title: Morphology of the normal visual field in a population-based random sample: principal components analysis.
abstract: I applied principal components analysis to Humphrey central 24-2 threshold values from both eyes of 304 clinically normal persons selected by simple random sample from Barbados, WI. The first component, accounting for 62 per cent of the variation, is equivalent to the average threshold value within persons. The first eigenvector, when represented by grey scale maps depicting a pair of eyes, reveals that, as average threshold increases, the visual field rises and flattens, like an umbrella that, initially closed, is simultaneously opened and thrust upwards. I verify three numerical predictions based upon this umbrella description. Much less important sources of variation involve disparity between fellow eyes, and hemimeridional and other symmetric differences within eyes. I discuss briefly possible physiologic explanatory mechanisms.
authors.affiliation: Department of Preventive Medicine, State University of New York, Stony Brook 11790.
authors.forename: N
authors.initials: N
authors.lastname: Oden
mesh_terms: D001460:Barbados; D003936:Diagnosis, Computer-Assisted; D005163:Factor Analysis, Statistical; D006801:Humans; D009415:Nerve Net; D011159:Population Surveillance; D011237:Predictive Value of Tests; D012016:Reference Values; D012494:Sampling Studies; D058609:Visual Field Tests; D014794:Visual Fields