Neural specialization to English words in Chinese children: Joint contribution of age and English reading abilities.

N1 tuning to words, a neural marker of visual word recognition, develops by an interaction between age and ability. The development of N1 tuning to a second learnt print is unclear. The present study examined the joint contribution of age and English reading abilities to N1 amplitude and tuning to English print in Chinese children in Hong Kong. EEG signals were recorded from 179 children (six to nine years old) while they were performing a repetition detection task comprised of different print stimuli measuring three types of tuning, i.e., coarse tuning (real word versus false font), fine tuning (real versus nonword), and lexicality effect (real versus pseudo word). Children were assessed in English word reading accuracy (EWR) and English sub-lexical orthographic knowledge (EOK). Results indicated that coarse tuning decreased with age but increased with EWR and EOK. Fine tuning uniquely increased with EOK, and the lexicality effect increased with EWR. At last, higher EWR was linked to less right-lateralized coarse tuning in younger children. Taken together, the findings support the visual perceptual expertise account in the L2 context, in that N1 coarse tuning, fine tuning, and lexicality effect are driven by skill improvement.

Quantifying the regularities between orthography and semantics and their impact on group- and individual-level behavior.

Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regularities remain relatively understudied, with open questions regarding 3 issues: (a) how O-S regularities should be quantified, (b) how they impact the behavior of proficient readers, and (c) whether individual differences in sensitivity to these regularities predict reading skills. The goal of the current article is to address these questions. We start by reviewing previous studies estimating print-meaning regularities, where orthography-to-semantics consistency (OSC) is defined as the mean semantic similarity between a word and its orthographic neighbors. While we adopt this general strategy, we identify a potential confound in previous operational definitions. We therefore offer a modified measure, which we use to examine group-level OSC effects in available data sets of single word recognition and reading for comprehension. Our findings validate the existence of OSC effects but reveal variation across tasks, with OSC effects emerging more strongly in tasks involving a direct mapping of print to meaning. Next, we present a reanalysis of word naming data from 399 second through fifth graders, where we examine individual differences in reliance on O-S regularities and their relation to participants' reading skills. We show that early readers whose naming accuracy is more influenced by OSC (i.e., those who rely more on O-S) have better passage comprehension abilities. We conclude by discussing the role of O-S regularities in proficient reading and literacy acquisition. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Theory-driven classification of reading difficulties from fMRI data using Bayesian latent-mixture models.

Decades of research have led to several competing theories regarding the neural contributors to impaired reading. But how can we know which theory (or theories) identifies the types of markers that indeed differentiate between individuals with reading disabilities (RD) and their typically developing (TD) peers? To answer this question, we propose a new analytical tool for theory evaluation and comparison, grounded in the Bayesian latent-mixture modeling framework. We start by constructing a series of latent-mixture classification models, each reflecting one existing theoretical claim regarding the neurofunctional markers of RD (highlighting network-level differences in either mean activation, inter-subject heterogeneity, inter-region variability, or connectivity). Then, we run each model on fMRI data alone (i.e., while models are blind to participants' behavioral status), which enables us to interpret the fit between a model's classification of participants and their behavioral (known) RD/TD status as an estimate of its explanatory power. Results from n=127 adolescents and young adults (RD: n=59; TD: n=68) show that models based on network-level differences in mean activation and heterogeneity failed to differentiate between TD and RD individuals. In contrast, classifications based on variability and connectivity were significantly associated with participants' behavioral status. These findings suggest that differences in inter-region variability and connectivity may be better network-level markers of RD than mean activation or heterogeneity (at least in some populations and tasks). More broadly, the results demonstrate the promise of latent-mixture modeling as a theory-driven tool for evaluating different theoretical claims regarding neural contributors to language disorders and other cognitive traits.

Resting state EEG network modularity predicts literacy skills in L1 Chinese but not in L2 English.

EEG network modularity, as a proxy for cognitive plasticity, has been proposed to be a more reliable neural marker than power and coherence in predicting learning outcomes. The present study examined the associations between resting state EEG network modularity and both L1 Chinese and L2 English literacy skills among 90 Hong Kong first to fifth graders. The modularity indices of different frequency bands were highly correlated with one another. An exploratory factor analysis, performed to extract a general modularity index, explained 77.1% of the total variance. The modularity index was positively associated with Chinese word reading, Chinese phonological awareness, Chinese morphological awareness, and Chinese reading comprehension but was not significantly correlated with English word reading or English morphological awareness. Findings suggest that resting state EEG network modularity is likely to serve as a reasonable, reliable, and cost-effective neural marker of the development of first language but not second language literacy skills.

Event-related potentials during Chinese single-character and two-character word reading in children.

Word reading involves a series of cognitive processes, from lower-level visual processing to word semantic retrieval. To investigate the timing of the underlying neurocognitive processes in reading, the current study examined the electrophysiological correlates of cognitive functions associated with traditional Chinese word reading in Hong Kong children (Age: M = 8.19, SD = 0.82 years old) using event-related potentials (ERPs). A single-character lexical decision task and a two-character word lexical decision task were used to explore different levels of Chinese word processing. One-hundred ten children's data were analyzed. Results revealed that radical level processing was related to a P1 component at as early as 130 ms. Character-level processing was related to an N1 component from 218 ms onwards. Two-character word semantic processing was related to an N400-like component at as early as 450 ms. The results show a similar time course of visual word processing as previously reported in alphabetic languages, consistent with increasing specialization in the ventral visual stream for increasing wordlikeness leading to processing of linguistic aspects in higher-level language regions.

A Three-Year Longitudinal Study of Reading and Spelling Difficulty in Chinese Developmental Dyslexia: The Matter of Morphological Awareness.

In the present study, we used a three-time point longitudinal design to investigate the associations of morphological awareness to word reading and spelling in a small group of those with and without dyslexia taken from a larger sample of 164 Hong Kong Chinese children who remained in a longitudinal study across ages 6, 7 and 8. Among those 164 children, 15 had been diagnosed as having dyslexia by professional psychologists, and 15 other children manifested average reading ability and had been randomly selected from the sample for comparison. All children were administered a battery of tasks including Chinese character recognition, word dictation, morphological awareness, phonological awareness and rapid automatized naming. Multivariate analysis of variance and predictive discriminate analysis were performed to examine whether the dyslexic children showed differences in the cognitive-linguistic tasks in comparison with controls. Results suggested that the dyslexic groups had poorer performance in morphological awareness and RAN across all 3 years. However, phonological awareness was not stable in distinguishing the groups. Findings suggest that morphological awareness is a relatively strong correlate of spelling difficulties in Chinese, but phonological awareness is not. Copyright © 2017 John Wiley & Sons, Ltd.

Coarse and fine N1 tuning for print in younger and older Chinese children: Orthography, phonology, or semantics driven?

Visual expertise in distinguishing words from objects and word-like stimuli is a fundamental skill that is important for children to become proficient readers. This expertise can be indexed by the N1 component of ERPs at the neural level. However, the nature of N1 tuning for print is controversial in terms of onset of the latency, lateralization and the neural mechanism of the N1. This study aimed to investigate whether two groups of Chinese children could discriminate characters/character-like stimuli from visual controls (i.e., coarse N1 tuning) and distinguish characters from character-like stimuli (i.e., fine N1 tuning). We also explored the cognitive-linguistic correlates of N1 tuning. Seventeen children in the younger group (M=7.7 years) and 13 in the older group (M=9.4 years) were all required to finish a character decision task with character, pseudocharacter, noncharacter, and stroke combination conditions using ERP testing. Both the pseudocharacters and noncharacters were unpronounceable, and the main difference between the two conditions was in orthographic presentation (i.e., radical position). Children were also administered measures of reading fluency, reading accuracy, RAN, phonological skill and vocabulary knowledge. ERP results showed that a significantly larger N1 was observed in the characters, pseudocharacters, and noncharacters as compared to the stroke combinations in both groups. The N1 for characters and pseudocharacters was also significantly larger than that for noncharacters in both groups. Both coarse and fine N1s were larger for younger children than for older children, and the N1 was bilateral in younger children, but left lateralized in older children. Correlational analyses showed that the coarse N1 tuning of real characters versus visual controls was moderately correlated with reading fluency and accuracy but not RAN, phonology, or vocabulary. Taken together, our study suggests that both coarse and fine N1 tuning occurs in both younger and older children, when performing character decisions. Under such task demands, orthography, rather than phonology or semantics, seems to be the driver of coarse N1 tuning for print in Chinese children.

Predicting the naming of regular-, irregular- and non-phonetic compounds in Chinese.

This study investigated the contributions of different cognitive measures in predicting the three types of Chinese characters: regular phonetic compounds, irregular phonetic compounds and non-phonetic compounds. A total of 246 Grade 3 children (mean age = 8.63 yrs) were tested using a bunch of tasks including phonological processing, orthographic processing, morphological processing, rapid automatised naming and Chinese character naming. Results showed that advanced phonological processing skills contributed largely to regular phonetic compounds naming while other cognitive measures predict the naming of the other two types of characters. The results imply that the skills underlying the learning of regular phonetic compounds are different from that of irregular phonetic compounds and non-phonetic compounds, which are similar. Data from three poor readers whose performances pattern on naming different types of Chinese characters agreed with the pattern predicted by their performances in different cognitive tasks provide further support to the claim. Theoretical and pedagogical implications were discussed.