Evidence map›Paper›PMID 35796159›Full record

ArticleHuman brain mapping2022

Highly accurate retinotopic maps of the physiological blind spot in human visual cortex.

Poutasi W B Urale, Alexander M Puckett, Ashley York, Derek Arnold, D Samuel Schwarzkopf

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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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 2 institutions in 3 countries.

Poutasi W B UraleSchool of Optometry & Vision Science, University of Auckland, Auckland, New Zealand.
Alexander M PuckettSchool of Psychology, University of Queensland, Brisbane, Queensland, Australia.
Ashley YorkSchool of Psychology, University of Queensland, Brisbane, Queensland, Australia.
Derek ArnoldSchool of Psychology, University of Queensland, Brisbane, Queensland, Australia.
D Samuel SchwarzkopfSchool of Optometry & Vision Science, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-3686-1622
The University of Queensland · AUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physiological blind spot is a naturally occurring scotoma corresponding with the optic disc in the retina of each eye. Even during monocular viewing, observers are usually oblivious to the scotoma, in part because the visual system extrapolates information from the surrounding area. Unfortunately, studying this visual field region with neuroimaging has proven difficult, as it occupies only a small part of retinotopic cortex. Here, we used functional magnetic resonance imaging and a novel data-driven method for mapping the retinotopic organization in and around the blind spot representation in V1. Our approach allowed for highly accurate reconstructions of the extent of an observer's blind spot, and out-performed conventional model-based analyses. This method opens exciting opportunities to study the plasticity of receptive fields after visual field loss, and our data add to evidence suggesting that the neural circuitry responsible for impressions of perceptual completion across the physiological blind spot most likely involves regions of extrastriate cortex-beyond V1.

Indexed as

Optic DiskVisual CortexBrain MappingHumansScotomaVisual FieldsVisual Field Testsblind spotpopulation receptive fieldsprimary visual cortexretinotopyreverse correlationscotomavision loss

Identifiers

PMID35796159
PMCPMC9812231
OpenAlexW4284700003

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.