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人类屏状核连接:基于弥散张量成像的纤维束追踪技术在两个大样本中的可靠活体检测。

Human Claustrum Connections: Robust In Vivo Detection by DWI-Based Tractography in Two Large Samples.

机构信息

Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.

School of Medicine and Health, TUM-NIC Neuroimaging Center, Technical University of Munich, Munich, Germany.

出版信息

Hum Brain Mapp. 2024 Oct;45(14):e70042. doi: 10.1002/hbm.70042.

Abstract

Despite substantial neuroscience research in the last decade revealing the claustrum's prominent role in mammalian forebrain organization, as evidenced by its extraordinarily widespread connectivity pattern, claustrum studies in humans are rare. This is particularly true for studies focusing on claustrum connections. Two primary reasons may account for this situation: First, the intricate anatomy of the human claustrum located between the external and extreme capsule hinders straightforward and reliable structural delineation. In addition, the few studies that used diffusion-weighted-imaging (DWI)-based tractography could not clarify whether in vivo tractography consistently and reliably identifies claustrum connections in humans across different subjects, cohorts, imaging methods, and connectivity metrics. To address these issues, we combined a recently developed deep-learning-based claustrum segmentation tool with DWI-based tractography in two large adult cohorts: 81 healthy young adults from the human connectome project and 81 further healthy young participants from the Bavarian longitudinal study. Tracts between the claustrum and 13 cortical and 9 subcortical regions were reconstructed in each subject using probabilistic tractography. Probabilistic group average maps and different connectivity metrics were generated to assess the claustrum's connectivity profile as well as consistency and replicability of tractography. We found, across individuals, cohorts, DWI-protocols, and measures, consistent and replicable cortical and subcortical ipsi- and contralateral claustrum connections. This result demonstrates robust in vivo tractography of claustrum connections in humans, providing a base for further examinations of claustrum connectivity in health and disease.

摘要

尽管过去十年的大量神经科学研究揭示了屏状核在哺乳动物前脑组织中的突出作用,其连接模式非常广泛,但人类对屏状核的研究却很少。这在专注于屏状核连接的研究中尤其如此。造成这种情况的主要有两个原因:首先,位于外囊和极囊之间的人类屏状核的复杂解剖结构阻碍了直接和可靠的结构描绘。此外,少数使用基于扩散加权成像(DWI)的轨迹追踪的研究无法阐明,基于体素的轨迹追踪是否能够在不同的个体、队列、成像方法和连接性指标中一致且可靠地识别人类屏状核的连接。为了解决这些问题,我们在两个大型成人队列中结合了一种新的基于深度学习的屏状核分割工具和基于 DWI 的轨迹追踪:来自人类连接组计划的 81 名健康年轻成年人和来自巴伐利亚纵向研究的另外 81 名健康年轻参与者。在每个受试者中,使用概率轨迹追踪重建了屏状核与 13 个皮质和 9 个皮质下区域之间的轨迹。生成了概率组平均图和不同的连接性指标,以评估屏状核的连接特征以及轨迹追踪的一致性和可重复性。我们发现,在个体、队列、DWI 方案和测量中,都存在一致且可重复的皮质和皮质下同侧和对侧屏状核连接。这一结果证明了人类屏状核连接的强大的活体追踪,为进一步研究健康和疾病状态下屏状核的连接提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1747/11471578/8487d0456515/HBM-45-e70042-g008.jpg

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