Literature DB >> 29904229

Neural Correlates of Oral Word Reading, Silent Reading Comprehension, and Cognitive Subcomponents.

Zhichao Xia1,2,3, Linjun Zhang4, Fumiko Hoeft3,5,6,7,8, Bin Gu1,2, Gaolang Gong1,2, Hua Shu1,2.   

Abstract

The ability to read is essential for cognitive development. To deepen our understanding of reading acquisition, we explored the neuroanatomical correlates (cortical thickness (CT)) of word reading fluency and sentence comprehension efficiency in Chinese with a group of typically developing children (N = 21; 12 females and 9 males; age range 10.7-12.3 years). Then, we investigated the relationship between the CT of reading-defined regions and the cognitive subcomponents of reading to determine whether our study lends support to the multi-component model. The results demonstrated that children's performance on oral word reading was positively correlated with CT in the left superior temporal gyrus (LSTG), inferior temporal gyrus (LITG), supramarginal gyrus (LSMG) and right superior temporal gyrus (RSTG). Moreover, CT in the LSTG, LSMG and LITG uniquely predicted children's phonetic representation, phonological awareness, and orthography-phonology mapping skills, respectively. By contrast, children's performance on sentence reading comprehension was positively correlated with CT in the left parahippocampus (LPHP) and right calcarine fissure (RV1). As for the subcomponents of reading, CT in the LPHP was exclusively correlated with morphological awareness, whereas CT in the RV1 was correlated with orthography-semantic mapping. Taken together, these findings indicate that the reading network of typically developing children consists of multiple subdivisions, thus providing neuroanatomical evidence in support of the multi-componential view of reading.

Entities:  

Keywords:  individual differences; multi-component model; neuroanatomy; reading comprehension; reading fluency; word reading

Year:  2018        PMID: 29904229      PMCID: PMC5995574          DOI: 10.1177/0165025417727872

Source DB:  PubMed          Journal:  Int J Behav Dev        ISSN: 0165-0254


  108 in total

1.  Dynamic sensory sensitivity and children's word decoding skills.

Authors:  J B Talcott; C Witton; M F McLean; P C Hansen; A Rees; G G Green; J F Stein
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-14       Impact factor: 11.205

2.  Developmental trajectories of reading development and impairment from ages 3 to 8 years in Chinese children.

Authors:  Lin Lei; Jinger Pan; Hongyun Liu; Catherine McBride-Chang; Hong Li; Yuping Zhang; Lang Chen; Twila Tardif; Weilan Liang; Zhixiang Zhang; Hua Shu
Journal:  J Child Psychol Psychiatry       Date:  2010-09-20       Impact factor: 8.982

3.  Developmental differences of neurocognitive networks for phonological and semantic processing in Chinese word reading.

Authors:  Fan Cao; Danling Peng; Li Liu; Zhen Jin; Ning Fan; Yuan Deng; James R Booth
Journal:  Hum Brain Mapp       Date:  2009-03       Impact factor: 5.038

4.  Orthographic facilitation in Chinese spoken word recognition: an ERP study.

Authors:  Lijuan Zou; Amy S Desroches; Youyi Liu; Zhichao Xia; Hua Shu
Journal:  Brain Lang       Date:  2012-10-23       Impact factor: 2.381

5.  The contribution of the left mid-fusiform cortical thickness to Chinese and English reading in a large Chinese sample.

Authors:  Mingxia Zhang; Jin Li; Chuansheng Chen; Leilei Mei; Gui Xue; Zhonglin Lu; Chunhui Chen; Qinghua He; Miao Wei; Qi Dong
Journal:  Neuroimage       Date:  2012-09-25       Impact factor: 6.556

6.  Decoding the neuroanatomical basis of reading ability: a multivoxel morphometric study.

Authors:  Qinghua He; Gui Xue; Chunhui Chen; Chuansheng Chen; Zhong-Lin Lu; Qi Dong
Journal:  J Neurosci       Date:  2013-07-31       Impact factor: 6.167

7.  Predicting conceptual processing capacity from spontaneous neuronal activity of the left middle temporal gyrus.

Authors:  Tao Wei; Xia Liang; Yong He; Yufeng Zang; Zaizhu Han; Alfonso Caramazza; Yanchao Bi
Journal:  J Neurosci       Date:  2012-01-11       Impact factor: 6.167

8.  Maternal history of reading difficulty is associated with reduced language-related gray matter in beginning readers.

Authors:  Jessica M Black; Hiroko Tanaka; Leanne Stanley; Masanori Nagamine; Nahal Zakerani; Alexandra Thurston; Shelli Kesler; Charles Hulme; Heikki Lyytinen; Gary H Glover; Christine Serrone; Mira M Raman; Allan L Reiss; Fumiko Hoeft
Journal:  Neuroimage       Date:  2011-10-17       Impact factor: 6.556

9.  The interactive account of ventral occipitotemporal contributions to reading.

Authors:  Cathy J Price; Joseph T Devlin
Journal:  Trends Cogn Sci       Date:  2011-05-05       Impact factor: 20.229

10.  Early and sustained supramarginal gyrus contributions to phonological processing.

Authors:  Magdalena W Sliwinska; Manali Khadilkar; Jonathon Campbell-Ratcliffe; Frances Quevenco; Joseph T Devlin
Journal:  Front Psychol       Date:  2012-05-28
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  7 in total

1.  Neuroimaging genetic associations between SEMA6D, brain structure, and reading skills.

Authors:  Tina Thomas; Meaghan V Perdue; Shiva Khalaf; Nicole Landi; Fumiko Hoeft; Kenneth Pugh; Elena L Grigorenko
Journal:  J Clin Exp Neuropsychol       Date:  2021-05-07       Impact factor: 2.475

2.  Differences and Similarities in the Contributions of Phonological Awareness, Orthographic Knowledge and Semantic Competence to Reading Fluency in Chinese School-Age Children With and Without Hearing Loss.

Authors:  Linjun Zhang; Tian Hong; Yu Li; Jiuju Wang; Yang Zhang; Hua Shu
Journal:  Front Psychol       Date:  2021-04-12

3.  Gray Matter Structure Is Associated with Reading Skill in Typically Developing Young Readers.

Authors:  Meaghan V Perdue; Joshua Mednick; Kenneth R Pugh; Nicole Landi
Journal:  Cereb Cortex       Date:  2020-09-03       Impact factor: 5.357

4.  Atypical Relationships Between Neurofunctional Features of Print-Sound Integration and Reading Abilities in Chinese Children With Dyslexia.

Authors:  Zhichao Xia; Ting Yang; Xin Cui; Fumiko Hoeft; Hong Liu; Xianglin Zhang; Xiangping Liu; Hua Shu
Journal:  Front Psychol       Date:  2022-01-25

5.  Structural gray matter features and behavioral preliterate skills predict future literacy - A machine learning approach.

Authors:  Moana Beyer; Johanna Liebig; Teresa Sylvester; Mario Braun; Hauke R Heekeren; Eva Froehlich; Arthur M Jacobs; Johannes C Ziegler
Journal:  Front Neurosci       Date:  2022-09-29       Impact factor: 5.152

6.  From BDNF to reading: Neural activation and phonological processing as multiple mediators.

Authors:  Sara Mascheretti; Meaghan V Perdue; Bei Feng; Chiara Andreola; Ginette Dionne; Kaja K Jasińska; Kenneth R Pugh; Elena L Grigorenko; Nicole Landi
Journal:  Behav Brain Res       Date:  2020-08-15       Impact factor: 3.352

7.  How Visual Word Decoding and Context-Driven Auditory Semantic Integration Contribute to Reading Comprehension: A Test of Additive vs. Multiplicative Models.

Authors:  Yu Li; Hongbing Xing; Linjun Zhang; Hua Shu; Yang Zhang
Journal:  Brain Sci       Date:  2021-06-23
  7 in total

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