Zhong Jiyuan, Tan Ge, Wang Haijiao, Chen Yangmei
International Medical College of Chongqing Medical University, Chongqing, China.
Epilepsy Center, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Front Neurol. 2023 Jun 16;14:1153563. doi: 10.3389/fneur.2023.1153563. eCollection 2023.
The network mechanism underlying the initial response to antiseizure medication in epilepsy has not been revealed yet. Given the central role of the thalamus in the brain network, we conducted a case-control study to investigate the association between thalamic connectivity and medication response.
We recruited 39 patients with newly diagnosed and medication-naïve epilepsy of genetic or unknown etiology, including 26 with a good response (GR group) and 13 with a poor response (PR group), and 26 matched healthy participants (control group). We measured the gray matter density (GMD) and the amplitude of low-frequency fluctuation (ALFF) of bilateral thalami. We then set each thalamus as the seed region of interest (ROI) to calculate voxel-wise functional connectivity (FC) and assessed ROI-wise effective connectivity (EC) between the thalamus and targeted regions.
We found no significant difference between groups in the GMD or ALFF of bilateral thalami. However, we observed that the FC values of several circuits connecting the left thalamus and the cortical areas, including the bilateral Rolandic operculum, the left insula, the left postcentral gyrus, the left supramarginal gyrus, and the left superior temporal gyrus, differed among groups (False Discovery Rate correction, < 0.05), with a higher value in the PR group than in the GR group and/or the control group (Bonferroni correction, < 0.05). Similarly, both the outflow and the inflow EC in each thalamocortical circuit were higher in the PR group than in the GR group and the control group, although these differences did not remain statistically significant after applying the Bonferroni correction ( < 0.05). The FC showed a positive correlation with the corresponding outflow and inflow ECs for each circuit.
Our finding suggested that patients with stronger thalamocortical connectivity, potentially driven by both thalamic outflowing and inflowing information, may be more likely to respond poorly to initial antiseizure medication.
癫痫发作初始阶段对抗癫痫药物反应的潜在网络机制尚未明确。鉴于丘脑在脑网络中的核心作用,我们开展了一项病例对照研究,以探究丘脑连接性与药物反应之间的关联。
我们招募了39例新诊断且未接受过药物治疗的遗传性或病因不明的癫痫患者,其中26例反应良好(GR组),13例反应较差(PR组),以及26例匹配的健康参与者(对照组)。我们测量了双侧丘脑的灰质密度(GMD)和低频振幅(ALFF)。然后将每个丘脑设为感兴趣种子区域(ROI),计算体素功能连接性(FC),并评估丘脑与目标区域之间基于ROI的有效连接性(EC)。
我们发现,双侧丘脑的GMD或ALFF在各组之间无显著差异。然而,我们观察到,连接左侧丘脑与皮质区域的几个回路的FC值在各组之间存在差异(错误发现率校正,<0.05),PR组的值高于GR组和/或对照组(Bonferroni校正,<0.05),这些皮质区域包括双侧中央前回、左侧岛叶、左侧中央后回、左侧缘上回和左侧颞上回。同样,虽然在应用Bonferroni校正(<0.05)后这些差异不再具有统计学意义,但每个丘脑皮质回路的流出和流入EC在PR组中均高于GR组和对照组。每个回路的FC与相应的流出和流入EC呈正相关。
我们的研究结果表明,丘脑皮质连接性较强的患者,可能是由丘脑的流出和流入信息驱动,可能对初始抗癫痫药物反应较差。