Socioeconomic Factors Account for Variability in Language Skills in Preschoolers with Autism Spectrum Disorders

What role does the environment play in language development? Exploring the associations among socioeconomic status, parent language input, and language skills in school-aged children with autism

Language development in children with autism is influenced by proximal (e.g., parent language input) and distal (e.g., socioeconomic status) environmental constructs. Studies have found that "rich and responsive" parent language input supports autistic children's language development, and recent work has reported positive associations between measures of socioeconomic status (SES) and child language skills. However, little is known about how these proximal and distal environmental constructs interact to shape language development in autism. In a sample of 74 autistic school-aged children, the present study investigated the associations among measures of SES, the quantity and quality of language produced by parents and children during home-based dyadic parent-child interactions, and children's expressive and receptive language skills. Results showed that annual household income was positively associated with parent number of total words (NTW), parent number of different words (NDW), and parent mean length of utterance (MLU), while neither parent education level nor annual household income were significantly associated with measures of child language skills. Parent MLU was positively associated with child MLU and child expressive language skills. Findings suggest that annual household income may influence both the quantity and quality of parent language input, and that parent MLU, a qualitative measure of parent language input, may play a particularly important role in shaping autistic children's expressive language development. Future research should study longitudinal associations among SES, parent language input, and child language skills, as identifying environmental predictors of language skills in autism may facilitate the creation of more effective interventions that support language development.

Cognitive-adaptive Functioning Gap and Mediating Factors that Impact Adaptive Functioning in Chinese Preschool-aged Children with Autism Spectrum Disorder

This study aimed to investigate the gap between adaptive functioning and cognitive functioning, especially verbal and nonverbal intelligence quotient (IQ) in Chinese children with ASD. We systematically explored cognitive functioning, ASD severity, early signs of developmental abnormalities, and socioeconomic factors as mediating factors of adaptive functioning. We enrolled 151 children (age: 2.5?6 years) with ASD and categorized them into one group with IQ ≥ 70 and another with IQ < 70. The two groups were calibrated for age, age at diagnosis, and IQ, and the relationship of adaptive skills with vocabulary acquisition index (VAI) and nonverbal index (NVI) were separately analyzed. Results show that the gap between IQ and adaptive functioning was significant in children with ASD having IQ ≥ 70, with both VAI and NVI showing statistically significant differences (all P < 0.001). VAI correlated positively with scores for overall adaptive skills and specific domains, whereas NVI had no significant correlations with adaptive skill scores. Age of first walking unaided had an independent positive correlation (all P < 0.05) with scores of adaptive skills and specific domains. IQ-adaptive functioning gap is significant in children with ASD having IQ ≥ 70, suggesting that defining "high-functioning autism" merely on the basis of IQ is not appropriate. Verbal IQ and early signs of motor development are specific and possible predictors of adaptive functioning in children with ASD, respectively.

Unraveling the immunogenetic landscape of autism spectrum disorder: a comprehensive bioinformatics approach

Background

Autism spectrum disorder (ASD) is a disease characterized by social disorder. Recently, the population affected by ASD has gradually increased around the world. There are great difficulties in diagnosis and treatment at present.

Methods

The ASD datasets were obtained from the Gene Expression Omnibus database and the immune-relevant genes were downloaded from a previously published compilation. Subsequently, we used WGCNA to screen the modules related to the ASD and immune. We also choose the best combination and screen out the core genes from Consensus Machine Learning Driven Signatures (CMLS). Subsequently, we evaluated the genetic correlation between immune cells and ASD used GNOVA. And pleiotropic regions identified by PLACO and CPASSOC between ASD and immune cells. FUMA was used to identify pleiotropic regions, and expression trait loci (EQTL) analysis was used to determine their expression in different tissues and cells. Finally, we use qPCR to detect the gene expression level of the core gene.

Results

We found a close relationship between neutrophils and ASD, and subsequently, CMLS identified a total of 47 potential candidate genes. Secondly, GNOVA showed a significant genetic correlation between neutrophils and ASD, and PLACO and CPASSOC identified a total of 14 pleiotropic regions. We annotated the 14 regions mentioned above and identified a total of 6 potential candidate genes. Through EQTL, we found that the CFLAR gene has a specific expression pattern in neutrophils, suggesting that it may serve as a potential biomarker for ASD and is closely related to its pathogenesis.

Conclusions

In conclusion, our study yields unprecedented insights into the molecular and genetic heterogeneity of ASD through a comprehensive bioinformatics analysis. These valuable findings hold significant implications for tailoring personalized ASD therapies.

Resting Frontal Gamma Power is Associated with Both Expressive Language and Non-verbal Cognitive Abilities in Young Autistic Children

Previous research links resting frontal gamma power to key developmental outcomes in young neurotypical (NT) children and infants at risk for language impairment. However, it remains unclear whether gamma power is specifically associated with language or with more general cognitive abilities among young children diagnosed with autism spectrum disorder (ASD). The current study evaluates differences in resting frontal gamma power between young autistic and NT children and tests whether gamma power is uniquely associated with individual differences in expressive language, receptive language and non-verbal cognitive abilities in autistic and NT children. Participants included 48 autistic children and 58 age- and sex-matched NT children (ages 22-60 months). Baseline electroencephalography (EEG) recordings were acquired from each participant. Children also completed the Mullen Scales of Early Learning (MSEL). We found that frontal gamma power at rest did not differ between autistic and NT children. Among autistic children, reduced frontal gamma power was significantly associated with both higher expressive language skills and higher non-verbal cognitive skills, controlling for age and sex. The interaction between frontal gamma power and diagnostic status no longer explained unique variance in expressive language skills after controlling for variance associated with non-verbal cognitive skills across autistic and NT children. Together, these findings suggest that reduced gamma power is associated with both better expressive language and non-verbal cognitive skills among young autistic children. Moreover, associations between high frequency neural activity and cognition are not specific to verbal abilities but reflect neural mechanisms associated with general higher-order cognitive abilities in ASD.

Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD

BACKGROUND

Social and language abilities are closely intertwined during early typical development. In autism spectrum disorder (ASD), however, deficits in social and language development are early-age core symptoms. We previously reported that superior temporal cortex, a well-established social and language region, shows reduced activation to social affective speech in ASD toddlers; however, the atypical cortical connectivity that accompanies this deviance remains unknown.

METHODS

We collected clinical, eye tracking, and resting-state fMRI data from 86 ASD and non-ASD subjects (mean age 2.3 ± 0.7 years). Functional connectivity of left and right superior temporal regions with other cortical regions and correlations between this connectivity and each child's social and language abilities were examined.

RESULTS

While there was no group difference in functional connectivity, the connectivity between superior temporal cortex and frontal and parietal regions was significantly correlated with language, communication, and social abilities in non-ASD subjects, but these effects were absent in ASD subjects. Instead, ASD subjects, regardless of different social or nonsocial visual preferences, showed atypical correlations between temporal-visual region connectivity and communication ability (r(49) = 0.55, p < 0.001) and between temporal-precuneus connectivity and expressive language ability (r(49) = 0.58, p < 0.001).

LIMITATIONS

The distinct connectivity-behavior correlation patterns may be related to different developmental stages in ASD and non-ASD subjects. The use of a prior 2-year-old template for spatial normalization may not be optimal for a few subjects beyond this age range.

CONCLUSIONS

Superior temporal cortex is known to have reduced activation to social affective speech in ASD at early ages, and here we find in ASD toddlers that it also has atypical connectivity with visual and precuneus cortices that is correlated with communication and language ability, a pattern not seen in non-ASD toddlers. This atypicality may be an early-age signature of ASD that also explains why the disorder has deviant early language and social development. Given that these atypical connectivity patterns are also present in older individuals with ASD, we conclude these atypical connectivity patterns persist across age and may explain why successful interventions targeting language and social skills at all ages in ASD are so difficult to achieve.

The Effect of Universal Newborn Hearing Screening on Spoken Language after Cochlear Implantation

BACKGROUND

The universal newborn hearing screening (UNHS) was fully implemented across New Zealand by 2010 to improve outcomes for children with prelingual deafness. A previous audit undertaken by our center, the Southern Cochlear Implant Programme (SCIP), demonstrated that UNHS has significantly reduced the time to referral and surgery for cochlear implants in these children.

AIMS

This study aims to evaluate the relationship between earlier implantation and language development, the time taken to achieve age-appropriate language, and the effect of socioeconomic status on language skills.

METHODS

This is a retrospective cohort study comparing prelingual children with severe to profound bilateral hearing loss who underwent cochlear implantation in SCIP before and after the introduction of the UNHS. The language outcomes were assessed using the Preschool Language Scale and/or the Peabody Picture Vocabulary Test. For the purpose of our study, the standard scores of these tests were expressed as global language scores (GLS). GLSs between 85 and 115 are considered within normal range for age. The socioeconomic status was categorized based on the New Zealand Index of Deprivation (NZDep).

RESULTS

Children in the post-UNHS group (46/95 children) were referred to SCIP and received CI at a significantly earlier age (mean = 7 vs 20 mo, p = 8.95E-10, and mean = 13 vs. 24.7 mo, p = 1.43E-07). At 2 years postimplantation, the GLS was significantly higher in the post-UNHS group (mean scores = 93.3 vs. 79.1, p = 0.0213). The scores remained statistically higher in the post-UNHS group when assessed at 3 and 4 years postimplantation. At 2, 3, and 4 years postimplantation, there is a significant linear decrease in GLS with increasing age at cochlear implantation. We found no correlation between NZDep and GLS.

CONCLUSION

Children identified through UNHS have the advantage of earlier diagnosis, earlier hearing intervention, and longer duration with the implants, and they can achieve age-appropriate spoken language after 2 years of implantation.

COVID-19 Induced Environments, Health-Related Quality of Life Outcomes and Problematic Behaviors: Evidence from Children with Syndromic Autism Spectrum Disorders

Between July 2020 and January 2021, 230 principal caregivers completed a questionnaire to measure proxy-assessed health-related quality of life outcomes (HRQoL), behavioral outcomes in children with syndromic autism spectrum disorders and COVID-19 induced changes to lifestyle and environments. HRQoL and behavioral outcomes reported earlier during the pandemic were generally worse compared to those reported later. COVID-19 induced reduction to a caregiver's mental health appointments, and hours spent watching TV were associated with decreases in HRQoL and increased the likelihood of problematic behaviors. Increasing time outdoors and time away from digital devices were positively associated with HRQoL and behaviors and might protect children from COVID-19 induced restrictions.

Resilience, and positive parenting in parents of children with syndromic autism and intellectual disability. Evidence from the impact of the COVID-19 pandemic on family's quality of life and parent-child relationships

Family quality of life (FQoL) outcomes collected during the first year of COVID-19 has been combined with 2018 data to estimate the outbreak's impact on parental outcomes on a sample of 230 families with syndromic autistic children and those with intellectual disabilities (IDs). Despite challenges imposed by the COVID-19 outbreak, our study found that FQoL outcomes reported by participating parents during the first year of COVID-19 appears to be similar to ratings from a prepandemic study of families with the same conditions. Parents of children in our sample generally displayed a stable functioning trajectory as measured by the validated FQoL instrument. Across syndromic autistic groups considered, families reported that their relationships with their children were positive. Our findings provide evidence of families' resilience which might explain the presence of positive parent-child interactions during COVID-19. Exploring mechanisms which would explain how families with autistic and ID children confront, manage disruptive experiences, and buffer COVID-19 induced stress is a fruitful direction for future research.

Profiles and correlates of language and social communication differences among young autistic children

Delays in early language development are characteristic of young autistic children, and one of the most recognizable first concerns that motivate parents to seek a diagnostic evaluation for their child. Although early language abilities are one of the strongest predictors of long-term outcomes, there is still much to be understood about the role of language impairment in the heterogeneous phenotypic presentation of autism. Using a person-centered, Latent Profile Analysis, we first aimed to identify distinct patterns of language and social communication ability in a clinic-based sample of 498 autistic children, ranging in age from 18 to 60 months (M = 33 mo, SD = 12 mo). Next, a multinomial logistic regression analysis was implemented to examine sociodemographic and child-based developmental differences among the identified language and social communication profiles. Three clinically meaningful profiles were identified from parent-rated and clinician-administered measures: Profile 1 (48% of the sample) “Relatively Low Language and Social Communication Abilities,” Profile 2 (34% of the sample) “Relatively Elevated Language and Social Communication Abilities,” and Profile 3 (18% of the sample) “Informant Discrepant Language and Relatively Elevated Social Communication Abilities.” Overall, young autistic children from the lowest-resource households exhibited the lowest language and social communication abilities, and the lowest non-verbal problem-solving and fine-motor skills, along with more features of attention-deficit/hyperactivity disorder and atypical auditory processing. These findings highlight the need for effective community-based implementation strategies for young autistic children from low-resource households and underrepresented communities to improve access to individualized quality care.

Comparing Early Pragmatics in Typically Developing Children and Children with Neurodevelopmental Disorders

This study examined the early pragmatic language skills in typically developing (TD) preschool-age children, children with language impairment (LI) and children with autism spectrum disorder (ASD). Two hundred and sixty-two TD children, 73 children with LI, and 16 children with ASD were compared on early pragmatics through direct assessment (DA). Post hoc analysis revealed that children in two clinical groups displayed significant pragmatic language deficits. Children in the ASD group who were older exhibited comparable degree of impairments as their LI peers, suggesting a relatively stagnant development of pragmatic language skills in children with ASD. Findings also supported the use of DA in identifying pragmatic language deficits, which have implications for the adoption of this assessment approach in clinical settings.

Early predictors of language skills at 3 years of age vary based on diagnostic outcome: A baby siblings research consortium study

While previous work has identified the early predictors of language skills in infants at elevated familial risk (ER) and low familial risk (LR) for autism spectrum disorder (ASD), no studies to date have explored whether these predictors vary based on diagnostic outcome of ASD or no ASD. The present study used a large, multisite dataset to examine associations between a set of commonly studied predictor variables (infant gesture abilities, fine motor skills, nonverbal cognition, and maternal education level), measured at 12 months, and language skills, measured at 3 years, across three diagnostic outcome groups-infants with ASD ("ASD"), ER infants without ASD ("ER-no ASD"), and LR infants without ASD ("LR-no ASD"). Findings revealed that the predictors of language skills differed across groups, as gesture abilities were positively associated with language skills in the ER-no ASD group but negatively associated with language skills in the ASD group. Furthermore, maternal education level was positively associated with language skills in the ASD and LR-no ASD groups only. Variability in these early predictors may help explain why language skills are heterogeneous across the autism spectrum, and, with further study, may help clinicians identify those in need of additional and/or specialized intervention services that support language development. LAY SUMMARY: The present study identified predictors of language skills in infants with and without autism spectrum disorder (ASD). Maternal education level and 12-month gesture abilities predicted 3-year language skills in infants with ASD. Measuring these predictors early in life may help identify infants and families in need of additional and/or specialized intervention services that support language development.

Factors associated with age of diagnosis in children with autism spectrum disorders: Report from a French cohort

LAY ABSTRACT

Autism spectrum disorder is an early onset neurodevelopmental disorder and diagnosis can be made as early as 18 months of age. Early diagnosis of autism spectrum disorder is critical as it leads to early intervention. Age of autism spectrum disorder diagnosis has been linked to the child profile as autism spectrum disorder is characterized by strong heterogeneity, but is also influenced by socio-economic factors. There is paucity of data on age of diagnosis of autism spectrum disorder in France. We therefore examined the age of autism spectrum disorder diagnosis in 554 children and adolescents enrolled in the ELENA cohort study with respect to the influences of child profile, family antecedents, and socio-economic factors. The mean age of diagnosis was 4.9 years (±2.8 years). Early diagnosis, before 3 years of age, was related to the co-occurrence of intellectual disability, higher autism spectrum disorder symptom severity, and lower communicative abilities. Children in low socio-economic status families tended to have an earlier diagnosis, but these children also had greater degree of intellectual impairment compared to children in high socio-economic status families. The age of autism spectrum disorder diagnosis was not associated with the presence of an older sibling with autism spectrum disorder. The observed current trend of an inverse relationship between socio-economic status and age of diagnosis of autism spectrum disorder suggests equitable access to autism spectrum disorder services in France where health coverage is universal and free. Better screening of more subtle/less severe forms of autism spectrum disorder is needed, as well as further assessment of the link between the co-occurrence of autism spectrum disorder and intellectual impairment in children in lower socio-economic status families.

Trajectories of Vocabulary Development in Children with Autism Spectrum Disorder Across Multiple Measures

This longitudinal study examined how receptive and expressive vocabulary assessments capture vocabulary development in children with Autism Spectrum Disorder (ASD) and typically developing (TD) children. Using mixed regression modelling, we explored when children with ASD significantly different from TD children. We also examined the variability of individual trajectories of vocabulary development in children with ASD. Children with ASD showed slowed trajectories and significantly differed from TD children by 24 months on all assessments except for picture-based assessments. Children with ASD also showed high heterogeneity in trajectories, with some showing inconsistent patterns of growth, stagnation, and regression across assessments. This suggests that conclusions based on individual assessments of vocabulary can vary and assessment characteristics must be considered when monitoring vocabulary development.

[Formula: see text] Neural correlates of socioeconomic status in early childhood: a systematic review of the literature

It is now established that socioeconomic variables are associated with cognitive, academic achievement, and psychiatric outcomes. Recent years have shown the advance in our understanding of how socioeconomic status (SES) relates to brain development in the first years of life (ages 0-5 years). However, it remains unknown which neural structures and functions are most sensitive to the environmental experiences associated with SES. Pubmed, PsycInfo, and Google Scholar databases from January 1, 2000, to December 31, 2019, were systematically searched using terms "Neural" OR "Neuroimaging" OR "Brain" OR "Brain development," AND "Socioeconomic" OR "SES" OR "Income" OR "Disadvantage" OR "Education," AND "Early childhood" OR "Early development". Nineteen studies were included in the full review after applying all exclusion criteria. Studies revealed associations between socioeconomic and neural measures and indicated that, in the first years of life, certain neural functions and structures (e.g., those implicated in language and executive function) may be more sensitive to socioeconomic context than others. Findings broadly support the hypothesis that SES associations with neural structure and function operate on a gradient. Socioeconomic status is reflected in neural architecture and function of very young children, as early as shortly after birth, with its effects possibly growing throughout early childhood as a result of postnatal experiences. Although socioeconomic associations with neural measures were relatively consistent across studies, results from this review are not conclusive enough to supply a neural phenotype of low SES. Further work is necessary to understand causal mechanisms underlying SES-brain associations.