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作者:

Zhang Baiwen (Zhang Baiwen.) | Lin Lan (Lin Lan.) | Wu Shuicai (Wu Shuicai.) (学者:吴水才) | Al-Masqari Zakarea H M A (Al-Masqari Zakarea H M A.)

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摘要:

Alzheimer's disease (AD) is a disease of a heterogeneous nature, which can be disentangled by exploring the characteristics of each AD subtype in the brain structure, neuropathology, and cognition. In this study, a total of 192 AD and 228 cognitively normal (CN) subjects were obtained from the Alzheimer's disease Neuroimaging Initiative database. Based on the cortical thickness patterns, the mixture of experts method (MOE) was applied to the implicit model spectrum of transforms lined with each AD subtype, then their neuropsychological and neuropathological characteristics were analyzed. Furthermore, the piecewise linear classifiers composed of each AD subtype and CN were resolved, and each subtype was comprehensively explained. The following four distinct AD subtypes were discovered: bilateral parietal, frontal, and temporal atrophy AD subtype (occipital sparing AD subtype (OSAD), 29.2%), left temporal dominant atrophy AD subtype (LTAD, 22.4%), minimal atrophy AD subtype (MAD, 16.1%), and diffuse atrophy AD subtype (DAD, 32.3%). These four subtypes display their own characteristics in atrophy pattern, cognition, and neuropathology. Compared with the previous studies, our study found that some AD subjects showed obvious asymmetrical atrophy in left lateral temporal-parietal cortex, OSAD presented the worst cerebrospinal fluid levels, and MAD had the highest proportions of APOE ε4 and APOE ε2. The subtype characteristics were further revealed from the aspect of the model, making it easier for clinicians to understand. The results offer an effective support for individual diagnosis and prognosis.

关键词:

neuropsychology neuropathology atrophy subtypes Alzheimer’s disease cortical thickness structural magnetic resonance imaging mixture of experts

作者机构:

  • [ 1 ] [Zhang Baiwen]Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Lin Lan]Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wu Shuicai]Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Al-Masqari Zakarea H M A]Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China

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来源 :

Brain sciences

ISSN: 2076-3425

年份: 2021

期: 2

卷: 11

3 . 3 0 0

JCR@2022

ESI学科: NEUROSCIENCE & BEHAVIOR;

ESI高被引阀值:71

JCR分区:3

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WoS核心集被引频次: 0

SCOPUS被引频次: 21

ESI高被引论文在榜: 0 展开所有

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