Evidence map›Paper›PMID 17475802›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2007

The effect of angioscotomas on map structure in primary visual cortex.

Clare E Giacomantonio, Geoffrey J Goodhill

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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  5. Review
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

2 authors at 1 institution in 1 country.

Clare E GiacomantonioQueensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia.
Geoffrey J Goodhill
The University of Queensland · AU

Funding

CRCNS Spontan. Activ. Lateral Interactions &Cort. MapsR01MH073357 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI DALVA, MATTHEW B · 2004 to 2006
$824k
NIMH NIH HHS MH073357NIMH NIH HHS R01 MH073357
6 · The paper itself

Abstract

When blood vessels occlude the photoreceptor layer in the retina, they cast shadows onto the photoreceptors, creating angioscotomas (regions of the visual field to which that eye is blind). Remarkably, Adams and Horton (2002) have recently shown that it is sometimes possible to observe representations of these angioscotomas anatomically in the primary visual cortices of squirrel monkeys. However, there is substantial variability in the degree and form of these representations. The source of this variability is difficult to determine experimentally, because experimental studies are unavoidably limited by small sample size. In addition, experimental studies cannot compare the map structure that would develop with and without an angioscotoma. Here, we investigate these phenomena computationally using feature-mapping models of visual cortical development, which are not subject to the same limitations. These models suggest that the primary source of variability in angioscotoma representation is the precise timing of the onset of visual experience relative to the time course of ocular dominance column segregation. Furthermore, the models predict that angioscotomas could compete for control of local column layout with other influences such as cortical shape but that they have a small effect on the structure of orientation preference maps.

Indexed as

Models, NeurologicalBrain MappingScotomaVisual CortexVisual FieldsVisual Pathways

Identifiers

PMID17475802
PMCPMC6672106
OpenAlexW1990110237

What OpenQuestion holds

Textmetadata
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.