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拉斯穆森脑炎中整体改变的微观结构特性和网络拓扑结构

Globally altered microstructural properties and network topology in Rasmussen's encephalitis.

作者信息

Held Nina R, Bauer Tobias, Reiter Johannes T, Hoppe Christian, Keil Vera C W, Radbruch Alexander, Helmstaedter Christoph, Surges Rainer, Rüber Theodor

机构信息

Department of Epileptology, University Hospital Bonn, 53127 Bonn, Germany.

Department of Neuroradiology, University Hospital Bonn, 53127 Bonn, Germany.

出版信息

Brain Commun. 2023 Nov 1;5(6):fcad290. doi: 10.1093/braincomms/fcad290. eCollection 2023.

Abstract

Rasmussen's encephalitis is an immune-mediated brain disorder characterised by progressive unilateral cerebral atrophy, neuroinflammation, drug-resistant seizures and cognitive decline. However, volumetric changes and epileptiform EEG activity were also observed in the contralateral hemisphere, raising questions about the aetiology of contralateral involvement. In this study, we aim to investigate alterations of white matter integrity, structural network topology and network efficiency in Rasmussen's encephalitis using diffusion-tensor imaging. Fourteen individuals with Rasmussen's encephalitis (11 female, median onset 6 years, range 4-22, median disease duration at MRI 5 years, range 0-42) and 20 healthy control subjects were included. All subjects underwent T1-weighted structural and diffusion-tensor imaging. Diffusion-tensor images were analysed using the fixel-based analysis framework included in the MRtrix3 toolbox. Fibre density and cross-section served as a quantitative measure for microstructural white matter integrity. T1-weighted structural images were processed using FreeSurfer, subcortical segmentations and cortical parcellations using the Desikan-Killiany atlas served as nodes in a structural network model, edge weights were determined based on streamline count between pairs of nodes and compared using network-based statistics. Global efficiency was used to quantify network integration on an intrahemispheric level. All metrics were compared cross-sectionally between individuals with Rasmussen's encephalitis and healthy control subjects using sex and age as regressors and within the Rasmussen's encephalitis group using linear regression including age at onset and disease duration as independent variables. Relative to healthy control subjects, individuals with Rasmussen's encephalitis showed significantly (family-wise-error-corrected < 0.05) lower fibre density and cross-section as well as edge weights in intrahemispheric connections within the ipsilesional hemisphere and in interhemispheric connections. Lower edge weights were noted in the contralesional hemisphere and in interhemispheric connections, with the latter being mainly affected within the first 2 years after disease onset. With longer disease duration, fibre density and cross-section significantly (uncorrected < 0.01) decreased in both hemispheres. In the contralesional corticospinal tract, fibre density and cross-section significantly (uncorrected < 0.01) increased with disease duration. Intrahemispheric edge weights (uncorrected < 0.01) and global efficiency significantly increased with disease duration in both hemispheres (ipsilesional = 0.74, = 0.001; contralesional = 0.67, = 0.012). Early disease onset was significantly (uncorrected < 0.01) negatively correlated with lower fibre density and cross-section bilaterally. Our results show that the disease process of Rasmussen's encephalitis is not limited to the cortex of the lesioned hemisphere but should be regarded as a network disease affecting white matter across the entire brain and causing degenerative as well as compensatory changes on a network level.

摘要

拉斯穆森脑炎是一种免疫介导的脑部疾病,其特征为进行性单侧脑萎缩、神经炎症、耐药性癫痫发作和认知功能下降。然而,在对侧半球也观察到了体积变化和癫痫样脑电图活动,这引发了关于对侧受累病因的疑问。在本研究中,我们旨在使用扩散张量成像来研究拉斯穆森脑炎患者白质完整性、结构网络拓扑和网络效率的改变。研究纳入了14例拉斯穆森脑炎患者(11例女性,发病中位数为6岁,范围4 - 22岁,MRI检查时疾病持续时间中位数为5年,范围0 - 42年)和20名健康对照者。所有受试者均接受了T1加权结构成像和扩散张量成像。使用MRtrix3工具箱中基于固定点的分析框架对扩散张量图像进行分析。纤维密度和横截面积作为微观结构白质完整性的定量指标。使用FreeSurfer对T1加权结构图像进行处理,使用Desikan - Killiany图谱进行皮质下分割和皮质分区,这些分区在结构网络模型中作为节点,基于节点对之间的流线计数确定边权重,并使用基于网络的统计方法进行比较。使用全局效率来量化半球内水平的网络整合。使用性别和年龄作为回归变量,对拉斯穆森脑炎患者和健康对照者进行横断面比较所有指标,并在拉斯穆森脑炎组内使用线性回归进行比较,将发病年龄和疾病持续时间作为自变量。相对于健康对照者,拉斯穆森脑炎患者在患侧半球内的半球内连接以及半球间连接中,纤维密度、横截面积和边权重均显著降低(家族性错误校正P < 0.05)。在对侧半球和半球间连接中也观察到边权重较低,后者在疾病发作后的前2年内主要受到影响。随着疾病持续时间延长,两个半球的纤维密度和横截面积均显著降低(未校正P < 0.01)。在对侧皮质脊髓束中,纤维密度和横截面积随疾病持续时间显著增加(未校正P < 0.01)。两个半球的半球内边权重(未校正P < 凭经验 < 0.01)和全局效率均随疾病持续时间显著增加(患侧r = 0.74,P = 0.001;对侧r = 0.67,P = 0.012)。早期发病与双侧较低的纤维密度和横截面积显著负相关(未校正P < 0.01)。我们的结果表明,拉斯穆森脑炎的疾病过程不仅限于病变半球的皮质,而应被视为一种网络疾病,影响全脑白质,并在网络水平上引起退行性和代偿性变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e09/10638105/976ef82c023b/fcad290_ga1.jpg

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