Institute for Learning and Brain Sciences and Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA.
Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
Neuroimage. 2021 Nov;243:118453. doi: 10.1016/j.neuroimage.2021.118453. Epub 2021 Aug 4.
Diffusion MRI is a powerful tool for imaging brain structure, but it is challenging to discern the biological underpinnings of plasticity inferred from these and other non-invasive MR measurements. Biophysical modeling of the diffusion signal aims to render a more biologically rich image of tissue microstructure, but the application of these models comes with important caveats. A separate approach for gaining biological specificity has been to seek converging evidence from multi-modal datasets. Here we use metrics derived from diffusion kurtosis imaging (DKI) and the white matter tract integrity (WMTI) model along with quantitative MRI measurements of T1 relaxation to characterize changes throughout the white matter during an 8-week, intensive reading intervention (160 total hours of instruction). Behavioral measures, multi-shell diffusion MRI data, and quantitative T1 data were collected at regular intervals during the intervention in a group of 33 children with reading difficulties (7-12 years old), and over the same period in an age-matched non-intervention control group. Throughout the white matter, mean 'extra-axonal' diffusivity was inversely related to intervention time. In contrast, model estimated axonal water fraction (AWF), overall diffusion kurtosis, and T1 relaxation time showed no significant change over the intervention period. Both diffusion and quantitative T1 based metrics were correlated with pre-intervention reading performance, albeit with distinct anatomical distributions. These results are consistent with the view that rapid changes in diffusion properties reflect phenomena other than widespread changes in myelin density. We discuss this result in light of recent work highlighting non-axonal factors in experience-dependent plasticity and learning.
扩散磁共振成像是一种强大的脑结构成像工具,但从这些和其他非侵入性磁共振测量中推断出的可塑性的生物学基础很难辨别。扩散信号的生物物理建模旨在提供更具生物学意义的组织微观结构图像,但这些模型的应用存在重要的注意事项。另一种获得生物学特异性的方法是从多模态数据集寻找趋同证据。在这里,我们使用从扩散峰度成像(DKI)和白质束完整性(WMTI)模型中得出的指标,以及 T1 弛豫的定量 MRI 测量值,来描述在 8 周的强化阅读干预期间(总共 160 小时的教学)整个白质中的变化。在阅读困难的 33 名儿童(7-12 岁)中,在干预期间的定期时间间隔收集行为测量、多壳扩散 MRI 数据和定量 T1 数据,并在同一时期在年龄匹配的非干预对照组中收集。在整个白质中,平均“细胞外”扩散率与干预时间呈反比。相比之下,模型估计的轴突水分数(AWF)、整体扩散峰度和 T1 弛豫时间在干预期间没有明显变化。基于扩散和定量 T1 的指标都与干预前的阅读表现相关,尽管具有不同的解剖分布。这些结果与快速变化的扩散特性反映了除髓鞘密度广泛变化之外的现象的观点一致。我们根据最近强调经验依赖性可塑性和学习中非轴突因素的工作来讨论这一结果。