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Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity
Open accessAbstract
We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm 3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.
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“A high clustering coefficient and an over-representation of highly connected motifs suggest that the local structure of the brain displays a high degree of non-randomness, consistent with previous studies in C. elegans7,21 and in the mouse cortex11,24,25.”
From Network statistics of the whole-brain connectome of Drosophila (2024) · cites this paper as [11]
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Self-citation
Flagged first, then by citations
Research works printed but not linked: 4
- Campagnola, 2021, Connectivity and synaptic physiology in the mouse and human neocortex, bioRxiv
- Maitin-Shepard, 2019, neuroglancer, Github
- Silversmith, 2022, Igneous: a python cloud pipeline for neuroglancer compatible downsampling, meshing, skeletonizing, remapping, and more, GitHub
- Zlateski, 2022, zmesh: multi-label marching cubes & mesh simplification, Paperpile
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Self-citation
Metadata
- Authors
- Turner, N. L., Macrina, T., Bae, J. A., Yang, R., Wilson, A. M., Schneider-Mizell, C., Lee, K., Lu, R., Wu, J., Bodor, A. L., Bleckert, A. A., Brittain, D., Froudarakis, E., Dorkenwald, S., Collman, F., Kemnitz, N., Ih, D., Silversmith, W. M., Zung, J., Zlateski, A., Tartavull, I., Yu, S.-C., Popovych, S., Mu, S., Wong, W., Jordan, C. S., Castro, M., Buchanan, J., Bumbarger, D. J., Takeno, M., Torres, R., Mahalingam, G., Elabbady, L., Li, Y., Cobos, E., Zhou, P., Suckow, S., Becker, L., Paninski, L., Polleux, F., Reimer, J., Tolias, A. S., Reid, R. C., da Costa, N. M., & Seung, H. S.
- Affiliations
- Princeton University (US)
- Allen Institute for Brain Science (US)
- Baylor College of Medicine (US)
- Massachusetts Institute of Technology (US)
- Columbia University (US)
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- Corresponding author
- Seung, H. Sebastian
- ORCID
- Turner, Nicholas L.
- Macrina, Thomas
- Bae, J. Alexander
- Yang, Runzhe
- Wilson, Alyssa M.
- Schneider-Mizell, Casey
- Lee, Kisuk
- Lu, Ran
- Wu, Jingpeng
- Bleckert, Adam A.
- Brittain, Derrick
- Froudarakis, Emmanouil
- Dorkenwald, Sven
- Collman, Forrest
- Kemnitz, Nico
- Ih, Dodam
- Silversmith, William M.
- Zung, Jonathan
- Zlateski, Aleksandar
- Tartavull, Ignacio
- Yu, Szi-chieh
- Mu, Shang
- Jordan, Chris S.
- Castro, Manuel
- Buchanan, JoAnn
- Bumbarger, Daniel J.
- Takeno, Marc
- Torres, Russel
- Mahalingam, Gayathri
- Elabbady, Leila
- Li, Yang
- Zhou, Pengcheng
- Becker, Lynne
- Paninski, Liam
- Polleux, Franck
- Reimer, Jacob
- Tolias, Andreas S.
- Reid, R. Clay
- da Costa, Nuno Maçarico
- Seung, H. Sebastian
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 185
- Issue
- 6
- Pages
- 1082-1100.e24
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC9337909
- OpenAlex
- W4213455879
- Cited by
- 206
- References
- 188
- Citations by year
- 2026: 37 · 2025: 50 · 2024: 49 · 2023: 44 · 2022: 24
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 381 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01mh114824-05)
- National Institute of Mental Health (U01 MH114824, RF1MH117815, RF1MH123400, T32MH065214)
- National Eye Institute (R01EY027036)
- National Institute of Neurological Disorders and Stroke (R01NS104926, U19NS104648, R01NS107483)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neocortex, cortical reconstruction, pyramidal neurons, non-pyramidal neurons, astrocytes, microglia, oligodendrocytes, pericytes, cortical vasculature, mitochondria, synaptic organization, visual responses, cortical circuits, electron microscopy
- MeSH terms
- Animals, Microscopy, Electron, Synapses, Organelles, Pyramidal Cells, Neocortex, Mice
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