June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Multidimensional Scaling of Belmonte Esthesiometer Stimuli.
Author Affiliations & Notes
  • Trefford L Simpson
    School of Optometry and Vision Science, University of Waterloo, Waterloo, ON, Canada
  • Yunwei Feng
    School of Optometry and Vision Science, University of Waterloo, Waterloo, ON, Canada
  • Ping Situ
    School of Optometry, Indiana University, Bloomington, IN
  • Carolyn G Begley
    School of Optometry, Indiana University, Bloomington, IN
  • Footnotes
    Commercial Relationships Trefford Simpson, None; Yunwei Feng, None; Ping Situ, None; Carolyn Begley, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 6079. doi:https://doi.org/
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      Trefford L Simpson, Yunwei Feng, Ping Situ, Carolyn G Begley; Multidimensional Scaling of Belmonte Esthesiometer Stimuli.. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):6079. doi: https://doi.org/.

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

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Abstract
 
Purpose
 

To determine the relationship between mechanical, and chemical pneumatic stimulation of the cornea, using multidimensional scaling (MDS).

 
Methods
 

Using an ascending method of limits, central corneal thresholds in 9 normal subjects were measured with room- and eye-temperature mechanical and chemical stimuli using computer controlled Belmonte pneumatic esthesiometer. Warm & cool mechanical and chemical stimuli at 1.5x or 2x threshold (8 stimulus configurations in total) were then used for MDS. The similarities of all pair-wise combinations of these 8 stimuli (28 in total) were rated (in random order) on a continuous scale (0-100) “exactly the same” to “completely different”. For example, subjects had to rate the similarity of a cool mechanical stimulus, 1.5x threshold and a warmer chemical stimulus, 2x threshold. Average and individual dissimilarity matrices were analyzed using Smacof, Indscal and Proxscal in R and SPSS.

 
Results
 

Scree plots showed that 2 dimensions were needed to account for the dissimilarity data. Fig. 1 shows a 2 dimensional solution with labels shaded using cluster analysis. The labels are c or m (chem/mech) 15 or 2 (1.5x / 2x thresh) and 24 or 50 (room/eye temp). The lower rightmost cluster includes all 4 chemical stimuli and to the left are the 2 eye-temperature mechanical stimuli. The upper rightmost stimuli are the coolest (room temperature mechanical) with the eye-temperature stimuli lower and more leftward. Indscal weights suggested that 1 subject’s ratings were dissimilar to the others.

 
Conclusions
 

This is the first integrated examination of whether the stimuli produce the desired sensory effects based on the underlying neurophysiology. Our results are not predicted by the physiology: There appear to be primarily ‘discomfort’ (mechanical-chemical) and thermal dimensions. This is surprisingly similar to the results obtained when words for the sensory attributes of the ocular surface were examined using MDS (ARVO 2012).  

 
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