The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.
A Proposal for a Coordinated Effort for the Determination of Brainwide Neuroanatomical Connectivity in Model Organisms at a Mesoscopic Scale
Open accessAbstract
In this era of complete genomes, our knowledge of neuroanatomical circuitry remains surprisingly sparse. Such knowledge is critical, however, for both basic and clinical research into brain function. Here we advocate for a concerted effort to fill this gap, through systematic, experimental mapping of neural circuits at a mesoscopic scale of resolution suitable for comprehensive, brainwide coverage, using injections of tracers or viral vectors. We detail the scientific and medical rationale and briefly review existing knowledge and experimental techniques. We define a set of desiderata, including brainwide coverage; validated and extensible experimental techniques suitable for standardization and automation; centralized, open-access data repository; compatibility with existing resources; and tractability with current informatics technology. We discuss a hypothetical but tractable plan for mouse, additional efforts for the macaque, and technique development for human. We estimate that the mouse connectivity project could be completed within five years with a comparatively modest budget.
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.
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
“This Connectivity Atlas has all the desired features summarized in a mesoscale connectome position essay18: brain-wide coverage, validated and versatile experimental techniques, a single standardized data format, a quantifiable and integrated neuroinformatics resource and an open-access public online database.”
From A mesoscale connectome of the mouse brain (2014) · cites this paper as [18]
In the citing paper
“This Connectivity Atlas has all the desired features summarized in a mesoscale connectome position essay18: brain-wide coverage, validated and versatile experimental techniques, a single standardized data format, a quantifiable and integrated neuroinformatics resource and an open-access public online database.”
From A mesoscale connectome of the mouse brain (2014) · cites this paper as [18]
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
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
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 · cited 2×
“WormAtlas [30] Full neuronal wiring data for C.”
BackgroundMethodGenome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Self-citation(2005) · Choice Reviews Online · doi:10.5860/choice.43-0626 · Cited by 4,726
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
Affective Neuroscience: The Foundations of Human and Animal Emotions
Panksepp, J. (1998) · doi:10.1093/oso/9780195096736.001.0001 · Cited by 4,428
Self-citation(1998) · Cited by 4,012
Self-citationDiffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–264 of 264
Dependence of inter-neuronal effective connectivity on synchrony dynamics in neuronal network motifs
Deng, B., Deng, Y., Yu, H., Guo, X., & Wang, J. (2015) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2015.10.034 · Cited by 5
Basic Plan of the Nervous System
Swanson, L. W. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-385870-2.00002-0 · Cited by 5
Self-citationComplexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome
Kunert-Graf, J. M., Sakhanenko, N. A., & Galas, D. J. (2017) · Entropy · doi:10.3390/e19030104 · Cited by 6
Computational neuroanatomy and gene expression: optimal sets of marker genes for brain regions
Grange, P., & Mitra, P. P. (2012) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · doi:10.48550/arxiv.1205.2721 · Cited by 5
Self-citationPérez-Santos, I., García‐Cabezas, M. Á., & Cavada, C. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02619-w · Cited by 5
Neurophotonics applications to motor cortex research: a review
Suter, B. A., Yamawaki, N., Borges, K., Li, X., Kiritani, T., Hooks, B. M., & Shepherd, G. M. (2014) · Neurophotonics · doi:10.1117/1.nph.1.1.011008 · Cited by 6
Automated placement of stereotactic injections using a laser scan of the skullPreprint
Henderson, M. M., Pinskiy, V., Tolpygo, A. S., Savoia, S., Grange, P., & Mitra, P. P. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/010603 · Cited by 5
Self-citationSimulating neural systems with Xyce.
Schiek, R., Thornquist, H., Mei, T., Warrender, C., Aimone, J. B., Teeter, C., & Duda, A. (2012) · doi:10.2172/1096952 · Cited by 5
Das, S., Jayakumar, J., Banerjee, S., Ramaswamy, J., Vangala, V., Ram, K., & Mitra, P. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/252247 · Cited by 5
Self-citationSizing up whole-brain neuronal tracing
Ascoli, G. A., Huo, B., & Mitra, P. P. (2022) · 中国科学通报:英文版 · doi:10.1016/j.scib.2022.01.018 · Cited by 4
Self-citationKhan, A. M., D’Arcy, C. E., & Olimpo, J. T. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136052 · Cited by 4
Prefrontal Cortex Metabolome Is Modified by Opioids, Anesthesia, and Sleep
Lydic, R., & Baghdoyan, H. A. (2021) · Physiology · doi:10.1152/physiol.00043.2020 · Cited by 4
Symmetry in frontal but not motor and somatosensory cortical projections
Papale, A. E., Harish, M., Paletzki, R. F., O’Connor, N. J., Eastwood, B. S., Seal, R. P., Williamson, R. S., Gerfen, C. R., & Hooks, B. M. (2024) · The Journal of Neuroscience · doi:10.1523/jneurosci.1195-23.2024 · Cited by 4
The coming paradigm shift: A transition from manual to automated microscopy
Farahani, N., & Monteith, C. (2016) · Journal of Pathology Informatics · doi:10.4103/2153-3539.189698 · Cited by 4
Haueis, P., & Slaby, J. (2015) · Routledge eBooks · doi:10.4324/9781315714189-15 · Cited by 3
Robust reconstruction of sparse network dynamics
Pereira, T., dos Santos, E. R., & van Strien, S. J. (2025) · Nonlinearity · doi:10.1088/1361-6544/add3b0 · Cited by 3
Human Connectome Mapping and Monitoring Using Neuronanorobots
Martins, N. R. B., Erlhagen, W., & Freitas, Jr. (2016) · Journal of Ethics and Emerging Technologies · doi:10.55613/jeet.v26i1.49 · Cited by 3
Liang, H., Dabrowska, N., Kapur, J., & Weller, D. S. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2878488 · Cited by 3
High-throughput mapping of mesoscale connectomes in individual micePreprint
Huang, L., Kebschull, J. M., Fürth, D., Musall, S., Kaufman, M. T., Churchland, A. K., & Zador, A. M. (2018) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · doi:10.1101/422477 · Cited by 3
Øvsthus, M., van Swieten, M. M. H., Puchades, M. A., Tocco, C., Studer, M., Bjaalie, J. G., & Leergaard, T. B. (2024) · Scientific Data · doi:10.1038/s41597-024-04060-y · Cited by 3
Structural and Functional Neuroanatomy of Core Consciousness
Arciniegas, D. B., Gurin, L. J., & Zhang, B. (2023) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2023.09.002 · Cited by 2
Topology of the mesoscale connectome of the mouse brain
Grange, P. (2020) · Computational and Mathematical Biophysics · doi:10.1515/cmb-2020-0106 · Cited by 2
Water Diffusion in the Live Human Brain is Gaussian at the MesoscalePreprint
Magdoom, K. N., Avram, A. V., Witzel, T., Huang, S. Y., & Basser, P. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.10.588939 · Cited by 2
Out-of-focus brain image detection in serial tissue sections
Pollatou, A., & Ferrante, D. D. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108852 · Cited by 1
(2016) · Elsevier eBooks · doi:10.1016/b978-0-12-407908-3.00002-9 · Cited by 1
Graph-Theoretic Analysis of Human Brain Networks
Fornito, A. (2025) · Neuromethods · doi:10.1007/978-1-0716-4438-6_10 · Cited by 1
A Feature Point Based Registration of Brain Microscopic Images to the Reference Brain Atlas
Ni, H., Chen, S., Gong, H., Luo, Q., & Li, A. (2017) · International Conference on Photonics and Imaging in Biology and Medicine (PIBM) · doi:10.1364/pibm.2017.w3a.84 · Cited by 1
Combinatorial quantification of distinct neural projections from retrograde tracing
Venkadesh, S., Santarelli, A., Boesen, T., Dong, H., & Ascoli, G. A. (2023) · Nature Communications · doi:10.1038/s41467-023-43124-2 · Cited by 1
The Fractal Geometry of the Human Brain: An Evolutionary Perspective
Hofman, M. A. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-47606-8_12 · Cited by 2
Large scale digital atlases in neuroscience
Hawrylycz, M., Feng, D. H., Lau, C., Kuan, C., Miller, J. A., Dang, C., & Ng, L. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2044203 · Cited by 1
Self-citationProgress on Whole Brain Imaging Methods at The Level of Optical Microscopy*
Li, A., & Gong, H. (2012) · PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS · doi:10.3724/sp.j.1206.2012.00237 · Cited by 1
Exploring Neurogenomics of Schizophrenia With Allen Institute for Brain Science Resources
Hawrylycz, M., Nickl‐Jockschat, T., & Sunkin, S. M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801829-3.00014-8 · Cited by 1
Self-citationEvolution of the Human Brain: Design Without a Designer
Hofman, M. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00129-9 · Cited by 1
Bifurcation Analysis of a Sparse Neural Network with Cubic Topology
Fasoli, D., Cattani, A., & Panzeri, S. (2017) · Springer INdAM series · doi:10.1007/978-3-319-68297-6_5 · Cited by 1
Reconstruction of sparse network dynamics from data
dos Santos, E. R. (2024) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2024.tde-21032024-191639 · Cited by 1
Towards Mesoscopic Human Brain Imaging Using Non-Parametric Diffusion Tensor Distribution (DTD) MRIPreprint
Magdoom, K. N., Sarlls, J. E., & Basser, P. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.12.718025 · Cited by 1
Chen, C.-N. (2010) · Deep Blue (University of Michigan)
Cant, N. B. (2014) · Springer handbook of auditory research · doi:10.1007/978-1-4614-9102-6_4
Multi-contrast optical coherence tomography for brain imaging and mapping
Wang, H. (2014) · University of Minnesota Digital Conservancy (University of Minnesota)
Optogenetic Approach to the Studies of Synaptic Transmission
Artamonov, D. N., Korzhova, V., Власова, О. Л., & Борисович, Б. И. (2014) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-014-2577-y
Toward Multi-organs Simulations of Immune-Pathogen Interactions
Castiglione, F., & Pappalardo, F. (2009) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2009.119
Stefanovski, L., Ghani, A., McIntosh, A. R., & Ritter, P. (2016) · e-Neuroforum · doi:10.1007/s12269-016-0051-7
The Importance of Animal Research in Cognitive NeurosciencePreprint
Perera-W.A., H. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2868619
Mapping brain circuits : anatomy, connectivity and function
Xuan, Y. (2018) · Figshare
INCF Program on Digital Brain Atlasing workshop: Towards a multi-modal human brain atlas
Secretariat, I., Amunts, K., Abrams, M. B., & Eickhoff, S. B. (2017) · doi:10.7490/f1000research.1115057.1
Rynes, M. L. (2017) · University of Minnesota Digital Conservancy (University of Minnesota)
Кулик, О. В. (2018) · Здобутки клінічної і експериментальної медицини · doi:10.11603/1811-2471.2018.v0.i4.9553
Conte, D., Borisyuk, R. M., Hull, M., & Roberts, A. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.109062
Whole Murine Brain Imaging Based on Optical Elastic Scattering
Ren, J. H., & Bouma, B. E. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-7627-0_6
Complexity, Criticality and Computation (C³)
Prokopenko, M. (2017) · MDPI eBooks · doi:10.3390/books978-3-03842-515-1
A strategy for building neuroanatomy ontologies
Osumi-Sutherland, D., Reeve, S. P., Mungall, C., Neuhaus, F., Ruttenberg, A., Jefferis, G. S. X. E., & Armstrong, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts353
(2016) · Elsevier eBooks · doi:10.1016/b978-0-12-407908-3.10000-7
Hof, P. R. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24724
(2020) · Society for Neuroscience eBooks · doi:10.1523/hon.011011
Ma, L., He, L., Xu, Z., Yang, M., & Zhang, Y. (2023) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2023.102304
Koç, T. (2024) · doi:10.69860/nobel.9786053359470
Zalesky, A., Sotiropoulos, S. N., Jbabdi, S., & Fornito, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00007-0
Foreground and Background Separation Using Primary Components Variance ClassificationPreprint
Raptis, S. (2025) · Research Square · doi:10.21203/rs.3.rs-7833378/v1
Raptis, S. (2026) · Research Square · doi:10.21203/rs.3.rs-9269152/v1
Studying Neuronal Connectivity in the Mouse Brain in Normal Condition and Fragile X Syndrome
Haberl, M. G. (2014) · theses.fr (ABES) · doi:10.70675/cbb47168z82fbz41a1z9174zd9e36b2b5a6d
A structure–function neuronal network model of the rat nervous system
Swanson, L. W., Hahn, J. D., & Sporns, O. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2620995123
Self-citationFAIRsharing record for: Brainstem Connectome
FAIRsharing Team, & Schmitt, O. (2018) · FAIRsharing.org · doi:10.25504/fairsharing.hd7sxq
Muro, S., Ibara, T., Nimura, A., & Akita, K. (2026) · Research Square · doi:10.21203/rs.3.rs-11384622/v1
Metadata
- Authors
- Bohland, J. W., Wu, C., Barbas, H., Bokil, H., Bota, M., Breiter, H. C., Cline, H. T., Doyle, J. C., Freed, P. J., Greenspan, R. J., Haber, S. N., Hawrylycz, M., Herrera, D. G., Hilgetag, C. C., Huang, Z. J., Jones, A., Jones, E. G., Karten, H. J., Kleinfeld, D., Kötter, R., Lester, H. A., Lin, J. M., Mensh, B. D., Mikula, S., Panksepp, J., Price, J. L., Safdieh, J., Saper, C. B., Schiff, N. D., Schmahmann, J. D., Stillman, B. W., Svoboda, K., Swanson, L. W., Toga, A. W., Van Essen, D. C., Watson, J. D., & Mitra, P. P.
- Affiliations
- Cold Spring Harbor Laboratory (US)
- Boston University (US)
- University of Southern California (US)
- Massachusetts General Hospital (US)
- California Institute of Technology (US)
- Columbia University Irving Medical Center (US)
- Neurosciences Institute (US)
- University of Rochester Medicine (US)
- Allen Institute for Brain Science (US)
- Brigham and Women's Hospital (US)
- Constructor University (DE)
- University of California, Davis (US)
- University of California San Diego (US)
- Radboud University Nijmegen (NL)
- Washington State University (US)
- Washington University in St. Louis (US)
- Weill Cornell Medicine (US)
- Beth Israel Deaconess Medical Center (US)
- Howard Hughes Medical Institute (US)
- University of California, Los Angeles (US)
- Corresponding author
- Bohland, Jason W.
- ORCID
- Bohland, Jason W.
- Wu, Caizhi
- Barbas, Helen
- Bokil, Hemant
- Bota, Mihail
- Cline, Hollis T.
- Doyle, John C.
- Greenspan, Ralph J.
- Haber, Suzanne N.
- Hawrylycz, Michael
- Hilgetag, Claus C.
- Huang, Z. Josh
- Jones, Allan
- Jones, Edward G.
- Karten, Harvey J.
- Kleinfeld, David
- Lester, Henry A.
- Mensh, Brett D.
- Safdieh, Joseph
- Saper, Clifford B.
- Schiff, Nicholas D.
- Schmahmann, Jeremy D.
- Stillman, Bruce W.
- Svoboda, Karel
- Swanson, Larry W.
- Toga, Arthur W.
- Mitra, Partha P.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-03-27
- Volume
- 5
- Issue
- 3
- Pages
- e1000334
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2655718
- OpenAlex
- W2127695105
- Cited by
- 261
- References
- 145
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 9 · 2023: 7 · 2022: 7 · 2021: 10 · 2020: 19 · 2019: 14 · 2018: 11 · 2017: 15 · 2016: 19 · 2015: 16 · 2014: 25 · 2013: 26 · 2012: 30
- FWCI
- 12.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- OpenBU (Boston University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- W. M. Keck Foundation
- National Institute of Mental Health (R01MH060974)
- National Institute of Neurological Disorders and Stroke (R01NS033987)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Education › Undergraduate Neuroscience Education and Research
- Keywords
- neural circuit mapping, model organisms, tracer injection, human connectome, open access repositories
- MeSH terms
- Animals, Brain, Humans, Macaca, Models, Neurological, Nerve Net, Neuroanatomy, Research Design, Databases, Factual, Mice
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