Distinct patterns of voxel‐ and connection‐based white matter hyperintensity distribution and associated factors in early‐onset and late‐onset Alzheimer's disease

Hui Hong, Yutong Chen, Weiran Liu, Xiao Luo, Minming Zhang
{"title":"Distinct patterns of voxel‐ and connection‐based white matter hyperintensity distribution and associated factors in early‐onset and late‐onset Alzheimer's disease","authors":"Hui Hong, Yutong Chen, Weiran Liu, Xiao Luo, Minming Zhang","doi":"10.1002/dad2.12585","DOIUrl":null,"url":null,"abstract":"Abstract Introduction The distribution of voxel‐ and connection‐based white matter hyperintensity (WMH) patterns in early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD), as well as factors associated with these patterns, remain unclear. Method We analyzed the WMH distribution patterns in EOAD and LOAD at the voxel and connection levels, each compared with their age‐matched cognitively unimpaired participants. Linear regression assessed the independent effects of amyloid and vascular risk factors on WMH distribution patterns in both groups. Results Patients with EOAD showed increased WMH burden in the posterior region at the voxel level, and in occipital region tracts and visual network at the connection level, compared to controls. LOAD exhibited extensive involvement across various brain areas in both levels. Amyloid accumulation was associated WMH distribution in the early‐onset group, whereas the late‐onset group demonstrated associations with both amyloid and vascular risk factors. Discussion EOAD showed posterior‐focused WMH distribution pattern, whereas LOAD was with a wider distribution. Amyloid accumulation was associated with connection‐based WMH patterns in both early‐onset and late‐onset groups, with additional independent effects of vascular risk factors in late‐onset group. Highlights Both early‐onset Alzheimer's disease (EOAD) and late‐onset AD (LOAD) showed increased white matter hyperintensity (WMH) volume compared with their age‐matched cognitively unimpaired participants. EOAD and LOAD exhibited distinct patterns of WMH distribution, with EOAD showing a posterior‐focused pattern and LOAD displaying a wider distribution across both voxel‐ and connection‐based levels. In both EOAD and LOAD, amyloid accumulation was associated with connection‐based WMH patterns, with additional independent effects of vascular risk factors observed in LOAD.","PeriodicalId":516929,"journal":{"name":"Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring","volume":"83 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/dad2.12585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Introduction The distribution of voxel‐ and connection‐based white matter hyperintensity (WMH) patterns in early‐onset Alzheimer's disease (EOAD) and late‐onset Alzheimer's disease (LOAD), as well as factors associated with these patterns, remain unclear. Method We analyzed the WMH distribution patterns in EOAD and LOAD at the voxel and connection levels, each compared with their age‐matched cognitively unimpaired participants. Linear regression assessed the independent effects of amyloid and vascular risk factors on WMH distribution patterns in both groups. Results Patients with EOAD showed increased WMH burden in the posterior region at the voxel level, and in occipital region tracts and visual network at the connection level, compared to controls. LOAD exhibited extensive involvement across various brain areas in both levels. Amyloid accumulation was associated WMH distribution in the early‐onset group, whereas the late‐onset group demonstrated associations with both amyloid and vascular risk factors. Discussion EOAD showed posterior‐focused WMH distribution pattern, whereas LOAD was with a wider distribution. Amyloid accumulation was associated with connection‐based WMH patterns in both early‐onset and late‐onset groups, with additional independent effects of vascular risk factors in late‐onset group. Highlights Both early‐onset Alzheimer's disease (EOAD) and late‐onset AD (LOAD) showed increased white matter hyperintensity (WMH) volume compared with their age‐matched cognitively unimpaired participants. EOAD and LOAD exhibited distinct patterns of WMH distribution, with EOAD showing a posterior‐focused pattern and LOAD displaying a wider distribution across both voxel‐ and connection‐based levels. In both EOAD and LOAD, amyloid accumulation was associated with connection‐based WMH patterns, with additional independent effects of vascular risk factors observed in LOAD.
早发性和晚发性阿尔茨海默氏症患者基于体素和连接的白质高密度分布的不同模式及相关因素
摘要 引言 早发性阿尔茨海默病(EOAD)和晚发性阿尔茨海默病(LOAD)中基于象素和连接的白质高密度(WMH)分布模式以及与这些模式相关的因素仍不清楚。方法 我们分析了EOAD和LOAD患者在体素和连接水平上的WMH分布模式,并分别与年龄匹配的认知功能未受损的参与者进行了比较。线性回归评估了淀粉样蛋白和血管风险因素对两组 WMH 分布模式的独立影响。结果 与对照组相比,EOAD 患者在体素水平上显示后部区域的 WMH 负荷增加,在连接水平上显示枕区束和视觉网络的 WMH 负荷增加。LOAD患者在这两个层面上都表现出大脑各区域的广泛受累。早期发病组的淀粉样蛋白积累与WMH分布有关,而晚期发病组则与淀粉样蛋白和血管风险因素有关。讨论 EOAD表现为后部集中的WMH分布模式,而LOAD则分布较广。在早发组和晚发组中,淀粉样蛋白的积累都与以连接为基础的WMH模式有关,在晚发组中,血管风险因素具有额外的独立影响。研究要点 早发性阿尔茨海默病(EOAD)和晚发性阿尔茨海默病(LOAD)患者的白质高密度(WMH)体积都比年龄匹配的认知功能未受损的患者有所增加。EOAD和LOAD表现出不同的WMH分布模式,EOAD表现出以后部为中心的模式,而LOAD则在体素和连接水平上表现出更广泛的分布。在EOAD和LOAD中,淀粉样蛋白的积累都与基于连接的WMH模式有关,在LOAD中还观察到了血管风险因素的独立影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信