The modified checklist for autism in toddlers: a follow-up study investigating the early detection of autism spectrum disorders.

Autism spectrum disorders (ASD) often go undetected in toddlers. The Modified Checklist for Autism in Toddlers (M-CHAT) was used to screen 3,793 children aged 16-30 months from low- and high-risk sources; screen positive cases were diagnostically evaluated. Rescreening was performed on 1,416 children aged 42-54 months. Time 1 Positive Predictive Value (PPV) was .36 for the initial screening and .74 for the screening plus follow-up telephone interview; values were similar for Time2 PPV. When separating referral sources, PPV was low for the low-risk sample but acceptable with the followup telephone interview. Children with ASD from the low-risk and high-risk samples were highly similar. Results indicate that the M-CHAT continues to be a promising instrument for the early detection of ASD.

Predictors of optimal outcome in toddlers diagnosed with autism spectrum disorders.

A diagnosis of autism spectrum disorder (ASD) is usually taken to be permanent. In this study, 13 two-year-old children with ASD lost the diagnosis by age 4, at which time they scored within the normal range on standardized measures of cognitive and adaptive functioning. No differences were found in symptom severity, socialization, or communication between children who lost the ASD diagnosis and children who did not, but children with PDD-NOS were significantly more likely than those with full autistic disorder to move off the spectrum. The clearest distinguishing factor was motor skills at age 2. Results support the idea that some toddlers with ASD can lose their diagnosis and suggest that this is difficult to predict.

Effects of hormones and sex chromosomes on stress-influenced regions of the developing pediatric brain.

Recently discovered sexual dimorphism within developing brain structures such as the amygdala and hippocampus suggests that biological factors may account for many of the sex differences in stress reactivity. In this study, we have relied on studies of naturally occurring anomalous processes, such as congenital adrenal hyperplasia (CAH) and Klinefelter's syndrome (XXY), to observe the effects of hormones and sex chromosomes on brain structures thought to influence an individual's vulnerability to stress. Brain magnetic resonance imaging (MRI) scans were obtained both from 16 boys with classic CAH and 34 age- and sex-matched controls and from 20 XXY children and 40 age-matched controls. Smaller amygdala volumes were observed in boys with CAH than in matched controls, and in XXY patients than in matched controls. XXY patients were also found to have smaller hippocampus volumes when compared with matched controls. Acknowledging that hormone and sex chromosome effects upon the developing human brain are widespread and complex, it is difficult to conclude, with any certainty, the etiology of the differences found in this study. Future studies that examine longitudinal data and/or other diagnostic groups, however, may help to better elucidate specific hormone and sex chromosome effects upon stress-related structures in the brain.

A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample.

An important component of brain mapping is an understanding of the relationships between neuroanatomic structures, as well as the nature of shared causal factors. Prior twin studies have demonstrated that much of individual differences in human anatomy are caused by genetic differences, but information is limited on whether different structures share common genetic factors. We performed a multivariate statistical genetic analysis on volumetric MRI measures (cerebrum, cerebellum, lateral ventricles, corpus callosum, thalamus, and basal ganglia) from a pediatric sample of 326 twins and 158 singletons. Our results suggest that the great majority of variability in cerebrum, cerebellum, thalamus and basal ganglia is determined by a single genetic factor. Though most (75%) of the variability in corpus callosum was explained by additive genetic effects these were largely independent of other structures. We also observed relatively small but significant environmental effects common to multiple neuroanatomic regions, particularly between thalamus, basal ganglia, and lateral ventricles. These findings are concordant with prior volumetric twin studies and support radial models of brain evolution.

A pediatric twin study of brain morphometry.

BACKGROUND: Longitudinal pediatric neuroimaging studies have demonstrated increasing volumes of white matter and regionally-specific inverted U shaped developmental trajectories of gray matter volumes during childhood and adolescence. Studies of monozygotic and dyzygotic twins during this developmental period allow exploration of genetic and non-genetic influences on these developmental trajectories. METHOD: Magnetic resonance imaging brain scans were acquired on a pediatric sample of 90 monozygotic twin pairs, 38 same-sex dyzygotic twin pairs, and 158 unrelated typically developing singletons. Structural equation modeling was used to estimate the additive genetic, common environment, and unique environment effects, as well as age by heritability interactions, on measures of brain volumes from these images. RESULTS: Consistent with previous adult studies, additive genetic effects accounted for a substantial portion of variability in nearly all brain regions with the notable exception of the cerebellum. Significant age by heritability interactions were observed with gray matter volumes showing a reduction in heritability with increasing age, while white matter volume heritability increased with greater age. CONCLUSION: Understanding the relative contributions of genetic and nongenetic factors on developmental brain trajectories may have implications for better understanding brain-based disorders and typical cognitive development.