目的:探究不同区域T2-Flair高信号体积与失眠的关系,以揭示失眠症可能的神经病理学基础.方法:回顾性收集2021年11月至2024年5月南昌大学第二附属医院临床诊断为失眠的121例患者(失眠组)及124例健康志愿者(对照组)的影像资料,失眠组分为短期失眠组(n=55)及慢性失眠组(n=66).使用3.0 T MRI扫描仪对所有参与者进行颅脑扫描,采用T2-Flair序列来评估脑白质的完整性和高信号体积,利用联影人工智能计算侧脑室缘、侧脑室旁、深部白质及近皮层白质T2-Flair高信号体积及其占相应部位总体积的比例,对失眠组与健康对照组的侧脑室旁不同区域高信号体积及其占比、血管周围间隙数量进行协方差分析,对不同分型的失眠症患者的侧脑室旁不同区域白质高信号体积及其占比进行协方差分析.结果:侧脑室缘T2-Flair高信号体积及其占侧脑室缘体积的比例在失眠组与对照组中差异有统计学意义(F值5.01 vs.10.05,P＜0.05),侧脑室旁、深部白质及近皮层白质T2-Flair高信号体积及其占相应部位总体积的比例在两者之间差异无统计学意义(P＞0.05);慢性失眠组与短期失眠组比较,各脑区白质高信号体积及占比均差异无统计学意义(P＞0.05).结论:侧脑室缘脑白质T2-Flair高信号体积与失眠症有关,但与失眠的病程无关,提示失眠症的神经病理基础可能与脑脊液动力学或侧脑室缘末梢动脉血流动力学变化有关.
The relationship between the high signal volume of cerebral white matter and the lateral ventricular rim with insomnia
Objective:To explore the relationship between T2-Flair high signaling volume in different regions and insomnia in order to reveal the possible neuropathological basis of insomnia.Methods:The imaging datas of 121 patients with insomnia and 124 healthy volunteers in the Second Affiliated Hospital of Nanchang University from November 2021 to May 2024 were retrospectively collected.The insomnia group was divided into short-term insomnia group(n=55)and chronic insomnia group(n=66).All participants underwent brain scans utilizing a 3.0 T MRI scanner.The T2-Flair sequences were utilized to assess white matter integrity and high signal volume.United Imaging Artificial Intelligence were used to determine the T2-Flair high-signal volumes of the lateral ventricular rim,parietal lateral ventricle,deep white matter and near-cortical white matter,as well as their proportions to the overall volume of the relevant sites.The covariance between the insomnia group and the healthy control group was analyzed for the volume and percentage of high signal in various lateral paraventricular area regions as well as for the number of perivascular interstitial spaces.Covariance analysis was also performed to analyze the volume of white matter high signal and its percentage in different regions of the paraventricular white matter and the number of perivascular spaces in patients with different subtypes of insomnia.Results:The T2-Flair high signal volume of the lateral ventricular rim and its proportion to the volume of the lateral ventricular rim were statistically different between the insomnia patients and the healthy volunteers(F=5.01,10.05;P＜0.05).However,the T2-Flair high signal volumes of the paraventricular,deep white matter,and proximal cortical white matter and their proportions to the total volume of the corresponding site were not statistically different between groups(P＞0.05).There was no statistically significant difference in the volume and percentage of white matter high signal in each brain region in the chronic insomnia group compared to the short-term insomnia group(P＞0.05).Conclusion:T2-Flair high signal volume in the cerebral white matter of the lateral ventricular rim was associated with insomnia,but not with the course of insomnia,suggesting that the neuropathologic basis of insomnia may be related to changes in cerebrospinal fluid dynamics or peripheral arterial hemodynamics at the lateral ventricular margin.
insomniabrain white matter high signal volumeartificial intelligencecerebrospinal fluid
万方数据
维普
