Inter-subject correlation during long narratives reveals widespread neural correlates of reading ability.

Recent work using fMRI inter-subject correlation analysis has provided new information about the brain's response to video and audio narratives, particularly in frontal regions not typically activated by single words. This approach is very well suited to the study of reading, where narrative is central to natural experience. But since past reading paradigms have primarily presented single words or phrases, the influence of narrative on semantic processing in the brain - and how that influence might change with reading ability - remains largely unexplored. In this study, we presented coherent stories to adolescents and young adults with a wide range of reading abilities. The stories were presented in alternating visual and auditory blocks. We used a dimensional inter-subject correlation analysis to identify regions in which better and worse readers had varying levels of consistency with other readers. This analysis identified a widespread set of brain regions in which activity timecourses were more similar among better readers than among worse readers. These differences were not detected with standard block activation analyses. Worse readers had higher correlation with better readers than with other worse readers, suggesting that the worse readers had "idiosyncratic" responses rather than using a single compensatory mechanism. Close inspection confirmed that these differences were not explained by differences in IQ or motion. These results suggest an expansion of the current view of where and how reading ability is reflected in the brain, and in doing so, they establish inter-subject correlation as a sensitive tool for future studies of reading disorders.

Widespread effects of dMRI data quality on diffusion measures in children.

Diffusion magnetic resonance imaging (dMRI) datasets are susceptible to several confounding factors related to data quality, which is especially true in studies involving young children. With the recent trend of large-scale multicenter studies, it is more critical to be aware of the varied impacts of data quality on measures of interest. Here, we investigated data quality and its effect on different diffusion measures using a multicenter dataset. dMRI data were obtained from 691 participants (5-17 years of age) from six different centers. Six data quality metrics-contrast to noise ratio, outlier slices, and motion (absolute, relative, translation, and rotational)-and four diffusion measures-fractional anisotropy, mean diffusivity, tract density, and length-were computed for each of 36 major fiber tracts for all participants. The results indicated that four out of six data quality metrics (all except absolute and translation motion) differed significantly between centers. Associations between these data quality metrics and the diffusion measures differed significantly across the tracts and centers. Moreover, these effects remained significant after applying recently proposed harmonization algorithms that purport to remove unwanted between-site variation in diffusion data. These results demonstrate the widespread impact of dMRI data quality on diffusion measures. These tracts and measures have been routinely associated with individual differences as well as group-wide differences between neurotypical populations and individuals with neurological or developmental disorders. Accordingly, for analyses of individual differences or group effects (particularly in multisite dataset), we encourage the inclusion of data quality metrics in dMRI analysis.

Neurite density and arborization is associated with reading skill and phonological processing in children.

BACKGROUND: Studies exploring neuroanatomic correlates of reading have associated white matter tissue properties with reading disability and related componential skills (e.g., phonological and single-word reading skills). Mean diffusivity (MD) and fractional anisotropy (FA) are widely used surrogate measures of tissue microstructure with high sensitivity; however, they lack specificity for individual microstructural features. Here we investigated neurite features with higher specificity in order to explore the underlying microstructural architecture. METHODS: Diffusion weighted images (DWI) and a battery of behavioral and neuropsychological assessments were obtained from 412 children (6 - 16 years of age). Neurite indices influenced by orientation and density were attained from 23 major white matter tracts. Partial correlations were calculated between neurite indices and indicators of phonological processing and single-word reading skills using age, sex, and image quality metrics as covariates. In addition, mediation analysis was performed using structural equation modeling (SEM) to evaluate the indirect effect of phonological processing on reading skills. RESULTS: We observed that orientation dispersion index (ODI) and neurite density index (NDI) were negatively correlated with single-word reading and phonological processing skills in several tracts previously shown to have structural correlates with reading efficiency. We also observed a significant and substantial effect in which phonological processing mediated the relationship between neurite indices and reading skills in most tracts. CONCLUSIONS: In sum, we established that better reading and phonological processing skills are associated with greater tract coherence (lower ODI) and lower neurite density (lower NDI). We interpret these findings as evidence that reading is associated with neural architecture and its efficiency.

Functional connectivity in the developing language network in 4-year-old children predicts future reading ability.

Understanding how pre-literate children's language abilities and neural function relate to future reading ability is important for identifying children who may be at-risk for reading problems. Pre-literate children are already proficient users of spoken language and their developing brain networks for language become highly overlapping with brain networks that emerge during literacy acquisition. In the present longitudinal study, we examined language abilities, and neural activation and connectivity within the language network in pre-literate children (mean age = 4.2 years). We tested how language abilities, brain activation, and connectivity predict children's reading abilities 1 year later (mean age = 5.2 years). At Time 1, children (n = 37) participated in a functional near infrared spectroscopy (fNIRS) experiment of speech processing (listening to words and pseudowords) and completed a standardized battery of language and cognitive assessments. At Time 2, children (n = 28) completed standardized reading assessments. Using psychophysiological interaction (PPI) analyses, we observed significant connectivity between the left IFG and right STG in pre-literate children, which was modulated by task (i.e., listening to words). Neural activation in left IFG and STG and increased task-modulated connectivity between the left IFG and right STG was predictive of multiple reading outcomes. Increased connectivity was associated later with increased reading ability.

Is that a pibu or a pibo? Children with reading and language deficits show difficulties in learning and overnight consolidation of phonologically similar pseudowords.

Word learning is critical for the development of reading and language comprehension skills. Although previous studies have indicated that word learning is compromised in children with reading disability (RD) or developmental language disorder (DLD), it is less clear how word learning difficulties manifest in children with comorbid RD and DLD. Furthermore, it is unclear whether word learning deficits in RD or DLD include difficulties with offline consolidation of newly learned words. In the current study, we employed an artificial lexicon learning paradigm with an overnight design to investigate how typically developing (TD) children (N = 25), children with only RD (N = 93), and children with both RD and DLD (N = 34) learned and remembered a set of phonologically similar pseudowords. Results showed that compared to TD children, children with RD exhibited: (i) slower growth in discrimination accuracy for cohort item pairs sharing an onset (e.g. pibu-pibo), but not for rhyming item pairs (e.g. pibu-dibu); and (ii) lower discrimination accuracy for both cohort and rhyme item pairs on Day 2, even when accounting for differences in Day 1 learning. Moreover, children with comorbid RD and DLD showed learning and retention deficits that extended to unrelated item pairs that were phonologically dissimilar (e.g. pibu-tupa), suggestive of broader impairments compared to children with only RD. These findings provide insights into the specific learning deficits underlying RD and DLD and motivate future research concerning how children use phonological similarity to guide the organization of new word knowledge.

Gray Matter Structure Is Associated with Reading Skill in Typically Developing Young Readers.

Research using functional and structural magnetic resonance imaging has identified areas of reduced brain activation and gray matter volume in children and adults with reading disability, but associations between cortical structure and individual differences in reading in typically developing children remain underexplored. Furthermore, the majority of research linking gray matter structure to reading ability quantifies gray matter in terms of volume, and cannot specify unique contributions of cortical surface area and thickness to these relationships. Here, we applied a continuous analytic approach to investigate associations between distinct surface-based properties of cortical structure and individual differences in reading-related skills in a sample of typically developing young children. Correlations between cortical structure and reading-related skills were conducted using a surface-based vertex-wise approach. Cortical thickness in the left superior temporal cortex was positively correlated with word and pseudoword reading performance. The observed positive correlation between cortical thickness in the left superior temporal cortex and reading may have implications for the patterns of brain activation that support reading.

Substance use and mothers' neural responses to infant cues.

Substance use may influence mothers' responsiveness to their infants and negatively impact the parent-infant relationship. Maternal substance use may co-opt neural circuitry involved in caregiving, thus reducing the salience of infant cues and diminishing the sense of reward experienced by caring for infants. Gaps in understanding exist with regard to the mechanisms by which substance use operates to influence mothers' processing of infant cues and how this translates to caregiving. Therefore, we examined how substance use might relate to maternal neural responses to infant cues using event-related potentials (ERPs). Substance-using (n = 29) and nonsubstance-using (n = 29) mothers viewed photographs of infant faces and heard recordings of infant vocalizations while electroencephalography was recorded simultaneously. Three specific ERP components were used to examine initial processing of infant faces (N170) and cries (N100), and attentional allocation to infant faces and cries (P300). Substance-using mothers did not discriminate facial affect at early encoding stages (N170), were generally slower to orient to infant cries (N100), showed heightened responses to neutral faces (P300), and failed to adaptively differentiate between high-distress versus low-distress cries (P300). These differences may be important to caregiving behaviors associated with the formation of mother-child attachment. Implications are discussed, as are limitations and future directions.

Cohesion of Cortical Language Networks During Word Processing Is Predicted by a Common Polymorphism in the SETBP1 Gene.

The etiological mechanisms of the genetic underpinnings of developmental language disorder (DLD) are unknown, in part due to the behavioral heterogeneity of the disorder's manifestations. In this study, we explored an association between the SETBP1 gene (18q21.1), revealed in a genome-wide association study of DLD in a geographically isolated population, and brain network-based endophenotypes of functional intracortical coherence between major language-related brain areas. We analyzed electroencephalogram (EEG) data from thirty-nine children (twenty-three with, sixteen without DLD) aged 7.17-15.83 years acquired during an auditory picture-word matching paradigm. Variation at a single nucleotide polymorphism in the intronic region of the SETBP1 gene, rs8085464, explained 19% of the variance in intracortical network cohesion (p = .00478). This suggests that the development of these brain networks might be partially associated with the variation in SETBP1.

Manifesto for new directions in developmental science.

Although developmental science has always been evolving, these times of fast-paced and profound social and scientific changes easily lead to disorienting fragmentation rather than coherent scientific advances. What directions should developmental science pursue to meaningfully address real-world problems that impact human development throughout the lifespan? What conceptual or policy shifts are needed to steer the field in these directions? The present manifesto is proposed by a group of scholars from various disciplines and perspectives within developmental science to spark conversations and action plans in response to these questions. After highlighting four critical content domains that merit concentrated and often urgent research efforts, two issues regarding "how" we do developmental science and "what for" are outlined. This manifesto concludes with five proposals, calling for integrative, inclusive, transdisciplinary, transparent, and actionable developmental science. Specific recommendations, prospects, pitfalls, and challenges to reach this goal are discussed.

Individual Differences in Reading Skill Are Related to Trial-by-Trial Neural Activation Variability in the Reading Network.

Recent work has suggested that variability in levels of neural activation may be related to behavioral and cognitive performance across a number of domains and may offer information that is not captured by more traditional measures that use the average level of brain activation. We examined the relationship between reading skill in school-aged children and neural activation variability during a functional MRI reading task after taking into account average levels of activity. The reading task involved matching printed and spoken words to pictures of items. Single trial activation estimates were used to calculate the mean and standard deviation of children's responses to print and speech stimuli; multiple regression analyses evaluated the relationship between reading skill and trial-by-trial activation variability. The reliability of observed findings from the discovery sample (n = 44; ages 8-11; 18 female) was then confirmed in an independent sample of children (n = 32; ages 8-11; 14 female). Across the two samples, reading skill was positively related to trial-by-trial variability in the activation response to print in the left inferior frontal gyrus pars triangularis. This relationship held even when accounting for mean levels of activation. This finding suggests that intrasubject variability in trial-by-trial fMRI activation responses to printed words accounts for individual differences in human reading ability that are not fully captured by traditional mean levels of brain activity. Furthermore, this positive relationship between trial-by-trial activation variability and reading skill may provide evidence that neural variability plays a beneficial role during early reading development.SIGNIFICANCE STATEMENT Recent work has suggested that neural activation variability, or moment-to-moment changes in the engagement of brain regions, is related to individual differences in behavioral and cognitive performance across multiple domains. However, differences in neural activation variability have not yet been evaluated in relation to reading skill. In the current study, we analyzed data from two independent groups of children who performed an fMRI task involving reading and listening to words. Across both samples, reading skill was positively related to trial-by-trial variability in activation to print stimuli in the left inferior frontal gyrus pars triangularis, even when accounting for the more conventional measure of mean levels of brain activity. This finding suggests that neural variability could be beneficial in developing readers.

Category learning in Poor Comprehenders.

Poor comprehenders (PCs) are characterized by poor reading comprehension despite intact decoding and general cognitive ability. Poor word meaning knowledge is one of the earliest deficits associated with a PC profile. We examined processes underpinning word learning in PCs using a category learning paradigm. Adolescent participants (20 TD, 19 PC, ages 13-18) learned novel categories with two key manipulations: information type (verbal vs. nonverbal) and training type (directed vs. undirected). We found that PCs showed more benefit from directed training than TD individuals overall; however, both groups performed similarly when receiving directed blocks first. Moreover, when undirected training was received first, TD individuals showed better performance in directed as compared to undirected blocks, whereas PCs who receive undirected training first showed no significant difference between training types. Our investigation indicates that PCs may have different strategies for learning, especially when their attention is not externally directed towards relevant features.

Common neural basis of motor sequence learning and word recognition and its relation with individual differences in reading skill.

To investigate the neural basis of a common statistical learning mechanism involved in motor sequence learning and decoding, we recorded same participants' brain activation in a serial reaction time (SRT) and word reading task using functional magnetic resonance imaging. In the SRT, a manual response was made depending on the location of a visual cue, and the order of the locations was either fixed or random. In the word reading task, visual words were passively presented. Compared to less skilled readers, more skilled readers showed greater differences in activation in the inferior frontal gyrus pars triangularis (IFGpTr) and the insula between the ordered and random condition in the SRT task and greater activation in those regions in the word reading task. It suggests that extraction of statistically predictable patterns in the IFGpTr and insula contributes to both motor sequence learning and orthographic learning, and therefore predicts individual differences in decoding skill.

Linking Behavioral and Computational Approaches to Better Understand Variant Vowel Pronunciations in Developing Readers.

The overarching goal of the new Florida State University/Haskins Laboratory/University of Connecticut Learning Disability (LD) Hub project is to align computational and behavioral theories of individual word reading development more closely with the challenges of learning to read a quasi-regular orthography (i.e., English) for both typically developing (TD) children and, more specifically, children with dyslexia. Our LD Hub adopts an integrated approach to better understand the neurocognitive bases of individual differences in word reading development by specifically examining the experiential (exogenous) and child-specific (endogenous) factors that determine acquisition of orthographic-phonological knowledge at different subword granularities using behavioral and computational modeling. Findings are intended to enrich understanding of the processes that influence individual differences in word reading development in TD and dyslexic children and significantly inform issues of practice (e.g., curriculum, instruction, diagnosis, and intervention). Here, we briefly provide the rationale for the Hub and present findings from the initial behavioral and computational modeling studies.

Normalization of Speech Processing After Whole-Vault Cranioplasty in Sagittal Synostosis.

BACKGROUND: Neurocognitive studies have found impairments in language-related abilities in nonsyndromic craniosynostosis, highlighting clinical importance of early language processing. In this study, neural response to speech sounds in infants with nonsyndromic sagittal craniosynostosis (NSC) is compared, preoperatively and postoperatively, using event-related potentials (ERPs) to objectively characterize development in language processing. METHODS: Electroencephalogram was recorded while 39 infants (12 NSC and 27 controls; ages 73-283 days) listened to the Hindi dental /(Equation is included in full-text article.)a/ and retroflex /da/ phonemes (non-native phonemic discrimination task). The mismatch negativity (MMN) ERP was extracted as the peak amplitude of the largest negative deflection in the difference wave over 80 to 300 milliseconds poststimulus. Differences in MMN were analyzed using repeated measures analysis of variance. RESULTS: The MMN amplitude was attenuated in the infants with NSC preoperatively compared with controls (P = 0.047). A significant region by group interaction (P = 0.045) was observed, and infants with NSC displayed attenuated MMN in the frontal electrodes compared with controls (P = 0.010). Comparing the preoperative and postoperative MMN, a time by group interaction trend (P = 0.070) was observed. Pair-wise comparisons showed a trend for increase in MMN amplitude from preoperatively to postoperatively in the infants with NSC (P = 0.059). At the postoperative time point, infants with NSC showed no significant difference in MMN from controls (P = 0.344). CONCLUSION: Infants with NSC demonstrated atypical neural response to language preoperatively. After undergoing surgery, infants with NSC showed increased MMN amplitude which was not significantly different from controls. These findings support the idea that whole vault cranioplasty may improve neurocognitive outcomes in sagittal craniosynostosis.

Global Approaches to Early Learning Research and Practice: Integrative Commentary.

This commentary presents highlights from the seven articles in this volume, along with a synthesis of take-home points that can be used to inform policy and practice. Across each article there is a story of both successes and the challenges of ongoing work that seeks to enhance children's development in diverse and challenging environments across the globe. Although the topics covered in this volume range from development of early self-regulation and executive function to the use of technology to aid literacy acquisition in remote areas, each points to the need for systems-level coordination and sustained commitment to reach children at risk.

Print-Speech Convergence Predicts Future Reading Outcomes in Early Readers.

Becoming a skilled reader requires building a functional neurocircuitry for printed-language processing that integrates with spoken-language-processing networks. In this longitudinal study, functional MRI (fMRI) was used to examine convergent activation for printed and spoken language (print-speech coactivation) in selected regions implicated in printed-language processing (the reading network). We found that print-speech coactivation across the left-hemisphere reading network in beginning readers predicted reading achievement 2 years later beyond the effects of brain activity for either modality alone; moreover, coactivation effects accounted for variance in later reading after controlling for initial reading performance. Within the reading network, effects of coactivation were significant in bilateral inferior frontal gyrus (IFG) and left inferior parietal cortex and fusiform gyrus. The contribution of left and right IFG differed, with more coactivation in left IFG predicting better achievement but more coactivation in right IFG predicting poorer achievement. Findings point to the centrality of print-speech convergence in building an efficient reading circuitry in children.

Glutamate and choline levels predict individual differences in reading ability in emergent readers.

Reading disability is a brain-based difficulty in acquiring fluent reading skills that affects significant numbers of children. Although neuroanatomical and neurofunctional networks involved in typical and atypical reading are increasingly well characterized, the underlying neurochemical bases of individual differences in reading development are virtually unknown. The current study is the first to examine neurochemistry in children during the critical period in which the neurocircuits that support skilled reading are still developing. In a longitudinal pediatric sample of emergent readers whose reading indicators range on a continuum from impaired to superior, we examined the relationship between individual differences in reading and reading-related skills and concentrations of neurometabolites measured using magnetic resonance spectroscopy. Both continuous and group analyses revealed that choline and glutamate concentrations were negatively correlated with reading and related linguistic measures in phonology and vocabulary (such that higher concentrations were associated with poorer performance). Correlations with behavioral scores obtained 24 months later reveal stability for the relationship between glutamate and reading performance. Implications for neurodevelopmental models of reading and reading disability are discussed, including possible links of choline and glutamate to white matter anomalies and hyperexcitability. These findings point to new directions for research on gene-brain-behavior pathways in human studies of reading disability.

Lexical processing deficits in children with developmental language disorder: An event-related potentials study.

Lexical processing deficits in children with developmental language disorder (DLD) have been postulated to arise as sequelae of their grammatical deficits (either directly or via compensatory mechanisms) and vice versa. We examined event-related potential indices of lexical processing in children with DLD (n = 23) and their typically developing peers (n = 16) using a picture-word matching paradigm. We found that children with DLD showed markedly reduced N400 amplitudes in response both to auditorily presented words that had initial phonological overlap with the name of the pictured object and to words that were not semantically or phonologically related to the pictured object. Moreover, this reduction was related to behavioral indices of phonological and lexical but not grammatical development. We also found that children with DLD showed a depressed phonological mapping negativity component in the early time window, suggesting deficits in phonological processing or early lexical access. The results are partially consistent with the overactivation account of lexical processing deficits in DLD and point to the relative functional independence of lexical/phonological and grammatical deficits in DLD, supporting a multidimensional view of the disorder. The results also, although indirectly, support the neuroplasticity account of DLD, according to which language impairment affects brain development and shapes the specific patterns of brain responses to language stimuli.

Direct brain recordings reveal impaired neural function in infants with single-suture craniosynostosis: a future modality for guiding management?

BACKGROUND: Patients with single-suture craniosynostosis (SSC) are at an elevated risk for long-term learning disabilities. Such adverse outcomes indicate that the early development of neural processing in SSC may be abnormal. At present, however, the precise functional derangements of the developing brain remain largely unknown. Event-related potentials (ERPs) are a form of noninvasive neuroimaging that provide direct measurements of cortical activity and have shown value in predicting long-term cognitive functioning. The current study used ERPs to examine auditory processing in infants with SSC to help clarify the developmental onset of delays in this population. METHODS: Fifteen infants with untreated SSC and 23 typically developing controls were evaluated. ERPs were recorded during the presentation of speech sounds. Analyses focused on the P150 and N450 components of auditory processing. RESULTS: Infants with SSC demonstrated attenuated P150 amplitudes relative to typically developing controls. No differences in the N450 component were identified between untreated SSC and controls. CONCLUSIONS: Infants with untreated SSC demonstrate abnormal speech sound processing. Atypicalities are detectable as early as 6 months of age and may represent precursors to long-term language delay. Electrophysiological assessments provide a precise examination of neural processing in SSC and hold potential as a future modality to examine the effects of surgical treatment on brain development.

Neural correlates of language and non-language visuospatial processing in adolescents with reading disability.

Despite anecdotal evidence of relative visuospatial processing strengths in individuals with reading disability (RD), only a few studies have assessed the presence or the extent of these putative strengths. The current study examined the cognitive and neural bases of visuospatial processing abilities in adolescents with RD relative to typically developing (TD) peers. Using both cognitive tasks and functional magnetic resonance imaging (fMRI) we contrasted printed word recognition with non-language visuospatial processing tasks. Behaviorally, lower reading skill was related to a visuospatial processing advantage (shorter latencies and equivalent accuracy) on a geometric figure processing task, similar to findings shown in two published studies. FMRI analyses revealed key group by task interactions in patterns of cortical and subcortical activation, particularly in frontostriatal networks, and in the distributions of right and left hemisphere activation on the two tasks. The results are discussed in terms of a possible neural tradeoff in visuospatial processing in RD.