Functional connectivity is linked to working memory differences in children with reading learning disability.

Reading learning disability (RLD) is characterized by a specific difficulty in learning to read that is not better explained by an intellectual disability, lack of instruction, psychosocial adversity, or a neurological disorder. According to the domain-general hypothesis, a working memory deficit is the primary problem. Working memory in this population has recently been linked to altered resting-state functional connectivity within the default mode network (DMN), salience network (SN), and frontoparietal network (FPN) compared to that in typically developing individuals. The main purpose of the present study was to compare the within-network functional connectivity of the DMN, SN, FPN, and reading network in two groups of children with RLD: a group with lower-than-average working memory (LWM) and a group with average working memory (AWM). All subjects underwent resting-state functional magnetic resonance imaging (fMRI), and data were analyzed from a network perspective using the network brain statistics framework. The results showed that the LWM group had significantly weaker connectivity in a network that involved brain regions in the DMN, SN, and FPN than the AWM group. Although there was no significant difference between groups in reading network in the present study, other studies have shown relationship of the connectivity of the angular gyrus, supramarginal gyrus, and inferior parietal lobe with the phonological process of reading. The results suggest that although there are significant differences in functional connectivity in the associated networks between children with LWM and AWM, the distinctive cognitive profile has no specific effect on the reading network.

Activation and functional connectivity of cerebellum during reading and during arithmetic in children with combined reading and math disabilities.

Background: Reading and math constitute important academic skills, and as such, reading disability (RD or developmental dyslexia) and math disability (MD or developmental dyscalculia) can have negative consequences for children's educational progress. Although RD and MD are different learning disabilities, they frequently co-occur. Separate theories have implicated the cerebellum and its cortical connections in RD and in MD, suggesting that children with combined reading and math disability (RD + MD) may have altered cerebellar function and disrupted functional connectivity between the cerebellum and cortex during reading and during arithmetic processing. Methods: Here we compared Control and RD + MD groups during a reading task as well as during an arithmetic task on (i) activation of the cerebellum, (ii) background functional connectivity, and (iii) task-dependent functional connectivity between the cerebellum and the cortex. Results: The two groups (Control, RD + MD) did not differ for either task (reading, arithmetic) on any of the three measures (activation, background functional connectivity, task-dependent functional connectivity). Conclusion: These results do not support theories that children's deficits in reading and math originate in the cerebellum.

From spelling to reading: An intervention program with children at risk of reading failure.

This study aimed to assess the impact of an interactive spelling program on reading acquisition of children at risk of developing reading difficulties as well as to assess its effect on spelling and phonemic awareness. From an initial pool of 144 first-grade children attending four Portuguese primary schools, 53 children with low performances in letter knowledge and phonemic awareness tasks, and considered by their teachers to be at risk of developing reading difficulties, were selected. These children were randomly assigned to three groups: an experimental group that underwent an interactive spelling program, a comparison group that underwent a phonological awareness program, and a control group that underwent a copying program. The programs, conducted in pairs, comprised 12 sessions lasting 20 to 30 min twice a week. The pretest and posttest included word reading, word spelling, and phonemic awareness assessments. Data analysis showed that the spelling group significantly outperformed the other groups across all measures except in the phonemic awareness task, where there were no differences with the phonological group. The word copying group consistently yielded the lowest results. Unlike the other two groups, the posttest results of the experimental group also reached the class average in word reading. For ethical reasons, after the final assessments the control group underwent a version of the interactive spelling program. This study suggests that spelling activities can contribute significantly to reading acquisition and can serve as a valuable pedagogical tool to proactively address challenges in learning to read.

Examining the Impact of Reading Fluency on Lexical Decision Results in French 6th Graders.

PURPOSE: How does lexical decision behavior vary in students with the same grade level (all students were in their first year of middle-school), but different levels of reading fluency? Here, we tested a prediction of the dual-route model: as fluency increases, variations in the results may reflect a decreasing reliance on decoding and an increasing reliance on the lexical route. METHOD: 1,501 French 6th graders passed a one-minute speeded reading-aloud task evaluating fluency, and a ten-minute computerized lexical decision task evaluating the impact of lexicality, length, word frequency and pseudoword type. RESULTS: As predicted, the word length effect varied dramatically with reading fluency, with the least fluent students showing a length effect even for frequent words. The frequency effect also varied, but solely in proportion to overall reading speed, suggesting that frequency affects the decision stage similarly in all readers, while length disproportionately impacts poor readers. Response times and errors were also affected by pseudoword type (e.g., letter substitutions or transpositions), but these effects showed minimal variation with fluency. Overall, lexical decision variables were excellent predictors of reading fluency (r = 0.62). CONCLUSION: Our results highlight the variability in middle-school reading ability and describe how a simple lexical decision task can be used to assess students' mental lexicon (vocabulary) and the automatization of reading skills.

Enhancing word signing in hearing students with reading disorders using computer-based learning trials.

Multiple-baseline-across-word-sets designs were used to determine whether a computer-based intervention would enhance accurate word signing with four participants. Each participant was a hearing college student with reading disorders. Learning trials included 3 s to observe printed words on the screen and a video model performing the sign twice (i.e., simultaneous prompting), 3 s to make the sign, 3 s to observe the same clip, and 3 s to make the sign again. For each participant and word set, no words were accurately signed during baseline. After the intervention, all four participants increased their accurate word signing across all three word sets, providing 12 demonstrations of experimental control. For each participant, accurate word signing was maintained. Application of efficient, technology-based, simultaneous prompting interventions for enhancing American Sign Language learning and future research designed to investigate causal mechanisms and optimize intervention effects are discussed.

Which childhood predictive indices forecast reading and writing skills in school-age children: a systematic review.

Learning to read and write are essential academic skills that children develop during their early years of primary school. These skills are supported by various predictive indices that emerge in early childhood. This review has three main goals: to identify which factors are closely examined as predictors for reading and writing, specifically decoding and encoding skills, in different populations and languages (Objective 1); to assess the longitudinal relationship between these predictors and reading and writing skills (Objective 2), considering difficulties or disorders in these areas (Objective 3), during school-age. Using the PRISMA methodology, 81 articles were reviewed. As a first result, there is a significant difference in the number of studies investigating the relationship between predictors and reading (n = 75) compared to writing (n = 18). The most extensively studied predictors for both skills are phonological awareness, language skills, executive functions, rapid automatized naming, and non-verbal cognitive skills. English is the most studied language. Results indicated variability in the relationship between predictors and reading/writing, possibly due to differences in the analyzed populations, chosen outcome measures, and statistical analyses. Additionally, few studies explored the long-term connection between predictors and learning difficulties. In summary, recognizing the multifaceted nature of predictive factors for reading and writing is crucial, and early screening is important for tailored preventive interventions in case of early deficiencies. Future research should delve into writing, conduct cross-cultural studies with diverse languages, and explore the role of predictive factors in understanding reading and writing difficulties or disorders.

Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code.

Background: Automated eye tracking data correction algorithms such as Dynamic-Time Warp always made a trade-off between the ability to handle regressions (jumps back) and distortions (fixation drift). At the same time, eye movement in code reading is characterized by non-linearity and regressions. Objective: In this paper, we present a family of hybrid algorithms that aim to handle both regressions and distortions with high accuracy. Method: Through simulations with synthetic data, we replicate known eye movement phenomena to assess our algorithms against Warp algorithm as a baseline. Furthermore, we utilize two real datasets to evaluate the algorithms in correcting data from reading source code and see if the proposed algorithms generalize to correcting data from reading natural language text. Results: Our results demonstrate that most proposed algorithms match or outperform baseline Warp in correcting both synthetic and real data. Also, we show the prevalence of regressions in reading source code. Conclusion: Our results highlight our hybrid algorithms as an improvement to Dynamic-Time Warp in handling regressions.

Flicker and reading speed: Effects on individuals with visual sensitivity.

Flicker and patterns of stripes in the modern environment can evoke visual illusions, discomfort migraine, and seizures. We measured reading speed while striped and less striped texts were illuminated with LED lights. In Experiment 1, the lights flickered at 60 Hz and 120 Hz compared to 60 kHz (perceived as steady light). In Experiment 2, the lights flickered at 60 Hz or 600 Hz (at which frequency the phantom array is most visible), and were compared to continuous light. Two types of text were used: one containing words with high horizontal autocorrelation (striped) and another containing words with low autocorrelation (less striped). We measured the number of illusions participants saw in the Pattern Glare (PG) Test. Overall, reading speed was slowest during the 60 Hz and 600 Hz flicker and was slower when reading the high autocorrelation text. Interestingly, the low PG group showed greater effects of flicker on reading speed than the high PG group, which tended to be slower overall. In addition, reading speed in the high PG group was reduced when the autocorrelation of the text was high. These findings suggest that uncomfortable visual environments reduce reading efficiency, the more so in individuals who are visually sensitive.

Corrigendum: L2 Arabic learners' processing of Arabic garden-path sentences: a consistent reading pattern.

[This corrects the article DOI: 10.3389/fpsyg.2024.1333112.].

Low Literacy Levels Among U.S. Adults and Difficult Ballot Propositions.

High-level literacy skills are required for full participation in the democratic process through voting. Consequently, adults with low-level literacy skills are at a disadvantage. This work investigated the disparity between the readability of U.S. ballot propositions for year 2022 state elections and grade level reading estimates (≤eighth grade) for adults. Educational attainment was also examined. Propositions (n = 140) from 38 states were included. Mean readability was 18 (range 7.0-64.0). Only four measures (3%) fell within range of national estimates for adult reading ability. Thirty-nine percent of adults completed high school or less, yet 74% of ballots were written well above a high school reading level. There is a discrepancy between the literacy skills of the average voter and the readability of most propositions. The findings of this study have important implications for individuals with learning disabilities. Policy changes and educational support efforts should be initiated.

Electrophysiological evidence of lexical processing impacted by foreign language reading anxiety.

Extensive studies have been conducted on the impact of foreign language reading anxiety on reading, primarily focusing on pedagogy and behavior but lacking electrophysiological evidence. The current study aimed to investigate the influence of foreign language reading anxiety on reading and its underlying mechanisms. The results revealed a negative correlation between foreign language reading anxiety and foreign language reading performance, irrespective of the native language. Adults with low levels of foreign language reading anxiety (LFLRA) demonstrated a significant difference in early lexical component N170 amplitude between foreign and native languages. However, this effect was not observed in adults with high levels of foreign language reading anxiety (HFLRA). In terms of N170 latency, HFLRA showed a longer N170 for the foreign language compared to the native language. Furthermore, the N170 effects were predominantly localized over the left occipitotemporal electrodes. Regarding N400 latency, a significant difference was found in LFLRA individuals between foreign and native language processing, while HFLRA individuals did not exhibit this difference. These findings suggest that HFLRA individuals experience inefficient lexical processing (such as orthography or semantics) during reading in foreign language.

Visual cortex anodal transcranial direct current stimulation does not alter reading performance for Chinese presented character-by-character to normal peripheral vision in older adults.

Visual cortex anodal transcranial direct current stimulation (a-tDCS) has been shown to reduce crowding in normal peripheral vision and may improve the reading of English words in patients with macular degeneration. Given the different visual requirements of reading English words and Chinese characters, the effect of a-tDCS on peripheral reading performance in English might differ from Chinese. This study recruited 20 participants (59-73 years of age) with normal vision and tested the hypothesis that a-tDCS would improve the reading of Chinese characters presented at 10° eccentricity compared with sham stimulation. Chinese sentences of different print sizes and exposure durations were presented one character at a time, 10° below or to the left of fixation. The individual critical print size (CPS) - the smallest print size eliciting the maximum reading speed (MRS) - was determined. Reading accuracies for characters presented 0.2 logMAR smaller than the individually fitted CPS were measured at four time points: before, during, 5 min after, and 30 min after receiving active or sham visual cortex a-tDCS. Participants completed both the active and sham sessions in a random order following a double-blind, within-subject design. No effect of active a-tDCS on reading accuracy was observed, implying that a single session of a-tDCS did not improve Chinese character reading in normal peripheral vision. This may suggest that a-tDCS does not significantly reduce the crowding elicited within a single Chinese character. However, the effect of a-tDCS on between-character crowding is yet to be determined.

No, Bionic Reading does not work.

It has recently been claimed that presenting text with the first half of each word printed in bold (as is done in this example), so-called Bionic Reading, facilitates reading. However, empirical tests of this claim are lacking, and theoretically one might expect a cost rather than a benefit. Here I tested participants' reading speed of 100 paragraphs that were presented either in 'Bionic' or in normal font. Statistical analyses revealed no significant difference in reading times between Bionic and normal reading. I conclude that Bionic Reading does not facilitate reading.

Incorporating calibration errors in oral reading fluency scoring.

Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passage parameter estimates are currently used as if they were population values in model-based ORF scoring. However, calibration errors that are unaccounted for may bias ORF score estimates and, in particular, lead to underestimated standard errors (SEs) of ORF scores. Therefore, we consider an approach that incorporates the calibration errors in latent variable scores. We further derive the SEs of ORF scores based on the delta method to incorporate the calibration uncertainty. We conduct a simulation study to evaluate the recovery of point estimates and SEs of latent variable scores and ORF scores in various simulated conditions. Results suggest that ignoring calibration errors leads to underestimated latent variable score SEs and ORF score SEs, especially when the calibration sample is small.

Rapid online assessment of reading and phonological awareness (ROAR-PA).

Phonological awareness (PA) is at the foundation of reading development: PA is introduced before formal reading instruction, predicts reading development, is a target for early intervention, and is a core mechanism in dyslexia. Conventional approaches to assessing PA are time-consuming and resource intensive: assessments are individually administered and scoring verbal responses is challenging and subjective. Therefore, we introduce a rapid, automated, online measure of PA-The Rapid Online Assessment of Reading-Phonological Awareness-that can be implemented at scale without a test administrator. We explored whether this gamified, online task is an accurate and reliable measure of PA and predicts reading development. We found high correlations with standardized measures of PA (CTOPP-2, r = .80) for children from Pre-K through fourth grade and exceptional reliability (α = .96). Validation in 50 first and second grade classrooms showed reliable implementation in a public school setting with predictive value of future reading development.

What books should we like? A study of gender differences and stereotypes in the reading behaviors of Chinese middle school students.

INTRODUCTION: This study investigated gender differences in the reading behaviors of Chinese middle school students, and whether gender stereotypes relating to choices of reading matter are supported. METHODS: A mixed-methods approach was adopted. Three thousand nine hundred and fifteen middle school (Grade 7) students completed a questionnaire designed to assess reading behaviors. Independent sample t-test and chi-square analyses were employed to examine gender differences in reading behaviors. The qualitative survey was supplemented with an open response survey (94 boys, 50 girls), which provided further insights into individuals' specific experiences and perspectives regarding reading behaviors and gender stereotypes in reading choices. RESULTS: This study revealed a number of gender-linked differences. Boys spent more time reading than girls but read the same number of books; boys were also more likely than girls to read digital texts, while girls were more likely to borrow their reading material. Choice of subject matter also differed: boys were more likely to read factual and action-based books, while girls' choices focused more on motives and emotions. Another significant difference was that boys paid more attention to the overall experience of reading, while girls paid more attention to the details of reading. Responses to the open response survey indicated that gender stereotypes in reading choices were prevalent among respondents, but some students' reading choices did not align with the stereotype associated with their gender. CONCLUSION: The mixed-methods approach proved valuable in both identifying gender differences in reading behaviors, and in highlighting the prevalence of gender stereotypes in reading choices among middle school students.

The Relationships of Oral Reading Fluency at Word, Sentence, and Passage Levels and Reading Comprehension in Chinese.

This study aims to expand our understanding of the relations of oral reading fluency at word, sentence, and passage levels to reading comprehension in Chinese-speaking secondary school-aged students. In total, 80 participants (46 males and 34 females) ranging from 13 to 15 years old joined this study and were tested on tasks of oral reading fluency at three levels, reading comprehension, and nonverbal IQ. Our results showed a clear relationship from fluency at the level of the word to the sentence and then the passage in oral reading fluency as well as both the direct and indirect importance of word-level oral reading fluency in reading comprehension. Only the indirect effect from word-level oral reading fluency to reading comprehension through passage-level oral reading fluency was significant. Our findings suggest that sentence-level oral reading fluency is the crucial component to reading comprehension in Chinese. Additionally, recognition of the potential value of unique features, such as syntactic awareness and word segment accuracy, that happen at the sentence level should be integrated into instructional activities for reading.

An inclusive multivariate approach to neural localization of language components.

To determine how language is implemented in the brain, it is important to know which brain areas are primarily engaged in language processing and which are not. Existing protocols for localizing language are typically univariate, treating each small unit of brain volume as independent. One prominent example that focuses on the overall language network in functional magnetic resonance imaging (fMRI) uses a contrast between neural responses to sentences and sets of pseudowords (pronounceable nonwords). This contrast reliably activates peri-sylvian language areas but is less sensitive to extra-sylvian areas that are also known to support aspects of language such as word meanings (semantics). In this study, we assess areas where a multivariate, pattern-based approach shows high reproducibility across multiple measurements and participants, identifying these areas as multivariate regions of interest (mROI). We then perform a representational similarity analysis (RSA) of an fMRI dataset where participants made familiarity judgments on written words. We also compare those results to univariate regions of interest (uROI) taken from previous sentences > pseudowords contrasts. RSA with word stimuli defined in terms of their semantic distance showed greater correspondence with neural patterns in mROI than uROI. This was confirmed in two independent datasets, one involving single-word recognition, and the other focused on the meaning of noun-noun phrases by contrasting meaningful phrases > pseudowords. In all cases, areas of spatial overlap between mROI and uROI showed the greatest neural association. This suggests that ROIs defined in terms of multivariate reproducibility can help localize components of language such as semantics. The multivariate approach can also be extended to focus on other aspects of language such as phonology, and can be used along with the univariate approach for inclusively mapping language cortex.

Effect of IRSL-BLSL-TSL reading modes combination on thermoluminescence (TL) response of BeO dosimeter.

The ultimate goal of this work is the study of the effect of luminescence stimulations and signals reading modes combinations on the thermoluminescence intensity and glow curve behaviour for the same X-ray irradiation dose. Three interesting stimulating and reading modes are considered, namely, infrared stimulated luminescence (IRSL), blue light-emitting diode stimulated luminescence (BLSL) and thermally stimulated luminescence (TSL). The studied stimulation and reading modes combination protocols are (Protocol 1) IRSL-TSL, (Protocol 2) IRSL-BLSL-TSL and (Protocol 3) BLSL-IRSL-TSL. Experiments are performed on beryllium oxide (BeO) dosimeter. Results demonstrate well that the combination of reading modes have direct impact on the TL signal in terms of intensity and glow curve shape. It was also found that when reading modes are correctly combined, particularly when IRSL is applied first, then BLSL and TL, it is possible to collect two or more exploitable signals of different stimulation types for the same irradiation that can be used for different purposes and final applications.