Predicting adult-age mental health with childhood reading and math disability: do resilience and coping styles matter?

We studied the associations between childhood-identified learning disabilities and adult-age mental health and whether adult-age reading and math skills, coping styles, or resilience influenced the associations. The participants were 159 Finnish adults (60.4% males). Of them, 48 (30%) had a reading disability (RD), 22 (14%) had a math disability (MD), 21 (13%) had RD + MD identified in childhood, and 68 (43%) were population-based controls, matched based on gender, age, and place of residence. At ages 20-40 (Mage = 29), they reported their mental health, coping styles, and resilience, and their reading and math skills were assessed. The hierarchical regression analyses, predicting mental health with RD, MD, and their interaction while controlling for gender and age, indicated that childhood MD predicted the occurrence of more mental health problems in adulthood, but this was not observed in the case of RD. The RDxMD positive interaction effect reflected better mental health in both the RD and the RD + MD groups than in the MD group. Controlling for adult-age reading and math skills had no effect on the association between MD and mental health outcomes while controlling for resilience and coping styles diminished the impact of MD. Strong resilience without the use of an emotion-oriented coping may thus alleviate the association between MD and mental health. As childhood MD can have long-term associations with mental health problems, these issues need to be addressed in school, at work, and in healthcare. Based on our findings, strengthening effective coping and resilience may be one avenue of support.

Sequence Processing in Music Predicts Reading Skills in Young Readers: A Longitudinal Study.

Musical abilities, both in the pitch and temporal dimension, have been shown to be positively associated with phonological awareness and reading abilities in both children and adults. There is increasing evidence that the relationship between music and language relies primarily on the temporal dimension, including both meter and rhythm. It remains unclear to what extent skill level in these temporal aspects of music may uniquely contribute to the prediction of reading outcomes. A longitudinal design was used to test a group-administered musical sequence transcription task (MSTT). This task was designed to preferentially engage sequence processing skills while controlling for fine-grained pitch discrimination and rhythm in terms of temporal grouping. Forty-five children, native speakers of Portuguese (Mage = 7.4 years), completed the MSTT and a cognitive-linguistic protocol that included visual and auditory working memory tasks, as well as phonological awareness and reading tasks in second grade. Participants then completed reading assessments in third and fifth grades. Longitudinal regression models showed that MSTT and phonological awareness had comparable power to predict reading. The MSTT showed an overall classification accuracy for identifying low-achievement readers in Grades 2, 3, and 5 that was analogous to a comprehensive model including core predictors of reading disability. In addition, MSTT was the variable with the highest loading and the most discriminatory indicator of a phonological factor. These findings carry implications for the role of temporal sequence processing in contributing to the relationship between music and language and the potential use of MSTT as a language-independent, time- and cost-effective tool for the early identification of children at risk of reading disability.

The N400 in readers with dyslexia: A systematic review and meta-analysis.

This systematic review and meta-analysis aimed to assess whether (i) significant differences exist in the N400 response to lexico-semantic tasks between typically developing (TD) readers and readers with dyslexia, and (ii) whether these differences are moderated by the modality of task presentation (visual vs. auditory), the type of task, age, or opaque orthography (shallow and transparent alphabets vs Chinese morpho-syllabary). Twenty studies were included in the meta-analysis, and the analysis did not demonstrate strong evidence of publication bias. An overall effect size of Hedge's g = 0.66, p < .001, was found between typically developing readers and readers with dyslexia. All moderators were found to be significant; larger effects were associated with visual modality (g = 0.692, p < .001), semantically incongruent sentence tasks (g = 0.948, p < .001), pseudowords/characters tasks (g = 0.971, p < .001), and orthography [Chinese (g = 1.015, p < .001) vs. alphabets (g = 0.539, p < .001)]. Analysis of reaction time showed Hedge's g = 1.613, p < .001. Results suggest that the N400 reliably differentiated between typically developing readers and readers with dyslexia. Implications for future research and practice are discussed.

Brain changes with Chinese reading development in typical and atypical readers.

Reading is a high-order cognitive process that is unique in human beings. There is a prolonged developmental course and a wide range of proficiency levels associated with reading. In this review, I focus on brain changes underlying Chinese reading development in both typical readers and readers with reading disability. Reading development in typical readers is characterized by a shift from dorsal phonological reading to ventral orthographic reading in the brain and increased interactive specialization in the reading network. Even though some individuals with reading disability may be able to catch up with typical readers on phonological reading by adulthood, they cannot reach fluent orthographic reading. In the brain, the reduction of brain activation in the left inferior frontal gyrus associated with reading disability disappears by adulthood, suggesting that this is a developmental delay, while there is a greater reduction of brain activation in the left inferior temporal gyrus in adults than children with reading disability. It suggests a greater deficit in the dorsal phonological reading pathway in children and a greater deficit in the ventral orthographic reading pathway in adults with reading disability. This review provides insights about the developmental trajectories in typical and atypical reading.

Empowering Schools to Implement Effective Research-Based Reading Remediation Delivers Long-Lasting Improvements to Children's Reading Trajectories.

There is a wide gap between what research evidence identifies as effective reading intervention and what is currently offered in schools. This effectiveness study reports the results of a long-term research/school system partnership that is implementing reading intervention for children with reading difficulties in community schools. In Study 1, growth-curve analyses revealed significant long-term shifts in the reading trajectories of children (n = 731) from Kindergarten to Grade 5 as a function of receiving the Empower™ Reading: Decoding and Spelling intervention. Long-term outcomes were higher in children who received intervention in Grade 2 than in Grade 3, supporting the benefit of earlier intervention. In Study 2, we compare reading outcomes before and after children participated in school system-led intervention (Empower™ Reading, n = 341) to results from previously reported researcher-led intervention and business-as-usual controls. Children in both school system-led and researcher-led interventions showed greater improvement than controls on standardized measures of decoding and reading comprehension. Among school system participants, greater gains were seen for those with stronger reading skills at pre-test. Findings demonstrate successful school system implementation of research-originated and validated reading intervention. Researcher/school system partnerships may be integral in closing the research-practice gap.

A Model of the Home Literacy Environment and Family Risk of Reading Difficulty in Relation to Children's Preschool Emergent Literacy.

This study extends the research on the preschool home literacy environment (HLE) in the context of the family risk (FR) of reading disability (RD) by examining a multiple-deficit model of RD. A total of 1171 six-year-old children were assessed at school entry, the onset of formal reading instruction in Norway. Their parents completed a questionnaire regarding their own RD, education, and the HLE. The final sample after applying the inclusion criteria was 794 children and their parents. The findings suggest, first, that two HLE factors (access to print and reading-related activities) should be distinguished rather than treated as a single factor, "exposure to print," as the majority of previous studies have done. This finding suggests a three-factor HLE model that includes parents' reading interests and habits, reading-related activities, and access to print. Second, FR of RD is related to some extent to the HLE, even after controlling for parents' education. Third, children's experiences in their home environments and their emergent literacy may not be independent of their FR of RD. More importantly, this study highlights the potential protective role of the HLE, especially when there is a history of RD within the family. The reason is that the positive association between the HLE and children's code-related emergent literacy remains significant when controlling for FR of RD (access to print → emergent literacy: 0.39 [0.01, 0.68], p < 0.01; reading-related activities → emergent literacy: 0.37 [0.02, 0.35], p < 0.01; parents' reading interests and habits → emergent literacy: 0.26 [0.001, 0.15], p < 0.01). This finding supports that children's emergent literacy can be improved via a modifiable, dynamic factor such as the HLE.

Early Identification of Children with Dyslexia: Variables Differentially Predict Poor Reading Versus Unexpected Poor Reading.

Definitions of dyslexia typically make reference to unexpected poor reading, although how best to operationalize unexpected remains an issue. When operationally defined as reading below expectations based on level of oral language, cases of unexpected poor reading make up fewer than half of cases of poor reading, and cases of unexpected poor reading occur throughout the range of reading proficiency. An implication is that what optimally predicts poor reading may not optimally predict unexpected poor reading. The goal of the three presented studies was to test this implication empirically. In Study 1, a model-based meta-analysis, phonological awareness accounted for 40% of the variance in decoding but only 1% of the variance in decoding that was unexpected based on level of vocabulary. Conversely, unexpected phonological awareness accounted for 34% of the variance in unexpected decoding but only 1% of the variance in decoding. An analogous pattern of results occurred for reading comprehension. In Study 2, a study of 766 children in kindergarten, first grade, and second grade, latent variables were used to represent oral vocabulary, phonological awareness, and decoding. As was seen in Study 1, unexpected decoding was better predicted by unexpected phonological awareness than by phonological awareness. In Study 3, a longitudinal study of 1,025 children followed from preschool through grade 2, the pattern of results mirrored those of Studies 1 and 2. An important implication of these studies is that typical assessments may be better at identifying poor reading than they are at identifying unexpected poor reading or dyslexia.

What We Know and Need to Know about Literacy Interventions for Elementary Students with Reading Difficulties and Disabilities, including Dyslexia.

The purpose of this paper is to describe what we know and what we still need to learn about literacy intervention for children who experience significant difficulties learning to read. We reviewed 14 meta-analyses and systematic reviews of experimental and quasi-experimental studies published in the last decade that examined the effects of reading and writing interventions in the elementary grades, including research focused on students with reading difficulties and disabilities, including dyslexia. We attended to moderator analyses, when available, to further refine what we know and need to learn about interventions. Findings from these reviews indicate that explicit and systematic intervention focusing on the code and meaning dimensions of reading and writing, and delivered one-to-one or in small groups, are likely to improve foundational code-based reading skills, and to a lesser extent, meaning-based skills, across elementary grade levels. Findings, at least in the upper elementary grades, indicate that some intervention features including standardized protocols, multiple components, and longer duration can yield stronger effects. And, integrating reading and writing interventions shows promise. We still need to learn more about specific instructional routines and components that provide more robust effects on students' ability to comprehend and individual differences in response to interventions. We discuss limitations of this review of reviews and suggest directions for future research to optimize implementation, particularly to understand for whom and under what conditions literacy interventions work best.

An fMRI study of finger movements in children with and without dyslexia.

Introduction: Developmental dyslexia is a language-based reading disability, yet some have reported motor impairments, usually attributed to cerebellar dysfunction. Methods: Using fMRI, we compared children with and without dyslexia during irregularly paced, left or right-hand finger tapping. Next, we examined seed-to-voxel intrinsic functional connectivity (iFC) using six seed regions of the motor system (left and right anterior lobe of the cerebellum, SM1 and SMA). Results: A whole-brain task-evoked analysis revealed relatively less activation in the group with dyslexia in right anterior cerebellum during right hand tapping. For iFC, we found the group with dyslexia to have greater iFC between the right SM1 seed and a medial aspect of right postcentral gyrus for left hand tapping; and greater iFC between the left SM1 seed and left thalamus, as well as weaker local iFC around the left SM1 seed region for right hand tapping. Lastly, extracted activity and connectivity values that had been identified in these between-group comparisons were not correlated with measures of reading. Discussion: We conclude that there are some aberrations in motor system function in children with dyslexia, but these are not tied to reading ability.

White matter correlates of reading subskills in children with and without reading disability.

Individual differences in reading ability are associated with characteristics of white matter microstructure in the brain. However, previous studies have largely measured reading as a single construct, resulting in difficulty characterizing the role of structural connectivity in discrete subskills of reading. The present study used diffusion tensor imaging to examine how white matter microstructure, measured by fractional anisotropy (FA), relates to individual differences in reading subskills in children aged 8 to 14 (n = 65). Findings showed positive correlations between FA of the left arcuate fasciculus and measures of single word reading and rapid naming abilities. Negative correlations were observed between FA of the right inferior longitudinal fasciculus and bilateral uncinate fasciculi, and reading subskills, particularly reading comprehension. The results suggest that although reading subskills rely to some extent on shared tracts, there are also distinct characteristics of white matter microstructure supporting different components of reading ability in children.

Deep learning classification of reading disability with regional brain volume features.

Developmental reading disability is a prevalent and often enduring problem with varied mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and phenotypic variation, as well as relatively modest sample sizes, may have limited the development of accurate neuroimaging-based classifiers for reading disability, including because of the large feature space of neuroimaging datasets. An unsupervised learning model was used to reduce deformation-based data to a lower-dimensional manifold and then supervised learning models were used to classify these latent representations in a dataset of 96 reading disability cases and 96 controls (mean age: 9.86 ± 1.56 years). A combined unsupervised autoencoder and supervised convolutional neural network approach provided an effective classification of cases and controls (accuracy: 77%; precision: 0.75; recall: 0.78). Brain regions that contributed to this classification accuracy were identified by adding noise to the voxel-level image data, which showed that reading disability classification accuracy was most influenced by the superior temporal sulcus, dorsal cingulate, and lateral occipital cortex. Regions that were most important for the accurate classification of controls included the supramarginal gyrus, orbitofrontal, and medial occipital cortex. The contribution of these regions reflected individual differences in reading-related abilities, such as non-word decoding or verbal comprehension. Together, the results demonstrate an optimal deep learning solution for classification using neuroimaging data. In contrast with standard mass-univariate test results, results from the deep learning model also provided evidence for regions that may be specifically affected in reading disability cases.

Comparing executive functions in children with attention deficit hyperactivity disorder with or without reading disability: A resting-state EEG study.

INTRODUCTION: As numerous studies have shown, executive dysfunction is the main impairment in attention-deficit/hyperactivity disorder. According to recent neuroimaging studies, the frontoparietal coherence plays a key role in overall cognitive functions. Therefore, the aim of this study was to compare executive functions during resting-state EEG by monitoring brain connectivity (coherence) patterns in children with attention deficit hyperactivity disorder (ADHD) with or without reading disability (RD). METHODS: The statistical sample of the study consisted of 32 children with ADHD aged between 8 and 12 years old with or without specific RD. Each group consisted of 11 boys and 5 girls that were matched on chronological age and gender. EEG was recorded during eyes-opened condition and brain connectivity within and between frontal and parietal regions was analyzed within theta, alpha, and beta bands. RESULTS: The results revealed that across the frontal regions, the comorbid group showed a significant reduction in the left intrahemispheric coherence in the alpha and beta bands. The ADHD-alone group exhibited increased theta and decreased alpha and beta coherence in frontal regions. In the frontoparietal regions, children in the comorbid group showed lower coherence between frontal and parietal networks compared to children without comorbid RD. CONCLUSION: The findings indicate that brain connectivity (coherence) patterns of children with ADHD with comorbid RD were more abnormal and lend support to more disrupted cortical connectivity in the comorbid group. Thus, these findings can be a useful marker for better recognizing ADHD and comorbid disabilities.

Exploring the Machine Learning Paradigm in Determining Risk for Reading Disability.

Purpose: Researchers have developed a constellation model of decoding-related reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation model framework. However, some issues may arise with applying the logistic regression method (e.g., multicollinearity). Machine learning techniques, such as random forest (RF), might assist in overcoming these limitations. They can better deal with complex data relations than traditional approaches. We examined the prediction performance of RF and compared it against LR to determine RD risk. Method: The sample comprised 12,171 students from Florida whose third-grade RD risk was operationalized using the constellation model with one, two, three, or four RD indicators in first and second grade. Results: Results revealed that LR and RF performed on par in accurately predicting RD risk. Regarding predictor importance, reading fluency was consistently the most critical predictor for RD risk. Conclusion: Findings suggest that RF does not outperform LR in RD prediction accuracy in models with multiple linearly related predictors. Findings also highlight including reading fluency in early identification batteries for later RD determination.

Exploring Genetic and Neural Risk of Specific Reading Disability within a Nuclear Twin Family Case Study: A Translational Clinical Application.

Imaging and genetic studies have characterized biological risk factors contributing to specific reading disability (SRD). The current study aimed to apply this literature to a family of twins discordant for SRD and an older sibling with reading difficulty. Intraclass correlations were used to understand the similarity of imaging phenotypes between pairs. Reading-related genes and brain region phenotypes, including asymmetry indices representing the relative size of left compared to right hemispheric structures, were descriptively examined. SNPs that corresponded between the SRD siblings and not the typically developing (TD) siblings were in genes ZNF385D, LPHN3, CNTNAP2, FGF18, NOP9, CMIP, MYO18B, and RBFOX2. Imaging phenotypes were similar among all sibling pairs for grey matter volume and surface area, but cortical thickness in reading-related regions of interest (ROIs) was more similar among the siblings with SRD, followed by the twins, and then the TD twin and older siblings, suggesting cortical thickness may differentiate risk for this family. The siblings with SRD had more symmetry of cortical thickness in the transverse temporal and superior temporal gyri, while the TD sibling had greater rightward asymmetry. The TD sibling had a greater leftward asymmetry of grey matter volume and cortical surface area in the fusiform, supramarginal, and transverse temporal gyrus. This exploratory study demonstrated that reading-related risk factors appeared to correspond with SRD within this family, suggesting that early examination of biological factors may benefit early identification. Future studies may benefit from the use of polygenic risk scores or machine learning to better understand SRD risk.

A network approach to dyslexia: Mapping the reading network.

Research on the etiology of dyslexia typically uses an approach based on a single core deficit, failing to understand how variations in combinations of factors contribute to reading development and how this combination relates to intervention outcome. To fill this gap, this study explored links between 28 cognitive, environmental, and demographic variables related to dyslexia by employing a network analysis using a large clinical database of 1,257 elementary school children. We found two highly connected subparts in the network: one comprising reading fluency and accuracy measures, and one comprising intelligence-related measures. Interestingly, phoneme awareness was functionally related to the controlled and accurate processing of letter-speech sound mappings, whereas rapid automatized naming was more functionally related to the automated convergence of visual and speech information. We found evidence for the contribution of a variety of factors to (a)typical reading development, though associated with different aspects of the reading process. As such, our results contradict prevailing claims that dyslexia is caused by a single core deficit. This study shows how the network approach to psychopathology can be used to study complex interactions within the reading network and discusses future directions for more personalized interventions.

Distinct neural correlates of poor decoding and poor comprehension in children with reading disability.

Reading disability (RD) can manifest itself as a word decoding problem or a reading comprehension problem. In the current study, we identified 3 subtypes of RD: poor decoders (PD), poor comprehenders (PC), and poor-in-both (PB). We found that PD had greater deficits in meta-linguistic skills such as phonological awareness, orthographic skills, and morphological skills than PC, whereas PC had greater deficits in listening comprehension than PD. In the brain, we also found different patterns of deficits during an auditory rhyming judgment task using functional magnetic resonance imaging. PD showed less activation than PC and age controls in the left dorsal inferior frontal gyrus (IFG) and pre-supplementary motor area (SMA), brain activation of which was correlated with phonological awareness and working memory. In contrast, PC showed less activation in the left fusiform gyrus than PD and age controls, which was correlated with reading comprehension fluency and morphological skill. Last, PB showed both PD's and PC's deficits, as well as additional deficits in the bilateral lingual gyri. Our findings contribute to revealing different neural signatures of poor decoding and poor comprehension, which are distinct disorders but co-occur very often. These findings implicate possibility and necessity of precise diagnosis and individualized intervention.

Auditory Cortex Asymmetry Associations with Individual Differences in Language and Cognition.

A longstanding cerebral lateralization hypothesis predicts that disrupted development of typical leftward structural asymmetry of auditory cortex explains why children have problems learning to read. Small sample sizes and small effects, potential sex-specific effects, and associations that are limited to specific dimensions of language are thought to have contributed inconsistent results. The large ABCD study dataset (baseline visit: N = 11,859) was used to test the hypothesis of significant associations between surface area asymmetry of auditory cortex and receptive vocabulary performance across boys and girls, as well as an oral word reading effect that was specific to boys. The results provide modest support (Cohen's d effect sizes ≤ 0.10) for the cerebral lateralization hypothesis.

Goal attainment in individual and group-based neuropsychological interventions for young adults with dyslexia in a randomized controlled trial.

In this study, we investigated the outcome of goal attainment in individual and group-based neuropsychological intervention for young adults with dyslexia. Participants (N = 120) were randomly assigned to individual intervention, group intervention, or wait-list control group. Attainment of goals set personally before the intervention was evaluated after the intervention using Goal Attainment Scaling. The participants were asked to report the number of concrete changes made in their study or working habits at five months (after intervention or wait-list control time), at ten months, and 15 months post-interventions. Potential predictive factors for predicting goal attainment were evaluated including background and cognitive variables, self-reported psychological variables (mood, cognitive and behavioral strategies, self-esteem, quality of life), and self-reported behavioral variables (concrete changes made, time used to work on intervention matters). Based on the results, personal goals were, on average, met especially in individual intervention. Nearly 50% of goal attainment was explained by intervention type, behavioral and cognitive strategies, concrete changes made, cognitive capacity, and used time. Concrete changes, e.g., adopting new strategies and methods in study or working habits, were reported in both interventions and more than during the wait-list control period. The changes seemed long-lasting as fifteen months post-intervention, 76.4% reported still using the learned strategies. A structured and relatively short neuropsychological intervention for dyslexia in either individual or group format can lead to attaining pre-set personal goals and positive behavioral changes that can last up to over a year post-intervention.

The Functional Neuroanatomy of Reading Intervention.

The present article reviews the literature on the brain mechanisms underlying reading improvements following behavioral intervention for reading disability. This includes evidence of neuroplasticity concerning functional brain activation, brain structure, and brain connectivity related to reading intervention. Consequently, the functional neuroanatomy of reading intervention is compared to the existing literature on neurocognitive models and brain abnormalities associated with reading disability. A particular focus is on the left hemisphere reading network including left occipito-temporal, temporo-parietal, and inferior frontal language regions. In addition, potential normalization/compensation mechanisms involving right hemisphere cortical regions, as well as bilateral sub-cortical and cerebellar regions are taken into account. The comparison of the brain systems associated with reading intervention and the brain systems associated with reading disability enhances our understanding of the neurobiological basis of typical and atypical reading development. All in all, however, there is a lack of sufficient evidence regarding rehabilitative brain mechanisms in reading disability, which we discuss in this review.