Pauline A. Filipek

Autism is a common disorder of childhood, affecting 1 in 500 children. Yet, it often remains unrecognized and undiagnosed until or after late preschool age because appropriate tools for routine developmental screening and screening specifically for autism have not been available. Early identification of children with autism and intensive, early intervention during the toddler and preschool years improves outcome for most young children with autism. This practice parameter reviews the available empirical evidence and gives specific recommendations for the identification of children with autism. This approach requires a dual process: 1) routine developmental surveillance and screening specifically for autism to be performed on all children to first identify those at risk for any type of atypical development, and to identify those specifically at risk for autism; and 2) to diagnose and evaluate autism, to differentiate autism from other developmental disorders.

OBJECTIVE: To test by MRI-based morphometry the a priori hypotheses that developmental anomalies exist in attention-deficit hyperactivity disorder (ADHD) in left caudate and right prefrontal/frontal/ and/or posterior parietal hemispheric regions, in accord with neurochemical, neuronal circuitry and attentional network hypotheses, and prior imaging studies. DESIGN: Case-control study. SETTING: Academic medical center. PARTICIPANTS: Fifteen male subjects with ADHD without comorbid diagnoses (aged 12.4 +/- 3.4 years) and 15 male normal controls (aged 14.4 +/- 3.4), group-matched for age, IQ, and handedness. MAIN OUTCOME MEASURES: Global and hemispheric regional volumes (in cm3) of cerebral hemispheres, cortex, white matter, ventricles, caudate, lenticulate, central gray nuclei, insula, amygdala, and hippocampus. RESULTS: Despite similar hemispheric volumes, ADHD subjects had smaller volumes of (1) left total caudate and caudate head (p < 0.04), with reversed asymmetry (p < 0.03); (2) right anterior-superior (frontal) region en bloc (p < 0.03) and white matter (p < 0.01); (3) bilateral anterior-inferior region en bloc (p < 0.04); and (4) bilateral retrocallosal (parietal-occipital) region white matter (p < 0.03). Possible structural correlates of ADHD response to stimulants were noted in an exploratory analysis, with the smallest and symmetric caudate, and smallest left anterior-superior cortex volumes found in the responders, but reversed caudate asymmetry and the smallest retrocallosal white matter volumes noted in the nonresponders. CONCLUSIONS: This study is the first to report localized hemispheric structural anomalies in ADHD, which are concordant with theoretical models of abnormal frontal-striatal and parietal function, and with possible differing morphologic substrates of response to stimulant medication.

Abstract Increased brain volume in autism appears to be driven mainly by an unexplained white matter enlargement, and we have reported a similar phenomenon in developmental language disorder (DLD). Localization of this enlargement would strongly guide research into its cause, tissue basis, and functional implications. We utilized a white matter parcellation technique that divides cerebral white matter into an outer zone containing the radiate compartment and an inner zone containing sagittal and bridging system compartments. In both high‐functioning autism and DLD, enlargement localized to the radiate white matter (all lobes in autism, all but parietal in DLD), whereas inner zone white matter compartments showed no volume differences from controls. Furthermore, in both autism and DLD, later or longer‐myelinating regions showed greater volume increases over controls. Neither group showed cerebral cortex, corpus callosum, or internal capsule volume differences from control. Radiate white matter myelinates later than deep white matter; this pattern of enlargement thus is consistent with striking postnatal head circumference percentile increases reported in autism. These findings suggest an ongoing postnatal process in both autism and DLD that is probably intrinsic to white matter, that primarily affects intrahemispheric and corticocortical connections, and that places these two disorders on the same spectrum.

Morphometric analysis was performed on three-dimensional MRI scans of 10 male and 10 female young adults with four principal objectives: (1) to characterize in vivo volumes of whole brain and substructures, (2) to explore volumetric symmetry in bilateral structures, (3) to consider the extent to which volumetric measures are dimorphic in the male and female brain, and (4) to provide a normal volumetric database for the young adult brain. Total brain volumes ranged between 1173 and 1626 cm3. All bilateral structures were symmetric or nearly symmetric in volume, with the exception of a slightly larger right neocortex and amygdala, and larger left lateral ventricle. Male brains were larger in volume than female brains, a difference that reached significance for cerebellar but not for cerebral hemisphere volume. In females, there was less cerebral white matter while caudate volume was larger than in the male brains. The proportions of caudate and hippocampus relative to total cerebral volumes were larger in females than in males. These four measures accurately predicted gender in 85% of the subjects by discriminant analysis. No gender differences were noted in the structural symmetry analysis. These results represent the first step in establishing a comprehensive database of morphometric parameters, with unexpected findings relative to brain symmetry and sexual dimorphism.