Distinguishing Goldenhar Syndrome from Craniofacial Microsomia.

Goldenhar syndrome is characterized by the typical features of craniofacial microsomia (CFM) with the addition of epibulbar dermoids and vertebral anomalies. The aim of this study is to examine the objective differences between patients carrying a diagnosis of Goldenhar syndrome to those diagnosed with CFM. Thus, we performed an Institutional Review Board-approved retrospective chart review on all patients who presented with a diagnosis of CFM or Goldenhar syndrome from January 1990 to December 2012. Demographic, diagnosis, OMENS+ classification, accompanying diagnoses, and radiographic data were collected. For subjective analysis, subgroups were designed based on the diagnosis Goldenhar syndrome or CFM per history. For objective analysis, subgroups were designed based on the presence of epibulbar dermoids and/or vertebral anomalies. The cohorts were compared with respect to associated medical abnormalities and severity of CFM features. One hundred thirty eight patients met inclusion criteria. Epibulbar dermoids and vertebral anomalies were seen in 17% and 34% of the patients, respectively. Only 10 patients (7.2%) had both epibulbar dermoids and vertebral anomalies. The subjective "Goldenhar" group (N = 44, 32%) was found to have a higher percentage of bilaterally affected patients (P = 0.001), a more severe mandibular deformity (P = <0.001), a more severe soft tissue deformity (P = 0.01), and a higher incidence of macrostomia (P = 0.003). In the objective subgroup analysis, the only significant difference was found in the degree of soft tissue deficiency (P = 0.049). The diagnostic criteria of Goldenhar syndrome remain unclear, thereby making clinical use of the term "Goldenhar" inconsequential. Goldenhar syndrome is over diagnosed subjectively in patients who show more severe CFM features.

Anatomical correlates of age-related working memory declines.

Aging studies consistently show a relationship between decreased gray matter volume and decreased performance on working memory tasks. Few aging studies have investigated white matter changes in relation to functional brain changes during working memory tasks. Twenty-five younger and 25 older adults underwent anatomical magnetic resonance imaging (MRI) scans to measure gray matter volume, diffusion tensor imaging (DTI) to measure fractional anisotropy (FA) as a measure of white matter integrity, and functional magnetic resonance imaging (fMRI) while performing a working memory task. Significant increases in activation (fMRI) were seen in the left dorsal and ventral lateral prefrontal cortex with increased working memory load and with increased age (older showing greater bilateral activation). Partial correlational analyses revealed that even after controlling for age, frontal FA correlated significantly with fMRI activation during performance on the working memory task. These findings highlight the importance of white matter integrity in working memory performance associated with normal aging.