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Objective To develop a spatio-temporal model of mountainous Oncomelania hupensis snails based on the Bayes-ian model,and to analyze and identify the spatio-temporal pattern at a village scale. Methods The data including the intensity and spatial distribution of live and infected snails from 2000 to 2006 and the village boundary were collected. The independent and interactive spatio-temporal models were established,and then the best fitness model was selected to analyze the spatio-temporal pattern of live and infected snails. Results The interactive model of live snails and the independent model of infected snails were relative fitness models,and the models showed 95%CI(confidence interval)of the spatial and temporal coefficient included ze-ro,and indicated that the spatial and temporal correlation of live and infected snails was not significant at a village scale. Conclu-sion There is no significant spatial and temporal correlation of live and infected mountainous snails at a village scale,and the fur-thermore study should be carried out at a small scale.
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OBJECTIVES: We introduce a novel analysis method of spatio-temporal pattern analysis of EEG. Using it, we presents a results discriminating severe Alzheimer's disease patients from normal subjects. METHOD: To the groups of 10 Alzheimer's disease patients and 10 normal aged subjects, we applied the Karhunen-Loeve decomposition method and observed their principal patterns and time-varying dynamics. RESULTS: First, there was a first primary pattern of the eigenvector in Alzheimer's disease patients that showed opposite polarities at the left and the right hemispheric regions. Second, the Alzheimer's disease patients had significantly different average values of the eigenvector at the left parieto-temporal area than the normal controls did. Third, some Alzheimer's disease patients had one, coherent frequency component in the Fourier amplitude spectrum of the first pattern expansion coefficient. CONCLUSION: Our results suggest that the pathophysiologic site of Alzheimer's dementia may be left temporo-parietal area in brain and further studies need to evaluate whether the spatio-temoral pattern analysis could be used to diagnose Alzheimer's dementia patients.