Shefa Neuroscience Research Center, Tehran, Iran.
Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
Brain Connect. 2024 Apr;14(3):172-181. doi: 10.1089/brain.2023.0068. Epub 2024 Mar 14.
Improved understanding of multiple sclerosis (MS) symptomatology, disease mechanisms, and clinical effectiveness can be achieved by investigating microstructural damage. The aim was to gain deeper insights into changes in white matter (WM) tracts in MS patients. Diffusion magnetic resonance imaging-based tractography was utilized to segment WM tracts into regions of interest for further quantitative analysis. However, tractography is susceptible to false-positive findings, reducing its specificity and clinical feasibility. To address these limitations, the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) technique was used. COMMIT was used to derive measures of intracellular compartment (IC) and isotropic compartments from multishell diffusion data of 40 healthy controls (HCs) and 40 MS patients. The analysis revealed a widespread pattern of significantly decreased IC values in MS patients compared with HCs across 61,581 voxels ( < 0.05, threshold-free cluster enhancement [TFCE] corrected). Similar WM structures studied using the fractional anisotropy (FA) value also showed a reduction in FA among MS patients compared with HCs across 57,304 voxels ( < 0.05, TFCE corrected). Out of the 61,581 voxels exhibiting lower IC, a substantial overlap of 47,251 voxels (76.72%) also demonstrated lower FA in MS patients compared with HCs. The data suggested that lower IC values contributed to the explanation of FA reductions. In addition, IC showed promising potential for evaluating microstructural abnormalities in WM in MS, potentially being more sensitive than the frequently used FA value.
通过研究微观结构损伤,可以更好地了解多发性硬化症 (MS) 的症状、疾病机制和临床疗效。目的是深入了解 MS 患者的白质 (WM) 束变化。基于扩散磁共振成像的束追踪技术被用于将 WM 束分割成感兴趣区域,以便进一步进行定量分析。然而,束追踪易受到假阳性发现的影响,从而降低了其特异性和临床可行性。为了解决这些限制,使用了凸优化模型微观结构信息束追踪技术(COMMIT)。使用 COMMIT 从 40 名健康对照者(HC)和 40 名 MS 患者的多壳扩散数据中得出细胞内隔室(IC)和各向同性隔室的测量值。分析显示,与 HC 相比,MS 患者在 61581 个体素(<0.05,无阈值簇增强(TFCE)校正)中广泛存在 IC 值显著降低的模式。使用各向异性分数(FA)值研究的类似 WM 结构也显示出 MS 患者的 FA 降低,与 HC 相比,跨越 57304 个体素(<0.05,TFCE 校正)。在表现出较低 IC 的 61581 个体素中,大量重叠的 47251 个体素(76.72%)也显示出 MS 患者的 FA 低于 HC。数据表明,较低的 IC 值有助于解释 FA 的降低。此外,IC 显示出在 MS 中评估 WM 微观结构异常的有希望的潜力,其潜在敏感性可能高于常用的 FA 值。