Abstract：
A mounting body of research points to cerebrovascular dysfunction as a fundamental element in the pathophysiology of Parkinson\'s disease (PD). In the current feasibility study, blood-oxygen-level-dependent (BOLD) MRI was used to measure cerebrovascular reactivity (CVR) in response to hypercapnia in 26 PD patients and 16 healthy controls (HC), and aimed to find a multivariate pattern specific to PD. Whole-brain maps of CVR amplitude (i.e., magnitude of response to CO2) and latency (i.e., time to reach maximum amplitude) were computed, which were further analyzed using scaled sub-profile model principal component analysis (SSM-PCA) with leave-one-out cross-validation. A meaningful pattern based on CVR latency was identified, which was named the PD CVR pattern (PD-CVRP). This pattern was characterized by relatively increased latency in basal ganglia, sensorimotor cortex, supplementary motor area, thalamus and visual cortex, as well as decreased latency in the cerebral white matter, relative to HC. There were no significant associations with clinical measures, though sample size may have limited our ability to detect significant associations. In summary, the PD-CVRP highlights the importance of cerebrovascular dysfunction in PD, and may be a potential biomarker for future clinical research and practice.
摘要：
越来越多的研究指出，脑血管功能障碍是帕金森氏病（PD）病理生理学的基本要素。在目前的可行性研究中,使用血氧水平依赖性（BOLD）MRI测量26例PD患者和16例健康对照（HC）对高碳酸血症的脑血管反应性（CVR），并旨在找到PD特有的多变量模式。CVR振幅的全脑图(即，对CO2的响应幅度)和延迟(即，达到最大振幅的时间)进行计算，使用带留一交叉验证的缩放子轮廓模型主成分分析(SSM-PCA)进一步分析。确定了基于CVR延迟的有意义的模式，这被称为PDCVR模式（PD-CVRP）。这种模式的特征是基底神经节潜伏期相对增加，感觉运动皮层,辅助电机区域,丘脑和视觉皮层，以及减少大脑白质的潜伏期,相对于HC。与临床指标没有显著关联，尽管样本量可能限制了我们检测显著关联的能力。总之,PD-CVRP强调了脑血管功能障碍在PD中的重要性，并且可能是未来临床研究和实践的潜在生物标志物。
