Evidence map›Paper›PMID 24626135›Full record

ArticlePloS one2014

Noise provides new insights on contrast sensitivity function.

Ge Chen, Fang Hou, Fang-Fang Yan, Pan Zhang, Jie Xi, Yifeng Zhou, Zhong-Lin Lu, Chang-Bing Huang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

23 citing papers in PubMed, 31 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

8 authors at 4 institutions in 2 countries.

Ge ChenKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
Fang HouCenter for Cognitive and Brain Sciences, Department of Psychology, Ohio State University, Columbus, Ohio, United States of America.
Fang-Fang YanKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Pan ZhangKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Jie XiKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Yifeng ZhouKey Laboratory of Brain Function and Diseases, Chinese Academy of Sciences, and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.
Zhong-Lin LuCenter for Cognitive and Brain Sciences, Department of Psychology, Ohio State University, Columbus, Ohio, United States of America.
Chang-Bing HuangKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Institute of Psychology, Chinese Academy of Sciences · CNThe Ohio State University · USChinese Academy of Sciences · CNInstitute of Physics · CN

Funding

Efficient Assessment of Visual Deficits and Rehabilitation Methods in AmblyopiaR01EY021553 · NEI · OHIO STATE UNIVERSITY · PI LU, ZHONG-LIN · 2012 to 2016
$2.1M
NEI NIH HHS EY021553NEI NIH HHS R01 EY021553
6 · The paper itself

Abstract

Sensitivity to luminance difference, or contrast sensitivity, is critical for animals to survive in and interact with the external world. The contrast sensitivity function (CSF), which measures visual sensitivity to spatial patterns over a wide range of spatial frequencies, provides a comprehensive characterization of the visual system. Despite its popularity and significance in both basic research and clinical practice, it hasn't been clear what determines the CSF and how the factors underlying the CSF change in different conditions. In the current study, we applied the external noise method and perceptual template model to a wide range of external noise and spatial frequency (SF) conditions, and evaluated how the various sources of observer inefficiency changed with SF and determined the limiting factors underlying the CSF. We found that only internal additive noise and template gain changed significantly with SF, while the transducer non-linearity and coefficient for multiplicative noise were constant. The 12-parameter model provided a very good account of all the data in the 200 tested conditions (86.5%, 86.2%, 89.5%, and 96.4% for the four subjects, respectively). Our results suggest a re-consideration of the popular spatial vision model that employs the CSF as the front-end filter and constant internal additive noise across spatial frequencies. The study will also be of interest to scientists and clinicians engaged in characterizing spatial vision deficits and/or developing rehabilitation methods to restore spatial vision in clinical populations.

Indexed as

AdultAttentionFemaleHumansMaleModels, StatisticalPerceptionPsychometricsReproducibility of ResultsSignal Processing, Computer-AssistedSignal-To-Noise RatioSpatial NavigationVision, OcularYoung Adult

Identifiers

PMID24626135
PMCPMC3953123
OpenAlexW2033503939

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.