Hou Yanbing, Shang Huifang
Laboratory of Neurodegenerative Disorders, Department of Neurology, Rare Diseases Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Front Aging Neurosci. 2022 Jan 25;14:788846. doi: 10.3389/fnagi.2022.788846. eCollection 2022.
Cognitive impairment (CI) ranging from mild cognitive impairment (MCI) to dementia is a common and disturbing complication in patients with Parkinson's disease (PD). Numerous studies have focused on neuropathological mechanisms underlying CI in PD, along with the identification of specific biomarkers for CI. Magnetic resonance imaging (MRI), a promising method, has been adopted to examine the changes in the brain and identify the candidate biomarkers associated with CI. In this review, we have summarized the potential biomarkers for CI in PD which have been identified through multi-modal MRI studies. Structural MRI technology is widely used in biomarker research. Specific patterns of gray matter atrophy are promising predictors of the evolution of CI in patients with PD. Moreover, other MRI techniques, such as MRI related to small-vessel disease, neuromelanin-sensitive MRI, quantitative susceptibility mapping, MR diffusion imaging, MRI related to cerebrovascular abnormality, resting-state functional MRI, and proton magnetic resonance spectroscopy, can provide imaging features with a good degree of prediction for CI. In the future, novel combined biomarkers should be developed using the recognized analysis tools and predictive algorithms in both cross-sectional and longitudinal studies.
从轻度认知障碍(MCI)到痴呆的认知障碍(CI)是帕金森病(PD)患者常见且令人困扰的并发症。众多研究聚焦于PD中CI的神经病理机制,以及CI特异性生物标志物的识别。磁共振成像(MRI)作为一种有前景的方法,已被用于检查脑部变化并识别与CI相关的候选生物标志物。在本综述中,我们总结了通过多模态MRI研究确定的PD中CI的潜在生物标志物。结构MRI技术广泛应用于生物标志物研究。灰质萎缩的特定模式是PD患者CI进展的有前景的预测指标。此外,其他MRI技术,如与小血管疾病相关的MRI、神经黑色素敏感MRI、定量磁化率成像、磁共振扩散成像、与脑血管异常相关的MRI、静息态功能MRI和质子磁共振波谱,可为CI提供具有良好预测性的成像特征。未来,应在横断面和纵向研究中使用公认的分析工具和预测算法开发新的联合生物标志物。