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脑弥散磁共振成像纤维束追踪技术。

Diffusion MRI fiber tractography of the brain.

机构信息

imec-Vision Lab, Dept. of Physics, University of Antwerp, Belgium.

Centre de Recherche CHUS, University of Sherbrooke, Sherbrooke, Canada.

出版信息

NMR Biomed. 2019 Apr;32(4):e3785. doi: 10.1002/nbm.3785. Epub 2017 Sep 25.

Abstract

The ability of fiber tractography to delineate non-invasively the white matter fiber pathways of the brain raises possibilities for clinical applications and offers enormous potential for neuroscience. In the last decade, fiber tracking has become the method of choice to investigate quantitative MRI parameters in specific bundles of white matter. For neurosurgeons, it is quickly becoming an invaluable tool for the planning of surgery, allowing for visualization and localization of important white matter pathways before and even during surgery. Fiber tracking has also claimed a central role in the field of "connectomics," a technique that builds and studies comprehensive maps of the complex network of connections within the brain, and to which significant resources have been allocated worldwide. Despite its unique abilities and exciting applications, fiber tracking is not without controversy, in particular when it comes to its interpretation. As neuroscientists are eager to study the brain's connectivity, the quantification of tractography-derived "connection strengths" between distant brain regions is becoming increasingly popular. However, this practice is often frowned upon by fiber-tracking experts. In light of this controversy, this paper provides an overview of the key concepts of tractography, the technical considerations at play, and the different types of tractography algorithm, as well as the common misconceptions and mistakes that surround them. We also highlight the ongoing challenges related to fiber tracking. While recent methodological developments have vastly increased the biological accuracy of fiber tractograms, one should be aware that, even with state-of-the-art techniques, many issues that severely bias the resulting structural "connectomes" remain unresolved.

摘要

纤维束追踪技术能够无创地描绘大脑白质纤维通路,这为临床应用提供了可能性,并为神经科学带来了巨大的潜力。在过去的十年中,纤维追踪已成为研究特定白质束中定量 MRI 参数的首选方法。对于神经外科医生来说,它正在迅速成为手术规划的宝贵工具,允许在手术前甚至手术过程中可视化和定位重要的白质通路。纤维追踪在“连接组学”领域也占据了核心地位,这是一种构建和研究大脑内复杂连接网络的综合图谱的技术,全球范围内已经投入了大量资源。尽管纤维追踪具有独特的能力和令人兴奋的应用,但它并非没有争议,特别是在解释方面。由于神经科学家渴望研究大脑的连接,追踪纤维追踪衍生的“连接强度”的定量方法在远距离脑区之间越来越受欢迎。然而,这种做法常常受到纤维追踪专家的批评。鉴于这一争议,本文概述了纤维追踪的关键概念、所涉及的技术考虑因素以及不同类型的纤维追踪算法,以及围绕它们的常见误解和错误。我们还强调了与纤维追踪相关的持续挑战。尽管最近的方法学发展极大地提高了纤维束图像的生物学准确性,但人们应该意识到,即使采用最先进的技术,许多严重影响生成结构“连接组”的问题仍未得到解决。

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