Background: Color vision has been consistently shown to be unaffected in animals that are raised in dark or in color-deprived environments. However, there are only a few studies that directly addressed the effect of congenital visual deprivation in color perception in humans.
Objective: The goal of the current study was to assess the effect of congenital visual deprivation on color vision using a panel based color arrangement test.
Methods: We investigated the recovery of color vision using the Farnsworth D15 test in a group of individuals who had experienced visual deprivation since birth due to bilateral dense congenital cataracts before undergoing cataract-reversal surgery (Congenital cataract, CC, n = 12). In addition, we tested two groups of control participants: (1) individuals who had had non-dense congenital cataract or developed cataract later in their childhood (Developmental cataract, DC, n = 10), and (2) sighted controls with normal or corrected to normal vision (n = 14). Based on the methods proposed by Vingrys and King-Smith (1988), we derived the following metrics of color vision performance: (1) total error score, (2) confusion index, (3) confusion angle, and (4) selectivity index.
Results: All of the measured indices of color vision performance were unaltered by a period of congenital visual deprivation.
Conclusions: Our results support the view that, development of visual functions such as color discrimination and color arrangement does not depend on typical visual experience during a sensitive phase in early childhood.
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http://dx.doi.org/10.3233/RNN-190928 | DOI Listing |
Acta Psychol (Amst)
January 2025
Faculty of Psychology, University of Vienna, Vienna, Austria; Vienna Cognitive Science Hub, Vienna, Austria.
Colour plays an important role in the sighted world, not only by guiding and warning, but also by helping to make decisions, form opinions, and influence emotional landscape. While not everyone has direct access to this information, even people without colour vision (i.e.
View Article and Find Full Text PDFBrain Cogn
January 2025
School of Information Science and Technology, Yunnan Normal University, Kunming, China; Yuxi Key Laboratory of Mental Health Examination, Yuxi 653100, Yunnan, China; Engineering Research Center of Computer Vision and Intelligent Control Technology, Department of Education of Yunnan Province, Kunming, China. Electronic address:
Differences in the brain sensitivity to color responses may cause significant differences in the latency and amplitude of the electroencephalographic (EEG) component. This paper investigated the electroencephalography features of binocular color fusion and binocular color rivalry when watching stereoscopic three-dimensional (3D) displays. EEG experiments were conducted on a conventional 3D display platform.
View Article and Find Full Text PDFTaiwan J Ophthalmol
November 2024
Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand.
Recent advances of artificial intelligence (AI) in retinal imaging found its application in two major categories: discriminative and generative AI. For discriminative tasks, conventional convolutional neural networks (CNNs) are still major AI techniques. Vision transformers (ViT), inspired by the transformer architecture in natural language processing, has emerged as useful techniques for discriminating retinal images.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
Liverpool Ocular Oncology Research Group, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences (ILCaMS), University of Liverpool, Liverpool, United Kingdom.
Purpose: Testing the validity of a self-supervised deep learning (DL) model, RETFound, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation.
Design: Case-control study.
Subjects: Ultrawidefield fundoscopy images, both color and autofluorescence, were used for this study, obtained from 4255 patients seen at the Liverpool Ocular Oncology Center between 1995 and 2020.
Brain
January 2025
Faculty of Social and Behavioural Sciences, University of Amsterdam, 1001 NK, Amsterdam, The Netherlands.
Mid-level visual processing represents a crucial stage between basic sensory input and higher-level object recognition. The conventional model posits that fundamental visual qualities like color and motion are processed in specialized, retinotopic brain regions (e.g.
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