ArticleBrain and behavior2025
White Matter Networks of Phonological Awareness in Chinese Readers.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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- White Matter Networks of Phonological Awareness in Chinese Readers.Brain and behavior · 2025Article
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5 authors.
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Abstract
introductionIn our previous study, we have identified white matter subnetworks linked to phonological processing deficits (e.g., subnetworks centered at the left middle temporal gyrus) in dyslexic children from alphabetic languages using a data-driven hub-based white matter network analysis approach. Yet, white matter subnetworks associated with phonological processing skills in individuals from nonalphabetic languages (e.g., Chinese) have never been studied. This study aims to identify hub-related white matter networks associated with phonological processing skills in Chinese readers.
methodsSixty-five Chinese-speaking adults were classified into good readers (n = 37) and poor readers (n = 28) based on the severity of self-reported reading difficulties and dyslexia symptoms, as assessed by the Chinese adaptation of the Adult Reading History Questionnaire (C-ARHQ). We explored hub-related networks corresponding to phonological processing skills among the participants. Mediation analysis was further conducted to examine the relationship between white matter networks, phonological awareness, and character reading ability of these adults.
resultsWe observed structural connectivity of two hub-related white matter networks accounted for individual differences of phonological awareness in Chinese readers: white matter networks surrounding the left middle temporal gyrus and the left fusiform gyrus. Follow-up mediation analysis revealed that the two white matter networks further contributed to the character reading ability of Chinese readers through phonological awareness.
conclusionsThe current study provides the first-hand empirical evidence for the white matter network of phonological processing skills in Chinese readers. The findings offer an important cross-linguistic insight into the white matter network corresponding to phonological processing in nonalphabetic languages.
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