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  • Clustering analysis  (1)
  • Frontal and temporal cortex  (1)
  • 1
    Electronic Resource
    Electronic Resource
    The identification of pathological subtypes of Alzheimer's disease using cluster analysis (1994)
    Springer
    Acta neuropathologica 88 (1994), S. 60-66 
    Details
    ISSN: 1432-0533
    Keywords: Alzheimer's disease ; Neuropathological criteria ; Clustering analysis ; Disease subtypes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract A culster analysis was performed on 78 cases of Alzheimer's disease (AD) to identify possible pathological subtypes of the disease. Data on 47 neuropathological variables, inculding features of the gross brain and the density and distribution of senile plaques (SP) and neurofibrillary tangles (NFT) were used to describe each case. Cluster analysis is a multivariate statistical method which combines together in groups, AD cases with the most similar neuropathological characteristics. The majority of cases (83%) were clustered into five such groups. The analysis suggested that an initial division of the 78 cases could be made into two major groups: (1) a large group (68%) in which the distribution of SP and NFT was restricted to a relatively small number of brain regions, and (2) a smaller group (15%) in which the lesions were more widely disseminated throughout the neocortex. Each of these groups could be subdivided on the degree of capillary amyloid angiopathy (CAA) present. In addition, those cases with a restricted development of SP/NFT and CAA could be divided further into an early and a late onset form. Familial AD cases did not cluster as a separate group but were either distributed between four of the five groups or were cases with unique combinations of pathological features not closely related to any of the groups. It was concluded that multivariate statistical methods may be of value in the classification of AD into subtypes.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00294360
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Quantification of pathological lesions in the frontal and temporal lobe of ten patients diagnosed with Pick’s disease (1999)
    Springer
    Acta neuropathologica 97 (1999), S. 456-462 
    Details
    ISSN: 1432-0533
    Keywords: Key words Pick’s disease ; Pick bodies ; Frontal and temporal cortex ; Alzheimer’s disease ; Principal ; components analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract The densities of Pick bodies (PB), Pick cells (PC), senile plaques (SP) and neurofibrillary tangles (NFT) in the frontal and temporal lobe were determined in ten patients diagnosed with Pick’s disease (PD). The density of PB was significantly higher in the dentate gyrus granule cells compared with the cortex and the CA sectors of the hippocampus. Within the hippocampus, the highest densities of PB were observed in sector CA1. PC were absent in the dentate gyrus and no significant differences in PC density were observed in the remaining brain regions. With the exception of two patients, the densities of SP and NFT were low with no significant differences in mean densities between cortical regions. In the hippocampus, the density of NFT was greatest in sector CA1. PB and PC densities were positively correlated in the frontal cortex but no correlations were observed between the PD and AD lesions. A principal components analysis (PCA) of the neuropathological variables suggested that variations in the densities of SP in the frontal cortex, temporal cortex and hippocampus were the most important sources of heterogeneity within the patient group. Variations in the densities of PB and NFT in the temporal cortex and hippocampus were of secondary importance. In addition, the PCA suggested that two of the ten patients were atypical. One patient had a higher than average density of SP and one familial patient had a higher density of NFT but few SP.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s004010051014
    Location Call Number Limitation Availability
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    Paper (German National Licenses)
    Fulltext
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