Neural oscillations during predictive sentence processing in young children.

The neural correlates of predictive processing in language, critical for efficient sentence comprehension, is well documented in adults. Specifically, adults exhibit alpha power (9-12 Hz) suppression when processing high versus low predictability sentences. This study explores whether young children exhibit similar neural mechanisms. We analyzed EEG data from 29 children aged 3-5 years listening to sentences of varying predictability. Our results revealed significant neural oscillation differences in the 5-12 Hz range between high and low predictability sentences, similar to adult patterns. Crucially, the degree of these differences correlated with children's language abilities. These findings are the first to demonstrate the neural basis of predictive processing in young children and its association with language development.

The Necessity of Taking Culture and Context into Account When Studying the Relationship between Socioeconomic Status and Brain Development.

Decades of research has revealed a relationship between childhood socioeconomic status (SES) and brain development at the structural and functional levels. Of particular note is the distinction between income and maternal education, two highly correlated factors which seem to influence brain development through distinct pathways. Specifically, while a families' income-to-needs ratio is linked with physiological stress and household chaos, caregiver education influences the day-to-day language environment a child is exposed to. Variability in either one of these environmental experiences is related to subsequent brain development. While this work has the potential to inform public policies in a way that benefits children, it can also oversimplify complex factors, unjustly blame low-SES parents, and perpetuate a harmful deficit perspective. To counteract these shortcomings, researchers must consider sociodemographic differences in the broader cultural context that underlie SES-based differences in brain development. This review aims to address these issues by (a) identifying how sociodemographic mechanisms associated with SES influence the day-to-day experiences of children, in turn, impacting brain development, while (b) considering the broader cultural contexts that may differentially impact this relationship.

Rethinking household size and children's language environment.

The number of U.S. children living in households with extended families has greatly increased in the last 4 decades. This demographic shift calls for a reevaluation of the impact of household size on children's development. Household density (HHD), measured as the ratio of people to bedrooms in a home, has been shown to negatively relate to children's language. Here, we propose that while greater HHD may result in poorer language abilities, more adults in relation to the number of children in the home may have a positive impact on children's language. To test this hypothesis, we studied relations between HHD and adult-to-child ratio with children's vocabulary scores, as well as whether maternal education and household chaos accounted for these associations. Participants included families from a range of socioeconomic and ethnic backgrounds (N = 275; Mage = 10.85; 51% female; 51% Hispanic; annual income range less than $10,000-over $100,000). In general, higher HHD was related to lower child vocabulary scores. Conversely, higher adult-to-child ratio was related to higher child vocabulary and lower household chaos. These patterns were primarily driven by effects in Hispanic families. Our results suggest that a reevaluation of household size is needed, as more adults in the home can be protective for children's language development in larger families, an effect that may vary by culture. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Development of Gamma Oscillation during Sentence Processing in Early Adolescence: Insights into the Maturation of Semantic Processing.

Children's ability to retrieve word meanings and incorporate them into sentences, along with the neural structures that support these skills, continues to evolve throughout adolescence. Theta (4-8 Hz) activity that corresponds to word retrieval in children decreases in power and becomes more localized with age. This bottom-up word retrieval is often paired with changes in gamma (31-70 Hz), which are thought to reflect semantic unification in adults. Here, we studied gamma engagement during sentence processing using EEG time-frequency in children (ages 8-15) to unravel the developmental trajectory of the gamma network during sentence processing. Children heavily rely on semantic integration for sentence comprehension, but as they mature, semantic and syntactic processing units become distinct and localized. We observed a similar developmental shift in gamma oscillation around age 11, with younger groups (8-9 and 10-11) exhibiting broadly distributed gamma activity with higher amplitudes, while older groups (12-13 and 14-15) exhibited smaller and more localized gamma activity, especially over the left central and posterior regions. We interpret these findings as support for the argument that younger children rely more heavily on semantic processes for sentence comprehension than older children. And like adults, semantic processing in children is associated with gamma activity.