Suppr超能文献

纵向多模态功能成像:可视化帕金森病病理进展的重要工具。

Longitudinal Multimodal Functional Imaging: An Essential Tool for Visualizing Pathologic Progression in Parkinson's Disease.

作者信息

Martín-Bastida Antonio, Rodríguez-Oroz María Cruz

机构信息

Neurology and Neurosciences Department, Clínica Universidad de Navarra, Pamplona, Spain.

Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain.

出版信息

J Mov Disord. 2025 Jul;18(3):197-207. doi: 10.14802/jmd.24257. Epub 2025 Jun 8.

Abstract

Research on the pathophysiology of Parkinson's disease (PD) has traditionally been performed with functional magnetic resonance imaging (fMRI); however, only a few studies have been conducted in longitudinal cohorts. In the present literature review, we aim to summarize the most recent progress in functional fMRI studies in prospective cohorts and, more specifically, in combination with other biomarkers to track the disease progression of PD. This review focuses on the potential application of multimodal longitudinal functional approaches based on the current evidence for the purpose of understanding disease progression and monitoring future therapeutic interventions.

摘要

帕金森病(PD)病理生理学的研究传统上是通过功能磁共振成像(fMRI)进行的;然而,在纵向队列中开展的研究较少。在本次文献综述中,我们旨在总结前瞻性队列中功能磁共振成像研究的最新进展,更具体地说,是总结其与其他生物标志物相结合以追踪帕金森病疾病进展方面的最新进展。本综述基于当前证据,聚焦于多模态纵向功能方法在理解疾病进展和监测未来治疗干预方面的潜在应用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验