Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern
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 Alzhe...
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MDPI AG
2021-02-01
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author | Baiwen Zhang Lan Lin Shuicai Wu Zakarea H. M. A. Al-Masqari |
author_facet | Baiwen Zhang Lan Lin Shuicai Wu Zakarea H. M. A. Al-Masqari |
author_sort | Baiwen Zhang |
collection | DOAJ |
description | 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. |
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format | Article |
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institution | Directory Open Access Journal |
issn | 2076-3425 |
language | English |
last_indexed | 2024-03-09T00:35:32Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
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series | Brain Sciences |
spelling | doaj.art-7fdb2588843d4092ac5138b376013be32023-12-11T18:10:13ZengMDPI AGBrain Sciences2076-34252021-02-0111227810.3390/brainsci11020278Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy PatternBaiwen Zhang0Lan Lin1Shuicai Wu2Zakarea H. M. A. Al-Masqari3Department of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, ChinaDepartment of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, ChinaDepartment of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, ChinaDepartment of Biomedical Engineering, Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, ChinaAlzheimer’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.https://www.mdpi.com/2076-3425/11/2/278Alzheimer’s diseaseatrophy subtypescortical thicknessmixture of expertsstructural magnetic resonance imagingneuropsychology |
spellingShingle | Baiwen Zhang Lan Lin Shuicai Wu Zakarea H. M. A. Al-Masqari Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern Brain Sciences Alzheimer’s disease atrophy subtypes cortical thickness mixture of experts structural magnetic resonance imaging neuropsychology |
title | Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern |
title_full | Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern |
title_fullStr | Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern |
title_full_unstemmed | Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern |
title_short | Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern |
title_sort | multiple subtypes of alzheimer s disease base on brain atrophy pattern |
topic | Alzheimer’s disease atrophy subtypes cortical thickness mixture of experts structural magnetic resonance imaging neuropsychology |
url | https://www.mdpi.com/2076-3425/11/2/278 |
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