Suppr超能文献

不同人群和聚类方法下帕金森病的MRI亚型

MRI subtypes in Parkinson's disease across diverse populations and clustering approaches.

作者信息

Inguanzo Anna, Mohanty Rosaleena, Poulakis Konstantinos, Ferreira Daniel, Segura Barbara, Albrecht Franziska, Muehlboeck J-Sebastian, Granberg Tobias, Sjöström Henrik, Svenningsson Per, Franzén Erika, Junqué Carme, Westman Eric

机构信息

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

Medical Psychology Unit, Department of Medicine, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.

出版信息

NPJ Parkinsons Dis. 2024 Aug 16;10(1):159. doi: 10.1038/s41531-024-00759-2.

Abstract

Parkinson's disease (PD) is clinically heterogeneous, which suggests the existence of subtypes; however, there has been no consensus regarding their characteristics. This study included 633 PD individuals across distinct cohorts: unmedicated de novo PD, medicated PD, mild-moderate PD, and a cohort based on diagnostic work-up in clinical practice. Additionally, 233 controls were included. Clustering based on cortical and subcortical gray matter measures was conducted with and without adjusting for global atrophy in the entire PD sample and validated within each cohort. Subtypes were characterized using baseline and longitudinal demographic and clinical data. Unadjusted results identified three clusters showing a gradient of neurodegeneration and symptom severity across the entire sample and the individual cohorts. When adjusting for global atrophy eight clusters were identified in the entire sample, lacking consistency in individual cohorts. This study identified atrophy-based subtypes in PD, emphasizing the significant impact of global atrophy on subtype number, patterns, and interpretation in cross-sectional analyses.

摘要

帕金森病(PD)在临床上具有异质性,这表明存在不同亚型;然而,关于其特征尚未达成共识。本研究纳入了来自不同队列的633名帕金森病患者:未经药物治疗的初发帕金森病患者、接受药物治疗的帕金森病患者、轻中度帕金森病患者以及基于临床实践诊断检查的一个队列。此外,还纳入了233名对照。在整个帕金森病样本中,基于皮质和皮质下灰质测量进行聚类分析,分别进行了不调整和调整全脑萎缩的分析,并在每个队列中进行了验证。使用基线和纵向人口统计学及临床数据对亚型进行特征描述。未调整的结果在整个样本和各个队列中识别出三个聚类,显示出神经退行性变和症状严重程度的梯度变化。在调整全脑萎缩后,在整个样本中识别出八个聚类,但在各个队列中缺乏一致性。本研究在帕金森病中识别出基于萎缩的亚型,强调了全脑萎缩在横断面分析中对亚型数量、模式及解释的重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a15/11329719/e5fb363b35f7/41531_2024_759_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验