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Author:

Zhang, Baiwen (Zhang, Baiwen.) | Lin, Lan (Lin, Lan.) | Liu, Lingyu (Liu, Lingyu.) | Shen, Xiaoqi (Shen, Xiaoqi.) | Wu, Shuicai (Wu, Shuicai.) (Scholars:吴水才)

Indexed by:

Scopus SCIE

Abstract:

Background: Gray matter (GM) density and cortical thickness (CT) obtained from structural magnetic resonance imaging are representative GM morphological measures that have been commonly used in Alzheimer's disease (AD) subtype research. However, how the two measures affect the definition of AD subtypes remains unclear. Methods: A total of 180 AD patients from the ADNI database were used to identify AD subgroups. The subtypes were identified via a data-driven strategy based on the density features and CT features, respectively. Then, the similarity between the two features in AD subtype definition was analyzed. Results: Four distinct subtypes were discovered by both density and CT features: diffuse atrophy AD, minimal atrophy AD (MAD), left temporal dominant atrophy AD (LTAD), and occipital sparing AD. The matched subtypes exhibited relatively high similarity in atrophy patterns and neuropsychological and neuropathological characteristics. They differed only in MAD and LTAD regarding the carrying of apolipoprotein E epsilon 2. Conclusions: The results verified that different representative morphological GM measurement methods could produce similar AD subtypes. Meanwhile, the influences of apolipoprotein E genotype, asymmetric disease progression, and their interactions should be considered and included in the AD subtype definition. This study provides a valuable reference for selecting features in future studies of AD subtypes.

Keyword:

Alzheimer's disease gray matter density matched Alzheimer's disease subtypes cortical thickness structural magnetic resonance imaging

Author Community:

  • [ 1 ] [Zhang, Baiwen]Beijing Univ Technol, Fac Environm & Life Sci, Dept Biomed Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Lan]Beijing Univ Technol, Fac Environm & Life Sci, Dept Biomed Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Lingyu]Beijing Univ Technol, Fac Environm & Life Sci, Dept Biomed Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Shen, Xiaoqi]Beijing Univ Technol, Fac Environm & Life Sci, Dept Biomed Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Shuicai]Beijing Univ Technol, Beijing Int Base Sci & Technol Cooperat, Intelligent Physiol Measurement & Clin Translat, Beijing 100124, Peoples R China

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Source :

BRAIN SCIENCES

Year: 2022

Issue: 2

Volume: 12

3 . 3

JCR@2022

3 . 3 0 0

JCR@2022

ESI Discipline: NEUROSCIENCE & BEHAVIOR;

ESI HC Threshold:37

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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