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蓝斑磁共振成像:自然空间与模板空间方法的比较。

Locus Coeruleus magnetic resonance imaging: a comparison between native-space and template-space approach.

机构信息

Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.

Deep Health Unit, Fondazione Toscana Gabriele Monasterio, CNR-Regione Toscana, Pisa, Italy.

出版信息

J Neural Transm (Vienna). 2022 Apr;129(4):387-394. doi: 10.1007/s00702-022-02486-5. Epub 2022 Mar 20.

Abstract

Locus Coeruleus (LC) is the main noradrenergic nucleus of the brain, which is involved in many physiological functions including cognition; its impairment may be crucial in the neurobiology of a variety of brain diseases. Locus Coeruleus-Magnetic Resonance Imaging (LC-MRI) allows to identify in vivo LC in humans. Thus, a variety of research teams have been using LC-MRI to estimate LC integrity in normal aging and in patients affected by neurodegenerative disorders, where LC integrity my work as a biomarker. A number of variations between LC-MRI studies exist, concerning post-acquisition analysis and whether this had been performed within MRI native space or in ad hoc-built MRI template space. Moreover, the reproducibility and reliability of this tool is still to be explored. Therefore, in the present study, we analyzed a group of neurologically healthy, cognitively intact elderly subjects, using both a native space- and a template space-based LC-MRI analysis. We found a good inter-method agreement, particularly considering the LC Contrast Ratio. The template space-based approach provided a higher spatial resolution, lower operator-dependency, and allowed the analysis of LC topography. Our ad hoc-developed LC template showed LC morphological data that were in line with templates published very recently. Remarkably, present data significantly overlapped with a recently published LC "metaMask", that had been obtained by averaging the results of a variety of previous LC-MRI studies. Thus, such a template space-based approach may pave the way to a standardized LC-MRI analysis and to be used in future clinic-anatomical correlations.

摘要

蓝斑(LC)是大脑的主要去甲肾上腺素能核团,参与许多生理功能,包括认知;其损伤可能在各种脑部疾病的神经生物学中起着关键作用。蓝斑磁共振成像(LC-MRI)可用于在人类体内识别 LC。因此,许多研究小组一直在使用 LC-MRI 来估计正常衰老和神经退行性疾病患者的 LC 完整性,其中 LC 完整性可能作为生物标志物。LC-MRI 研究之间存在许多差异,涉及到采集后分析以及是否在 MRI 原生空间或专门构建的 MRI 模板空间中进行。此外,该工具的可重复性和可靠性仍有待探索。因此,在本研究中,我们使用基于原生空间和模板空间的 LC-MRI 分析方法,对一组神经认知健康的老年人进行了分析。我们发现两种方法之间具有良好的一致性,特别是考虑到 LC 对比率。基于模板空间的方法提供了更高的空间分辨率、更低的操作者依赖性,并允许对 LC 拓扑结构进行分析。我们专门开发的 LC 模板显示的 LC 形态数据与最近发布的模板一致。值得注意的是,目前的数据与最近发表的 LC“metaMask”显著重叠,后者是通过对各种先前的 LC-MRI 研究结果进行平均而获得的。因此,这种基于模板空间的方法可能为 LC-MRI 分析的标准化铺平道路,并在未来的临床解剖学相关性研究中使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f77/9007774/827ac4532732/702_2022_2486_Fig1_HTML.jpg

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