More bilateral, more anterior: Alterations of brain organization in the large-scale structural network in Chinese dyslexia

Qi, Ting; Gu, Bin; Ding, Guiguang; Gong, Gaolang; Lu, Chunming; Peng, Danling; Malins, Jeffrey G.; Liu, Li

doi:10.1016/j.neuroimage.2015.09.011

Cited by 37 publications

(32 citation statements)

References 83 publications

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“…Several studies have investigated structural (Liu et al, 2015;Qi et al, 2016) and resting-state functional brain networks (Finn et al, 2014) of atypical reading development (i.e., dyslexia) using a graph theory approach, however, no graph theory based studies have been conducted to investigate typical reading development. Nevertheless, a number of studies have investigated general cognitive development using the graph-theoretic approach and revealed interesting developmental differences in brain topological properties, the roles of specific brain regions, as well as inter-regional connectivity (Power, Barnes, Snyder, Schlaggar, & Petersen, 2012;Power et al, 2010).…”

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confidence: 99%

Differences between child and adult large‐scale functional brain networks for reading tasks

Liu

Gao

et al. 2017

Human Brain Mapping

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Reading is an important high-level cognitive function of the human brain, requiring interaction among multiple brain regions. Revealing differences between children's large-scale functional brain networks for reading tasks and those of adults helps us to understand how the functional network changes over reading development. Here we used functional magnetic resonance imaging data of 17 adults (19-28 years old) and 16 children (11-13 years old), and graph theoretical analyses to investigate age-related changes in large-scale functional networks during rhyming and meaning judgment tasks on pairs of visually presented Chinese characters. We found that: (1) adults had stronger inter-regional connectivity and nodal degree in occipital regions, while children had stronger inter-regional connectivity in temporal regions, suggesting that adults rely more on visual orthographic processing whereas children rely more on auditory phonological processing during reading. (2) Only adults showed between-task differences in inter-regional connectivity and nodal degree, whereas children showed no task differences, suggesting the topological organization of adults' reading network is more specialized. (3) Children showed greater inter-regional connectivity and nodal degree than adults in multiple subcortical regions; the hubs in children were more distributed in subcortical regions while the hubs in adults were more distributed in cortical regions. These findings suggest that reading development is manifested by a shift from reliance on subcortical to cortical regions. Taken together, our study suggests that Chinese reading development is supported by developmental changes in brain connectivity properties, and some of these changes may be domain-general while others may be specific to the reading domain.

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confidence: 99%

Differences between child and adult large‐scale functional brain networks for reading tasks

Liu

Gao

et al. 2017

Human Brain Mapping

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“…() reported abnormally high local efficiency in the gray matter network, and Qi et al . () revealed a more bilaterally, anteriorly connected surface area network in Chinese dyslexia. Finn et al .…”

Section: Introductionmentioning

confidence: 92%

“…In this approach, the brain is represented as a network, with regions (or voxels) and structural or functional connectivities represented as nodes and edges in the network, respectively (He & Evans, 2010;Reijneveld, Ponten, Berendse & Stam, 2007). Using GTA, a few studies have discovered altered topological organization of structural (Liu, Shi, Chen, Waye, Lim et al, 2015;Qi, Gu, Ding, Gong, Lu et al, 2016) or functional networks (Finn, Shen, Holahan, Scheinost, Lacadie et al, 2014) in dyslexics. For example, Liu et al (2015) reported abnormally high local efficiency in the gray matter network, and Qi et al (2016) revealed a more bilaterally, anteriorly connected surface area network in Chinese dyslexia.…”

Section: Introductionmentioning

confidence: 99%

“…Using GTA, a few studies have discovered altered topological organization of structural (Liu, Shi, Chen, Waye, Lim et al, 2015;Qi, Gu, Ding, Gong, Lu et al, 2016) or functional networks (Finn, Shen, Holahan, Scheinost, Lacadie et al, 2014) in dyslexics. For example, Liu et al (2015) reported abnormally high local efficiency in the gray matter network, and Qi et al (2016) revealed a more bilaterally, anteriorly connected surface area network in Chinese dyslexia. Finn et al (2014) found aberrant connectivity profiles within the visual pathway and between the visual association areas and the prefrontal attention areas, as well as in the right hemisphere regions in English dyslexia.…”

Section: Introductionmentioning

confidence: 99%

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Aberrant topologies and reconfiguration pattern of functional brain network in children with second language reading impairment

Liu

Zhang

et al. 2016

Developmental Science

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Prior work has extensively studied neural deficits in children with reading impairment (RI) in their native language but has rarely examined those of RI children in their second language (L2). A recent study revealed that the function of the local brain regions was disrupted in children with RI in L2, but it is not clear whether the disruption also occurs at a large-scale brain network level. Using fMRI and graph theoretical analysis, we explored the topology of the whole-brain functional network during a phonological rhyming task and network reconfigurations across task and short resting phases in Chinese children with English reading impairment versus age-matched typically developing (TD) children. We found that, when completing the phonological task, the RI group exhibited higher local network efficiency and network modularity compared with the TD group. When switching between the phonological task and the short resting phase, the RI group showed difficulty with network reconfiguration, as reflected in fewer changes in the local efficiency and modularity properties and less rearrangement of the modular communities. These findings were reproducible after controlling for the effects of in-scanner accuracy, participant gender, and L1 reading performance. The results from the whole-brain network analyses were largely replicated in the task-activated network. These findings provide preliminary evidence supporting that RI in L2 is associated with not only abnormal functional network organization but also poor flexibility of the neural system in responding to changing cognitive demands.

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“…On the one hand, comparative functional imaging studies with users of different writing systems (logographic vs. alphabetic, shallow vs. deep alphabetic orthographies, etc.) are helping identify the core brain mechanisms and areas involved in reading, as well as those that are script-specific (Paulesu et al, 2000(Paulesu et al, , 2001Siok et al, 2008;Hu et al, 2010;Liu et al, 2013;Pollack et al, 2015;Qi et al, 2016) . For instance, both shallow and deep orthographies result in the underactivation of regions within the left occipitotemporal cortex of dyslexic people.…”

Section: The Dyslexic Brainmentioning

confidence: 99%

An oscillopathic approach to developmental dyslexia: from genes to speech processing

Jiménez-Bravo

Marrero

Benítez‐Burraco

2017

Preprint

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Developmental dyslexia is a heterogeneous condition entailing problems with reading and spelling. Several genes have been linked or associated to the disease, many of which contribute to the development and function of brain areas that are important for auditory and phonological processing. Nonetheless, a clear link between genes, the brain, and the symptoms of dyslexia is still pending. The goal of this paper is contributing to bridge this gap. With this aim, we have focused on how the dyslexic brain fails to process speech sounds and reading cues. We have adopted an oscillatory perspective, according to which dyslexia results from a deficient integration of different brain rhythms during reading/spellings tasks. Moreover, we show that some candidates for this condition are related to brain rhythms. This approach should help gain a better understanding of the aetiology and the clinical presentation of developmental dyslexia, but also achieve an earlier and more accurate diagnosis of the disease.

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More bilateral, more anterior: Alterations of brain organization in the large-scale structural network in Chinese dyslexia

Cited by 37 publications

References 83 publications

Differences between child and adult large‐scale functional brain networks for reading tasks

Differences between child and adult large‐scale functional brain networks for reading tasks

Aberrant topologies and reconfiguration pattern of functional brain network in children with second language reading impairment

An oscillopathic approach to developmental dyslexia: from genes to speech processing

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