Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
Acta Neuropathol Commun. 2022 Feb 5;10(1):16. doi: 10.1186/s40478-022-01319-6.
Multi-compartment modelling of white matter microstructure using Neurite Orientation Dispersion and Density Imaging (NODDI) can provide information on white matter health through neurite density index and free water measures. We hypothesized that cerebrovascular disease, Alzheimer's disease, and TDP-43 proteinopathy would be associated with distinct NODDI readouts of white matter damage which would be informative for identifying the substrate for cognitive impairment. We identified two independent cohorts with multi-shell diffusion MRI, amyloid and tau PET, and cognitive assessments: specifically, a population-based cohort of 347 elderly randomly sampled from the Olmsted county, Minnesota, population and a clinical research-based cohort of 61 amyloid positive Alzheimer's dementia participants. We observed an increase in free water and decrease in neurite density using NODDI measures in the genu of the corpus callosum associated with vascular risk factors, which we refer to as the vascular white matter component. Tau PET signal reflective of 3R/4R tau deposition was associated with worsening neurite density index in the temporal white matter where we measured parahippocampal cingulum and inferior temporal white matter bundles. Worsening temporal white matter neurite density was associated with (antemortem confirmed) FDG TDP-43 signature. Post-mortem neuropathologic data on a small subset of this sample lend support to our findings. In the community-dwelling cohort where vascular disease was more prevalent, the NODDI vascular white matter component explained variability in global cognition (partial R of free water and neurite density = 8.3%) and MMSE performance (8.2%) which was comparable to amyloid PET (7.4% for global cognition and 6.6% for memory). In the AD dementia cohort, tau deposition was the greatest contributor to cognitive performance (9.6%), but there was also a non-trivial contribution of the temporal white matter component (8.5%) to cognitive performance. The differences observed between the two cohorts were reflective of their distinct clinical composition. White matter microstructural damage assessed using advanced diffusion models may add significant value for distinguishing the underlying substrate (whether cerebrovascular disease versus neurodegenerative disease caused by tau deposition or TDP-43 pathology) for cognitive impairment in older adults.
使用神经突方向分散和密度成像(NODDI)对脑白质微结构进行多室建模,可以通过神经突密度指数和游离水测量提供脑白质健康信息。我们假设血管性疾病、阿尔茨海默病和 TDP-43 蛋白病与脑白质损伤的不同 NODDI 读数有关,这些读数对于识别认知障碍的基础很有帮助。我们确定了两个具有多壳扩散 MRI、淀粉样蛋白和 tau PET 以及认知评估的独立队列:具体来说,一个是从明尼苏达州奥姆斯特德县随机抽取的 347 名老年人群的基于人群的队列,另一个是 61 名淀粉样蛋白阳性阿尔茨海默病痴呆参与者的临床研究队列。我们观察到,与血管危险因素相关的胼胝体膝部的游离水增加和神经突密度降低,我们称之为血管性脑白质成分。tau PET 信号反映 3R/4R tau 沉积与颞叶白质中神经突密度指数的恶化有关,我们在那里测量了海马旁扣带回和下颞叶白质束。颞叶白质神经突密度的恶化与(生前证实)FDG TDP-43 特征有关。对该样本的一小部分进行的死后神经病理学数据支持我们的发现。在血管疾病更为普遍的社区居住队列中,NODDI 血管性脑白质成分解释了全球认知(游离水和神经突密度的部分 R=8.3%)和 MMSE 表现(8.2%)的变异性,这与淀粉样蛋白 PET 相当(全球认知为 7.4%,记忆为 6.6%)。在 AD 痴呆队列中,tau 沉积是认知表现的最大贡献者(9.6%),但颞叶脑白质成分对认知表现也有相当大的贡献(8.5%)。两个队列之间观察到的差异反映了它们不同的临床组成。使用先进的扩散模型评估脑白质微观结构损伤可能会为区分认知障碍的潜在基础(是血管性疾病还是由 tau 沉积或 TDP-43 病理引起的神经退行性疾病)提供重要价值。