Elizabeth Molloy

Brain Imaging of Attention Deficit/Hyperactivity Disorder

Abstract: Advances in imaging technology allow unprecedented access to the anatomy and physiology of the living, growing human brain. Anatomical imaging studies of individuals with attention deficit/hyperactivity disorder (ADHD) consistently point to involvement of the frontal lobes, basal ganglia, corpus callosum, and cerebellum. Imaging studies of brain physiology also support involvement of right frontal‐basal ganglia circuitry with a powerful modulatory influence from the cerebellum. Although not currently of diagnostic utility, further extension and refinement of these findings may offer hope for greater understanding of the core nature of ADHD and possible subtyping to inform treatment interventions.

Puberty-related influences on brain development

Puberty is a time of striking changes in cognition and behavior. To indirectly assess the effects of puberty-related influences on the underlying neuroanatomy of these behavioral changes we will review and synthesize neuroimaging data from typically developing children and adolescents and from those with anomalous hormone or sex chromosome profiles. The trajectories (size by age) of brain morphometry differ between boys and girls, with girls generally reaching peak gray matter thickness 1-2 years earlier than boys. Both boys and girls with congenital adrenal hyperplasia (characterized by high levels of intrauterine testosterone), have smaller amygdala volume but the brain morphometry of girls with CAH did not otherwise significantly differ from controls. Subjects with XXY have gray matter reductions in the insula, temporal gyri, amygdala, hippocampus, and cingulate-areas consistent with the language-based learning difficulties common in this group.

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.

Motion Artifact in Magnetic Resonance Imaging: Implications for Automated Analysis

Automated measures of cerebral magnetic resonance images (MRI) often provide greater speed and reliability compared to manual techniques but can be particularly sensitive to motion artifact. This study employed an automatic MRI analysis program that quantified regional gray matter volume and created images for verification and quality control. Motion artifact was assessed on each image and assigned a rating of none, mild, moderate, or severe. Greater motion artifact was associated with smaller gray matter volumes. Severity of motion artifact is an important, but often overlooked, consideration in the interpretation of automated MRI measures.

Adolescent Brain Maturation

Introduction The teen years have long been noted as a time of dramatic changes in body and behaviour. Insight into the neurobiology underlying these cognitive and behaviour changes has been greatly enhanced by the advent of magnetic resonance imaging (MRI), which allows safe and unprecedented access to the anatomy and physiology of the living brain. Longitudinal MRI studies are beginning to map out the developmental trajectories of brain maturation and to explore the genetic and environmental influences on these trajectories in health and illness.

Motion artifact in magnetic resonance imaging: Implications for automated analysis of clinical samples

Automated measures of cerebral magnetic resonance images (MRI) often provide greater speed and reliability compared to manual techniques but can be particularly sensitive to motion artifact. This study employed an automatic MRI analysis program that quantified regional gray matter volume and created images for verification and quality control. Motion artifact was assessed on each image and assigned a rating of none, mild, moderate, or severe. Greater motion artifact was associated with smaller gray matter volumes. Severity of motion artifact is an important, but often overlooked, consideration in the interpretation of automated MRI measures.