May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Being "Slow to See" Is a Dynamic Visual Function Consequence of Infantile Nystagmus Syndrome: Model Predictions and Patient Data Identify Stimulus Timing as Its Cause
Author Affiliations & Notes
  • Z. I. Wang
    Daroff-Dell'Osso Ocular Motility Laboratory, LSCDVA Medical Center and CASE Medical School, Cleveland, Ohio
    Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
  • L. F. Dell'Osso
    Daroff-Dell'Osso Ocular Motility Laboratory, LSCDVA Medical Center and CASE Medical School, Cleveland, Ohio
    Neurology and Biomedical Engineering, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio
  • Footnotes
    Commercial Relationships Z.I. Wang, None; L.F. Dell'Osso, None.
  • Footnotes
    Support VA Merit Review
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 878. doi:
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      Z. I. Wang, L. F. Dell'Osso; Being "Slow to See" Is a Dynamic Visual Function Consequence of Infantile Nystagmus Syndrome: Model Predictions and Patient Data Identify Stimulus Timing as Its Cause. Invest. Ophthalmol. Vis. Sci. 2007;48(13):878.

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

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Abstract

Purpose:: To investigate the dynamic properties of Infantile Nystagmus Syndrome (INS) that affect visual function; i.e., which factors influence latency of the initial voluntary saccade (Ls) and latency to target acquisition (Lt).

Methods:: We used our behavioral Ocular Motor System (OMS) model to simulate saccadic responses (in the presence of INS) to target jumps at different times within a single INS cycle and at random times during multiple cycles. We then studied the responses of 4 INS subjects with different waveforms to test the model’s predictions. Infrared reflection was used for 1 INS subject, high-speed digital video for 3. We recorded and analyzed human responses to large and small target-step stimuli. We evaluated the following factors: stimulus time within the cycle (Tc), normalized Tc (Tc%), initial orbital position (Po), saccade amplitude, initial retinal error (ei), and final retinal error (ef). The ocular motor simulations were performed in MATLAB Simulink environment and the analysis was performed in MATLAB environment using OMLAB software. Both the OMS model and OMtools software are available from http://www.omlab.org.

Results:: Our data analysis showed that for each subject, Ls was a fixed value that is typically higher than the normal saccadic latency. For Lt, Tc% was the most influential factor for each waveform type. The OMS model outputs predicted and accurately simulated human data. The main refixation strategies employed by INS subjects made use of slow and fast phases and catch-up saccades, or combinations of them. These strategies helped the subjects to foveate effectively after target movement, sometimes at the cost of increased target acquisition time.

Conclusions:: Saccades, whether foveating or braking, seemed to disrupt the OMS’ ability to accurately calculate saccade amplitude and refoveate. Idiosyncratic variations in the prolongation of Ls occurred among INS subjects. Our OMS model simulations demonstrated this emergent behavior; this robust model can be used to both predict and reinforce data analysis in future research.

Keywords: nystagmus • eye movements: saccades and pursuits • visual impairment: neuro-ophthalmological disease 
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