Early cortical surface plasticity relates to basic mathematical learning

Children lay the foundation for later academic achievement by acquiring core mathematical abilities in the first school years. Neural reorganization processes associated with individual differences in early mathematical learning, however, are still poorly understood. To fill this research gap, we followed a sample of 5-6-year-old children longitudinally to the end of second grade in school (age 7–8 years) combining magnetic resonance imaging (MRI) with comprehensive behavioral assessments. We report significant links between the rate of neuroplastic change of cortical surface anatomy, and children's early mathematical skills. In particular, most of the behavioral variance (about 73%) of children's visuospatial abilities was explained by the change in cortical thickness in the right superior parietal cortex. Moreover, half of the behavioral variance (about 55%) of children's arithmetic abilities was explained by the change in cortical folding in the right intraparietal sulcus. Additional associations for arithmetic abilities were found for cortical thickness change of the right temporal lobe, and the left middle occipital gyrus. Visuospatial abilities were related to right precentral and supramarginal thickness, as well as right medial frontal gyrus folding plasticity. These effects were independent of other individual differences in IQ, literacy and maternal education. Our findings highlight the critical role of cortical plasticity during the acquisition of fundamental mathematical abilities

Associated functional network development and language abilities in children

During childhood, the brain is gradually converging to the efficient functional architecture observed in adults. How the brain's functional architecture evolves with age, particularly in young children, is however, not well understood. We examined the functional connectivity of the core language regions, in association with cortical growth and language abilities, in 175 young children in the age range of 4 to 9 years. We analyzed the brain's developmental changes using resting-state functional and T1-weighted structural magnetic resonance imaging data. The results showed increased functional connectivity strength with age between the pars triangularis of the left inferior frontal gyrus and left temporoparietal regions (cohen's d = 0.54, CI: 0.24 - 0.84), associated with children's language abilities. Stronger functional connectivity between bilateral prefrontal and temporoparietal regions was associated with better language abilities regardless of age. In addition, the stronger functional connectivity between the left inferior frontal and temporoparietal regions was associated with larger surface area and thinner cortical thickness in these regions, which in turn was associated with superior language abilities. Thus, using functional and structural brain indices, coupled with behavioral measures, we elucidate the association of functional language network development, language ability, and cortical growth, thereby adding to our understanding of the neural basis of language acquisition in young children

Cooking from cold to hot: goal-directedness in simulation and language

The present study explores the processing of temporal information in event knowledge by focusing on the transition from an earlier, source state to a later, goal state. Participants were presented with an event verb followed by antonymous adjectives or adverbs denoting an earlier state and a later state. The states were presented either chronologically (to cook: cold – hot) or inversely (to cook: hot – cold) with regard to the denoted event. Participants were asked to identify either the earlier or the later state. We found that later states are identified faster and more accurately than earlier states. Later states presented chronologically were identified even more quickly than later states presented inversely. We attribute our results to the fact that directedness towards the goal state is a general principle of cognition which plays a fundamental role in language and in simulation, whereby language processing provides faster and more direct access to goals even than simulation.Peer Reviewe

NRSN1 associated grey matter volume of the visual word form area reveals dyslexia before school

Literacy learning depends on the flexibility of the human brain to reconfigure itself in response to environmental influences. At the same time, literacy and disorders of literacy acquisition are heritable and thus to some degree genetically predetermined. Here we used a multivariate non-parametric genetic model to relate literacy-associated genetic variants to grey and white matter volumes derived by voxel-based morphometry in a cohort of 141 children. Subsequently, a sample of 34 children attending grades 4 to 8, and another sample of 20 children, longitudinally followed from kindergarten to first grade, were classified as dyslexics and controls using linear binary support vector machines. The NRSN1-associated grey matter volume of the 'visual word form area' achieved a classification accuracy of ~ 73% in literacy-experienced students and distinguished between later dyslexic individuals and controls with an accuracy of 75% at kindergarten age

Cortical differences in preliterate children at familiar risk of dyslexia are similar to those observed in dyslexic readers: Letter to the editor

Sir, In their recent report in Brain, Clark et al. (2014) presented cortical thickness data obtained from a cohort of 27 children that were compared longitudinally at three time points (first grade: ages 6–7, third grade: ages 8–9, sixth grade: ages 11–12) categorized as either dyslexic or not according to their reading outcome in sixth grade. Based on their observations, the authors conclude that the neuroanatomical precursors of developmental dyslexia are found predominantly in primary sensory cortices and that structural abnormalities in the reading network only emerge after children have learned how to read and write. This study is indeed invaluable as it follows preliterate children longitudinally until the disorder is diagnosed, providing a unique picture of structural cortical changes in dyslexic and non-dyslexic children during this time. However, there are a number of discrepancies between the presented findings and results from other groups including our own. These differences might be explained by the relatively low statistical power of the analyses carried out by Clark and colleagues. Moreover, because genetic and environmental factors are not included in their analyses, it remains unclear how the data can be integrated into a comprehensive account of developmental dyslexia

Genetic dyslexia risk variant is related to neural connectivity patterns underlying phonological awareness in children

Phonological awareness is the best-validated predictor of reading and spelling skill and therefore highly relevant for developmental dyslexia. Prior imaging genetics studies link several dyslexia risk genes to either brain-functional or brain-structural factors of phonological deficits. However, coherent evidence for genetic associations with both functional and structural neural phenotypes underlying variation in phonological awareness has not yet been provided. Here we demonstrate that rs11100040, a reported modifier of SLC2A3, is related to the functional connectivity of left fronto-temporal phonological processing areas at resting state in a sample of 9- to 12-year-old children. Furthermore, we provide evidence that rs11100040 is related to the fractional anisotropy of the arcuate fasciculus, which forms the structural connection between these areas. This structural connectivity phenotype is associated with phonological awareness, which is in turn associated with the individual retrospective risk scores in an early dyslexia screening as well as to spelling. These results suggest a link between a dyslexia risk genotype and a functional as well as a structural neural phenotype, which is associated with a phonological awareness phenotype. The present study goes beyond previous work by integrating genetic, brain-functional and brain-structural aspects of phonological awareness within a single approach. These combined findings might be another step towards a multimodal biomarker for developmental dyslexia

The emergence of dyslexia in the developing brain

Kuhl U, Neef NE, Kraft I, et al. The emergence of dyslexia in the developing brain. NeuroImage. 2020;211: 116633

Dyslexia risk gene relates to representation of sound in the auditory brainstem

Dyslexia is a reading disorder with strong associations with KIAA0319 and DCDC2. Both genes play a functional role in spike time precision of neurons. Strikingly, poor readers show an imprecise encoding of fast transients of speech in the auditory brainstem. Whether dyslexia risk genes are related to the quality of sound encoding in the auditory brainstem remains to be investigated. Here, we quantified the response consistency of speech-evoked brainstem responses to the acoustically presented syllable [da] in 159 genotyped, literate and preliterate children. When controlling for age, sex, familial risk and intelligence, partial correlation analyses associated a higher dyslexia risk loading with KIAA0319 with noisier responses. In contrast, a higher risk loading with DCDC2 was associated with a trend towards more stable responses. These results suggest that unstable representation of sound, and thus, reduced neural discrimination ability of stop consonants, occurred in genotypes carrying a higher amount of KIAA0319 risk alleles. Current data provide the first evidence that the dyslexia-associated gene KIAA0319 can alter brainstem responses and impair phoneme processing in the auditory brainstem. This brain-gene relationship provides insight into the complex relationships between phenotype and genotype thereby improving the understanding of the dyslexia-inherent complex multifactorial condition