• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

阿尔茨海默病中的脑白质高信号:病变概率图谱研究。

White Matter Hyperintensities in Alzheimer's Disease: A Lesion Probability Mapping Study.

机构信息

Department of Neurology, Medical University of Graz, Graz, Austria.

Department of Neurology and Center for Neurosciences, Imaging of Dementia and Aging Laboratory, University of California at Davis, CA, USA.

出版信息

J Alzheimers Dis. 2019;68(2):789-796. doi: 10.3233/JAD-180982.

DOI:10.3233/JAD-180982
PMID:30775995
Abstract

BACKGROUND/OBJECTIVE: Higher white matter hyperintensity (WMH) load has been reported in Alzheimer's disease (AD) patients in different brain regions when compared to controls. We aimed to assess possible differences of WMH spatial distribution between AD patients and age-matched controls by means of lesion probability maps.

METHODS

The present study included MRI scans of 130 probable AD patients with a mean age of 73.4±8.2 years from the Prospective Dementia Registry Austria Study and 130 age-matched healthy controls (HC) from the Austrian Stroke Prevention Family Study. Risk factors such as hypertension, diabetes mellitus, hypercholesterolemia, coronary artery disease, and smoking were assessed. Manually segmented FLAIR WMH masks were non-linearly registered to a template and voxel-based probability mapping was performed.

RESULTS

There were no significant between-group differences in cardiovascular risk factors and WMH volume. AD patients showed a significantly higher likelihood of having WMH in a bilateral periventricular distribution than controls before and after correcting for age, sex, cardiovascular risk factors, and ventricular volume (p≤0.05; threshold-free cluster enhancement corrected). There was no significant association between the periventricular WMH volume and cognitive decline of AD patients.

CONCLUSION

In AD, WMH were preferentially found in a periventricular location but the volume of lesions was unrelated to cognitive decline in our study irrespective of lesion location.

摘要

背景/目的:与对照组相比,阿尔茨海默病(AD)患者在不同脑区的脑白质高信号(WMH)负荷更高。我们旨在通过病灶概率图评估 AD 患者与年龄匹配的对照组之间 WMH 空间分布的差异。

方法

本研究纳入了来自奥地利前瞻性痴呆登记研究的 130 名可能的 AD 患者和来自奥地利卒中预防家族研究的 130 名年龄匹配的健康对照组(HC)的 MRI 扫描。评估了高血压、糖尿病、高胆固醇血症、冠心病和吸烟等危险因素。手动分割的 FLAIR WMH 掩模通过非线性方法注册到模板,并进行基于体素的概率映射。

结果

AD 患者与对照组之间在心血管危险因素和 WMH 体积方面没有显著差异。AD 患者的 WMH 双侧脑室周围分布的可能性显著高于对照组,无论是否校正年龄、性别、心血管危险因素和脑室体积(p≤0.05;阈值自由聚类增强校正)。脑室周围 WMH 体积与 AD 患者的认知下降之间没有显著相关性。

结论

在 AD 中,WMH 优先出现在脑室周围位置,但在本研究中,无论病灶位置如何,病灶体积与认知下降无关。

相似文献

1
White Matter Hyperintensities in Alzheimer's Disease: A Lesion Probability Mapping Study.阿尔茨海默病中的脑白质高信号:病变概率图谱研究。
J Alzheimers Dis. 2019;68(2):789-796. doi: 10.3233/JAD-180982.
2
Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population?基于 Fazekas 视觉评估量表的脑白质高信号能反映人群中的阿尔茨海默病病理吗?
Alzheimers Res Ther. 2024 Jul 10;16(1):157. doi: 10.1186/s13195-024-01525-5.
3
Spatial patterns of white matter hyperintensities associated with Alzheimer's disease risk factors in a cognitively healthy middle-aged cohort.与认知健康中年队列中阿尔茨海默病风险因素相关的脑白质高信号的空间模式。
Alzheimers Res Ther. 2019 Jan 24;11(1):12. doi: 10.1186/s13195-018-0460-1.
4
Topographic patterns of white matter hyperintensities are associated with multimodal neuroimaging biomarkers of Alzheimer's disease.脑白质高信号的拓扑模式与阿尔茨海默病的多模态神经影像学生物标志物相关。
Alzheimers Res Ther. 2021 Jan 18;13(1):29. doi: 10.1186/s13195-020-00759-3.
5
Association of Data-Driven White Matter Hyperintensity Spatial Signatures With Distinct Cerebral Small Vessel Disease Etiologies.基于数据驱动的脑白质高信号空间特征与不同的脑小血管病病因的相关性研究。
Neurology. 2022 Dec 5;99(23):e2535-e2547. doi: 10.1212/WNL.0000000000201186.
6
Peripheral (deep) but not periventricular MRI white matter hyperintensities are increased in clinical vascular dementia compared to Alzheimer's disease.与阿尔茨海默病相比,临床血管性痴呆患者外周(深部)而非脑室周围MRI白质高信号增加。
Brain Behav. 2016 Feb 16;6(3):e00438. doi: 10.1002/brb3.438. eCollection 2016 Mar.
7
Perivascular space and white matter hyperintensities in Alzheimer's disease: associations with disease progression and cognitive function.阿尔茨海默病中的血管周围间隙与白质高信号:与疾病进展和认知功能的关联
Alzheimers Res Ther. 2025 Mar 18;17(1):62. doi: 10.1186/s13195-025-01707-9.
8
Independent effects of white matter hyperintensities on cognitive, neuropsychiatric, and functional decline: a longitudinal investigation using the National Alzheimer's Coordinating Center Uniform Data Set.白质高信号对认知、神经精神和功能下降的独立影响:使用国家阿尔茨海默病协调中心统一数据集进行的纵向研究。
Alzheimers Res Ther. 2019 Jul 27;11(1):64. doi: 10.1186/s13195-019-0521-0.
9
A multiparametric MRI study of structural brain damage in dementia with lewy bodies: A comparison with Alzheimer's disease.路易体痴呆的结构脑损伤的多参数 MRI 研究:与阿尔茨海默病的比较。
Parkinsonism Relat Disord. 2021 Oct;91:154-161. doi: 10.1016/j.parkreldis.2021.09.025. Epub 2021 Sep 30.
10
Cardiorespiratory fitness attenuates age-associated aggregation of white matter hyperintensities in an at-risk cohort.心肺适能可减轻高危人群中与年龄相关的脑白质高信号的聚集。
Alzheimers Res Ther. 2018 Sep 24;10(1):97. doi: 10.1186/s13195-018-0429-0.

引用本文的文献

1
Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data.利用脑部磁共振成像(MRI)和可穿戴传感器数据的多模态机器学习方法用于神经退行性疾病的早期检测。
PLOS Digit Health. 2025 Apr 25;4(4):e0000795. doi: 10.1371/journal.pdig.0000795. eCollection 2025 Apr.
2
Retrospective analysis of Braak stage- and APOE4 allele-dependent associations between MR spectroscopy and markers of tau and neurodegeneration in cognitively unimpaired elderly.对认知正常的老年人中 Braak 分期和 APOE4 等位基因依赖性与 tau 和神经退行性变标志物的磁共振波谱分析之间的关联进行回顾性分析。
Neuroimage. 2024 Aug 15;297:120742. doi: 10.1016/j.neuroimage.2024.120742. Epub 2024 Jul 18.
3
Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population?
基于 Fazekas 视觉评估量表的脑白质高信号能反映人群中的阿尔茨海默病病理吗?
Alzheimers Res Ther. 2024 Jul 10;16(1):157. doi: 10.1186/s13195-024-01525-5.
4
Association of Loneliness with Functional Connectivity MRI, Amyloid-β PET, and Tau PET Neuroimaging Markers of Vulnerability for Alzheimer's Disease.孤独感与阿尔茨海默病易感性的功能连接 MRI、淀粉样蛋白-β PET 和 Tau PET 神经影像学标志物的关联。
J Alzheimers Dis. 2024;99(4):1473-1484. doi: 10.3233/JAD-231425.
5
Semantic Harmonization of Alzheimer's Disease Datasets Using AD-Mapper.使用 AD-Mapper 实现阿尔茨海默病数据集的语义协调。
J Alzheimers Dis. 2024;99(4):1409-1423. doi: 10.3233/JAD-240116.
6
Hierarchical based classification method based on fusion of Gaussian map descriptors for Alzheimer diagnosis using T-weighted magnetic resonance imaging.基于高斯图描述符融合的层次分类方法在 T1 加权磁共振成像阿尔茨海默病诊断中的应用。
Sci Rep. 2023 Aug 23;13(1):13734. doi: 10.1038/s41598-023-40635-2.
7
Spatial patterns of white matter hyperintensities: a systematic review.脑白质高信号的空间模式:一项系统综述
Front Aging Neurosci. 2023 May 11;15:1165324. doi: 10.3389/fnagi.2023.1165324. eCollection 2023.
8
Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer's disease?人工智能是否应与神经影像学结合用于阿尔茨海默病的诊断?
Front Aging Neurosci. 2023 Apr 18;15:1094233. doi: 10.3389/fnagi.2023.1094233. eCollection 2023.
9
Biomarkers Assessing Endothelial Dysfunction in Alzheimer's Disease.评估阿尔茨海默病患者血管内皮功能障碍的生物标志物。
Cells. 2023 Mar 22;12(6):962. doi: 10.3390/cells12060962.
10
Interpretable brain disease classification and relevance-guided deep learning.可解释的脑疾病分类与相关性引导的深度学习。
Sci Rep. 2022 Nov 24;12(1):20254. doi: 10.1038/s41598-022-24541-7.