Exploring the knowledge contained in neuroimages: Statistical discriminant analysis and automatic segmentation of the most significant changes

Objective: The aim of this article is to propose an integrated framework for extracting and describing patterns of disorders from medical images using a combination of linear discriminant analysis and active contour models. Methods: A multivariate statistical methodology was first used to identify the most discriminating hyperplane separating two groups of images (from healthy controls and patients with schizophrenia) contained in the input data. After this, the present work makes explicit the differences found by the multivariate statistical method by subtracting the discriminant models of controls and patients, weighted by the pooled variance between the two groups. A variational level-set technique was used to segment clusters of these differences. We obtain a label of each anatomical change using the Talairach atlas. Results: In this work all the data was analysed simultaneously rather than assuming a priori regions of interest. As a consequence of this, by using active contour models, we were able to obtain regions of interest that were emergent from the data. The results were evaluated using, as gold standard, well-known facts about the neuroanatomical changes related to schizophrenia. Most of the items in the gold standard was covered in our result set. Conclusions: We argue that such investigation provides a suitable framework for characterising the high complexity of magnetic resonance images in schizophrenia as the results obtained indicate a high sensitivity rate with respect to the gold standard. (C) 2010 Elsevier B.V. All rights reserved.

Nutritional knowledge, eating attitudes and chronic dietary restraint among men with eating disorders

We compared nutritional knowledge, eating attitudes and chronic dietary restraint scores among 17 men (10 with bulimia nervosa and 7 with anorexia nervosa) and 50 women (20 with bulimia nervosa and 30 with anorexia nervosa), who were consecutive patients at a major treatment center in Brazil. There were no differences in nutritional knowledge and concern with food between men and women. For both genders, chronic dietary restraint scores were higher among bulimics. Men with eating disorders had better eating attitudes scores than women. Anorexic men tended to have worse eating attitudes scores than bulimic men, while the opposite was observed for women, suggesting an interaction between gender and diagnosis. (C) 2009 Published by Elsevier Ltd.

Intracultural Diversity in Food Knowledge in Southern Brazil

This research explores the social distribution of food knowledge in Ribeirao Preto, a city in the state of Sao Paulo, Brazil. Through an analysis of the distribution of individual expertise in regard to the cultural model of food along the dimensions of healthfulness, practicality, and prestige, this research demonstrates that knowledge of the cultural model of food is most strongly shared in the upper class of the city. Qualitative and quantitative ethnographic research suggests that the social patterning of health-related food knowledge in Ribeirao Preto may serve to maintain class distinction.