Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review.

IF 3.1 Q2 NEUROSCIENCES AIMS Neuroscience Pub Date : 2023-12-11 eCollection Date: 2023-01-01 DOI:10.3934/Neuroscience.2023030

Arosh S Perera Molligoda Arachchige, Anton Kristoffer Garner

{"title":"Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review.","authors":"Arosh S Perera Molligoda Arachchige, Anton Kristoffer Garner","doi":"10.3934/Neuroscience.2023030","DOIUrl":null,"url":null,"abstract":"<p><p>Seven tesla magnetic resonance imaging (7T MRI) is known to offer a superior spatial resolution and a signal-to-noise ratio relative to any other non-invasive imaging technique and provides the possibility for neuroimaging researchers to observe disease-related structural changes, which were previously only apparent on post-mortem tissue analyses. Alzheimer's disease is a natural and widely used subject for this technology since the 7T MRI allows for the anticipation of disease progression, the evaluation of secondary prevention measures thought to modify the disease trajectory, and the identification of surrogate markers for treatment outcome. In this editorial, we discuss the various neuroimaging biomarkers for Alzheimer's disease that have been studied using 7T MRI, which include morphological alterations, molecular characterization of cerebral T2*-weighted hypointensities, the evaluation of cerebral microbleeds and microinfarcts, biochemical changes studied with MR spectroscopy, as well as some other approaches. Finally, we discuss the limitations of the 7T MRI regarding imaging Alzheimer's disease and we provide our outlook for the future.</p>","PeriodicalId":7732,"journal":{"name":"AIMS Neuroscience","volume":"10 4","pages":"401-422"},"PeriodicalIF":3.1000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10767068/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIMS Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/Neuroscience.2023030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Seven tesla magnetic resonance imaging (7T MRI) is known to offer a superior spatial resolution and a signal-to-noise ratio relative to any other non-invasive imaging technique and provides the possibility for neuroimaging researchers to observe disease-related structural changes, which were previously only apparent on post-mortem tissue analyses. Alzheimer's disease is a natural and widely used subject for this technology since the 7T MRI allows for the anticipation of disease progression, the evaluation of secondary prevention measures thought to modify the disease trajectory, and the identification of surrogate markers for treatment outcome. In this editorial, we discuss the various neuroimaging biomarkers for Alzheimer's disease that have been studied using 7T MRI, which include morphological alterations, molecular characterization of cerebral T2*-weighted hypointensities, the evaluation of cerebral microbleeds and microinfarcts, biochemical changes studied with MR spectroscopy, as well as some other approaches. Finally, we discuss the limitations of the 7T MRI regarding imaging Alzheimer's disease and we provide our outlook for the future.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

七特斯拉核磁共振成像在阿尔茨海默病研究中的应用：最新技术和未来方向：综述。

众所周知，七特斯拉磁共振成像（7T MRI）的空间分辨率和信噪比优于任何其他非侵入性成像技术，为神经成像研究人员提供了观察与疾病相关的结构变化的可能性，而这些变化以前只能在尸检组织分析中看到。阿尔茨海默病自然是这项技术的广泛应用对象，因为 7T 磁共振成像可以预测疾病的进展，评估被认为可以改变疾病轨迹的二级预防措施，并确定治疗结果的替代标记物。在这篇社论中，我们讨论了使用 7T MRI 研究阿尔茨海默病的各种神经影像生物标志物，其中包括形态学改变、脑 T2* 加权低密度的分子特征、脑微出血和微梗塞的评估、使用 MR 光谱研究的生化变化以及其他一些方法。最后，我们讨论了 7T 磁共振成像在阿尔茨海默病成像方面的局限性，并对未来进行了展望。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

AIMS Neuroscience NEUROSCIENCES-

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

8 weeks

期刊介绍： AIMS Neuroscience is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers from all areas in the field of neuroscience. The primary focus is to provide a forum in which to expedite the speed with which theoretical neuroscience progresses toward generating testable hypotheses. In the presence of current and developing technology that offers unprecedented access to functions of the nervous system at all levels, the journal is designed to serve the role of providing the widest variety of the best theoretical views leading to suggested studies. Single blind peer review is provided for all articles and commentaries.