Automated MRI-based classification of primary progressive aphasia variants

Degeneration of language regions in the dominant hemisphere can result in primary progressive aphasia (PPA), a clinical syndrome characterized by progressive deficits in speech and/or language function. Recent studies have identified three variants of PPA: progressive non-fluent aphasia (PNFA), semantic dementia (SD) and logopenic progressive aphasia (LPA). Each variant is associated with characteristic linguistic features, distinct patterns of brain atrophy, and different likelihoods of particular underlying pathogenic processes, which makes correct differential diagnosis highly clinically relevant. Evaluation of linguistic behavior can be challenging for non-specialists, and neuroimaging findings in single subjects are often difficult to evaluate by eye. We investigated the utility of automated structural MR image analysis to discriminate PPA variants (N = 86) from each other and from normal controls (N = 115). T1 images were preprocessed to obtain modulated grey matter (GM) images. Feature selection was performed with principal components analysis (PCA) on GM images as well as images of lateralized atrophy. PC coefficients were classified with linear support vector machines, and a cross-validation scheme was used to obtain accuracy rates for generalization to novel cases. The overall mean accuracy in discriminating between pairs of groups was 92.2%. For one pair of groups, PNFA and SD, we also investigated the utility of including several linguistic variables as features. Models with both imaging and linguistic features performed better than models with only imaging or only linguistic features. These results suggest that automated methods could assist in the differential diagnosis of PPA variants, enabling therapies to be targeted to likely underlying etiologies.     

Pseudoxanthoma Elasticum: A Streamlined,Ethnicity‐based Mutation Detection Strategy

Pseudoxanthoma elasticum (PXE), an autosomal recessive multisystem disorder, is caused by mutations in the ABCC6 gene, and approximately 300 distinct mutations representing >1,000 mutant alleles have been disclosed thus far. Few population‐based studies have reported mutational hotspots in some geographic areas. In this study, we attempted to correlate recurring mutations with the individuals’ ethnic origin. Specifically, we plotted our international database of 70 families from distinct or mixed ethnic backgrounds against their mutations. The frequent p.R1141X mutation was distributed widely across Europe, while deletion of exons 23–29 (del23–29) was encountered in Northern Europe and in Northern Mediterranean countries. p.R1138W may be a marker for French descent, evidenced by its presence also in French Canadians. The splice site transition mutation 3736–1G→A was seen in the neighboring countries Greece and Turkey, whereas 2542 delG occurs only in the Japanese. Two mutations seem to be present worldwide without evidence of a founder effect, p.Q378X and p.R1339C, suggesting the presence of mutational hotspots. Knowledge of this distribution will allow us to streamline mutation screening through a targeted, stepwise approach when the ethnicity of a patient is known. This will facilitate the identification of individuals at risk, improving their care to prevent ophthalmological and vascular disease. Clin Trans Sci 2010; Volume 3: 295–298     

Feasibility and acceptability of a multiple risk factor intervention: The Step Up randomized pilot trial

Background  

Interventions are needed which can successfully modify more than one disease risk factor at a time, but much remains to be learned about the acceptability, feasibility, and effectiveness of multiple risk factor (MRF) interventions. To address these issues and inform future intervention development, we conducted a randomized pilot trial (n = 52). This study was designed to assess the feasibility and acceptability of the Step Up program, a MRF cognitive-behavioral program designed to improve participants' mental and physical well-being by reducing depressive symptoms, promoting smoking cessation, and increasing physical activity.