Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China.
Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
J Neurosci Res. 2023 Jul;101(7):1154-1169. doi: 10.1002/jnr.25179. Epub 2023 Feb 28.
Mild cognitive impairment is a nonmotor complication in Parkinson's disease (PD) that have a high risk of developing dementia. White matter is associated with cognitive function in PD and the alterations may occur before the symptoms of the disease. Previous diffusion tensor imaging (DTI) studies lacked specificity to characterize the concrete contributions of distinct white matter tissue properties. This may lead to inconsistent conclusions about the alteration of white matter microstructure. Here, we used neurite orientation dispersion and density imaging (NODDI) and white matter fiber clustering method to uncover local white matter microstructures in PD with mild cognitive impairment (PD-MCI). This study included 23 PD-MCI and 20 PD with normal cognition (PD-NC) and 21 healthy controls (HC). To probe specific and fine-grained differences, metrics of NODDI and DTI in white matter fiber clusters were evaluated using along-tract analysis. Our results showed that PD-MCI patients had significantly lower neurite density index (NDI) and orientation dispersion index (ODI) in white matter fiber clusters in the prefrontal region. Correlation analysis and receiver operating characteristic (ROC) analysis revealed that the diagnostic performance of NODDI-derived metrics in cingulum bundle (2 clusters) and thalamo-frontal (2 clusters) were superior to DTI metrics. Our study provides a more specific insight to uncover local white matter abnormalities in PD-MCI, which benefit understanding the underlying mechanism of cognitive decline in PD and predicting the disease in advance.
轻度认知障碍是帕金森病(PD)的一种非运动并发症,其发展为痴呆的风险较高。白质与 PD 患者的认知功能有关,其改变可能发生在疾病症状出现之前。先前的弥散张量成像(DTI)研究缺乏特异性,无法描述特定白质组织特性的具体贡献。这可能导致对白质微观结构改变的结论不一致。在这里,我们使用神经丝取向分散和密度成像(NODDI)和白质纤维聚类方法来揭示轻度认知障碍帕金森病(PD-MCI)患者的局部白质微观结构。本研究包括 23 名 PD-MCI 患者、20 名 PD 认知正常(PD-NC)患者和 21 名健康对照(HC)。为了探究具体和细微的差异,我们使用沿轨迹分析评估了白质纤维束中 NODDI 和 DTI 的指标。我们的结果表明,PD-MCI 患者在前额区域的白质纤维束中神经丝密度指数(NDI)和取向弥散指数(ODI)显著降低。相关性分析和受试者工作特征(ROC)分析显示,神经丝取向分散和密度成像(NODDI)衍生指标在胼胝体束(2 个簇)和丘脑-额(2 个簇)中的诊断性能优于 DTI 指标。我们的研究提供了更具体的见解,以揭示 PD-MCI 中的局部白质异常,这有助于理解 PD 认知能力下降的潜在机制,并提前预测疾病。