Evidence map›Paper›PMID 36950121›Full record

ArticleiScience2023

A model of decentralized vision in the sea urchin

Tianshu Li, John Kirwan, Maria Ina Arnone, Dan-Eric Nilsson, Giancarlo La Camera

Open access · goldFull text read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 3 countries.

Tianshu LiDepartment of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY, USA.
John KirwanStazione Zoologica Anton Dohrn, Naples, Italy.
Maria Ina ArnoneStazione Zoologica Anton Dohrn, Naples, Italy.
Dan-Eric NilssonLund Vision Group, Department of Biology, Lund University, Lund, Sweden.
Giancarlo La CameraDepartment of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY, USA.
Lund University · SEStony Brook University · USStazione Zoologica Anton Dohrn · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea urchins can detect light and move in relation to luminous stimuli despite lacking eyes. They presumably detect light through photoreceptor cells distributed on their body surface. However, there is currently no mechanistic explanation of how these animals can process light to detect visual stimuli and produce oriented movement. Here, we present a model of decentralized vision in echinoderms that includes all known processing stages, from photoreceptor cells to radial nerve neurons to neurons contained in the oral nerve ring encircling the mouth of the animals. In the model, light stimuli captured by photoreceptor cells produce neural activity in the radial nerve neurons. In turn, neural activity in the radial nerves is integrated in the oral nerve ring to produce a profile of neural activity reaching spatially across several ambulacra. This neural activity is readout to produce a model of movement. The model captures previously published data on the behavior of sea urchin

Indexed as

Behavioral neuroscienceMarine organismSensory neuroscienceSystems biology

Identifiers

PMID36950121
PMCPMC10025101
OpenAlexW4322625737

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read22
table measurements read1
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.