Evidence map›Paper›PMID 36976249›Full record

ArticleeLife2023

Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome.

Benjamin D Pedigo, Mike Powell, Eric W Bridgeford, Michael Winding, Carey E Priebe, Joshua T Vogelstein

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Graph embeddings for identifying symmetries in Connectomes.bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

6 authors.

Benjamin D PedigoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-9519-1190
Mike PowellDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0003-2749-3725
Eric W BridgefordDepartment of Biostatistics, Johns Hopkins University, Baltimore, United States.ORCID 0000-0001-6115-719X
Michael WindingDepartment of Zoology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1965-3266
Carey E PriebeDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, United States.ORCID 0000-0002-0139-7201
Joshua T VogelsteinDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.ORCID 0000-0003-2487-6237

Funding

Graspy: A python package for rigorous statistical analysis of populations of attributed connectomesRF1MH123233 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PRIEBE, CAREY, VOGELSTEIN, JOSHUA T · 2020 to 2020
$1.2M
Medical Research Council MC_UP_1201/20NIMH NIH HHS RF1 MH123233
6 · The paper itself

Abstract

Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an open problem, and such analysis has not been extensively applied to nanoscale connectomes. Here, we investigate this problem via a case study on the bilateral symmetry of a larval

Indexed as

ConnectomeAnimalsBrainDrosophilaLarvaNervous Systemcircuit modelingconnectomicsD. melanogasterelectron microscopyneurosciencestatistical modeling

Identifiers

PMID36976249
PMCPMC10115445

What Socratic 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 Socratic graph.