Department of Biomedical Informatics and Computational Biology, University of Minnesota, 101 Pleasant St SE, Minneapolis, MN 55455, USA.
Department of Biomedical Informatics and Computational Biology, University of Minnesota, 101 Pleasant St SE, Minneapolis, MN 55455, USA.
Magn Reson Imaging. 2021 Apr;77:137-147. doi: 10.1016/j.mri.2020.12.012. Epub 2020 Dec 25.
Mild TBI, characterized by microstructural damage, often undetectable on conventional imaging techniques, is a pervasive condition that disturbs brain function and can potentially result in long-term deficits. Deciphering the underlying microstructural damage in mild TBI is crucial for establishing a reliable diagnosis and enabling effective therapeutics. Efforts to capture this damage have been extensive, but results have been inconsistent and incomplete.
To that effect, we set out to examine the shape of the diffusion tensor in mild TBI during the acute phase of injury. We inspected diffusivity and geometric measurements describing the diffusion tensor's shape and compared mild TBI (N = 34, 20.4-66.6 yo) measurements with those from healthy control (N = 42, 20.7-67.2 yo) participants using voxelwise tract-based spatial statistics. Subsequently, to explore associations between the diffusion measurements in mild TBI, we performed nonparametric statistics and machine learning techniques.
Overall, mild TBI displayed a diffuse increase in D, D, D, D, and C, with a diffuse decrease in A, A, and C, in addition to no change in D or C. Most notably, our results provide evidence for D as a potential biomarker for microstructural damage, specifically its main component D, based on their performance in discriminating between mild TBI and control groups. A was also found to be important for discriminating between groups.
Our results revealed the importance of a diffusion measurement often overlooked, D, in assessing TBI and suggest differentiating diffusion measurements has the potential utility to detect variations in the underlying pathophysiology after injury.
轻度创伤性脑损伤(mild TBI)的特征是微观结构损伤,通常在常规成像技术中无法检测到,这种损伤普遍存在,会扰乱大脑功能,并可能导致长期缺陷。解析轻度 TBI 中的潜在微观结构损伤对于建立可靠的诊断和实现有效的治疗至关重要。为此,我们研究了轻度 TBI 患者在损伤急性期的扩散张量的形状。我们检查了描述扩散张量形状的弥散度和几何测量值,并使用基于体素的束空间统计学方法,将轻度 TBI(N=34,年龄 20.4-66.6 岁)的测量值与健康对照组(N=42,年龄 20.7-67.2 岁)的测量值进行了比较。随后,为了探讨轻度 TBI 中的扩散测量值之间的相关性,我们进行了非参数统计和机器学习技术分析。
总体而言,轻度 TBI 表现为 D、D、D、D 和 C 的弥散性增加,A、A 和 C 的弥散性降低,而 D 或 C 没有变化。值得注意的是,我们的结果表明 D 可能是一种潜在的微观结构损伤生物标志物,特别是基于其在区分轻度 TBI 和对照组方面的表现,其主要成分 D 更是如此。我们还发现 A 对于区分组间差异也很重要。
我们的结果揭示了评估 TBI 时通常被忽视的扩散测量值 D 的重要性,并表明区分扩散测量值有可能检测到损伤后潜在病理生理学的变化。