The global fractional anisotropy (gFA) is a structural marker of white matter myelination and integrity. Previous studies already evidenced that aging-related reduced integrity of specific white matter tracts is associated with decreased functional connectivity in several hubs. However, the correlations between gFA and functional brain connectivity remain unknown. In this cross-sectional study, we analyzed structural and functional MR datasets of 79 healthy participants from the Leipzig Study for Mind–Body–Emotion Interactions. DTI model-based method was used to quantify gFA values. We tested associations between gFA, age, and gender. The fractional amplitude of low-frequency fluctuations (fALFF) and ROI-to-ROI connectivity were analyzed in a regression model for evaluating the effects of gFA on brain activity and networking, respectively. A negative correlation was found between gFA and age (ρ = −0.343; p = 0.002). No statistically significant correlation as found between gFA and gender (p = 0.229). Higher values of gFA were associated with increased brain regional activity, including areas of the default mode network. There was a higher degree of correlation between some regions, particularly those that conform to the limbic system. Our study demonstrates that gFA influences regional neural activity and brain networking on resting, particularly the limbic system.

全球分数各向异性 (gFA) 是白质髓鞘形成和完整性的结构标志。先前的研究已经证明，与衰老相关的特定白质束完整性降低与几个枢纽的功能连通性降低有关。然而，gFA 与功能性大脑连接之间的相关性仍然未知。在这项横断面研究中，我们分析了来自莱比锡身心互动研究的 79 名健康参与者的结构和功能 MR 数据集。基于 DTI 模型的方法用于量化 gFA 值。我们测试了 gFA、年龄和性别之间的关联。在回归模型中分析了低频波动 (fALFF) 和 ROI 到 ROI 连接的分数幅度，以分别评估 gFA 对大脑活动和网络的影响。ρ  = -0.343；p  = 0.002）。在 gFA 和性别之间没有发现统计学上的显着相关性 ( p  = 0.229 )。较高的 gFA 值与大脑区域活动的增加有关，包括默认模式网络的区域。一些区域之间存在更高程度的相关性，特别是那些符合边缘系统的区域。我们的研究表明，gFA 会影响休息时的区域神经活动和大脑网络，尤其是边缘系统。