PSYCH OpenIR  > 中国科学院行为科学重点实验室
Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging
Yan, Fang-Fang1,2; Hou, Fang3,4; Lu, Zhong-Lin3,4; Hu, Xiaopeng5; Huang, Chang-Bing1
2017-07-11
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
SubtypeArticle
Volume7Issue:0Pages:1-15
Abstract

The contrast sensitivity function (CSF), delineating contrast sensitivity over a wide range of spatial frequencies, provides a comprehensive characterization of spatial vision and a sensitive test for many physiological and pathological processes. A precise CSF measurement tool for the aging population is of great theoretical and practical importance. In the current study, we tested whether the assumptions of the newly developed quick CSF method were valid and whether it can rapidly, reliably, and effectively evaluate CSFs in the aging population. The quick CSF method combines Bayesian adaptive inference with an information gain strategy to directly estimate four parameters that define the observer's CSF. Eighteen young and twenty-five old observers participated in the evaluation of the quick CSF method. All observers were screened for ophthalmological and mental diseases. Our results showed that the CSFs derived from the quick CSF method well matched with those from the traditional. method, with excellent test-retest reliability. More importantly, the quick CSF method can accurately detect the difference of CSFs between the young and old groups. Aging significantly degrades contrast sensitivity. The quick CSF method demonstrates great potentials for both laboratory research and clinical applications in the aging population.

DOI10.1038/s41598-017-05294-0
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China (NSFC)(31470983 ; Knowledge Innovation Program of the Chinese Academy of Sciences(Y3CX102003) ; National Eye Institute(EY021553) ; 31230032)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000405172600012
WOS HeadingsScience & Technology
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/21637
Collection中国科学院行为科学重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China
3.Ohio State Univ, Ctr Cognit & Brain Sci, Ctr Behav & Cognit Brain Imaging, Lab Brain Proc LOBES, Columbus, OH 43210 USA
4.Ohio State Univ, Dept Psychol, Columbus, OH 43210 USA
5.Anhui Med Univ, Dept Radiol, Affiliated Hosp 1, Hefei 230022, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Yan, Fang-Fang,Hou, Fang,Lu, Zhong-Lin,et al. Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging[J]. SCIENTIFIC REPORTS,2017,7(0):1-15.
APA Yan, Fang-Fang,Hou, Fang,Lu, Zhong-Lin,Hu, Xiaopeng,&Huang, Chang-Bing.(2017).Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging.SCIENTIFIC REPORTS,7(0),1-15.
MLA Yan, Fang-Fang,et al."Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging".SCIENTIFIC REPORTS 7.0(2017):1-15.
Files in This Item:
File Name/Size DocType Version Access License
Efficient Characteri(6844KB)期刊论文出版稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yan, Fang-Fang]'s Articles
[Hou, Fang]'s Articles
[Lu, Zhong-Lin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yan, Fang-Fang]'s Articles
[Hou, Fang]'s Articles
[Lu, Zhong-Lin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yan, Fang-Fang]'s Articles
[Hou, Fang]'s Articles
[Lu, Zhong-Lin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.