Suppr超能文献

使用相关性纤维束成像技术量化帕金森病6-羟基多巴胺模型中局部基底神经节结构连接性的变化。

Quantifying changes in local basal ganglia structural connectivity in the 6-hydroxydopamine model of Parkinson's Disease using correlational tractography.

作者信息

Moshchin Mikhail, Cheng Kevin P, Osting Susan, Laluzerne Matthew, Hurley Samuel A, Singh Ajay Paul, Trevathan James K, Brzeczkowski Andrea, Yu John-Paul J, Lake Wendell B, Ludwig Kip A, Suminski Aaron J

机构信息

University of Wisconsin-Madison, Madison, WI USA.

出版信息

Int IEEE EMBS Conf Neural Eng. 2023 Apr;2023. doi: 10.1109/ner52421.2023.10123839. Epub 2023 May 19.

Abstract

In recent years, tractography based on diffusion magnetic resonance imaging (dMRI) has become a popular tool for studying microstructural changes resulting from brain diseases like Parkinson's Disease (PD). Quantitative anisotropy (QA) is a parameter that is used in deterministic fiber tracking as a measure of connection between brain regions. It remains unclear, however, if microstructural changes caused by lesioning the median forebrain bundle (MFB) to create a Parkinsonian rat model can be resolved using tractography based on ex-vivo diffusion MRI. This study aims to fill this gap and enable future mechanistic research on structural changes of the whole brain network rodent models of PD. Specifically, it evaluated the ability of correlational tractography to detect structural changes in the MFB of 6-hydroxydopamine (6-OHDA) lesioned rats. The findings reveal that correlational tractography can detect structural changes in lesioned MFB and differentiate between the 6-OHDA and control groups. Imaging results are supported by behavioral and histological evidence demonstrating that 6-OHDA lesioned rats were indeed Parkinsonian. The results suggest that QA and correlational tractography is appropriate to examine local structural changes in rodent models of neurodegenerative disease. More broadly, we expect that similar techniques may provide insight on how disease alters structure throughout the brain, and as a tool to optimize therapeutic interventions.

摘要

近年来,基于扩散磁共振成像(dMRI)的纤维束成像已成为研究帕金森病(PD)等脑部疾病所致微观结构变化的常用工具。定量各向异性(QA)是一种用于确定性纤维追踪的参数,可作为衡量脑区之间连接性的指标。然而,通过损毁中脑前束(MFB)建立帕金森病大鼠模型所引起的微观结构变化能否通过基于离体扩散MRI的纤维束成像来分辨,目前尚不清楚。本研究旨在填补这一空白,并为未来对帕金森病全脑网络啮齿动物模型结构变化的机制研究提供可能。具体而言,该研究评估了相关纤维束成像检测6-羟基多巴胺(6-OHDA)损毁大鼠MFB结构变化的能力。研究结果表明,相关纤维束成像能够检测到损毁MFB的结构变化,并区分6-OHDA组和对照组。行为学和组织学证据支持成像结果,表明6-OHDA损毁大鼠确实患有帕金森病。结果表明,QA和相关纤维束成像适用于研究神经退行性疾病啮齿动物模型中的局部结构变化。更广泛地说,我们期望类似技术能够为疾病如何改变全脑结构提供见解,并作为优化治疗干预措施的一种工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/364a/10484213/80805c0af258/nihms-1928894-f0001.jpg

相似文献

8
Changes of olfactory tract in Parkinson's disease: a DTI tractography study.帕金森病嗅束的变化:DTI 示踪研究。
Neuroradiology. 2021 Feb;63(2):235-242. doi: 10.1007/s00234-020-02551-4. Epub 2020 Sep 11.

本文引用的文献

4
Epidemiology of Parkinson Disease.帕金森病的流行病学
Neurol Clin. 2016 Nov;34(4):955-965. doi: 10.1016/j.ncl.2016.06.012. Epub 2016 Aug 18.
8
Generalized q-sampling imaging.广义 q 采样成像。
IEEE Trans Med Imaging. 2010 Sep;29(9):1626-35. doi: 10.1109/TMI.2010.2045126. Epub 2010 Mar 18.

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