C. Deutsch

High-functioning autistic and normal school-age boys were compared using a whole-brain morphometric profile that includes both total brain volume and volumes of all major brain regions. We performed MRI-based morphometric analysis on the brains of 17 autistic and 15 control subjects, all male with normal intelligence, aged 7-11 years. Clinical neuroradiologists judged the brains of all subjects to be clinically normal. The entire brain was segmented into cerebrum, cerebellum, brainstem and ventricles. The cerebrum was subdivided into cerebral cortex, cerebral white matter, hippocampus-amygdala, caudate nucleus, globus pallidus plus putamen, and diencephalon (thalamus plus ventral diencephalon). Volumes were derived for each region and compared between groups both before and after adjustment for variation in total brain volume. Factor analysis was then used to group brain regions based on their intercorrelations. Volumes were significantly different between groups overall; and diencephalon, cerebral white matter, cerebellum and globus pallidus-putamen were significantly larger in the autistic group. Brain volumes were not significantly different overall after adjustment for total brain size, but this analysis approached significance and effect sizes and univariate comparisons remained notable for three regions, although not all in the same direction: cerebral white matter showed a trend towards being disproportionately larger in autistic boys, while cerebral cortex and hippocampus-amygdala showed trends toward being disproportionately smaller. Factor analysis of all brain region volumes yielded three factors, with central white matter grouping alone, and with cerebral cortex and hippocampus-amygdala grouping separately from other grey matter regions. This morphometric profile of the autistic brain suggests that there is an overall increase in brain volumes compared with controls. Additionally, results suggest that there may be differential effects driving white matter to be larger and cerebral cortex and hippocampus-amygdala to be relatively smaller in the autistic than in the typically developing brain. The cause of this apparent dissociation of cerebral cortical regions from subcortical regions and of cortical white from grey matter is unknown, and merits further investigation.

BACKGROUND: Physical distress resulting from medical problems has been found to cause increased behaviour problems in patients with intellectual disabilities (ID). Despite this fact, little has been documented on the medical problems of individuals with ID admitted for inpatient psychiatric care. We conducted an exploratory investigation based on a retrospective chart review of the medical problems and medications for 198 people with ID who had been admitted to a specialised inpatient psychiatric unit. Most patients were referred for admission because of aggressive, disruptive and self-injurious behaviours. The average length of stay was 17.6 days. METHODS: We tallied the total number of medical problems and medications listed in the patients' discharge summaries. Because longer stays are disruptive, costly and associated with greater overall impairment, we examined the relationship between length of stay and frequency of discharge medical diagnoses. We also assessed whether or not the number of psychoactive medications correlated with the number of medical diagnoses. The effects of other demographic and diagnostic variables on rates of medical diagnoses and medications were also evaluated, including gender, age group (16-25, 26-45, 46-60, >60), level of ID (mild, moderate or severe ID) and diagnosis of an autism spectrum disorder or Down syndrome (DS). RESULTS: Inpatients with a higher number of medical diagnoses had longer lengths of stay (Spearman r = +0.32, P < 0.0001). There was a significant correlation between number of psychoactive medications and number of medical problems (Spearman r = +0.32, P < 0.0001). The most frequent medical comorbidity was constipation, reported in 60% of the inpatients (n = 118), while gastro-esophageal reflux disease was identified in 38% (n = 75). Older inpatients had an increased number of medical problems, as might be expected, but a diagnosis of an autism spectrum disorder, gender and level of ID had no detectible effect on rates of either medical diagnoses or medications. There were only 13 inpatients with DS; in this modest sample, it was found that they had higher rates of osteoarthritis, cardiac problems, hearing loss, hypothyroidism and sleep apnoea than peers without DS, as is consistent with previous findings on overrepresented conditions in this trisomy. CONCLUSIONS: In the present study, individuals with ID admitted for inpatient psychiatric care exhibited high rates of medical problems, and these were associated with duration of inpatient stay. Based on these findings, further investigation of the effects of medical problems on behaviour among individuals with ID admitted for inpatient psychiatric care is warranted.

BACKGROUND: When assessing people with intellectual disabilities (ID), using the DSM-IV-TR can be challenging. Frequently, significant clinical data must be obtained from interviews with key informants. A new semi-structured interview tool was developed including behavioural descriptions of each DSM-IV-TR symptom criterion for a number of mood and anxiety disorders. A goal was to provide mental health clinicians with an instrument easy to use in clinical practice that would increase reliable identification of diagnostically important mood and anxiety symptoms. This is especially important given the fact that many experts believe these 'internalizing' clinical syndromes may often be missed in this population, because of characteristic limitations in expressive language skills. METHOD: To establish validity, the Mood and Anxiety Semi-structured (MASS) Interview-derived diagnoses were compared with clinical DSM-IV diagnoses derived from an extensive inpatient evaluation and classifications based on the Hamilton Depression Rating Scale for 93 psychiatric inpatients served on a specialized unit for people with ID and major mental health disorders. RESULTS: Agreement with the MASS Interview was high yielding significant kappa coefficients ranging from 0.42 to 0.78. CONCLUSIONS: The MASS Interview, a semi-structured interview containing behavioural descriptions of DSM-IV symptom criteria, shows promise as a potentially helpful tool in the psychiatric diagnostic evaluation of persons with ID and limited expressive language skills, in the detection of mood and anxiety disorders. The tool also yields a wide breadth of clinical information and is easy for mental health clinicians to use.