December 2015
Volume 56, Issue 13
Research Highlight  |   December 2015
Squiggly Lines and Wiggly Data
Author Affiliations
  • Ted Maddess
    Eccles Institute for Neuroscience John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia;
Investigative Ophthalmology & Visual Science December 2015, Vol.56, 7806. doi:
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Ted Maddess; Squiggly Lines and Wiggly Data. Invest. Ophthalmol. Vis. Sci. 2015;56(13):7806.

      Download citation file:

      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements
How much attention do we pay to the squiggly line at the bottom of our Humphrey Visual Field Analyzer (HFA) automated perimetry reports? This gaze tracking line has been available for many years. How many of us can accurately translate the code of the smaller and larger deflections along the line? Thus far little or no analysis of the utility of those data has been attempted. In a recent series of papers, Ishiyama, Murata, Asaoka, and colleagues have been investigating the possible utility of that information for assessing glaucoma patients. Initially their papers concentrated on correlation with test–retest variability (TRV) and related concepts. Test–retest variability is a serious issue that spoils our attempts to track progression of visual field loss. For completeness I mention a few important TRV papers here other than those cited in the authors' current paper.13 The current study by Ishiyama et al.4 goes a step further and shows that blink rates, tracking failures, and, particularly, eye movements of between 3° and 5° are also related to retinal structural parameters such as retinal nerve fiber layer (RNFL) thickness. The group shows that these effects are relatively independent of traditionally reported summary measures such as false-positive and -negative rates. Overall, the study suggests that not only is fixation jitter quite problematic in automated perimetry, but also that gaze tracking may be telling us something about glaucoma severity as well. Thus we may want to go beyond just trying to eliminate fixation losses, and instead use them. In any case, it is time to develop summary statistics from the gaze tracking data, and these authors are pointing the way as to what those statistics should be. 
Artes P, Iwase A, Ohno Y, Kitazawa Y, Chauhan B. Properties of perimetric threshold estimates from Full Threshold, SITA Standard, and SITA Fast strategies. Invest Ophthalmol Vis Sci. 2002; 43: 2654–2659.
Chauhan BC, Garway-Heath DF, Goni FJ, et al. Practical recommendations for measuring rates of visual field change in glaucoma. Br J Ophthalmol. 2008; 92: 569–573.
Heijl A, Lindgren A, Lindgren G. Test-retest variability in glaucomatous visual fields. Am J Ophthalmol. 1989; 108: 130–135.
Ishiyama Y, Murata H, Hirasawa H, Asaoka R. Estimating the usefulness of Humphrey perimetry gaze tracking for evaluating structure–function relationship in glaucoma. Invest Ophthalmol Vis Sci. 2015; 56: 7801–7805.

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.