Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hum Brain Mapp. 2023 Jul;44(10):3943-3953. doi: 10.1002/hbm.26326. Epub 2023 May 6.
White matter hyperintensity (WMH) lesions on T2 fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and changes in adjacent normal-appearing white matter can disrupt computerized tract reconstruction and result in inaccurate measures of structural brain connectivity. The virtual lesion approach provides an alternative strategy for estimating structural connectivity changes due to WMH. To assess the impact of using young versus older subject diffusion MRI data for virtual lesion tractography, we leveraged recently available diffusion MRI data from the Human Connectome Project (HCP) Lifespan database. Neuroimaging data from 50 healthy young (39.2 ± 1.6 years) and 46 healthy older (74.2 ± 2.5 years) subjects were obtained from the publicly available HCP-Aging database. Three WMH masks with low, moderate, and high lesion burdens were extracted from the WMH lesion frequency map of locally acquired FLAIR MRI data. Deterministic tractography was conducted to extract streamlines in 21 WM bundles with and without the WMH masks as regions of avoidance in both young and older cohorts. For intact tractography without virtual lesion masks, 7 out of 21 WM pathways showed a significantly lower number of streamlines in older subjects compared to young subjects. A decrease in streamline count with higher native lesion burden was found in corpus callosum, corticostriatal tract, and fornix pathways. Comparable percentages of affected streamlines were obtained in young and older groups with virtual lesion tractography using the three WMH lesion masks of increasing severity. We conclude that using normative diffusion MRI data from young subjects for virtual lesion tractography of WMH is, in most cases, preferable to using age-matched normative data.
脑白质高信号(WMH)病灶在 T2 液体衰减反转恢复(FLAIR)磁共振成像(MRI)上,以及相邻正常表现白质的变化,可能会干扰计算机束重建,并导致结构脑连接的测量不准确。虚拟病变方法提供了一种替代策略,用于估计 WMH 引起的结构连接变化。为了评估使用年轻和年老受试者弥散 MRI 数据进行虚拟病变轨迹的影响,我们利用了最近从人类连接组计划(HCP)寿命数据库获得的弥散 MRI 数据。从公开可用的 HCP 老化数据库中获得了 50 名健康的年轻(39.2±1.6 岁)和 46 名健康的老年(74.2±2.5 岁)受试者的神经影像学数据。从本地获取的 FLAIR MRI 数据的 WMH 病变频率图中提取了 3 个低、中、高病变负荷的 WMH 掩模。在年轻和老年队列中,在 21 个 WM 束中进行了确定性轨迹追踪,提取了带有和不带有 WMH 掩模的流线,将其作为回避区域。对于没有虚拟病变掩模的完整轨迹追踪,与年轻受试者相比,21 个 WM 通路中有 7 个在老年受试者中显示出线数量明显减少。在胼胝体、皮质纹状体束和穹窿通路中,发现随着原始病变负荷的增加,流线计数减少。使用三种严重程度递增的 WMH 病变掩模进行虚拟病变轨迹追踪,在年轻和老年组中获得了相似比例的受影响流线。我们得出结论,在大多数情况下,使用年轻受试者的正常弥散 MRI 数据进行 WMH 的虚拟病变轨迹追踪,优于使用年龄匹配的正常数据。