Evidence map›Paper›PMID 38862623›Full record

ArticleScientific reports2024

Higher-contrast images are better remembered during naturalistic encoding.

Limor Brook, Olga Kreichman, Shaimaa Masarwa, Sharon Gilaie-Dotan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Limor Brook *School of Optometry and Vision Science, Faculty of Life Science, Bar Ilan University, Ramat Gan, Israel.
Olga Kreichman *School of Optometry and Vision Science, Faculty of Life Science, Bar Ilan University, Ramat Gan, Israel.
Shaimaa MasarwaSchool of Optometry and Vision Science, Faculty of Life Science, Bar Ilan University, Ramat Gan, Israel.
Sharon Gilaie-DotanSchool of Optometry and Vision Science, Faculty of Life Science, Bar Ilan University, Ramat Gan, Israel. shagido@gmail.com.

Funding

Council for Higher Education Levzion to OKIsrael Science Foundation 1485/18 to SGD
6 · The paper itself

Abstract

It is unclear whether memory for images of poorer visibility (as low contrast or small size) will be lower due to weak signals elicited in early visual processing stages, or perhaps better since their processing may entail top-down processes (as effort and attention) associated with deeper encoding. We have recently shown that during naturalistic encoding (free viewing without task-related modulations), for image sizes between 3°-24°, bigger images stimulating more visual system processing resources at early processing stages are better remembered. Similar to size, higher contrast leads to higher activity in early visual processing. Therefore, here we hypothesized that during naturalistic encoding, at critical visibility ranges, higher contrast images will lead to higher signal-to-noise ratio and better signal quality flowing downstream and will thus be better remembered. Indeed, we found that during naturalistic encoding higher contrast images were remembered better than lower contrast ones (~ 15% higher accuracy, ~ 1.58 times better) for images at 7.5-60 RMS contrast range. Although image contrast and size modulate early visual processing very differently, our results further substantiate that at poor visibility ranges, during naturalistic non-instructed visual behavior, physical image dimensions (contributing to image visibility) impact image memory.

Indexed as

Photic StimulationAdultAttentionContrast SensitivityFemaleHumansMaleMemoryVisual PerceptionYoung Adult

Identifiers

PMID38862623
PMCPMC11166978

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.