• 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

不同的神经退行性模式:基于[F]氟脱氧葡萄糖正电子发射断层扫描(PET)和磁共振成像(MRI)的阿尔茨海默病亚型比较。

Divergent neurodegenerative patterns: Comparison of [F] fluorodeoxyglucose-PET- and MRI-based Alzheimer's disease subtypes.

作者信息

Wheatley Sophia H, Mohanty Rosaleena, Poulakis Konstantinos, Levin Fedor, Muehlboeck J Sebastian, Nordberg Agneta, Grothe Michel J, Ferreira Daniel, Westman Eric

机构信息

Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, 171 77 Stockholm, Sweden.

Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), 18147 Rostock, Germany.

出版信息

Brain Commun. 2024 Nov 23;6(6):fcae426. doi: 10.1093/braincomms/fcae426. eCollection 2024.

DOI:10.1093/braincomms/fcae426
PMID:39703327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11656166/
Abstract

[F] fluorodeoxyglucose (FDG)-PET and MRI are key imaging markers for neurodegeneration in Alzheimer's disease. It has been well established that parieto-temporal hypometabolism on FDG-PET is closely associated with medial temporal atrophy on MRI in Alzheimer's disease. Substantial biological heterogeneity, expressed as distinct subtypes of hypometabolism or atrophy patterns, has been previously described in Alzheimer's disease using data-driven and hypothesis-driven methods. However, the link between these two imaging modalities has not yet been explored in the context of Alzheimer's disease subtypes. To investigate this link, the current study utilized FDG-PET and MRI scans from 180 amyloid-beta positive Alzheimer's disease dementia patients, 339 amyloid-beta positive mild cognitive impairment and 176 amyloid-beta negative cognitively normal controls from the Alzheimer's Disease Neuroimaging Initiative. Random forest hierarchical clustering, a data-driven model for identifying subtypes, was implemented in the two modalities: one with standard uptake value ratios and the other with grey matter volumes. Five hypometabolism- and atrophy-based subtypes were identified, exhibiting both cortical-predominant and limbic-predominant patterns although with differing percentages and clinical presentations. Three cortical-predominant hypometabolism subtypes found were Cortical Predominant (32%), Cortical Predominant+ (11%) and Cortical Predominant posterior (8%), and two limbic-predominant hypometabolism subtypes found were Limbic Predominant (36%) and Limbic Predominant frontal (13%). In addition, little atrophy (minimal) and widespread (diffuse) neurodegeneration subtypes were observed from the MRI data. The five atrophy subtypes found were Cortical Predominant (19%), Limbic Predominant (27%), Diffuse (29%), Diffuse+ (6%) and Minimal (19%). Inter-modality comparisons showed that all FDG-PET subtypes displayed medial temporal atrophy, whereas the distinct MRI subtypes showed topographically similar hypometabolic patterns. Further, allocations of FDG-PET and MRI subtypes were not consistent when compared at an individual level. Additional analysis comparing the data-driven clustering model with prior hypothesis-driven methods showed only partial agreement between these subtyping methods. FDG-PET subtypes had greater differences between limbic-predominant and cortical-predominant patterns, and MRI subtypes had greater differences in severity of atrophy. In conclusion, this study highlighted that Alzheimer's disease subtypes identified using both FDG-PET and MRI capture distinct pathways showing cortical versus limbic predominance of neurodegeneration. However, the subtypes do not share a bidirectional relationship between modalities and are thus not interchangeable.

摘要

[F] 氟脱氧葡萄糖(FDG)-正电子发射断层扫描(PET)和磁共振成像(MRI)是阿尔茨海默病神经退行性变的关键影像学标志物。已有充分证据表明,FDG-PET上的顶颞叶低代谢与阿尔茨海默病MRI上的内侧颞叶萎缩密切相关。先前使用数据驱动和假设驱动的方法在阿尔茨海默病中描述了显著的生物学异质性,表现为低代谢或萎缩模式的不同亚型。然而,在阿尔茨海默病亚型的背景下,这两种成像方式之间的联系尚未得到探索。为了研究这种联系,本研究利用了来自阿尔茨海默病神经影像学倡议组织的180例淀粉样蛋白β阳性的阿尔茨海默病痴呆患者、339例淀粉样蛋白β阳性的轻度认知障碍患者和176例淀粉样蛋白β阴性的认知正常对照的FDG-PET和MRI扫描数据。在两种成像方式中实施了随机森林层次聚类,这是一种用于识别亚型的数据驱动模型:一种是基于标准摄取值比率,另一种是基于灰质体积。识别出了五种基于低代谢和萎缩的亚型,尽管百分比和临床表现不同,但均呈现皮质为主和边缘叶为主的模式。发现的三种皮质为主的低代谢亚型分别是皮质为主型(32%)、皮质为主加强型(11%)和皮质为主后型(8%),发现的两种边缘叶为主的低代谢亚型分别是边缘叶为主型(36%)和边缘叶为主额叶型(13%)。此外,从MRI数据中观察到了轻度萎缩(最小)和广泛(弥漫)神经退行性变亚型。发现的五种萎缩亚型分别是皮质为主型(19%)、边缘叶为主型(27%)、弥漫型(29%)、弥漫加强型(6%)和最小型(19%)。模态间比较表明,所有FDG-PET亚型均显示内侧颞叶萎缩,而不同的MRI亚型显示出地形上相似的低代谢模式。此外,在个体水平上比较时,FDG-PET和MRI亚型的分配不一致。将数据驱动的聚类模型与先前的假设驱动方法进行比较的额外分析表明,这些亚型分类方法之间仅部分一致。FDG-PET亚型在边缘叶为主和皮质为主模式之间的差异更大,而MRI亚型在萎缩严重程度方面的差异更大。总之,本研究强调,使用FDG-PET和MRI识别的阿尔茨海默病亚型捕捉到了显示皮质与边缘叶神经退行性变优势的不同途径。然而,这些亚型在模态之间不存在双向关系,因此不可互换。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/9c5cc25a8ded/fcae426f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/504c6f6c1d2c/fcae426_ga.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/de309007d858/fcae426f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/98dd8ddd9373/fcae426f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/7a59b3c2553f/fcae426f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/9c5cc25a8ded/fcae426f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/504c6f6c1d2c/fcae426_ga.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/de309007d858/fcae426f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/98dd8ddd9373/fcae426f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/7a59b3c2553f/fcae426f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115f/11656166/9c5cc25a8ded/fcae426f4.jpg

相似文献

1
Divergent neurodegenerative patterns: Comparison of [F] fluorodeoxyglucose-PET- and MRI-based Alzheimer's disease subtypes.不同的神经退行性模式:基于[F]氟脱氧葡萄糖正电子发射断层扫描(PET)和磁共振成像(MRI)的阿尔茨海默病亚型比较。
Brain Commun. 2024 Nov 23;6(6):fcae426. doi: 10.1093/braincomms/fcae426. eCollection 2024.
2
Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration.基于数据驱动的阿尔茨海默病相关神经退行性变的 FDG-PET 亚型。
Alzheimers Res Ther. 2021 Feb 19;13(1):49. doi: 10.1186/s13195-021-00785-9.
3
Cortical hypometabolism reflects local atrophy and tau pathology in symptomatic Alzheimer's disease.皮质代谢减退反映了症状性阿尔茨海默病的局部萎缩和 tau 病理学。
Brain. 2022 Apr 18;145(2):713-728. doi: 10.1093/brain/awab294.
4
Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease.Tau正电子发射断层扫描(PET)模式反映了阿尔茨海默病的临床和神经解剖学变异性。
Brain. 2016 May;139(Pt 5):1551-67. doi: 10.1093/brain/aww027. Epub 2016 Mar 8.
5
Molecular neuroimaging in dominantly inherited versus sporadic early-onset Alzheimer's disease.常染色体显性遗传与散发性早发型阿尔茨海默病的分子神经影像学
Brain Commun. 2024 May 3;6(3):fcae159. doi: 10.1093/braincomms/fcae159. eCollection 2024.
6
Imaging Biomarkers of Neurodegeneration in Alzheimer's Disease: Distinct Contributions of Cortical MRI Atrophy and FDG-PET Hypometabolism.阿尔茨海默病神经退行性变的影像学生物标志物:皮质 MRI 萎缩和 FDG-PET 低代谢的不同贡献。
J Alzheimers Dis. 2018;65(4):1147-1157. doi: 10.3233/JAD-180292.
7
Parallel ICA of FDG-PET and PiB-PET in three conditions with underlying Alzheimer's pathology.在三种存在潜在阿尔茨海默病病理学特征的情况下,对氟代脱氧葡萄糖正电子发射断层扫描(FDG-PET)和匹兹堡化合物B正电子发射断层扫描(PiB-PET)进行并行独立成分分析。
Neuroimage Clin. 2014 Mar 19;4:508-16. doi: 10.1016/j.nicl.2014.03.005. eCollection 2014.
8
Atrophy, hypometabolism and clinical trajectories in patients with amyloid-negative Alzheimer's disease.淀粉样蛋白阴性阿尔茨海默病患者的萎缩、低代谢及临床病程
Brain. 2016 Sep;139(Pt 9):2528-39. doi: 10.1093/brain/aww159. Epub 2016 Jun 29.
9
Regional multimodal relationships between tau, hypometabolism, atrophy, and fractional anisotropy in atypical Alzheimer's disease.非典型阿尔茨海默病中 tau 蛋白、代谢低下、萎缩和各向异性分数之间的区域性多模态关系。
Hum Brain Mapp. 2019 Apr 1;40(5):1618-1631. doi: 10.1002/hbm.24473. Epub 2018 Dec 13.
10
A generalizable data-driven model of atrophy heterogeneity and progression in memory clinic settings.记忆门诊环境中萎缩异质性和进展的可推广数据驱动模型。
Brain. 2024 Jul 5;147(7):2400-2413. doi: 10.1093/brain/awae118.

本文引用的文献

1
Retrospective Evaluation of Neuropathologic Proxies of the Minimal Atrophy Subtype Compared With Corticolimbic Alzheimer Disease Subtypes.回顾性评估最小萎缩型与皮质边缘型阿尔茨海默病亚型的神经病理学替代标志物。
Neurology. 2023 Oct 3;101(14):e1412-e1423. doi: 10.1212/WNL.0000000000207685. Epub 2023 Aug 14.
2
FDG-PET markers of heterogeneity and different risk of progression in amnestic MCI.遗忘型轻度认知障碍(amnestic MCI)中异质性和不同进展风险的 FDG-PET 标志物。
Alzheimers Dement. 2024 Jan;20(1):159-172. doi: 10.1002/alz.13385. Epub 2023 Jul 28.
3
Characteristics of amnestic patients with hypometabolism patterns suggestive of Lewy body pathology.
遗忘型患者的特征表现为代谢低下模式,提示路易体病理。
Brain. 2023 Nov 2;146(11):4520-4531. doi: 10.1093/brain/awad194.
4
2023 Alzheimer's disease facts and figures.2023 年阿尔茨海默病事实和数据。
Alzheimers Dement. 2023 Apr;19(4):1598-1695. doi: 10.1002/alz.13016. Epub 2023 Mar 14.
5
Associations between different tau-PET patterns and longitudinal atrophy in the Alzheimer's disease continuum: biological and methodological perspectives from disease heterogeneity.不同 tau-PET 模式与阿尔茨海默病连续体中纵向萎缩的相关性:疾病异质性的生物学和方法学观点。
Alzheimers Res Ther. 2023 Feb 22;15(1):37. doi: 10.1186/s13195-023-01173-1.
6
The hippocampal sparing subtype of Alzheimer's disease assessed in neuropathology and in vivo tau positron emission tomography: a systematic review.阿尔茨海默病海马保留亚型的神经病理学和体内 tau 正电子发射断层扫描评估:系统评价。
Acta Neuropathol Commun. 2022 Nov 14;10(1):166. doi: 10.1186/s40478-022-01471-z.
7
Differential diagnosis of amnestic dementia patients based on an FDG-PET signature of autopsy-confirmed LATE-NC.基于经尸检证实的晚期非典型额颞叶痴呆的 FDG-PET 特征对遗忘型痴呆患者进行鉴别诊断。
Alzheimers Dement. 2023 Apr;19(4):1234-1244. doi: 10.1002/alz.12763. Epub 2022 Aug 15.
8
Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease.多队列和纵向贝叶斯聚类研究阿尔茨海默病的分期和亚型。
Nat Commun. 2022 Aug 5;13(1):4566. doi: 10.1038/s41467-022-32202-6.
9
F-FDG PET Imaging in Neurodegenerative Dementing Disorders: Insights into Subtype Classification, Emerging Disease Categories, and Mixed Dementia with Copathologies.正电子发射断层扫描(PET)在神经退行性痴呆中的应用:对亚型分类、新兴疾病类别以及合并病理的混合性痴呆的深入了解。
J Nucl Med. 2022 Jun;63(Suppl 1):2S-12S. doi: 10.2967/jnumed.121.263194.
10
Disentangling tau and brain atrophy cluster heterogeneity across the Alzheimer's disease continuum.解析阿尔茨海默病连续体中tau蛋白和脑萎缩簇的异质性。
Alzheimers Dement (N Y). 2022 May 23;8(1):e12305. doi: 10.1002/trc2.12305. eCollection 2022.