Purpose: To link psychophysical thresholds for blind spot awareness and filling-in with early neural components that underpin these perceptions.
Methods: Blind spot dimensions were quantified, after which an intrinsic stimulus (i.e., a rectangular bar of varying length centered within the blind spot) was used to determine blind spot awareness and filling-in for five subjects. Histologic examination of six human retinas at 20-μm intervals from the temporal and nasal neural rims of the optic nerve head out to 1040 μm allowed the quantification of outer nuclear layer thickness, a direct correlate of photoreceptor density.
Results: Blind spot awareness was reported for bar extensions beyond 0.4° to 0.8° from the edge of the blind spot. Partial and total blind spot filling-in were reported between 1.1° and 1.3° and beyond 1.5°, respectively. Histologic measures of ONL thickness were correlated with previously published data of photoreceptor spatial density to determine the percentage of photoreceptor density required to trigger a 75% probability response. Blind spot awareness was achieved by stimulating 43% to 70% of the maximum photoreceptor density. Partial and total filling-in of the blind spot required between 78% and 83% and more than 85% photoreceptor spatial densities, respectively.
Conclusions: A novel intrinsic stimulus has been used to concurrently investigate blind spot awareness and blind spot filling-in. Retinal neural correlates of each visual experience have been quantified. Future computational models will have to integrate bottom-up constraints with long-range cortical receptive field activity and higher order cognitive factors.
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http://dx.doi.org/10.1167/iovs.10-5910 | DOI Listing |
AIDS
March 2025
Departments of Emergency Medicine and Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
BMC Ophthalmol
January 2025
Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Qazvin Square, Tehran, Iran.
Background: To compare structural and vascular parameters between advanced pseudoexfoliation glaucoma (PXG) and primary open-angle glaucoma (POAG).
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Medicina (Kaunas)
December 2024
Clinic for Eye Disease, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
. Leber hereditary optic neuropathy (LHON) is a condition characterized by bilateral acute or subacute vision loss in seemingly healthy individuals. Depending on the disease stage and initial presentation, it is often diagnosed as optic neuritis.
View Article and Find Full Text PDFMicromachines (Basel)
January 2025
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
This paper presents, for the first time, a rotary actuator functionalized by an inclined disc rotor that serves as a distal optical scanner for endoscopic probes, enabling side-viewing endoscopy in luminal organs using different imaging/analytic modalities such as optical coherence tomography and Raman spectroscopy. This scanner uses a magnetic rotor designed to have a mirror surface on its backside, being electromagnetically driven to roll around the cone-shaped hollow base to create a motion just like a precessing coin. An optical probing beam directed from the probe's optic fiber is passed through the hollow cone to be incident and bent on the back mirror of the rotating inclined rotor, circulating the probing beam around the scanner for full 360° sideway imaging.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Ophthalmology, School of Medicine, University of California, Irvine, CA 92697, USA.
Retinal hemorrhage (RH) is a significant clinical finding with various etiologies, necessitating accurate classification for effective management. This study aims to externally validate deep learning (DL) models, specifically FastVit_SA12 and ResNet18, for distinguishing between traumatic and medical causes of RH using diverse fundus photography datasets. A comprehensive dataset was compiled, including private collections from South Korea and Virginia, alongside publicly available datasets such as RFMiD, BRSET, and DeepEyeNet.
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