Neural signatures of phonological deficits in Chinese developmental dyslexia

Cao, Fan; Yan, Xiao‐Xin; Wang, Zhao; Liu, Yanni; Wang, Jin; Spray, Gregory J.; Deng, Yuan

doi:10.1016/j.neuroimage.2016.11.051

Cited by 70 publications

(59 citation statements)

References 118 publications

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“…Higher underactivation in deep Overactivation in Chinese (Siok et al, 2004) L precuneus Higher underactivation in deep R superior temporal gyrus Higher underactivation in deep Reduced gray matter volume in alphabetic (Richlan et al, 2013) L anterior insula Higher overactivation in deep L fusiform gyrus Higher underactivation in shallow Underactivation in Chinese (Siok et al, 2004;Hu et al, 2010) L temporoparietal cortex Higher underactivation in shallow Underactivation in Chinese (Hu et al, 2010) Reduced gray matter volume in alphabetic (Richlan et al, 2013;Eckert et al, 2016) L inferior frontal gyrus, orbital Higher underactivation in shallow Reduced gray matter volume in alphabetic (Eckert et al, 2016) L frontal operculum Higher underactivation in shallow Underactivation in Chinese (Siok et al, 2004) L precentral gyrus Higher overactivation in shallow L middle frontal gyrus Underactivation in Chinese (Siok et al, 2004;Hu et al, 2010) Reduced gray matter volume in Chinese (Siok et al, 2008) L dorsal inferior frontal gyrus Underactivation in Chinese (Cao et al, 2017) R cerebellum Reduced gray matter volume in alphabetic (Eckert et al, 2016) the integrity of the left MFG as a main hub for the coordination and integration of information in verbal and spatial working memory and that developmental dyslexia results from a failure of this brain region (Perfetti et al, 2006). The left MFG was also identified in a direct cross-linguistic comparison between dyslexic and typical readers of Chinese and English using a semantic word matching task (Hu et al, 2010).…”

Section: Structural Abnormalitiesmentioning

confidence: 99%

“…Therefore, innovative approaches using intervention studies and longitudinal research will also be discussed. With respect to functional and structural connectivity in developmental dyslexia -which is beyond the scope of the present review -the reader is referred to other recent studies and meta-analyses (e.g., Ben-Shachar et al, 2007;Cao et al, 2008Cao et al, , 2017van der Mark et al, 2011;Vandermosten et al, 2012;Koyama et al, 2013;Dehaene et al, 2015;Olulade et al, 2015;Schurz et al, 2015;Alvarez and Fiez, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The Functional Neuroanatomy of Developmental Dyslexia Across Languages and Writing Systems

Richlan

2020

Front. Psychol.

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The present article reviews the literature on the functional neuroanatomy of developmental dyslexia across languages and writing systems. This includes comparisons of alphabetic languages differing in orthographic depth as well as comparisons across alphabetic, syllabic, and logographic writing systems. It provides a synthesis of the evidence for both universal and language-specific effects on dyslexic functional brain activation abnormalities during reading and reading-related tasks. Specifically, universal reading-related underactivation of dyslexic readers relative to typical readers is identified in core regions of the left hemisphere reading network including the occipito-temporal, temporo-parietal, and inferior frontal cortex. Orthography-specific dyslexic brain abnormalities are mainly related to the degree and spatial extent of under-and overactivation clusters. In addition, dyslexic structural gray matter abnormalities across languages and writing systems are analyzed. The neuroimaging findings are linked to the universal and orthography-dependent behavioral manifestations of developmental dyslexia. Finally, the present article provides insights into potential compensatory mechanisms that may support remediation across languages and writing systems.

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Section: Structural Abnormalitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Functional Neuroanatomy of Developmental Dyslexia Across Languages and Writing Systems

Richlan

2020

Front. Psychol.

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“…The fMRI data were the result of brain activation in each of the three groups of subjects. Other results from this study were published in Neuroimage [1].…”

Section: Datamentioning

confidence: 57%

“…You will find fMRI data information including experimental design, MRI protocol, and brain activation results from each of the three groups of subjects. Other results from the same study were published in Neuroimage (Cao, in press [1]). …”

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confidence: 64%

Brain MRI data in Chinese dyslexic children performing an auditory rhyming judgment task

Cao

2017

Data in Brief

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This article includes the description of data information from an auditory rhyming judgment task in Chinese children with developmental dyslexia, age-matched control children and reading-matched control children. You will find fMRI data information including experimental design, MRI protocol, and brain activation results from each of the three groups of subjects. Other results from the same study were published in Neuroimage (Cao, in press [1]).

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“…This design assumes that (a) etiology-related deficits will emerge between RD and both reading-matched and age-matched controls; and (b) ability-related deficits will emerge between RD and age-matched controls, but not between RD and reading-matched controls. This design has been widely used in behavioral research (Swan & Goswami, 1997) and has seen increasing use in neuroimaging studies (e.g., Cao et al, 2016;Hoeft et al, 2006Hoeft et al, , 2007Krafnick, Flowers, Luetje, Napoliello, & Eden, 2014;Olulade, Napoliello, & Eden, 2013;Xia et al, 2016).…”

Section: Reading-matched (Developmental) Designmentioning

confidence: 99%

Neurobiological bases of reading disorder Part I: Etiological investigations

Xia

Hancock²,

Hoeft

2017

Language and Linguist. Compass

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While many studies have focused on identifying the neural and behavioral characteristics of decoding-based reading disorder (RD, aka developmental dyslexia), the etiology of RD remains largely unknown and understudied. Because the brain plays an intermediate role between genetic factors and behavioral outcomes, it is promising to address causality from a neural perspective. In the current, Part I of the two-part review, we discuss neuroimaging approaches to addressing the causality issue and review the results of studies that have employed these approaches. We assume that if a neural signature were associated with RD etiology, it would (a) manifest across comparisons in different languages, (b) be experience independent and appear in comparisons between RD and reading-matched controls, (c) be present both pre- and post-intervention, (d) be found in at-risk, pre-reading children and (e) be associated with genetic risk. We discuss each of these five characteristics in turn and summarize the studies that have examined each of them. The available literature provides evidence that anomalies in left temporo-parietal cortex, and possibly occipito-temporal cortex, may be closely related to the etiology of RD. Improved understanding of the etiology of RD can help improve the accuracy of early detection and enable targeted intervention of cognitive processes that are amenable to change, leading to improved outcomes in at-risk or affected populations.

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Neural signatures of phonological deficits in Chinese developmental dyslexia

Cited by 70 publications

References 118 publications

The Functional Neuroanatomy of Developmental Dyslexia Across Languages and Writing Systems

The Functional Neuroanatomy of Developmental Dyslexia Across Languages and Writing Systems

Brain MRI data in Chinese dyslexic children performing an auditory rhyming judgment task

Neurobiological bases of reading disorder Part I: Etiological investigations

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