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MRI和非MRI可量化神经解剖学及功能参数对神经纤维束成像很有用。

MRI and non-MRI quantifiable neuroanatomical and functional parameters are useful for tractography.

作者信息

Schiavi Simona, Borra Elena, De Luca Alberto, Jones Derek K, Petit Laurent, Szczupak Diego

机构信息

ASG Superconductors S.p.A, Genoa, Italy.

Department of Computer Science, University of Verona, Verona, Italy.

出版信息

Brain Struct Funct. 2025 Jun 5;230(6):83. doi: 10.1007/s00429-025-02932-6.

Abstract

Tractography provides a powerful framework to reconstruct white matter pathways from diffusion magnetic resonance imaging (dMRI) but remains challenged by its inherent ambiguity and lack of direct biological specificity. This short communication summarizes the key points of a debate held at the 2024 Tract-Anat Retreat on the utility of MRI and non-MRI quantifiable neuroanatomical and functional parameters for improving tractography. During the discussion, concerns were raised about the availability of histological properties only on post-mortem tissues, the disparity in scale between MRI and other modalities and the additional costs (both in time and money) of such additional parameters. However, we identified several areas that enhance the anatomical accuracy of tractography including the potential value of histological priors, functional imaging constraints, and microstructural metrics in guiding or validating tract reconstructions. These perspectives underscore the need for multimodal frameworks that bridge imaging and biology, enabling tractography towards a more anatomically grounded representation of white matter organization.

摘要

纤维束成像提供了一个强大的框架,用于从扩散磁共振成像(dMRI)重建白质通路,但它仍然受到其固有的模糊性和缺乏直接生物学特异性的挑战。本简短通讯总结了在2024年纤维束-解剖学研讨会上举行的一场辩论的要点,该辩论围绕MRI和非MRI可量化神经解剖学及功能参数对改善纤维束成像的效用展开。在讨论过程中,有人提出了一些担忧,包括仅在死后组织上才能获得组织学特性、MRI与其他模态之间的尺度差异以及此类额外参数的额外成本(包括时间和金钱)。然而,我们确定了几个提高纤维束成像解剖准确性的领域,包括组织学前体的潜在价值、功能成像约束以及微观结构指标在指导或验证纤维束重建方面的作用。这些观点强调了建立多模态框架的必要性,该框架能够弥合成像与生物学之间的差距,使纤维束成像朝着对白质组织更具解剖学依据的表征发展。

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