scholarly journals Coloboma of the Optic Nerve Head in Benbal Tiger Kittens (Panthera tigris tigris)

1985 ◽  
Vol 26 (1) ◽  
pp. 136-139
Author(s):  
H. H. Dietz ◽  
E. Eriksen ◽  
O. A. Jensen
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Panthera Tigris ◽  
Panthera Tigris Tigris

scholarly journals Choroidal microvasculature dropout is spatially associated with optic nerve head microvasculature loss in open-angle glaucoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Kyung Song ◽  
Joong Won Shin ◽  
Jin Yeong Lee ◽  
Ji Wook Hong ◽  
Michael S. Kook
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Optical Coherence Tomography Angiography ◽  
Open Angle Glaucoma ◽  
Spatial Relationship ◽  
Vascular Supply ◽  
Open Angle ◽  
Regression Analyses ◽  
Angular Extent ◽  
Choroidal Vessels

AbstractThe presence of parapapillary choroidal microvasculature dropout (CMvD) may affect optic nerve head (ONH) perfusion in glaucoma patients, since parapapillary choroidal vessels provide vascular supply to the neighboring ONH. However, it remains to be determined whether the presence of parapapillary CMvD is associated with diminished perfusion in the nearby ONH. The present study investigated the spatial relationship between CMvD and ONH vessel density (ONH-VD) loss in open-angle glaucoma (OAG) eyes using optical coherence tomography angiography (OCT-A). This study included 48 OAG eyes with a single localized CMvD confined to the inferotemporal parapapillary sector and 48 OAG eyes without CMvD, matched for demographic and ocular characteristics. Global and regional ONH-VD values were compared between eyes with and without CMvD. The relationships between ONH-VD outcomes and clinical variables were assessed. ONH-VDs at the inferotemporal ONH sectors corresponding to the CMvD location were significantly lower in eyes with compared to those without CMvD. Multivariable linear regression analyses indicated that a lower inferotemporal ONH-VD was independently associated with CMvD presence and a greater CMvD angular extent (both P < 0.05). The localized presence of parapapillary CMvD in OAG eyes is significantly associated with ONH-VD loss in the neighboring ONH location, with a spatial correlation.

scholarly journals Blue light blind-spot stimulation upregulates b-wave and pattern ERG activity in myopes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ana Amorim-de-Sousa ◽  
Tim Schilling ◽  
Paulo Fernandes ◽  
Yeshwanth Seshadri ◽  
Hamed Bahmani ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Electrical Activity ◽  
Blue Light ◽  
Optic Nerve Head ◽  
Plexiform Layer ◽  
Pattern Electroretinogram ◽  
Blind Spot ◽  
Inner Plexiform Layer ◽  
Pattern Erg ◽  
Myopia Progression

AbstractUpregulation of retinal dopaminergic activity may be a target treatment for myopia progression. This study aimed to explore the viability of inducing changes in retinal electrical activity with short-wavelength light targeting melanopsin-expressing retinal ganglion cells (ipRGCs) passing through the optic nerve head. Fifteen healthy non-myopic or myopic young adults were recruited and underwent stimulation with blue light using a virtual reality headset device. Amplitudes and implicit times from photopic 3.0 b-wave and pattern electroretinogram (PERG) were measured at baseline and 10 and 20 min after stimulation. Relative changes were compared between non-myopes and myopes. The ERG b-wave amplitude was significantly larger 20 min after blind-spot stimulation compared to baseline (p < 0.001) and 10 min (p < 0.001) post-stimulation. PERG amplitude P50-N95 also showed a significant main effect for ‘Time after stimulation’ (p < 0.050). Implicit times showed no differences following blind-spot stimulation. PERG and b-wave changes after blind-spot stimulation were stronger in myopes than non-myopes. It is possible to induce significant changes in retinal electrical activity by stimulating ipRGCs axons at the optic nerve head with blue light. The results suggest that the changes in retinal electrical activity are located at the inner plexiform layer and are likely to involve the dopaminergic system.

scholarly journals Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

2021 ◽  
Author(s):  
Babak Alipanahi ◽  
Farhad Hormozdiari ◽  
Babak Behsaz ◽  
Justin Cosentino ◽  
Zachary R. McCaw ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optic Nerve ◽  
Optic Nerve Head ◽  
Large Scale ◽  
Head Morphology

Blind Source Separation of Retinal Pulsatile Patterns in Optic Nerve Head Video-Recordings

2020 ◽  
pp. 1-1
Author(s):  
Ivana Labounkova ◽  
Rene Labounek ◽  
Igor Nestrasil ◽  
Jan Odstrcilik ◽  
Ralf P. Tornow ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Blind Source Separation ◽  
Optic Nerve Head ◽  
Source Separation ◽  
Video Recordings

scholarly journals Astrocyte responses to experimental glaucoma in mouse optic nerve head

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0238104 ◽  
Author(s):  
Sarah Quillen ◽  
Julie Schaub ◽  
Harry Quigley ◽  
Mary Pease ◽  
Arina Korneva ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Experimental Glaucoma

scholarly journals Two-Stage Mask-RCNN Approach for Detecting and Segmenting the Optic Nerve Head, Optic Disc, and Optic Cup in Fundus Images

2020 ◽  
Vol 10 (11) ◽  
pp. 3833 ◽  
Author(s):  
Haidar Almubarak ◽  
Yakoub Bazi ◽  
Naif Alajlan
Keyword(s):  
Optic Nerve ◽  
Optic Disc ◽  
Optic Nerve Head ◽  
Fine Tuning ◽  
Fundus Images ◽  
Two Stage ◽  
Second Stage ◽  
Retinal Fundus Images ◽  
Tuning Strategy ◽  
Retinal Fundus

In this paper, we propose a method for localizing the optic nerve head and segmenting the optic disc/cup in retinal fundus images. The approach is based on a simple two-stage Mask-RCNN compared to sophisticated methods that represent the state-of-the-art in the literature. In the first stage, we detect and crop around the optic nerve head then feed the cropped image as input for the second stage. The second stage network is trained using a weighted loss to produce the final segmentation. To further improve the detection in the first stage, we propose a new fine-tuning strategy by combining the cropping output of the first stage with the original training image to train a new detection network using different scales for the region proposal network anchors. We evaluate the method on Retinal Fundus Images for Glaucoma Analysis (REFUGE), Magrabi, and MESSIDOR datasets. We used the REFUGE training subset to train the models in the proposed method. Our method achieved 0.0430 mean absolute error in the vertical cup-to-disc ratio (MAE vCDR) on the REFUGE test set compared to 0.0414 obtained using complex and multiple ensemble networks methods. The models trained with the proposed method transfer well to datasets outside REFUGE, achieving a MAE vCDR of 0.0785 and 0.077 on MESSIDOR and Magrabi datasets, respectively, without being retrained. In terms of detection accuracy, the proposed new fine-tuning strategy improved the detection rate from 96.7% to 98.04% on MESSIDOR and from 93.6% to 100% on Magrabi datasets compared to the reported detection rates in the literature.

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