Rheault Francois, Mayberg Helen, de Schotten Michel Thiebaut, Roebroeck Alard, Forkel Stephanie J
Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY, USA.
Brain Struct Funct. 2025 Apr 29;230(4):59. doi: 10.1007/s00429-025-02921-9.
Tractography has emerged as a central tool for mapping the cerebral white matter architecture. However, its scientific value continues to be a subject of debate, given its inherent limitations in anatomical accuracy. This concise communication showcases key points of a debate held at the 2024 Tract-Anat Retreat, addressing the trade-offs between the accuracy and utility of tractography. While tractography remains constrained by limitations related to resolution, sensitivity, and validation, its usefulness and utility in areas such as surgical planning, disorder prediction, and the elucidation of brain development are emphasized. These perspectives highlight the necessity of context-specific interpretation, anatomically informed algorithms, and the continuous refinement of tractography workflows to achieve an optimal balance between accuracy and utility.
纤维束成像已成为描绘大脑白质结构的核心工具。然而，鉴于其在解剖学准确性方面存在固有局限性，其科学价值仍然是一个有争议的话题。这篇简短的通讯展示了在2024年纤维束-解剖学研讨会上举行的一场辩论的要点，讨论了纤维束成像在准确性和实用性之间的权衡。虽然纤维束成像仍然受到与分辨率、敏感性和验证相关的限制，但强调了其在手术规划、疾病预测和脑发育阐释等领域的有用性和实用性。这些观点突出了根据具体情况进行解释、基于解剖学知识的算法以及不断完善纤维束成像工作流程以在准确性和实用性之间实现最佳平衡的必要性。
