Y., et al. (2023) · doi:10.1101/2023.06.27.546656 · Cited by 149
Contributions of cortical feedback to sensory processing in primary visual cortex
Petro, L. S., Vizioli, L., & Muckli, L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01223 · Cited by 61
Genetic Single Neuron Anatomy Reveals Fine Granularity of Cortical Axo-Axonic Cells
Wang, X., Tucciarone, J., Jiang, S., Yin, F., Wang, B.-S., Wang, D., Jia, Y., Jia, X., Li, Y., Yang, T., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.040 · Cited by 56
Molecular neuroanatomy: a generation of progress
Pollock, J. D., Wu, D.-Y., & Satterlee, J. S. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2013.11.001 · Cited by 36
CAVE: Connectome Annotation Versioning Engine
Dorkenwald, S., Schneider-Mizell, C. M., Brittain, D., Halageri, A., Jordan, C., Kemnitz, N., Castro, M. A., Silversmith, W., Maitin-Shephard, J., Troidl, J., et al. (2023) · doi:10.1101/2023.07.26.550598 · Cited by 79
“Then we randomly sampled neurons from each list and queried: (1) All L2 IDs from the ChunkedGraph, (2) All volume measurements from the L2 Cache for these L2 IDs.”
Optimized connectome architecture for sensory-motor integration
Worrell, J. C., Rumschlag, J., Betzel, R. F., Sporns, O., & Mišić, B. (2017) · Network Neuroscience · doi:10.1162/netn_a_00022 · Cited by 32
Metadata
- Authors
- Lichtman, J. W., & Denk, W.
- Affiliations
- Molecular and Cellular Biology and Center for Brain Science Harvard University, Cambridge, MA 02138, USA.
- Max-Planck Institute for Medical Research, Department of Biomedical Optics, 69120 Heidelberg, Germany.
- Venue
- Science
- Published
- 2011-11-04
- Volume
- 334
- Issue
- 6056
- Pages
- 618-623
- ISSN
- 0036-8075
- 1095-9203
- Cited by
- 370
- References
- 7
- Language
- en
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