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Learning to read assigns linguistic value to an abstract visual code. Whether regions of the reading network tune to visual properties common to most scripts or code for more abstracted units of language remains debated. Here, we investigate this question using visual Braille, a script developed for touch that does not share the typical explicit shape information of other alphabets, yet maps onto the same phonology and lexicon as other more regular scripts. First, we compared univariate responses in visual Braille readers and a naïve control group and found that individually localized visual word form area (VWFA) was selectively activated for visual Braille when compared with scrambled Braille only in expert Braille readers. Multivariate analyses showed that linguistic properties can be decoded from Latin script in both groups and from Braille script in expert readers in an extended network of brain regions including the early visual cortex (V1), the lateral occipital (LO) region, the VWFA, and the left posterior temporal (l-PosTemp) area. These results suggest that the tuning of an extended reading network to orthography relies more on the linguistic content of the script rather than their specific visual features (e.g., line junctions). Nevertheless, cross-scripts generalization was significantly lower than within-script decoding and failed to reveal common representations across Latin and Braille in experts in all regions except the l-PosTemp. These results suggest that V1, LO, and VWFA encode orthographic representations in a script-specific manner, whereas l-PosTemp encodes abstracted linguistic information.
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http://dx.doi.org/10.1162/jocn_a_02341 | DOI Listing |
Small Methods
September 2025
Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
A wireless epidermal electrotactile interface is demonstrated through integration of skin-conformal electrodes and flexible circuitry, addressing existing limitations in haptic technology caused by mechanical mismatch and system-level integration challenges. This electrotactile system achieves low stimulation thresholds (<20 V) through optimized electrode-skin modulus matching and improved electrochemical interfaces, enabling pain-free tactile sensation generation across finger pads. The millimeter-scale architecture incorporates multiplexed stimulation channels that spatially map to ISO-standard Braille configurations, demonstrating 91.
View Article and Find Full Text PDFSci Robot
August 2025
Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14850, USA.
High-resolution electronic tactile displays stand to transform haptics for remote machine operation, virtual reality, and digital information access for people who are blind or visually impaired. Yet, increasing the resolution of these displays requires increasing the number of individually addressable actuators while simultaneously reducing their total surface area, power consumption, and weight, challenges most evidently reflected in the dearth of affordable multiline braille displays. Blending principles from soft robotics, microfluidics, and nonlinear mechanics, we introduce a 10-dot-by-10-dot array of 2-millimeter-diameter, combustion-powered, eversible soft actuators that individually rise in 0.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
August 2025
School of Optometry, University of Montreal, Montreal, QC, Canada.
Purpose: Mainstream smartphone applications are increasingly replacing the use of traditional visual aids to facilitate independent travel for people with blindness or low vision. However, little is known about which navigation apps are being used, the factors underpinning these decisions and why apps are not used in certain contexts. The goal of this study was to explore the navigation-based apps used by individuals who are blind or who have low vision, the factors influencing these decisions, and perceptions about gaps to address future needs in navigation.
View Article and Find Full Text PDFMethodsX
December 2025
Department of Artificial Intelligence and Data Science, GITAM School of Technology, GITAM (Deemed to be) University, Bengaluru, Karnataka, India.
Handwritten Braille character recognition presents a significant challenge in the field of assistive technology, especially with the inclusion of various linguistic scripts such as Kannada. The data set is uniquely curated, combining ground-truth data from Kaggle and real-world samples collected from blind schools, segmented into vowels and consonants. The proposed system demonstrates exceptional performance in feature extraction, classification accuracy, and addressing spatial misalignments in Braille dots.
View Article and Find Full Text PDFSpec Care Dentist
August 2025
Department of Public Health Dentistry, Faculty of Dental Sciences, King George's Medical University, Lucknow, Uttar Pradesh, India.
Background: Visually impaired individuals face significant challenges in maintaining oral hygiene due to reliance on visual cues. Conventional oral health education (OHE) often fails to address their needs, leading to disparities in oral health outcomes. The aim of this study was to assess and compare the effectiveness of three customized oral health education strategies-Audio only (Group 1), Audio + Braille (Group 2), and Audio + Tactile Model (Group 3)-on oral health Knowledge, Attitude, Practice (KAP), and clinical oral hygiene status among institutionalized visually impaired individuals in Lucknow, India.
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