Lee Dong Ah, Lee Ho-Joon, Park Kang Min
Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, Busan, 48108, Republic of Korea.
Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Neuroradiology. 2023 Dec;65(12):1729-1736. doi: 10.1007/s00234-023-03241-7. Epub 2023 Oct 17.
We aimed to investigate the alterations in the multilayer network in patients with transient global amnesia (TGA).
We enrolled 124 patients with TGA and 80 healthy controls. Both patients with TGA and healthy controls underwent a three-teslar brain magnetic resonance imaging (MRI). A gray matter layer matrix was created using a morphometric similarity network derived from the T1-weighted imaging, and a white matter layer matrix was constructed using structural connectivity based on the diffusion tensor imaging. A multilayer network analysis was performed by applying graph theoretical analysis.
There were no significant differences in global network measures between the groups. However, several regions, related to the default mode network, showed significant differences in nodal network measures between the groups. Multi-richness in the left pars opercularis, multi-rich-club degree in the right posterior cingulate gyrus, and weighted multiplex participation in the right posterior cingulate gyrus were higher in patients with TGA compared with healthy controls (15.47 vs. 12.26, p = 0.0005; 41.68 vs. 37.16, p = 0.0005; 0.90 vs. 0.80, p = 0.0005; respectively). The multiplex core-periphery in the left precuneus was higher (0.96 vs. 0.84, p = 0.0005), whereas that in the transverse temporal gyrus was lower in patients with TGA compared with healthy controls (0.00 vs. 0.02, p = 0.0005).
We newly find the alterations in the multilayer network in patients with TGA compared with healthy controls, which shows the involvement of the default mode network. These changes may be related to the pathophysiology of TGA.
我们旨在研究短暂性全面性遗忘症（TGA）患者多层网络的改变。
我们纳入了124例TGA患者和80名健康对照者。TGA患者和健康对照者均接受了3T脑磁共振成像（MRI）检查。使用从T1加权成像得出的形态计量相似性网络创建灰质层矩阵，并基于扩散张量成像使用结构连通性构建白质层矩阵。通过应用图论分析进行多层网络分析。
两组之间的全局网络指标无显著差异。然而，与默认模式网络相关的几个区域在两组之间的节点网络指标上显示出显著差异。与健康对照者相比，TGA患者左侧额下回的多丰富度、右侧后扣带回的多富俱乐部度以及右侧后扣带回的加权多重参与度更高（分别为15.47对12.26，p = 0.0005；41.68对37.16，p = 0.0005；0.90对0.80，p = 0.0005）。TGA患者左侧楔前叶的多重核心-边缘度更高（0.96对0.84，p = 0.0005），而与健康对照者相比，TGA患者颞横回的多重核心-边缘度更低（0.00对0.02，p = 0.0005）。
与健康对照者相比，我们首次发现TGA患者多层网络存在改变，这表明默认模式网络受累。这些变化可能与TGA的病理生理学有关。
