Literature DB >> 24643918

A perceptual learning deficit in Chinese developmental dyslexia as revealed by visual texture discrimination training.

Zhengke Wang1, Alice Cheng-Lai, Yan Song, Laurie Cutting, Yuzheng Jiang, Ou Lin, Xiangzhi Meng, Xiaolin Zhou.   

Abstract

Learning to read involves discriminating between different written forms and establishing connections with phonology and semantics. This process may be partially built upon visual perceptual learning, during which the ability to process the attributes of visual stimuli progressively improves with practice. The present study investigated to what extent Chinese children with developmental dyslexia have deficits in perceptual learning by using a texture discrimination task, in which participants were asked to discriminate the orientation of target bars. Experiment l demonstrated that, when all of the participants started with the same initial stimulus-to-mask onset asynchrony (SOA) at 300 ms, the threshold SOA, adjusted according to response accuracy for reaching 80% accuracy, did not show a decrement over 5 days of training for children with dyslexia, whereas this threshold SOA steadily decreased over the training for the control group. Experiment 2 used an adaptive procedure to determine the threshold SOA for each participant during training. Results showed that both the group of dyslexia and the control group attained perceptual learning over the sessions in 5 days, although the threshold SOAs were significantly higher for the group of dyslexia than for the control group; moreover, over individual participants, the threshold SOA negatively correlated with their performance in Chinese character recognition. These findings suggest that deficits in visual perceptual processing and learning might, in part, underpin difficulty in reading Chinese.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Chinese; developmental dyslexia; perceptual learning; texture discrimination

Mesh:

Year:  2014        PMID: 24643918     DOI: 10.1002/dys.1475

Source DB:  PubMed          Journal:  Dyslexia        ISSN: 1076-9242


  11 in total

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2.  Neurocognitive Development and Predictors of L1 and L2 Literacy Skills in Dyslexia: A Longitudinal Study of Children 5-11 Years Old.

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3.  Underlying Skills of Oral and Silent Reading Fluency in Chinese: Perspective of Visual Rapid Processing.

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4.  Different relationship of magnocellular-dorsal function and reading-related skills between Chinese developing and skilled readers.

Authors:  Jing Zhao; Hong-Yan Bi; Max Coltheart
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

5.  Memory Deficits in Children with Developmental Dyslexia: A Reading-Level and Chronological-Age Matched Design.

Authors:  Giulia Lazzaro; Cristiana Varuzza; Floriana Costanzo; Elisa Fucà; Silvia Di Vara; Maria Elena De Matteis; Stefano Vicari; Deny Menghini
Journal:  Brain Sci       Date:  2021-01-01

6.  Reading performance is enhanced by visual texture discrimination training in Chinese-speaking children with developmental dyslexia.

Authors:  Xiangzhi Meng; Ou Lin; Fang Wang; Yuzheng Jiang; Yan Song
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

7.  Increased deficit of visual attention span with development in Chinese children with developmental dyslexia.

Authors:  Jing Zhao; Menglian Liu; Hanlong Liu; Chen Huang
Journal:  Sci Rep       Date:  2018-02-16       Impact factor: 4.379

8.  Advantage of detecting visual events in the right hemifield is affected by reading skill.

Authors:  Samy Rima; Grace Kerbyson; Elizabeth Jones; Michael C Schmid
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9.  Visual Processing Matters in Chinese Reading Acquisition and Early Mathematics.

Authors:  Xiujie Yang; Xiangzhi Meng
Journal:  Front Psychol       Date:  2020-04-01

10.  Improving sentence reading performance in Chinese children with developmental dyslexia by training based on visual attention span.

Authors:  Jing Zhao; Hanlong Liu; Jiaxiao Li; Haixia Sun; Zhanhong Liu; Jing Gao; Yuan Liu; Chen Huang
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

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