背景:抑郁症是COVID-19最严重的后遗症之一,重度抑郁症通常以脑髓鞘形成变化引起的白质(WM)连接破坏为特征。这项研究旨在使用最近提出的MRI方法定量评估临床诊断的COVID后抑郁症(PCD)的脑髓鞘形成。大分子质子分数(MPF)作图。方法:该研究涉及63例康复的COVID-19患者(52例轻度,11中度,和2个严重)在恢复后13.5±10.0个月,与对照组相匹配,没有先前的COVID-19病史(n=19)。COVID后抑郁组(PCD,n=25)是根据精神病诊断确定的,而对照组(noPCD,n=38)包括患有神经系统COVID-19并发症的参与者,排除临床抑郁症。结果:快速MPF作图显示PCD患者广泛脱髓鞘,特别是在皮质附近的WM(主要是枕叶和内侧表面),WM束(下额枕骨束(IFOF),后丘脑辐射,外囊,矢状地层,绒毡层),和灰质(GM)结构(海马,壳核,苍白球,和杏仁核)。noPCD组也表现出明显的脱髓鞘,但幅度和传播较小。多元回归分析强调IFOF脱髓鞘是汉密尔顿得分的主要预测因子,PCD存在,和严重性。COVID后症状的数量是PCD存在的重要预测因素,而急性症状的数量是PCD严重程度的重要预测指标。结论:本研究,第一次,在PCD的许多WM和GM结构中揭示了广泛的脱髓鞘,概述IFOF脱髓鞘作为关键生物标志物。
Background: Depression is one of the most severe sequelae of COVID-19, with major depressive disorder often characterized by disruption in white matter (WM) connectivity stemming from changes in brain myelination. This study aimed to quantitatively assess brain myelination in clinically diagnosed post-COVID depression (PCD) using the recently proposed MRI method, macromolecular proton fraction (MPF) mapping. Methods: The study involved 63 recovered COVID-19 patients (52 mild, 11 moderate, and 2 severe) at 13.5 ± 10.0 months post-recovery, with matched controls without prior COVID-19 history (n = 19). A post-COVID depression group (PCD, n = 25) was identified based on psychiatric diagnosis, while a comparison group (noPCD, n = 38) included participants with neurological COVID-19 complications, excluding clinical depression. Results: Fast MPF mapping revealed extensive
demyelination in PCD patients, particularly in juxtacortical WM (predominantly occipital lobe and medial surface), WM tracts (inferior fronto-occipital fasciculus (IFOF), posterior thalamic radiation, external capsule, sagittal stratum, tapetum), and grey matter (GM) structures (hippocampus, putamen, globus pallidus, and amygdala). The noPCD group also displayed notable
demyelination, but with less magnitude and propagation. Multiple regression analysis highlighted IFOF
demyelination as the primary predictor of Hamilton scores, PCD presence, and severity. The number of post-COVID symptoms was a significant predictor of PCD presence, while the number of acute symptoms was a significant predictor of PCD severity. Conclusions: This study, for the first time, reveals extensive
demyelination in numerous WM and GM structures in PCD, outlining IFOF
demyelination as a key biomarker.