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朝向在 MNI 空间中定义深部脑刺激靶点:基于多模态 MRI、组织学和结构连接的皮质下图谱。

Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

机构信息

Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany.

出版信息

Neuroimage. 2018 Apr 15;170:271-282. doi: 10.1016/j.neuroimage.2017.05.015. Epub 2017 May 20.

DOI:10.1016/j.neuroimage.2017.05.015
PMID:28536045
Abstract

Three-dimensional atlases of subcortical brain structures are valuable tools to reference anatomy in neuroscience and neurology. For instance, they can be used to study the position and shape of the three most common deep brain stimulation (DBS) targets, the subthalamic nucleus (STN), internal part of the pallidum (GPi) and ventral intermediate nucleus of the thalamus (VIM) in spatial relationship to DBS electrodes. Here, we present a composite atlas based on manual segmentations of a multimodal high resolution brain template, histology and structural connectivity. In a first step, four key structures were defined on the template itself using a combination of multispectral image analysis and manual segmentation. Second, these structures were used as anchor points to coregister a detailed histological atlas into standard space. Results show that this approach significantly improved coregistration accuracy over previously published methods. Finally, a sub-segmentation of STN and GPi into functional zones was achieved based on structural connectivity. The result is a composite atlas that defines key nuclei on the template itself, fills the gaps between them using histology and further subdivides them using structural connectivity. We show that the atlas can be used to segment DBS targets in single subjects, yielding more accurate results compared to priorly published atlases. The atlas will be made publicly available and constitutes a resource to study DBS electrode localizations in combination with modern neuroimaging methods.

摘要

皮质下脑结构的三维图谱是神经科学和神经学中参考解剖结构的有价值的工具。例如,它们可用于研究三种最常见的深部脑刺激 (DBS) 靶点,即丘脑底核 (STN)、苍白球内 (GPi) 和丘脑腹中间核 (VIM) 的位置和形状,以及它们与 DBS 电极的空间关系。在这里,我们提出了一个基于多模态高分辨率脑模板、组织学和结构连接的手动分割的组合图谱。在第一步中,使用多光谱图像分析和手动分割的组合,在模板本身定义了四个关键结构。其次,这些结构被用作锚点,将详细的组织学图谱配准到标准空间中。结果表明,与以前发表的方法相比,这种方法显著提高了配准的准确性。最后,基于结构连接对 STN 和 GPi 进行了功能区的亚分割。结果是一个组合图谱,它在模板本身定义了关键核,使用组织学填补它们之间的空白,并使用结构连接进一步细分它们。我们表明,该图谱可用于对单个受试者的 DBS 靶点进行分割,与以前发表的图谱相比,产生更准确的结果。该图谱将公开发布,并成为与现代神经影像学方法相结合研究 DBS 电极定位的资源。

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