利用超高分辨率弥散核磁共振成像评估表层白质的描述。

IF 3.5 2区 医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2024-10-11 DOI:10.1002/hbm.70041
Fan Zhang, Yuqian Chen, Lipeng Ning, Jarrett Rushmore, Qiang Liu, Mubai Du, Shiva Hassanzadeh-Behbahani, Jon Haitz Legarreta, Edward Yeterian, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell
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引用次数: 0

摘要

表层白质(SWM)由大量短程关联纤维组成,连接相邻和附近的脑回,在大脑功能、发育、衰老和各种神经系统疾病中发挥着重要作用。弥散核磁共振成像(dMRI)束成像是一种先进的成像技术,可对 SWM 进行活体绘图。然而,对于目前的临床和研究用 dMRI 采集来说,要对 SWM 的细小、高度弯曲的纤维进行详细成像是一项挑战。本研究利用体内超高分辨率 dMRI 数据研究了绘制 SWM 的功效。我们比较了两种 dMRI 采集的 SWM 映射性能:一种是使用广义切片-分层增强分辨率(gSlider)协议的高分辨率 0.76 毫米各向同性采集,另一种是从人类连接组计划青年成人(HCP-YA)数据库中获得的低分辨率 1.25 毫米各向同性采集。我们的结果表明,这两种采集结果所描述的皮层-皮层解剖连通性存在明显差异。我们结合非人灵长类动物(猕猴)皮层追踪文献,对这些结果的解剖学合理性进行了详细评估。我们发现,高分辨率 gSlider 数据集能更成功地描绘出 SWM 中大量真实的正向解剖连接。另外一项皮层覆盖分析表明,对于长度小于 40 毫米的 SWM 流线,gSlider 数据集的皮层覆盖率明显更高。总之,我们得出结论,dMRI 数据的空间分辨率是一个重要因素,会对 SWM 的绘图产生重大影响。考虑到采集时间相对较长,在未来的工作中应用 dMRI tractography 绘制 SWM 图谱时应考虑数据采集工作与 SWM 描绘效果之间的平衡。
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Assessment of the Depiction of Superficial White Matter Using Ultra-High-Resolution Diffusion MRI

The superficial white matter (SWM) consists of numerous short-range association fibers connecting adjacent and nearby gyri and plays an important role in brain function, development, aging, and various neurological disorders. Diffusion MRI (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the SWM. However, detailed imaging of the small, highly-curved fibers of the SWM is a challenge for current clinical and research dMRI acquisitions. This work investigates the efficacy of mapping the SWM using in vivo ultra-high-resolution dMRI data. We compare the SWM mapping performance from two dMRI acquisitions: a high-resolution 0.76-mm isotropic acquisition using the generalized slice-dithered enhanced resolution (gSlider) protocol and a lower resolution 1.25-mm isotropic acquisition obtained from the Human Connectome Project Young Adult (HCP-YA) database. Our results demonstrate significant differences in the cortico-cortical anatomical connectivity that is depicted by these two acquisitions. We perform a detailed assessment of the anatomical plausibility of these results with respect to the nonhuman primate (macaque) tract-tracing literature. We find that the high-resolution gSlider dataset is more successful at depicting a large number of true positive anatomical connections in the SWM. An additional cortical coverage analysis demonstrates significantly higher cortical coverage in the gSlider dataset for SWM streamlines under 40 mm in length. Overall, we conclude that the spatial resolution of the dMRI data is one important factor that can significantly affect the mapping of SWM. Considering the relatively long acquisition time, the application of dMRI tractography for SWM mapping in future work should consider the balance of data acquisition efforts and the efficacy of SWM depiction.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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