Journal
EXPERIMENTAL GERONTOLOGY
Volume 35, Issue 6-7, Pages 851-864Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0531-5565(00)00147-9
Keywords
Alzheimer's disease; brain pathology; pattern recognition; grade-of membership analysis; fuzzy logic; latent class analysis; neurofibrillary tangles; diffuse plaque; neuritic plaque; dementia
Categories
Funding
- NIA NIH HHS [P20-AG12852-02] Funding Source: Medline
Ask authors/readers for more resources
Density profiles of Alzheimer's disease (AD) regional brain pathology were constructed for 249 subjects in the Huddinge Brain Bank. Counts: per square millimeter for neurofibrillary tangles (NFT), diffuse plaques (DP), and neuritic plaques (NP) in 38 areas were investigated using a pattern recognition technique called GoM. The seven distributional profiles of AD neuropathology emulated and expanded upon Braak staging illustrating induction (Groups 1-3) and clinical progression (Groups 4-7). Normal aging represented limited AD changes, few NFT in the entorhinal cortex and hippocampal CA1 (Group 1). The threshold fur possible AD was NFT in the subiculum (Group 2). found with DP in the neocortex. Temporal medial NFT was the threshold for probable AD (Group 4). The 'oldest-old', often demented without brain atrophy, had extensive entorhinal/CA1 NFT and cortical DP, but few cortical NFT or NP (Group 5). A second subtype 'disconnection' (Group 6) lacked AD pathology for a specific set of subcortical and cortical areas. Accumulation of NFT in first-affected areas continued through end-stage disease (Group 7), with apparent rapid transition of DP to NP in the cortex during clinical progression. The evolution of AD is a highly ordered sequential process. Pattern recognition approaches such as GoM may be useful in better defining the process. (C) 2000 Elsevier Science Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available