Phonological Feature Abstraction Before 6 Months: Amodal Recognition of Place of Articulation Across Multiple Consonants.

The classical view is that perceptual attunement to the native language, which emerges by 6-10 months, developmentally precedes phonological feature abstraction abilities. That assumption is challenged by findings from adults adopted into a new language environment at 3-5 months that imply they had already formed phonological feature abstractions about their birth language prior to 6 months. As phonological feature abstraction had not been directly tested in infants, we examined 4-6-month-olds' amodal abstraction of the labial versus coronal place of articulation distinction between consonants.

Maternal input, not transient elevated depression and anxiety symptoms, predicts 2-year-olds' vocabulary development.

Both the quantity and quality of the maternal language input are important for early language development. However, depression and anxiety can negatively impact mothers' engagement with their infants and their infants' expressive language abilities. Australian mother-infant dyads ( = 30) participated in a longitudinal study examining the effect of maternal language input when infants were 24 and 30 months and maternal depression and anxiety symptoms on vocabulary size.

Shaping linguistic input in parent-infant interactions: The influence of the Infant's temperament.

Parent-infant interactions highlight the role of parental input, considering both the quality, infant-directed speech, and quantity of interactions, adult words and communicative turns, in these interactions. However, communication is bidirectional, yet little is known about the infant's role in these interactions. This study (n = 35 4-month-old infants) explores how infant-directed speech, the number of adult words and turn-taking (both measured by the LENA system) are correlated with infants' temperament.

Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia.

Slow cortical oscillations play a crucial role in processing the speech amplitude envelope, which is perceived atypically by children with developmental dyslexia. Here we use electroencephalography (EEG) recorded during natural speech listening to identify neural processing patterns involving slow oscillations that may characterize children with dyslexia. In a story listening paradigm, we find that atypical power dynamics and phase-amplitude coupling between delta and theta oscillations characterize dyslexic versus other child control groups (typically-developing controls, other language disorder controls).

Leveraging low-cost sensors to predict nitrogen dioxide for epidemiologic exposure assessment.

Background: Statistical models of air pollution enable intra-urban characterization of pollutant concentrations, benefiting exposure assessment for environmental epidemiology. The new generation of low-cost sensors facilitate the deployment of dense monitoring networks and can potentially be used to improve intra-urban models of air pollution.

Objective: Develop and evaluate a spatiotemporal model for nitrogen dioxide (NO) in the Puget Sound region of WA, USA for the Adult Changes in Thought Air Pollution (ACT-AP) study and assess the contribution of low-cost sensor data to the model's performance through cross-validation.