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dc.contributor.authorPhu, J
dc.contributor.authorKhuu, SK
dc.contributor.authorNivison-Smith, L
dc.contributor.authorZangerl, B
dc.contributor.authorChoi, AYJ
dc.contributor.authorJones, BW
dc.contributor.authorPfeiffer, RL
dc.contributor.authorMarc, RE
dc.contributor.authorKalloniatis, M
dc.date.accessioned2020-12-17T04:39:15Z
dc.date.available2020-12-17T04:39:15Z
dc.date.issued2017-09-01
dc.identifierpii: 2655095
dc.identifier.citationPhu, J., Khuu, S. K., Nivison-Smith, L., Zangerl, B., Choi, A. Y. J., Jones, B. W., Pfeiffer, R. L., Marc, R. E. & Kalloniatis, M. (2017). Pattern Recognition Analysis Reveals Unique Contrast Sensitivity Isocontours Using Static Perimetry Thresholds Across the Visual Field. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 58 (11), pp.4863-4876. https://doi.org/10.1167/iovs.17-22371.
dc.identifier.issn0146-0404
dc.identifier.urihttp://hdl.handle.net/11343/255402
dc.description.abstractPurpose: To determine the locus of test locations that exhibit statistically similar age-related decline in sensitivity to light increments and age-corrected contrast sensitivity isocontours (CSIs) across the central visual field (VF). We compared these CSIs with test point clusters used by the Glaucoma Hemifield Test (GHT). Methods: Sixty healthy observers underwent testing on the Humphrey Field Analyzer 30-2 test grid using Goldmann (G) stimulus sizes I-V. Age-correction factors for GI-V were determined using linear regression analysis. Pattern recognition analysis was used to cluster test locations across the VF exhibiting equal age-related sensitivity decline (age-related CSIs), and points of equal age-corrected sensitivity (age-corrected CSIs) for GI-V. Results: There was a small but significant test size-dependent sensitivity decline with age, with smaller stimuli declining more rapidly. Age-related decline in sensitivity was more rapid in the periphery. A greater number of unique age-related CSIs was revealed when using smaller stimuli, particularly in the mid-periphery. Cluster analysis of age-corrected sensitivity thresholds revealed unique CSIs for GI-V, with smaller stimuli having a greater number of unique clusters. Zones examined by the GHT consisted of test locations that did not necessarily belong to the same CSI, particularly in the periphery. Conclusions: Cluster analysis reveals statistically significant groups of test locations within the 30-2 test grid exhibiting the same age-related decline. CSIs facilitate pooling of sensitivities to reduce the variability of individual test locations. These CSIs could guide future structure-function and alternate hemifield asymmetry analyses by comparing matched areas of similar sensitivity signatures.
dc.languageEnglish
dc.publisherASSOC RESEARCH VISION OPHTHALMOLOGY INC
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.titlePattern Recognition Analysis Reveals Unique Contrast Sensitivity Isocontours Using Static Perimetry Thresholds Across the Visual Field
dc.typeJournal Article
dc.identifier.doi10.1167/iovs.17-22371
melbourne.affiliation.departmentAnatomy and Neuroscience
melbourne.source.titleInvestigative Ophthalmology and Visual Science
melbourne.source.volume58
melbourne.source.issue11
melbourne.source.pages4863-4876
dc.rights.licenseCC BY-NC-ND
melbourne.elementsid1257065
melbourne.contributor.authorKalloniatis, Michael
dc.identifier.eissn1552-5783
melbourne.accessrightsOpen Access


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