Probability of Intervention Benefit in the Early Start Denver Model.

Early intervention has the potential to improve the outcomes of children with autism. As more evidence-based early intervention approaches become available, data generated from studies testing their efficacy provide the unique opportunity to examine whether specific interventions differentially benefit children based on their demographic and behavioral characteristics. In this study, we retrospectively applied a probability-of-intervention-benefit framework to data from a randomized controlled trial comparing the outcomes of children with autism receiving community intervention as usual to those receiving the Early Start Denver Model (ESDM) delivered by university-based clinicians.

Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds.

Background: fcMRI correlates of autism spectrum disorder (ASD) diagnosis and familial liability were studied in 24-month-olds at high (older affected sibling) and low familial likelihood for ASD.

Methods: fcMRI comparisons of high-familial-likelihood (HL) ASD-positive (HLP, N = 23) and ASD-negative (HLN, N = 91), and low-likelihood ASD-negative (LLN, N = 27) 24-month-olds from the Infant Brain Imaging Study (IBIS) Network were conducted, employing object oriented data analysis (OODA), support vector machine (SVM) classification, and network-level fcMRI enrichment analyses.

Results: OODA (alpha = 0.

Sleep in Infants with Down Syndrome or Familial Likelihood of Autism in the First Year of Life.

Sleep problems have been associated with atypical development, but there is limited understanding of when sleep problems arise and how they differ across clinical populations. We aimed to evaluate sleep characteristics of infants with Down syndrome (DS), higher familial likelihood of autism (HL) and lower familial likelihood of autism (LL) at 6 and 12 months of age. Participants were from two longitudinal, multi-site, studies.

Brain Morphometry in Infants Later Diagnosed With Autism is Related to Later Language Skills.

Autism spectrum disorder (ASD) presents early in life with distinct social and language differences. This study explores the association between infant brain morphometry and language abilities using an infant-sibling design. Participants included infants who had an older sibling with autism (high likelihood, HL) who were later diagnosed with autism (HL-ASD; n = 31) and two non-autistic control groups: HL-Neg (HL infants not diagnosed with autism; n = 126) and LL-Neg (typically developing infants who did not have an older sibling with autism; n = 77).

Functional connectivity between the visual and salience networks and autistic social features at school-age.

Background: Autism spectrum disorder (ASD) is highly heritable and phenotypically variable. Neuroimaging markers reflecting variation in behavior will provide insights into circuitry subserving core features. We examined functional correlates of ASD symptomology at school-age, while accounting for associated behavioral and cognitive domains, in a longitudinal sample followed from infancy and enriched for those with a genetic liability for ASD.

Evaluating canonical babbling ratios extracted from day-long audio recordings in infants later diagnosed with autism spectrum disorder.

Canonical babbling (CB) is a critical developmental milestone that typically occurs in the second half of the first year of life. Studies focusing on CB in infants at elevated familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis are limited and the evidence is mixed. CB comprises a series of canonical syllables (CS) which are defined as the rapid transitions between consonant-like sounds paired with vowel-like sounds (e.

Intrinsic Functional Connectivity Alterations of the Fusiform Face Area in Autism Spectrum Disorder.

Intrinsic connectivity of the fusiform face area (FFA) was assessed using resting-state functional magnetic resonance imaging (fMRI) to compare adults with autism spectrum disorder (ASD; = 17) and age-, sex-, and IQ-matched typically developing controls (TD; = 22). The FFA seed region was delineated in each participant using a functional localizer task. Whole brain analyses of FFA connectivity revealed increased connectivity between the right FFA and the vermis, sensorimotor cortex, and extended face-processing network in individuals with ASD compared to TD participants; the TD group did not demonstrate increased functional connectivity.

Clarifying the developmental association between gesture and later vocabulary for autistic children.

Gestures serve as both a communication and a word-learning tool, with typically developing children consistently showing that early gestures are positively associated with later vocabulary skills. However, many autistic children experience delays and challenges in both gesture and vocabulary skills, and studies also show mixed gesture-vocabulary associations; thus, it is unclear whether gestures in autistic children support emerging vocabulary skills. To address previous conflicting findings, the current conceptual replication study uses linear models with a large sample (N = 451) of 12- to 24-month-old English-raised infants to investigate whether gestures are associated with expressive and receptive vocabulary.

Caregiver behavioral changes mediate the effects of naturalistic developmental behavioral interventions: Combining evidence from three randomized controlled trials.

Naturalistic developmental behavioral interventions target developmentally appropriate skills in young children with autism spectrum disorders using behavioral techniques in naturalistic interactions. Naturalistic developmental behavioral interventions demonstrate strong empirical support and frequently utilize caregiver training of intervention strategies. However, our understanding of the mechanisms of change linked to naturalistic developmental behavioral interventions remains limited.

Adaptive Functioning Development in Infants With Agenesis of the Corpus Callosum.

Background And Objectives: Agenesis of the corpus callosum (ACC) is a common congenital brain malformation. Early development in ACC remains unexamined, despite the increased likelihood for developmental delays and autistic behaviors. This study compares adaptive functioning in infants/toddlers with isolated ACC to children with other neurodevelopmental conditions and typical development.

Early White Matter Microstructure Alterations in Infants with Down Syndrome.

Importance: Down syndrome, resulting from trisomy 21, is the most prevalent chromosomal disorder and a leading cause of intellectual disability. Despite its significant impact on brain development, research on the white matter microstructure in infants with Down syndrome remains limited.

Objective: To investigate early white matter microstructure in infants with Down syndrome using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI).

White matter microstructure in school-age children with down syndrome.

Down syndrome (DS) is the most common genetic cause of intellectual disability, but our understanding of white matter microstructure in children with DS remains limited. Previous studies have reported reductions in white matter integrity, but nearly all studies to date have been conducted in adults or relied solely on diffusion tensor imaging (DTI), which lacks the ability to disentangle underlying properties of white matter organization. This study examined white matter microstructural differences in 7- to 12-year-old children with DS (n = 23), autism (n = 27), and typical development (n = 50) using DTI as well as High Angular Resolution Diffusion Imaging, and Neurite Orientation and Dispersion Imaging.

Statistical properties of functional connectivity MRI enrichment analysis in school-age autism research.

Mass univariate testing on functional connectivity MRI (fcMRI) data is limited by difficulties achieving experiment-wide significance. Recent work addressing this problem has used enrichment analysis, which aggregates univariate screening statistics for a set of variables into a single enrichment statistic. There have been promising results using this method to explore fcMRI-behavior associations.

Early cell cycle genes in cortical organoid progenitors predict interindividual variability in infant brain growth trajectories.

Human induced pluripotent stem cell (iPSC) derived cortical organoids (hCOs) model neurogenesis on an individual's genetic background. The degree to which hCO phenotypes recapitulate the brain growth of the participants from which they were derived is not well established. We generated up to 3 iPSC clones from each of 18 participants in the Infant Brain Imaging Study, who have undergone longitudinal brain imaging during infancy.

Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome.

Background: Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS.

Multi-site EEG studies in early infancy: Methods to enhance data quality.

Brain differences linked to autism spectrum disorder (ASD) can manifest before observable symptoms. Studying these early neural precursors in larger and more diverse cohorts is crucial for advancing our understanding of developmental pathways and potentially facilitating earlier identification. EEG is an ideal tool for investigating early neural differences in ASD, given its scalability and high tolerability in infant populations.

Parent attitudes towards predictive testing for autism in the first year of life.

Background: Emerging biomarker technologies (e.g., MRI, EEG, digital phenotyping, eye-tracking) have potential to move the identification of autism into the first year of life.

Implementing a Uniform Outcome Measurement Approach for Early Interventions of Autism Spectrum Disorders.

Objective: Naturalistic developmental behavioral interventions for children with autism spectrum disorder show evidence for effectiveness for specific social communication targets such as joint attention or engagement. However, combining evidence from different studies and comparing intervention effects across those studies have not been feasible due to lack of a standardized outcome measure of broader social communication skills that can be applied uniformly across trials. This investigation examined the usefulness of the Brief Observation of Social Communication Change (BOSCC) as a common outcome measure of general social communication skills based on secondary analyses of data obtained from previously conducted randomized controlled trials of 3 intervention models, Early Social Intervention (ESI), Early Start Denver Model (ESDM) and Joint Attention Symbolic Play Engagement and Regulation (JASPER).

Examining variability in Naturalistic Developmental Behavioral Intervention strategy use in caregivers of children with autism spectrum disorders.

Background: Naturalistic Developmental Behavioral Interventions (NDBIs) for young children with autism spectrum disorder commonly involve caregiver-mediated approaches. However, to date, there is limited research on how caregivers' skills change, and, in turn, impact child outcomes.

Methods: We evaluated the NDBI strategy use of 191 caregivers prior to participation in NDBIs (or control groups) across multiple randomized controlled trials, using the Measure of NDBI Strategy Implementation, Caregiver Change (MONSI-CC).

Atypical functional connectivity between the amygdala and visual, salience regions in infants with genetic liability for autism.

The amygdala undergoes a period of overgrowth in the first year of life, resulting in enlarged volume by 12 months in infants later diagnosed with ASD. The overgrowth of the amygdala may have functional consequences during infancy. We investigated whether amygdala connectivity differs in 12-month-olds at high likelihood (HL) for ASD (defined by having an older sibling with autism), compared to those at low likelihood (LL).

Sleep and Autism: Current Research, Clinical Assessment, and Treatment Strategies.

Autism spectrum disorder is associated with a high rate of sleep problems, affecting over 80% of autistic individuals. Sleep problems have pervasive negative effects on health, behavior, mood, and cognition but are underrecognized in autistic children. Problems initiating and maintaining sleep-hallmarks of insomnia-are common.

Differential cognitive and behavioral development from 6 to 24 months in autism and fragile X syndrome.

Background: Specifying early developmental differences among neurodevelopmental disorders with distinct etiologies is critical to improving early identification and tailored intervention during the first years of life. Recent studies have uncovered important differences between infants with fragile X syndrome (FXS) and infants with familial history of autism spectrum disorder who go on to develop autism themselves (FH-ASD), including differences in brain development and behavior. Thus far, there have been no studies longitudinally investigating differential developmental skill profiles in FXS and FH-ASD infants.

IcoConv : Explainable brain cortical surface analysis for ASD classification.

In this study, we introduce a novel approach for the analysis and interpretation of 3D shapes, particularly applied in the context of neuroscientific research. Our method captures 2D perspectives from various vantage points of a 3D object. These perspectives are subsequently analyzed using 2D Convolutional Neural Networks (CNNs), uniquely modified with custom pooling mechanisms.

White matter development and language abilities during infancy in autism spectrum disorder.

White matter (WM) fiber tract differences are present in autism spectrum disorder (ASD) and could be important markers of behavior. One of the earliest phenotypic differences in ASD are language atypicalities. Although language has been linked to WM in typical development, no work has evaluated this association in early ASD.

Infants who develop autism show smaller inventories of deictic and symbolic gestures at 12 months of age.

Gestures are an important social communication skill that infants and toddlers use to convey their thoughts, ideas, and intentions. Research suggests that early gesture use has important downstream impacts on developmental processes, such as language learning. However, autistic children are more likely to have challenges in their gestural development.