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Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography

机译:弥散核磁共振纤维成像中的回旋偏向的确认

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摘要

Diffusion MRI fiber tractography has been increasingly used to map the structural connectivity of the human brain. However, this technique is not without limitations, for example, there is a growing concern over anatomically-correlated bias in tractography findings. In this study, we demonstrate that there is a bias for fiber tracking algorithms to terminate preferentially on gyral crowns, rather than the banks of sulci. We investigate this issue by comparing diffusion MRI (dMRI) tractography with equivalent measures made on myelin-stained histological sections. We begin by investigating the orientation and trajectories of axons near the white matter/gray matter boundary, as well as the density of axons entering the cortex at different locations along gyral blades. These results are compared with dMRI orientations and tract densities at the same locations, where we find a significant gyral bias in many gyral blades across the brain. This effect is shown for a range of tracking algorithms, both deterministic and probabilistic, and multiple diffusion models, including the diffusion tensor and a high angular resolution diffusion imaging technique. Additionally, the gyral bias occurs for a range of diffusion weightings, and even for very high-resolution datasets. The bias could significantly affect connectivity results using the current generation of tracking algorithms.
机译:扩散MRI纤维束成像已越来越多地用于绘制人脑的结构连通性图。但是,这种技术并非没有局限性,例如,人们越来越关注解剖学发现中与解剖学相关的偏见。在这项研究中,我们证明了光纤跟踪算法有一个偏向于优先于回旋冠而不是龈沟的终止。我们通过比较弥散MRI(dMRI)图像与对髓鞘染色的组织切片进行的等效测量来调查此问题。我们首先研究白质/灰质边界附近的轴突的方向和轨迹,以及沿着回旋叶片在不同位置进入皮质的轴突的密度。将这些结果与相同位置的dMRI方向和通道密度进行了比较,我们在大脑的许多回旋叶片中发现了明显的回旋偏差。对于一系列确定性和概率性跟踪算法以及多种扩散模型(包括扩散张量和高角度分辨率扩散成像技术),都显示了这种效果。此外,回旋偏差会在一定范围的扩散权重中发生,甚至对于非常高分辨率的数据集也会发生。使用当前一代的跟踪算法,该偏差可能会严重影响连接性结果。

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