Evidence map›Paper›PMID 34837731›Full record

ReviewCurrent opinion in neurobiology2021

Neural architectures in the light of comparative connectomics.

Elizabeth Barsotti, Ana Correia, Albert Cardona

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023
    Review
  9. Comparative connectomics reveals noncanonical wiring for color vision in human foveal retina.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Elizabeth BarsottiMRC Laboratory of Molecular Biology, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, UK.
Ana CorreiaMRC Laboratory of Molecular Biology, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, UK.
Albert CardonaMRC Laboratory of Molecular Biology, Cambridge, UK; Department of Physiology, Development and Neuroscience, University of Cambridge, UK. Electronic address: acardona@mrc-lmb.cam.ac.uk.
MRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_UP_1201/21Wellcome TrustWellcome Trust 205038/Z/16/Z
6 · The paper itself

Abstract

Since the Cambrian, animals diversified from a few body forms or bauplans, into many extinct and all extant species. A characteristic neural architecture serves each bauplan. How the connectome of each animal differs from that of closely related species or whether it converged into an optimal architecture shared with more distant ones is unknown. Recent technological innovations in molecular biology, microscopy, digital data storage and processing, and computational neuroscience have lowered the barriers for whole-brain connectomics. Comparative connectomics of suitable, relatively small, representative species across the phylogenetic tree can infer the archetypal neural architecture of each bauplan and identify any circuits that possibly converged onto a shared and potentially optimal, structure.

Indexed as

ConnectomeNeurosciencesAnimalsBrainPhylogeny

Identifiers

PMID34837731
PMCPMC8694100
OpenAlexW3217550879

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.