Literature DB >> 30326065

Binocular Summation in Postillumination Pupil Response Driven by Melanopsin-Containing Retinal Ganglion Cells.

Marija Zivcevska1,2, Alan Blakeman3, Shaobo Lei3, Herbert C Goltz2,3,4, Agnes M F Wong2,3,4,5.   

Abstract

Purpose: To investigate how melanopsin-mediated intrinsically photosensitive retinal ganglion cell (ipRGC) signals are integrated binocularly using chromatic pupillometry. We hypothesized that if the melanopsin system is summative, there will be a greater postillumination pupillary response (PIPR) under binocular conditions after viewing bright blue light.
Methods: Pupillary responses in 10 visually normal participants were recorded with an eye tracker following full-field stimulation of red (long wavelength) and blue (short wavelength) light of equal intensity (dim: 0.1 cd [candela]/m2, bright: 60 cd/m2) and duration (400 ms). Individual monocular (left eye) pupil responses were measured first, followed by binocular responses. Each participant repeated the same protocol on 3 separate days, at similar times of day. PIPR was recorded for bright red and blue conditions only, whereas maximum pupillary constriction (MPC) was measured under both bright and dim conditions during red and blue light stimulation.
Results: Bright blue light stimulation induced greater PIPR under binocular than monocular viewing conditions (F(1,9) = 79.52, P < 0.001). Bright red light stimulation induced minimal PIPR and showed no significant difference between viewing conditions post Bonferroni correction (F(1,9) = 5.49, P = 0.04). MPC was greater during binocular than monocular viewing conditions for all light stimuli, but was greatest following blue compared to red light stimulation. Conclusions: A larger PIPR was induced using a binocular than a monocular full-field stimulus of equal intensity and duration, demonstrating that melanopsin-mediated ipRGC signals are summated binocularly. This study expands our current understanding of the melanopsin system and may be used as an additional marker to stratify diseases according to their etiologies.

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Year:  2018        PMID: 30326065     DOI: 10.1167/iovs.18-24639

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  1 in total

1.  Artificial Intelligence Segmentation Algorithm-Based Optical Coherence Tomography Image in Evaluation of Binocular Retinopathy.

Authors:  Jiemei Shen
Journal:  Comput Math Methods Med       Date:  2022-06-01       Impact factor: 2.809

  1 in total

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