Wang Yifan, Yu Tao, Ma Yulan, Cui Weigang, Wang Xueyuan, Ren Liankun, Li Yang
Department of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Beijing Institute of Functional Neurosurgery, Department of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Neuroscience. 2025 Jul 23;579:329-343. doi: 10.1016/j.neuroscience.2025.06.025. Epub 2025 Jun 11.
Deep brain stimulation of anterior nucleus of the thalamus (ANT-DBS) is an effective clinical treatment for drug-resistant focal epilepsy. However, the complex epileptic network characteristics underlying ANT-stimulation effectiveness remain unknown, owing to currently unclear connectivity between ANT and seizure-related cortex in pre-ictal periods. Here, we developed a novel individualized pre-ictal ANT-cortical tripartite connectivity network (PANT-CTCNet), aiming to reveal epileptic network characteristics using intracranial stereo-electroencephalography (sEEG) recordings in five patients with focal epilepsy for 90 trials. Each trial represented a pre-ictal or post-stimulus sEEG duration, which was used to construct the epileptic network. By employing conditional Granger causality, we constructed individualized ANT-cortical connectivity networks and found a common epileptic network centred on ANT closely connected with seizure-related cortex in pre-ictal periods. After ANT stimulation for clinical validation, strengthened pre-ictal connectivity between ANT and epileptogenic zones led to significant decline in the causal intensity of epileptic networks. The PANT-CTCNet can give a quantitative reference for clinical preoperative evaluation of patient suitability for ANT-DBS treatment. These findings regarding epileptic network characteristics provide theoretical basis in the selection of optimal surgical candidates for personalized ANT-DBS.
丘脑前核深部脑刺激(ANT-DBS)是治疗耐药性局灶性癫痫的一种有效临床疗法。然而,由于目前尚不清楚发作前期ANT与癫痫相关皮层之间的连接情况,ANT刺激有效性背后复杂的癫痫网络特征仍不为人知。在此,我们开发了一种新型的个体化发作前期ANT-皮层三方连接网络(PANT-CTCNet),旨在利用5例局灶性癫痫患者的颅内立体脑电图(sEEG)记录进行90次试验,以揭示癫痫网络特征。每次试验代表一次发作前期或刺激后sEEG持续时间,用于构建癫痫网络。通过运用条件格兰杰因果关系,我们构建了个体化的ANT-皮层连接网络,并发现了一个以ANT为中心的常见癫痫网络,在发作前期与癫痫相关皮层紧密相连。经过ANT刺激进行临床验证后,ANT与致痫区之间发作前期连接的增强导致癫痫网络的因果强度显著下降。PANT-CTCNet可为临床术前评估患者是否适合ANT-DBS治疗提供定量参考。这些关于癫痫网络特征的发现为个性化ANT-DBS选择最佳手术候选者提供了理论依据。