Longitudinal Reliability of Tract-Based Spatial Statistics in Diffusion Tensor Imaging

Longitudinal Reliability of Tract-Based Spatial Statistics in Diffusion Tensor Imaging
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DOI:
10.1002/hbm.22493
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发表时间:
2014-09-01
影响因子:
4.8
通讯作者:
Jaencke, Lutz
Jaencke, Lutz
中科院分区:
医学2区
文献类型:
--
作者:
Madhyastha, Tara;Merillat, Susan;Jaencke, Lutz

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尽管人们对使用 DTI 跟踪白质结构变化的兴趣日益浓厚,但对纵向扩散张量成像 (DTI) 测量的可靠性知之甚少。本研究的目的是量化 DTI 衍生测量的会话内和扫描-重新扫描之间的可靠性,这些测量通常用于描述神经可塑性研究背景下的神经白质特征。 DTI 数据来自 16 名认知健康的老年人(平均年龄 68.4 岁)。我们使用 FSL 中实现的基于区域的空间统计 (TBSS) 方法,评估不同的 DTI 预处理选择如何影响可靠性指数。重测可靠性(量化为 TBSS 骨架体素的 ICC 平均值)范围为 0.524 至 0.798,具体取决于特定的 DTI 导出测量值和所应用的预处理步骤。我们发现提高 TBSS 可靠性的两个主要预处理步骤是 (a) 使用通用个体模板和 (b) 使用 1 体素中值滤波器平滑 DTI 数据。总体而言,我们的数据表明,预处理流程中的小选择会对重测可靠性产生重大影响,从而影响纵向研究中检测变化的能力。此外,数据处理流程的差异限制了研究结果的可比性。 Hum Brain Mapp 35:4544-4555, 2014。(C) 2014 Wiley periodicals, Inc.
Relatively little is known about reliability of longitudinal diffusion-tensor imaging (DTI) measurements despite growing interest in using DTI to track change in white matter structure. The purpose of this study is to quantify within-and between session scan-rescan reliability of DTI-derived measures that are commonly used to describe the characteristics of neural white matter in the context of neural plasticity research. DTI data were acquired from 16 cognitively healthy older adults (mean age 68.4). We used the Tract-Based Spatial Statistics (TBSS) approach implemented in FSL, evaluating how different DTI preprocessing choices affect reliability indices. Test-Retest reliability, quantified as ICC averaged across the voxels of the TBSS skeleton, ranged from 0.524 to 0.798 depending on the specific DTI-derived measure and the applied preprocessing steps. The two main preprocessing steps that we found to improve TBSS reliability were (a) the use of a common individual template and (b) smoothing DTI data using a 1-voxel median filter. Overall our data indicate that small choices in the preprocessing pipeline have a significant effect on test-retest reliability, therefore influencing the power to detect change within a longitudinal study. Furthermore, differences in the data processing pipeline limit the comparability of results across studies. Hum Brain Mapp 35:4544-4555, 2014. (C) 2014 Wiley Periodicals, Inc.