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High-quality communicative interactions between caregivers and children provide a foundation for children's social and cognitive skills. Although most studies examining these types of interactions focus on child language outcomes, this paper takes another tack. It examines whether communicative, dyadic interactions might also relate to child executive function (EF) skills and whether child language might mediate this relation. Using a subset of data from the NICHD Study of Early Child Care and Youth Development, dyadic interactions between 2-year-olds and their mothers were coded for three behaviors: symbol-infused joint engagement, routines and rituals, and fluency and connectedness. Child language was assessed at age 3 and three facets of EF (self-regulation, sustained attention, and verbal working memory) were assessed at age 4.5. Structural equation modeling showed that dyadic interaction related to later child sustained attention and verbal working memory, indirectly through child language and directly related with child self-regulation. This suggests that communicative interactions with caregivers that include both verbal and non-verbal elements relate to child EF, in part through child language. Our findings have implications for the role of caregiver interactions in the development of language and cognitive skills more broadly. RESEARCH HIGHLIGHTS: Using structural equation modeling, we examined how communicative interactions between caregivers and toddlers relate to preschool executive function skills Communicative interactions relate to later language which in turn relates to sustained attention and verbal working memory in preschool Communicative interactions relate directly to self-regulation in preschool Associations between communicative interactions, language, and executive function vary across facets of executive function and may not be unidirectional.

Infants from low-socioeconomic status (SES) households hear a projected 30 million fewer words than their higher-SES peers. In a recent study, Hirsh-Pasek et al. (Psychological Science, 2015; 26: 1071) found that in a low-income sample, fluency and connectedness in exchanges between caregivers and toddlers predicted child language a year later over and above quantity of talk (Hirsh-Pasek et al., Psychological Science, 2015; 26: 1071). Here, we expand upon this study by examining fluency and connectedness in two higher-SES samples. Using data from the NICHD Study of Early Child Care and Youth Development, we sampled 20 toddlers who had low, average, and high language outcomes at 36 months from each of 2 groups based on income-to-needs ratio (INR; middle and high) and applied new coding to the mother-toddler interaction at 24 months. In the high-INR group, the quality of mother-toddler interaction at 24 months accounted for more variability in language outcomes a year later than did quantity of talk, quality of talk, or sensitive parenting. These results could not be accounted for by child language ability at 24 months. These effects were not found in the middle-INR sample. Our findings suggest that when the quality of interaction, fluency and connectedness, predicts language outcomes, it is a robust relation, but it may not be universal.

Contingent interactions between caregivers and infants, in which caregivers respond promptly and meaningfully to infants’ behaviors, lay a foundation for language learning. Three pathways have been proposed for how contingent interactions promote the development of language skills: temporal, semantic, and pragmatic. Here, we argue that these pathways act through a reciprocal relation between infant attention and contingent interactions. We present evidence that attention facilitates contingent interactions to help infants understand communicative intent and, in turn, contingent interactions promote attention to allow infants to better learn from the language directed to them. This new framework suggests that contingent interactions operate through domain-general skills, thereby establishing a foundation for learning more broadly.

The present study investigated the relationship between infant temperament characteristics and autism spectrum disorder (ASD) risk status. Temperament was examined at 6, 12, and 24 months in 282 infants at high familial risk for ASD and 114 low-risk controls using the Infant Behavior Questionnaire-Revised and Early Childhood Behavior Questionnaire. Infants were divided into three groups at 24 months: High-Risk Positive-classified as ASD (HR Pos), High-Risk Negative (HR Neg), and Low-Risk Negative (LR Neg). At 6 and 12 months HR Pos infants exhibited lower Surgency and Regulatory Capacity than LR Neg infants. By 12 months they also demonstrated increased Negative Affect. Group differences remained, when early signs of ASD were controlled for, suggesting that temperament differences could be useful targets for understanding the development of ASD.

This chapter reviews several major themes in the neuroimaging of ASDs to date (see summary of representative themes in Table 3.1), including substantial and essential contributions from the modular framework. The chapter begins, however, with a discussion of several challenges related to the diversity of ASDs in terms of factors such as age, level of functioning, and symptom presentation. Progress in the ability to identify more homogenous subgroups, based on targeted phenotypic measures, opens the door to link neuroimaging with genetics findings and also with treatment outcome data. This should lead to better understanding of both the causes of ASDs and the best approaches to intervention. The chapter is divided according to two broad, related themes related to social information processing and cognitive factors in ASDs. Within these themes, the chapter considers evidence from both structural and functional imaging studies as well as relatively newer approaches to connectivity, including diffusion tensor imaging. The primary focus of this chapter is on research utilizing functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Although several early neuroimaging studies utilized positron emission tomography scanning, these studies are rare now and are not addressed in depth. New techniques such as near-infrared spectroscopy suggest tremendous promise for noninvasive imaging of expanded age groups and severity levels of ASDs; however, these studies are also few in number and are touched on only briefly.

Evidence from prospective studies of high-risk infants suggests that early symptoms of autism usually emerge late in the first or early in the second year of life after a period of relatively typical development. The authors prospectively examined white matter fiber tract organization from 6 to 24 months in high-risk infants who developed autism spectrum disorders (ASDs) by 24 months.The participants were 92 high-risk infant siblings from an ongoing imaging study of autism. All participants had diffusion tensor imaging at 6 months and behavioral assessments at 24 months; a majority contributed additional imaging data at 12 and/or 24 months. At 24 months, 28 infants met criteria for ASDs and 64 infants did not. Microstructural properties of white matter fiber tracts reported to be associated with ASDs or related behaviors were characterized by fractional anisotropy and radial and axial diffusivity.The fractional anisotropy trajectories for 12 of 15 fiber tracts differed significantly between the infants who developed ASDs and those who did not. Development for most fiber tracts in the infants with ASDs was characterized by higher fractional anisotropy values at 6 months followed by slower change over time relative to infants without ASDs. Thus, by 24 months of age, those with ASDs had lower values.These results suggest that aberrant development of white matter pathways may precede the manifestation of autistic symptoms in the first year of life. Longitudinal data are critical to characterizing the dynamic age-related brain and behavior changes underlying this neurodevelopmental disorder.