Dyslexia has been associated with a problem in visual-audio integration mechanisms. Here, we investigate for the first time the contribution of unisensory cues on multisensory audio and visual integration in 32 dyslexic children by modelling results using the Bayesian approach. Non-linguistic stimuli were used. Children performed a temporal task: they had to report whether the middle of three stimuli was closer in time to the first one or to the last one presented. Children with dyslexia, compared with typical children, exhibited poorer unimodal thresholds, requiring greater temporal distance between items for correct judgements, while multisensory thresholds were well predicted by the Bayesian model. This result suggests that the multisensory deficit in dyslexia is due to impaired audio and visual inputs rather than impaired multisensory processing per se. We also observed that poorer temporal skills correlated with lower reading skills in dyslexic children, suggesting that this temporal capability can be linked to reading abilities.
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http://dx.doi.org/10.1111/desc.12977 | DOI Listing |
JMIR Aging
January 2025
Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos SP, Brazil.
Background: The prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition.
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February 2025
Department of Ophthalmology, Liyang Hospital of Chinese Medicine, Liyang, China.
Purpose: To describe a custom bent 27-gauge needle-guided suture snare technique for scleral fixation of posterior chamber intraocular lenses (PCIOL).
Methods: An 8-0 polypropylene suture was threaded into the lumen of a custom bent 27-gauge needle, and the needle tip was advanced into the eye from the intraocular lens (IOL) fixation point. The suture was threaded through the posterior limbal incision inside the IOL haptic loop and pulled out.
Front Digit Health
January 2025
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy.
Introduction: Limb massive hemorrhage is the first cause of potentially preventable death in trauma. Its prompt and proper management is crucial to increase the survival rate. To handle a massive hemorrhage, it is important to train people without medical background, who might be the first responders in an emergency.
View Article and Find Full Text PDFRMD Open
January 2025
Department of Medicine, Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain
Objectives: To develop an EULAR training model for education in synovial tissue biopsy (STB) under ultrasound guidance (UG) following a stepwise approach: (1) development of educational material on UGSTB in large and small joints; (2) assessment of the validity, reliability and feasibility of the UGSTB educational procedure on cadaveric specimens; (3) validation of this procedure in live patients.
Methods: Using a nominal group (NG) and a DELPHI consensus methodology, educational audio-visual (AV) material and minimal requirements for education in UGSTB were developed by an expert panel. Then the experts performed an UGSTB on cadaveric joints using the developed approach.
Neural Netw
January 2025
Harbin University of Science and Technology, Harbin, 150006, China.
Temporal Multi-Modal Knowledge Graphs (TMMKGs) can be regarded as a synthesis of Temporal Knowledge Graphs (TKGs) and Multi-Modal Knowledge Graphs (MMKGs), combining the characteristics of both. TMMKGs can effectively model dynamic real-world phenomena, particularly in scenarios involving multiple heterogeneous information sources and time series characteristics, such as e-commerce websites, scene recording data, and intelligent transportation systems. We propose a Temporal Multi-Modal Knowledge Graph Generation (TMMKGG) method that can automatically construct TMMKGs, aiming to reduce construction costs.
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