Evidence map›Paper›PMID 26990779›Full record

ArticleeLife2016

Quantitative neuroanatomy for connectomics in Drosophila.

Casey M Schneider-Mizell, Stephan Gerhard, Mark Longair, Tom Kazimiers, Feng Li, Maarten F Zwart, Andrew Champion, Frank M Midgley, Richard D Fetter, Stephan Saalfeld and 1 more

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

172 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. Tonically active interneurons gate motor output inbioRxiv : the preprint server for biology · 2026
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  10. Population Morphology Implies a Common Developmental Blueprint forbioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Sexual dimorphism in the complete connectome of thebioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. PyReconstruct: A fully open-source, collaborative successor to Reconstruct.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Casey M Schneider-MizellJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID http://orcid.org/0000-0001-9477-3853
Stephan GerhardJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Mark LongairInstitute of Neuroinformatics, University of Zurich, Zürich, Switzerland.
Tom KazimiersJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Feng LiJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Maarten F ZwartJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Andrew ChampionJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Frank M MidgleyJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Richard D FetterJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Stephan SaalfeldJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID http://orcid.org/0000-0002-4106-1761
Albert CardonaJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Neuronal circuit mapping using electron microscopy demands laborious proofreading or reconciliation of multiple independent reconstructions. Here, we describe new methods to apply quantitative arbor and network context to iteratively proofread and reconstruct circuits and create anatomically enriched wiring diagrams. We measured the morphological underpinnings of connectivity in new and existing reconstructions of Drosophila sensorimotor (larva) and visual (adult) systems. Synaptic inputs were preferentially located on numerous small, microtubule-free 'twigs' which branch off a single microtubule-containing 'backbone'. Omission of individual twigs accounted for 96% of errors. However, the synapses of highly connected neurons were distributed across multiple twigs. Thus, the robustness of a strong connection to detailed twig anatomy was associated with robustness to reconstruction error. By comparing iterative reconstruction to the consensus of multiple reconstructions, we show that our method overcomes the need for redundant effort through the discovery and application of relationships between cellular neuroanatomy and synaptic connectivity.

Indexed as

AnimalsConnectomeDrosophilaNervous SystemNervous System Physiological Phenomenaconnectomics<i>d. melanogaster</i>neuroanatomyneuroscienceproprioception

Identifiers

PMID26990779
PMCPMC4811773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.