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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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Autores principales: Zhang, Baiwen, Lin, Lan, Wu, Shuicai, Al-Masqari, Zakarea H. M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926857/
https://www.ncbi.nlm.nih.gov/pubmed/33672406
http://dx.doi.org/10.3390/brainsci11020278
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author Zhang, Baiwen
Lin, Lan
Wu, Shuicai
Al-Masqari, Zakarea H. M. A.
author_facet Zhang, Baiwen
Lin, Lan
Wu, Shuicai
Al-Masqari, Zakarea H. M. A.
author_sort Zhang, Baiwen
collection PubMed
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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spelling pubmed-79268572021-03-04 Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern Zhang, Baiwen Lin, Lan Wu, Shuicai Al-Masqari, Zakarea H. M. A. Brain Sci Article 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. MDPI 2021-02-23 /pmc/articles/PMC7926857/ /pubmed/33672406 http://dx.doi.org/10.3390/brainsci11020278 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Baiwen
Lin, Lan
Wu, Shuicai
Al-Masqari, Zakarea H. M. A.
Multiple Subtypes of Alzheimer’s Disease Base on Brain Atrophy Pattern
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926857/
https://www.ncbi.nlm.nih.gov/pubmed/33672406
http://dx.doi.org/10.3390/brainsci11020278
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