Evidence map›Paper›PMID 33052409›Full record

ArticleJournal of vision2020

Pupillary response to representations of light in paintings.

Serena Castellotti, Martina Conti, Claudia Feitosa-Santana, Maria Michela Del Viva

Abstract read
In one paragraph

Article in Journal of vision, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

4 authors.

Serena CastellottiDepartment of Neurofarba, University of Florence, Florence, Italy.
Martina ContiDepartment of Neurofarba, University of Florence, Florence, Italy.
Claudia Feitosa-SantanaFederal University of ABC, Sao Bernardo do Campo, Brazil.
Maria Michela Del VivaDepartment of Neurofarba, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that, although the level of light is the primary determinant of pupil size, cognitive factors can also affect pupil diameter. It has been demonstrated that photographs of the sun produce pupil constriction independently of their luminance and other low-level features, suggesting that high-level visual processing may also modulate pupil response. Here, we measure pupil response to artistic paintings of the sun, moon, or containing a uniform lighting, that, being mediated by the artist's interpretation of reality and his technical rendering, require an even higher level of interpretation compared with photographs. We also study how chromatic content and spatial layout affect the results by presenting grey-scale and inverted versions of each painting. Finally, we assess directly with a categorization test how subjective image interpretation affects pupil response. We find that paintings with the sun elicit a smaller pupil size than paintings with the moon, or paintings containing no visible light source. The effect produced by sun paintings is reduced by disrupting contextual information, such as by removing color or manipulating the relations between paintings features that make more difficult to identify the source of light. Finally, and more importantly, pupil diameter changes according to observers' interpretation of the scene represented in the same stimulus. In conclusion, results show that the subcortical pupillary response to light is modulated by subjective interpretation of luminous objects, suggesting the involvement of cortical systems in charge of cognitive processes, such as attention, object recognition, familiarity, memory, and imagination.

Indexed as

LightPaintingsAdultAttentionFemaleHumansMalePupilReflex, PupillaryVision, OcularVisual PerceptionYoung Adult

Identifiers

PMID33052409
PMCPMC7571318

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Registered trials

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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.