July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Portable VEP Diagnostics for NeuroVisual Disorders
Author Affiliations & Notes
  • Srinivas Sridhar
    Northeastern University, Massachusetts, United States
    NeuroFieldz Inc, Newton, Massachusetts, United States
  • Craig Versek
    NeuroFieldz Inc, Newton, Massachusetts, United States
  • Ali Banijamali
    Northeastern University, Massachusetts, United States
  • Anthony Tran
    Northeastern University, Massachusetts, United States
  • Armando Cardozo
    Northeastern University, Massachusetts, United States
  • Kameran Lashkari
    Harvard Medical School, Massachusetts, United States
  • Peter Bex
    Northeastern University, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Srinivas Sridhar, NeuroFieldz Inc (I); Craig Versek, NeuroFieldz Inc (I); Ali Banijamali, None; Anthony Tran, None; Armando Cardozo, None; Kameran Lashkari, None; Peter Bex, None
  • Footnotes
    Support  NIH Grant 1R41AG057250-01
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 3591. doi:
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      Srinivas Sridhar, Craig Versek, Ali Banijamali, Anthony Tran, Armando Cardozo, Kameran Lashkari, Peter Bex; Portable VEP Diagnostics for NeuroVisual Disorders. Invest. Ophthalmol. Vis. Sci. 2019;60(9):3591.

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

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Abstract

Purpose : Visual Evoked Potentials (VEPs) provide objective neuro-opthalmologic assessments that avoid patient task performance but utilizes invasive and cumbersome apparatus. We have developed a system that combines a scalp neuroelectric potential and field sensor with a smartphone in a portable wireless display headset called the NeuroDotVR (Figure 1). The system records VEPs and Fields (VEPF) in response to dichoptic stimuli presented on the smartphone display for a range of neuro-oplthalmologic disorders. We evaluate the NeuroDotVR for Dark Adaptation Recovers (DAR), a key biomarker for age-related macular degeneration (AMD).

Methods : DAR was measured simultaneously in both eyes of # patients with AMD and # age-matched controls. Following a 60s photobleach (400 cd/m2 white cellphone screen), recovery of visual sensitivity was recorded with VEPFs to pattern reversal checkerboard stimuli presented to the central (2.6 - 16 degrees) and peripheral ( 16 – 33 degrees) macula of each eye.

Results : The dominant DAR response is centered around approximately P350 ms, in both normal subjects and AMD patients (Figure 2). The well-known N70-P100-N140 complex commonly observed in full brightness VEP response is absent over the entire 15 min recovery window. The amplitude of the DAR response is significantly delayed in patients with AMD. We developed a metric for DAR that can classify patients with AMD and provides a diagnostic marker for AMD based on VEP response.

Conclusions : NeuroDotVR is a comfortable, objective, portable wireless system that measures monocular and binocular VEPFs at multiple locations of the visual field. DAR can be measured with the system without requiring task performance and can classify deficits in DAR in patients with AMD.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Fig. 1 Overview of the NeuroDotVR system

Fig. 1 Overview of the NeuroDotVR system

 

Figure 2. Evolution of VEP response under Dark Adaptation Recovery for a normally-sighted subject.

Figure 2. Evolution of VEP response under Dark Adaptation Recovery for a normally-sighted subject.

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