Socioeconomic status (SES) and cognitive outcomes are predicted by resting-state EEG in school-aged children.

Children's socioeconomic status (SES) is related to patterns of intrinsic resting-state brain function that subserve relevant cognitive processes over the course of development. Although infant research has demonstrated the association between children's environments, cognitive outcomes, and resting-state electroencephalography (rsEEG), it remains unknown how these aspects of their environment, tied to SES, impact neural and cognitive development throughout the school years. To address this gap, we applied a multivariate pattern analysis (MVPA) to rsEEG data to identify which neural frequencies at rest are differentially associated with unique aspects of socioeconomic status (SES; income and maternal education) and cognitive (vocabulary, working memory) outcomes among school-aged children (8-15 years).

Maternal Question Use Relates to Syntactic Skills in 5- to 7-Year-Old Children.

Purpose: This study examined how mothers' question-asking behavior relates to their child's syntactic skills. One important aspect of maternal question-asking behavior is the use of complex questions when speaking with children. These questions can differ based on both their purpose and structure.

Social interactions offset the detrimental effects of digital media use on children's vocabulary.

Young children's rapid vocabulary growth during the first few years is supported by input during social interactions with caregivers and, increasingly, from digital media. However, the amount of exposure to both sources can vary substantially across socioeconomic classes, and little is known about how social interactions and digital media use together predict vocabulary in the first few years of life. The current study takes a first step toward examining whether increased social interactions with other individuals may buffer the potentially detrimental effects of digital media use on language among a socioeconomically diverse sample.

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.

Limited but specific engagement of the mature language network during linguistic statistical learning.

Statistical learning (SL) is the ability to detect and learn regularities from input and is foundational to language acquisition. Despite the dominant role of SL as a theoretical construct for language development, there is a lack of direct evidence supporting the shared neural substrates underlying language processing and SL. It is also not clear whether the similarities, if any, are related to linguistic processing, or statistical regularities in general.

Executive function skills account for a bilingual advantage in English novel word learning among low-income preschoolers.

The current study compared economically disadvantaged bilingual and monolingual preschoolers' performance on an English novel word learning task and examined whether children's executive function (EF) skills account for differences in novel word learning performance across groups. In total, 39 English monolinguals and 35 Spanish-English bilingual preschoolers from low-income homes completed a battery of EF measures and the Quick Interactive Language Screener to gauge English novel word learning ability. Within a poverty context, bilingual preschoolers performed significantly better on measures of English novel word learning as compared with their monolingual peers.

Age and vocabulary knowledge differentially influence the N400 and theta responses during semantic retrieval.

Using electroencephalography (EEG) to study the neural oscillations supporting language development is increasingly common; however, a clear understanding of the relationship between neural oscillations and traditional Event Related Potentials (ERPs) is needed to disentangle how maturation of language-related neural networks supports semantic processing throughout grade school. Theta and the N400 are both thought to index semantic retrieval but, in adults, are only weakly correlated with one another indicating they may measure somewhat unique aspects of retrieval. Here, we studied the relationship between the N400 amplitude and theta power during semantic retrieval with key indicators of language abilities including age, vocabulary, reading comprehension and phonological memory in 226 children ages 8-15 years.

Developmental differences in EEG oscillations supporting the identification of novel word meaning from context.

Implicit learning about new words by picking up on associative information in the contexts they appear in is an important aspect of vocabulary growth. The current study investigated the neural correlates that underlie how school-aged children and adolescents identify the meaning of novel words embedded within sentence contexts. Importantly, we examine how differences in the brain response to novel words and their context differ as a function of 1) explicit learning success, i.

Mapping brain mechanical property maturation from childhood to adulthood.

Magnetic resonance elastography (MRE) is a phase contrast MRI technique which uses external palpation to create maps of brain mechanical properties noninvasively and in vivo. These mechanical properties are sensitive to tissue microstructure and reflect tissue integrity. MRE has been used extensively to study aging and neurodegeneration, and to assess individual cognitive differences in adults, but little is known about mechanical properties of the pediatric brain.

Mechanical Properties of the Developing Brain are Associated with Language Input and Vocabulary Outcome.

The quality of language that children hear in their environment is associated with the development of language-related brain regions, in turn promoting vocabulary knowledge. Although informative, it remains unknown how these environmental influences alter the structure of neural tissue and subsequent vocabulary outcomes. The current study uses magnetic resonance elastography (MRE) to examine how children's language environments underlie brain tissue mechanical properties, characterized as brain tissue stiffness and damping ratio, and promote vocabulary knowledge.

Linking the neural basis of distributional statistical learning with transitional statistical learning: The paradox of attention.

Statistical learning, the process of tracking distributional information and discovering embedded patterns, is traditionally regarded as a form of implicit learning. However, recent studies proposed that both implicit (attention-independent) and explicit (attention-dependent) learning systems are involved in statistical learning. To understand the role of attention in statistical learning, the current study investigates the cortical processing of distributional patterns in speech across local and global contexts.

Temporal and topographical changes in theta power between middle childhood and adolescence during sentence comprehension.

Time frequency analysis of the EEG is increasingly used to study the neural oscillations supporting language comprehension. Although this method holds promise for developmental research, most existing work focuses on adults. Theta power (4-8 Hz) in particular often corresponds to semantic processing of words in isolation and in ongoing text.

An evaluation of manual tidal volume and respiratory rate delivery during simulated resuscitation.

Introduction: Excessive minute ventilation during cardiac arrest may cause lung injury and decrease the effectiveness of cardiopulmonary resuscitation (CPR). However, little is known about how clinicians deliver tidal volumes and respiratory rates during CPR.

Methods: In this cross-sectional study, licensed practitioners attending an American Heart Association (AHA) Advanced Cardiac Life Support (ACLS) course performed CPR and manual ventilation on a high-fidelity simulator during the megacode portion of the course.

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques.

Statistical learning, a fundamental skill to extract regularities in the environment, is often considered a core supporting mechanism of the first language development. While many studies of statistical learning are conducted within a single domain or modality, recent evidence suggests that this skill may differ based on the context in which the stimuli are presented. In addition, few studies investigate learning as it unfolds in real-time, rather focusing on the outcome of learning.

Using the N400 event-related potential to study word learning from context in children from low- and higher-socioeconomic status homes.

Children from low-socioeconomic status (SES) homes have significantly smaller vocabularies than their higher-SES peers, a gap that increases over the course of the school years. One reason for the increase in this vocabulary gap during the school years is that children from low-SES homes learn fewer words from context than their higher-SES peers. To better understand how the process of word learning from context might differ in children related to SES, we investigated changes in the N400 event-related potential (ERP) as children from low- and higher-SES homes learned new words using only the surrounding linguistic context.

Socioeconomic status related differences in resting state EEG activity correspond to differences in vocabulary and working memory in grade school.

There is increasing evidence that children from low income homes exhibit differences in brain, language and cognitive development. To better understand these differences and how they relate to one another, we compared the resting state EEG of forty-five 8-15-year-olds from low-income homes and 45 age and sex matched children from higher income homes who completed a battery of language and cognitive assessments. Children from low income homes performed worse on language tasks and exhibited differences in resting state EEG including more theta and less alpha power.

Developmental differences in the neural correlates supporting semantics and syntax during sentence processing.

School-aged and adolescent children continue to demonstrate improvements in how they integrate and comprehend real-time, auditory language over this developmental time period, which can have important implications for academic and social success. To better understand developmental changes in the neural processes engaged during language comprehension in this age group, we use electroencephalography to investigate how 8-9 year old, 12-13 year olds, and adults process semantics and syntax in naturally paced, auditory sentences. Participants listened to semantically and syntactically correct and incorrect sentences and were asked to complete an acceptability judgment task.

Developmental differences in the neural oscillations underlying auditory sentence processing in children and adults.

Although very young children seem to process ongoing language quickly and effortlessly, neuroimaging and behavioral studies reveal that children continue to mature in their language skills through adolescence. During this prolonged development, children likely engage the same basic cognitive processes and neural mechanisms to perform language tasks as adults, but in somewhat different ways. In this study we used time frequency analysis of EEG to identify developmental differences in the engagement of neural oscillations between children (ages 10-12) and adults while listening to naturally-paced sentences.

Identifying the relationship between oscillatory dynamics and event-related responses.

Event related potentials (ERPs) and time frequency analysis of the EEG can identify the temporally distinct coordination of groups of neurons across brain regions during sentence processing. Although there are strong arguments that ERP components and neural oscillations are driven by the same changes in the neural signal, others argue that the lack of clear associations between the two suggests oscillatory dynamics are more than just time frequency representations of ERP components, making it unclear how the two are related. The current study seeks to examine the neural activity underlying auditory sentence processing of both semantic and syntactic errors to clarify if ERP and time frequency analyses identify the same or unique neural responses.

Vocabulary knowledge mediates the link between socioeconomic status and word learning in grade school.

The relationship between children's slow vocabulary growth and the family's low socioeconomic status (SES) has been well documented. However, previous studies have often focused on infants or preschoolers and primarily used static measures of vocabulary at multiple time points. To date, there is no research investigating whether SES predicts a child's word learning abilities in grade school and, if so, what mediates this relationship.

Theta and Alpha Alterations in Amnestic Mild Cognitive Impairment in Semantic Go/NoGo Tasks.

Growing evidence suggests that cognitive control processes are impaired in amnestic mild cognitive impairment (aMCI); however the nature of these alterations needs further examination. The current study examined differences in electroencephalographic theta and alpha power related to cognitive control processes involving response execution and response inhibition in 22 individuals with aMCI and 22 age-, sex-, and education-matched cognitively normal controls. Two Go/NoGo tasks involving semantic categorization were used.

Developmental differences in beta and theta power during sentence processing.

Although very young children process ongoing language quickly and effortlessly, research indicates that they continue to improve and mature in their language skills through adolescence. This prolonged development may be related to differing engagement of semantic and syntactic processes. This study used event related potentials and time frequency analysis of EEG to identify developmental differences in neural engagement as children (ages 10-12) and adults performed an auditory verb agreement grammaticality judgment task.

Dual sensory impairment and hearing aid use among clients attending low-vision services in Australia: the vision-hearing project.

Objective: To report the frequency of hearing impairment among vision rehabilitation clients, and to identify patterns of hearing service and aid use.

Method: In the Vision-Hearing Project, 300 participants (65+ years) completed interviews and a hearing test at low-vision clinics. Visual impairment was defined as visual acuity <20/40 (better eye) wearing glasses if owned, and hearing impairment as average pure-tone air conduction threshold >25 dB hearing level (HL) over four frequencies (500, 1000, 2000, 4000 Hz, better ear).

Dual sensory impairment in older age.

Objective: Hearing and visual impairments are commonly viewed separately in research and service provision, but they often occur together as dual sensory impairment or DSI in older populations. This article examines the frequency and effects of DSI in older age and notes limitations in the evidence.

Methods: Search of electronic databases of published papers.

Role of general practitioners in managing age-related hearing loss.

Objective: To assess the extent to which general practitioners in Australia are engaged in identifying age-related hearing loss and facilitating its management.

Design, Setting And Participants: Cross-sectional analysis of data collected between 1998 and 2000 from the Blue Mountains Hearing Study (BMHS), a representative population-based cohort of people aged >or= 50 years in two postcode areas west of Sydney. Also analysed were data collected between 2003 and 2008 from random samples of Australian GPs who participated in the Bettering the Evaluation and Care of Health (BEACH) study, a national continuous cross-sectional survey of GP activity.