2016
DOI: 10.1007/s10633-016-9538-x
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Comparison of photopic negative response (PhNR) between focal macular and full-field electroretinograms in monkeys

Abstract: Both the focal macular and full-field PhNRs reflect the functional properties of the inner retina including the retinal ganglion cells (RGCs). Relative to the b-wave, the contribution is weighted more heavily in the focal macular than in the full-field PhNR. Furthermore, these results support the idea that the focal macular PhNR can be an indicator of the function of the macular RGCs.

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Cited by 4 publications
(4 citation statements)
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“…To determine RGCs functionality and visual signal conduction to the brain in Wfs1 mutant mice, we exploited whole field photopic electroretinogram (pERG), which measures action potentials produced by the retina when it is stimulated by light of adequate intensity and it is the composite of electrical activity from the photoreceptors, inner retina, and RGCs. In photopic conditions, the negative response (PhNR) wave represents the RGC spiking activity originating from light-adapted cones and allows the detection of RGC-specific alterations ( Gotoh et al, 2004 ; Kinoshita et al, 2016 ). Whilst pERG measurements were comparable between wild-type and Wfs1 mutant mice at 2 months of age ( WT : 68±5; Wfs1- KO: 72±6; p<0.05), a prolonged implicit time, which refers to the interval between the stimulation and the peak of the negative response, was detected in 4 months old Wfs1 -deficient animals ( WT : 76±5; Wfs1- KO: 82±6; p<0.05) ( Figure 1A ).…”
Section: Resultsmentioning
confidence: 99%
“…To determine RGCs functionality and visual signal conduction to the brain in Wfs1 mutant mice, we exploited whole field photopic electroretinogram (pERG), which measures action potentials produced by the retina when it is stimulated by light of adequate intensity and it is the composite of electrical activity from the photoreceptors, inner retina, and RGCs. In photopic conditions, the negative response (PhNR) wave represents the RGC spiking activity originating from light-adapted cones and allows the detection of RGC-specific alterations ( Gotoh et al, 2004 ; Kinoshita et al, 2016 ). Whilst pERG measurements were comparable between wild-type and Wfs1 mutant mice at 2 months of age ( WT : 68±5; Wfs1- KO: 72±6; p<0.05), a prolonged implicit time, which refers to the interval between the stimulation and the peak of the negative response, was detected in 4 months old Wfs1 -deficient animals ( WT : 76±5; Wfs1- KO: 82±6; p<0.05) ( Figure 1A ).…”
Section: Resultsmentioning
confidence: 99%
“…In details, it has been clarified that PhNR signal originates from inner retinal cells and specifically from RGCs [27][28][29]. Therefore, from the available literature, simplistically, it might be expected that because the amplitude of the PhNR maps on to the distribution of RGCs and because PhNR amplitude increases with increased stimulus area, PhNR amplitude would increase linearly with increasing RGCs count.…”
Section: Mfphnr Findings By Applying Ring Analysismentioning
confidence: 99%
“…More specifically, the neuronal origin of the ff-PhNR is from the IRL, containing RGCs and their fibers, with a potential contribution from non-neuronal elements, such as the Muller glial cells [36]. That the PhNR is originated by the above-mentioned retinal elements is supported by experimental studies performed in animal models [28,29]. In addition, since the ff-PhNR measurement is not influenced by several conditions (i.e., unknown refractive error, ocular media opacities, not stable target fixation during the recording session) [32,33,37,38], this method may present some advantages in the clinical practice with respect to PERG assessment that, instead, require the correction of refractive error, ocular media transparency, and stable target fixation for a reliable recordings.…”
Section: Introductionmentioning
confidence: 95%
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