Fluent readers process written text rapidly and accurately, and comprehend what they read. Historically, reading fluency has been modeled as the product of discrete skills such as single word decoding. More recent conceptualizations emphasize that fluent reading is the product of competency in, and the coordination of, multiple cognitive sub-skills (a multi-componential view). In this study, we examined how the pattern of activation in core reading regions changes as the ability to read fluently is manipulated through reading speed. We evaluated 13 right-handed adults with a novel fMRI task assessing fluent sentence reading and lower-order letter reading at each participant's normal fluent reading speed, as well as constrained (slowed) and accelerated reading speeds. Comparing fluent reading conditions with rest revealed regions including bilateral occipito-fusiform, left middle temporal, and inferior frontal gyral clusters across reading speeds. The selectivity of these regions' responses to fluent sentence reading was shown by comparison with the letter reading task. Region of interest analyses showed that at constrained and accelerated speeds these regions responded significantly more to fluent sentence reading. Critically, as reading speed increased, activation increased in a single reading-related region: occipital/fusiform cortex (left > right). These results demonstrate that while brain regions engaged in reading respond selectively during fluent reading, these regions respond differently as the ability to read fluently is manipulated. Implications for our understanding of reading fluency, reading development, and reading disorders are discussed.
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http://dx.doi.org/10.1002/hbm.21384 | DOI Listing |
PLoS One
January 2025
Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans.
View Article and Find Full Text PDFPLoS One
January 2025
School of Nursing, Anhui Medical University, Hefei, Anhui, China.
Objective: To evaluate and compare the readability of information on different treatment options for breast cancer from WeChat public accounts, propose targeted improvement strategies based on the evaluation of the results of the various treatment options, and provide a reference for producers of WeChat public accounts from which to write highly readable information regarding breast cancer treatment options.
Methods: With "breast cancer" as keywords in April 2021, searches were implemented on Sogou WeChat website (https://weixin.sogou.
Eur J Neurosci
January 2025
Department of Psychology, National Chengchi University, Taipei, Taiwan.
Word problems are essential for math learning and education, bridging numerical knowledge with real-world applications. Despite their importance, the neural mechanisms underlying word problem solving, especially in children, remain poorly understood. Here, we examine children's cognitive and brain response profiles for arithmetic word problems (AWPs), which involve one-step mathematical operations, and compare them with nonarithmetic word problems (NWPs), structured as parallel narratives without numerical operations.
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January 2025
Department of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.
Background/aim: The use of AI-driven chatbots for accessing medical information is increasingly popular among educators and students. This study aims to assess two different ChatGPT models-ChatGPT 3.5 and ChatGPT 4.
View Article and Find Full Text PDFEur J Nutr
January 2025
Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, Reading, RG6 6DZ, UK.
Purpose: With ageing, older adults (≥ 65 years) may experience decreased appetite, contributing to declines in body weight and muscle mass, potentially affecting physical capabilities. Physical activity (PA) has been suggested as a potential strategy to enhance appetite in older adults, but evidence supporting this is insufficient. This study aimed to investigate the relationship between PA levels, total energy expenditure (TEE), body composition, energy intake (EI) and appetite in older adults.
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