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Updated: Mar 22, 2026

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
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Predicting Accommodative Response Using Paraxial Schematic Eye Models.

Viswanathan Ramasubramanian1, Adrian Glasser

  • 1*PhD The College of Optometry, University of Houston, Houston, Texas (all authors).

Optometry and Vision Science : Official Publication of the American Academy of Optometry
|April 20, 2016
PubMed
Summary
This summary is machine-generated.

Paraxial schematic eyes (SE) accurately predict accommodative optical response (AOR) with a 0.50D standard deviation in young and pre-presbyopic individuals. This method incorporates all ocular biometric parameters for improved predictive accuracy.

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Optometry

Background:

  • Previous ultrasound biomicroscopy (UBM) studies established linear relationships for predicting accommodative optical response (AOR) from biometric changes.
  • These predictions had a standard deviation below 0.55D in young and pre-presbyopic populations.

Purpose of the Study:

  • To construct paraxial schematic eyes (SE) using measured accommodative ocular biometry.
  • To determine if these SE models improve the prediction of AOR compared to previous methods.

Main Methods:

  • Ocular biometry parameters were measured using OCT, A-scan, and UBM in 48 subjects (24 young, 24 pre-presbyopic).
  • Individual paraxial SEs were constructed for each subject using three lens equivalent refractive index methods.
  • Calculated AOR from individual SEs were compared against Grand Seiko (GS) autorefractor measurements.

Main Results:

  • A linear relationship was found between SE-calculated and GS-measured AOR (young: r=0.86; pre-presbyopic: r=0.55).
  • The mean absolute difference in AOR between GS and individual SEs was 0.50D for both young and pre-presbyopic subjects.
  • Average SEs showed a larger mean absolute difference (0.77D for young, 0.51D for pre-presbyopic).

Conclusions:

  • Individual paraxial SEs predict AOR with a standard deviation of 0.50D in both young and pre-presbyopic populations.
  • This predictive model, while marginally better than linear regressions, comprehensively integrates all ocular biometric parameters.