Literature DB >> 7663331

Points of a normal visual field are not statistically independent.

B J Lachenmayr1, U Kiermeir, S Kojetinsky.   

Abstract

The aim of the present study was to determine whether the sensitivity values at individual test locations in a normal visual field are statistically independent. A total of 144 eyes of 144 normal subjects were tested with the Humphrey Field Analyzer, program 30-2. For each point in the visual field the pairwise correlation of sensitivity values to all other points was calculated together with the angular distance between points. The overall 2775 correlation coefficients were plotted as a function of angular distance. With increasing distance the correlation coefficients decrease continually from 0.63 (distance 6 degrees) to approx. 0.5 (distance 30 degrees and above). The strong relationship between adjacent points that is present at up to 30 degrees is destroyed by intraindividual randomisation of the visual field data. Interindividual randomisation abolishes any correlation. Adjacent locations in a normal visual field are strongly statistically related to each other. Two patterns may be separated; part of the correlation is an intrinsic neighbourhood effect present up to 30 degrees and part is due to the observation that the sensitivity values of a specific visual field are obtained from the same subject and are thus not independent. Therefore, for the calculation of normal values, procedures have to be developed that take the relationship between neighbouring points into consideration.

Mesh:

Year:  1995        PMID: 7663331

Source DB:  PubMed          Journal:  Ger J Ophthalmol        ISSN: 0941-2921


  10 in total

1.  Visual field progression: comparison of Humphrey Statpac2 and pointwise linear regression analysis.

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Review 2.  Detection of visual field progression in glaucoma with standard achromatic perimetry: a review and practical implications.

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3.  Quantification of Visual Field Variability in Glaucoma: Implications for Visual Field Prediction and Modeling.

Authors:  Alessandro Rabiolo; Esteban Morales; Abdelmonem A Afifi; Fei Yu; Kouros Nouri-Mahdavi; Joseph Caprioli
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4.  Investigating the Influence of Visual Function and Systemic Risk Factors on Falls and Injurious Falls in Glaucoma Using the Structural Equation Modeling.

Authors:  Kenya Yuki; Ryo Asaoka; Kazuo Tsubota
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5.  The relationship between central visual field damage and motor vehicle collisions in primary open-angle glaucoma patients.

Authors:  Kenya Yuki; Ryo Asaoka; Kazuo Tsubota
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6.  Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma.

Authors:  Jack Phu; Sieu K Khuu; Bang V Bui; Michael Kalloniatis
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7.  Identifying areas of the visual field important for quality of life in patients with glaucoma.

Authors:  Hiroshi Murata; Hiroyo Hirasawa; Yuka Aoyama; Kenji Sugisaki; Makoto Araie; Chihiro Mayama; Makoto Aihara; Ryo Asaoka
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8.  Impact of better and worse eye damage on quality of life in advanced glaucoma.

Authors:  Mizu Okamoto; Kenji Sugisaki; Hiroshi Murata; Hiroyo Hirasawa; Chihiro Mayama; Ryo Asaoka
Journal:  Sci Rep       Date:  2014-02-20       Impact factor: 4.379

9.  Reducing Spatial Uncertainty Through Attentional Cueing Improves Contrast Sensitivity in Regions of the Visual Field With Glaucomatous Defects.

Authors:  Jack Phu; Michael Kalloniatis; Sieu K Khuu
Journal:  Transl Vis Sci Technol       Date:  2018-03-23       Impact factor: 3.283

10.  Pattern Recognition Analysis Reveals Unique Contrast Sensitivity Isocontours Using Static Perimetry Thresholds Across the Visual Field.

Authors:  Jack Phu; Sieu K Khuu; Lisa Nivison-Smith; Barbara Zangerl; Agnes Yiu Jeung Choi; Bryan W Jones; Rebecca L Pfeiffer; Robert E Marc; Michael Kalloniatis
Journal:  Invest Ophthalmol Vis Sci       Date:  2017-09-01       Impact factor: 4.799

  10 in total

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