Stocks Jane, Gibson Erin, Popuri Karteek, Beg Mirza F, Rosen Howard, Wang Lei
Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Sunnybrook Health Sciences Centre, Toronto, ON.
Alzheimer Dis Assoc Disord. 2024;38(2):112-119. doi: 10.1097/WAD.0000000000000611. Epub 2024 Apr 15.
Individuals with behavioral-variant frontotemporal dementia (bvFTD) show changes in brain structure as assessed by MRI and brain function assessed by 18FDG-PET hypometabolism. However, current understanding of the spatial and temporal interplay between these measures remains limited.
Here, we examined longitudinal atrophy and hypometabolism relationships in 15 bvFTD subjects with 2 to 4 follow-up MRI and PET scans (56 visits total). Subject-specific slopes of atrophy and hypometabolism over time were extracted across brain regions and correlated with baseline measures both locally, via Pearson correlations, and nonlocally, via sparse canonical correlation analyses (SCCA).
Notably, we identified a robust link between initial hypometabolism and subsequent cortical atrophy rate changes in bvFTD subjects. Network-level exploration unveiled alignment between baseline hypometabolism and ensuing atrophy rates in the dorsal attention, language, and default mode networks. SCCA identified 2 significant and highly localized components depicting the connection between baseline hypometabolism and atrophy slope over time. The first centered around bilateral orbitofrontal, frontopolar, and medial prefrontal lobes, whereas the second concentrated in the left temporal lobe and precuneus.
This study highlights 18FDG-PET as a dependable predictor of forthcoming atrophy in spatially adjacent brain regions for individuals with bvFTD.
行为变异型额颞叶痴呆（bvFTD）患者经MRI评估显示脑结构变化，经18FDG - PET代谢减低评估显示脑功能变化。然而，目前对于这些测量指标之间时空相互作用的理解仍然有限。
在此，我们对15例bvFTD患者进行了纵向萎缩和代谢减低关系的研究，这些患者接受了2至4次随访MRI和PET扫描（共56次检查）。在脑区中提取随时间变化的个体特异性萎缩和代谢减低斜率，并通过Pearson相关分析在局部以及通过稀疏典型相关分析（SCCA）在非局部与基线测量值进行相关性分析。
值得注意的是，我们在bvFTD患者中发现初始代谢减低与随后皮质萎缩率变化之间存在密切联系。网络水平的探索揭示了背侧注意、语言和默认模式网络中基线代谢减低与随后萎缩率之间的一致性。SCCA确定了2个显著且高度局部化的成分，描绘了基线代谢减低与随时间变化的萎缩斜率之间的联系。第一个成分围绕双侧眶额、额极和内侧前额叶，而第二个成分集中在左颞叶和楔前叶。
本研究强调18FDG - PET可作为bvFTD患者空间相邻脑区即将发生萎缩的可靠预测指标。
