Expressive and receptive language skills in preschool children from a socially disadvantaged area

Deep reasoning neural network analysis to predict language deficits from psychometry-driven DWI connectome of young children with persistent language concerns

This study investigated whether current state-of-the-art deep reasoning network analysis on psychometry-driven diffusion tractography connectome can accurately predict expressive and receptive language scores in a cohort of young children with persistent language concerns (n = 31, age: 4.25 ± 2.38 years). A dilated convolutional neural network combined with a relational network (dilated CNN + RN) was trained to reason the nonlinear relationship between "dilated CNN features of language network" and "clinically acquired language score". Three-fold cross-validation was then used to compare the Pearson correlation and mean absolute error (MAE) between dilated CNN + RN-predicted and actual language scores. The dilated CNN + RN outperformed other methods providing the most significant correlation between predicted and actual scores (i.e., Pearson's R/p-value: 1.00/<.001 and .99/<.001 for expressive and receptive language scores, respectively) and yielding MAE: 0.28 and 0.28 for the same scores. The strength of the relationship suggests elevated probability in the prediction of both expressive and receptive language scores (i.e., 1.00 and 1.00, respectively). Specifically, sparse connectivity not only within the right precentral gyrus but also involving the right caudate had the strongest relationship between deficit in both the expressive and receptive language domains. Subsequent subgroup analyses inferred that the effectiveness of the dilated CNN + RN-based prediction of language score(s) was independent of time interval (between MRI and language assessment) and age of MRI, suggesting that the dilated CNN + RN using psychometry-driven diffusion tractography connectome may be useful for prediction of the presence of language disorder, and possibly provide a better understanding of the neurological mechanisms of language deficits in young children.

Psychosocial deprivation and receptive language ability: a two-sample study

Background

The quality of early caregiving experiences is a known contributor to the quality of the language experiences young children receive. What is unknown is whether, and if so, how psychosocial deprivation early in life is associated with long-lasting receptive language outcomes.

Methods

Two prospective longitudinal studies examining early psychosocial deprivation/neglect in different contexts (i.e., deprivation due to institutional care or deprivation experienced by children residing within US families) and receptive language as assessed via the Peabody Picture Vocabulary Test (PPVT) were used to assess the magnitude of these associations. First, 129 participants from the Bucharest Early Intervention Project, a randomized controlled trial of foster care as an alternative to institutional care in Romania, completed a receptive language assessment at age 18 years. Second, from the USA, 3342 participants from the Fragile Families and Child Wellbeing Study were assessed from infancy until middle childhood.

Results

Children exposed to early institutional care, on average, had lower receptive language scores than their never institutionalized counterparts in late adolescence. While randomization to an early foster care intervention had no long-lasting association with PPVT scores, the duration of childhood exposure to institutional care was negatively associated with receptive language. Psychosocial deprivation in US families was also negatively associated with receptive language longitudinally, and this association remained statistically significant even after accounting for measures of socioeconomic status.

Conclusion

Experiences of psychosocial deprivation may have long-lasting consequences for receptive language ability, extending to age 18 years. Psychosocial deprivation is an important prospective predictor of poorer receptive language.

Trial registration

Bucharest Early Intervention Project ClinicalTrials.gov Identifier: NCT00747396

Concurrent associations between maternal behaviours and infant communication within a cohort of women and their infants experiencing adversity

PURPOSE

Evidence suggests that children living in adversity are at greater risk of poorer language than their peers with the quality of parental interactions potentially mediating this association. Studies typically measure the mediatory impact of generic interaction styles making it difficult to discern which particular aspects of the interaction are facilitating language. This study aims to bridge this gap by identifying specific maternal behaviours associated with concurrent infant communication, in a cohort of 12-month old infants and their mothers experiencing adversity.

METHOD

A total of 249 mother-infant free-play videos were collected from women experiencing adversity in Victoria and Tasmania, Australia. From those videos, specific maternal behaviours, infant communication acts and the interaction quality were coded.

RESULT

Maternal verbal imitations uniquely predicted concurrent use of infant vocalisations, total words and unique words. Furthermore, the more fluent and connected the mother-infant dyad, the stronger the association between imitations and all three infant measures.

CONCLUSION

Frequent use of maternal imitations, within highly connected mother-infant dyads, may help mediate the impact of adversity on early communication. This information is important for early years professionals working with at-risk populations in augmenting current knowledge of risk and protective factors related to early language.