Evidence map›Paper›PMID 38933850›Full record

ArticleFundamental research2024

Improving iconic memory through contrast detection training with HOA-corrected vision.

Ling Gong, Junlei Zhao, Yun Dai, Zili Wang, Fang Hou, Yudong Zhang, Zhong-Lin Lu, Jiawei Zhou

Abstract read
In one paragraph

Article in Fundamental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ling GongState Key Laboratory of Ophthalmology, Optometry and Vision Science, Eye Hospital, School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, China.
Junlei ZhaoInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Yun DaiChengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Zili WangState Key Laboratory of Ophthalmology, Optometry and Vision Science, Eye Hospital, School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, China.
Fang HouState Key Laboratory of Ophthalmology, Optometry and Vision Science, Eye Hospital, School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, China.
Yudong ZhangThe Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China.
Zhong-Lin LuDivision of Arts and Sciences, New York University Shanghai, Shanghai 200126, China.
Jiawei ZhouState Key Laboratory of Ophthalmology, Optometry and Vision Science, Eye Hospital, School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iconic memory and short-term memory are not only crucial for perception and cognition, but also of great importance to mental health. Here, we first showed that both types of memory could be improved by improving limiting processes in visual processing through perceptual learning. Normal adults were trained in a contrast detection task for ten days, with their higher-order aberrations (HOA) corrected in real-time. We found that the training improved not only their contrast sensitivity function (CSF), but also their iconic memory and baseline information maintenance for short-term memory, and the relationship between memory and CSF improvements could be well-predicted by an observer model. These results suggest that training the limiting component of a cognitive task with visual perceptual learning could improve visual cognition. They may also provide an empirical foundation for new therapies to treat people with poor sensory memory.

Indexed as

Contrast sensitivityHigher-order aberrationsIconic memoryPerceptual learningShort-term memory

Identifiers

PMID38933850
PMCPMC11197569

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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.