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帕金森病亚型及其与可能的快速眼动睡眠行为障碍严重程度的关联:一项脑干纤维束成像和机器学习研究。

Parkinson's disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation.

作者信息

Vijayakumari Anupa A, Sakaie Ken E, Fernandez Hubert H, Walter Benjamin L

机构信息

Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.

Imaging Institute, Mellen Center, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.

出版信息

Brain Imaging Behav. 2025 Feb;19(1):189-194. doi: 10.1007/s11682-024-00956-w. Epub 2024 Dec 19.

Abstract

Rapid Eye Movement (REM) sleep behavior disorder (RBD) affects nearly half of Parkinson's disease (PD) patients. However, the structural heterogeneity within the brainstem, which regulates REM sleep, remains largely unexplored in PD. Our objective was to identify distinct PD subtypes based on microstructural characteristics in the brainstem and examine their associations with the severity of RBD. Data, including diffusion tensor imaging and REM sleep behavior disorder screening questionnaire (RBDSQ) responses, were obtained from 124 PD patients and 61 healthy controls through the Parkinson's Progression Marker Initiative database. Mean Quantitative Anisotropy (QA) values, representing axonal density, were extracted from 14 brainstem tracts and input into the semi-supervised machine learning algorithm, Heterogeneity through Discriminative Analysis (HYDRA), to cluster subtypes. Applying HYDRA, we identified two distinct PD subtypes (Subtype 1: n = 66, Subtype 2: n = 58). Subtype 2 exhibited reduced QA across assessed brainstem tracts and significantly higher RBDSQ scores than Subtype 1 and healthy controls (p < 0.001). Conversely, Subtype 1, characterized by lower RBDSQ scores, exhibited increased QA, notably in the right medial longitudinal fasciculus, when compared to Subtype 2 and controls (p < 0.001). These findings suggest that heterogeneous axonal damage in brainstem circuits correlates with variations in RBD severity, providing insights into the neurobiological underpinnings of early PD.

摘要

快速眼动(REM)睡眠行为障碍(RBD)影响着近一半的帕金森病(PD)患者。然而,在调节快速眼动睡眠的脑干内,其结构异质性在帕金森病中仍 largely未被探索。我们的目标是根据脑干的微观结构特征识别不同的帕金森病亚型,并研究它们与快速眼动睡眠行为障碍严重程度的关联。通过帕金森病进展标记物倡议数据库,从124名帕金森病患者和61名健康对照者那里获取了包括扩散张量成像和快速眼动睡眠行为障碍筛查问卷(RBDSQ)回答在内的数据。从14条脑干束中提取代表轴突密度的平均定量各向异性(QA)值,并将其输入半监督机器学习算法——判别分析异质性(HYDRA)——以对亚型进行聚类。应用HYDRA,我们识别出两种不同的帕金森病亚型(亚型1:n = 66,亚型2:n = 58)。与亚型1和健康对照相比,亚型2在评估的脑干束中QA降低,且RBDSQ得分显著更高(p < 0.001)。相反,以较低RBDSQ得分为特征的亚型1,与亚型2和对照相比,QA增加,尤其是在右侧内侧纵束(p < 0.001)。这些发现表明,脑干回路中异质性轴突损伤与快速眼动睡眠行为障碍严重程度的变化相关,为早期帕金森病的神经生物学基础提供了见解。

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