Department of Neurological Surgery, Columbia University Medical Center, NewYork, NY 10032, USA.
Department of Neurology, Columbia University Medical Center, NewYork, NY 10032, USA.
Brain. 2023 Dec 1;146(12):5209-5223. doi: 10.1093/brain/awad262.
The relationship between clinically accessible epileptic biomarkers and neuronal activity underlying the transition to seizure is complex, potentially leading to imprecise delineation of epileptogenic brain areas. In particular, the pattern of interneuronal firing at seizure onset remains under debate, with some studies demonstrating increased firing and others suggesting reductions. Previous study of neocortical sites suggests that seizure recruitment occurs upon failure of inhibition, with intact feedforward inhibition in non-recruited territories. We investigated whether the same principle applies in limbic structures. We analysed simultaneous electrocorticography (ECoG) and neuronal recordings of 34 seizures in a cohort of 19 patients (10 male, 9 female) undergoing surgical evaluation for pharmacoresistant focal epilepsy. A clustering approach with five quantitative metrics computed from ECoG and multiunit data was used to distinguish three types of site-specific activity patterns during seizures, which at times co-existed within seizures. Overall, 156 single units were isolated, subclassified by cell-type and tracked through the seizure using our previously published methods to account for impacts of increased noise and single-unit waveshape changes caused by seizures. One cluster was closely associated with clinically defined seizure onset or spread. Entrainment of high-gamma activity to low-frequency ictal rhythms was the only metric that reliably identified this cluster at the level of individual seizures (P < 0.001). A second cluster demonstrated multi-unit characteristics resembling those in the first cluster, without concomitant high-gamma entrainment, suggesting feedforward effects from the seizure. The last cluster captured regions apparently unaffected by the ongoing seizure. Across all territories, the majority of both excitatory and inhibitory neurons reduced (69.2%) or ceased firing (21.8%). Transient increases in interneuronal firing rates were rare (13.5%) but showed evidence of intact feedforward inhibition, with maximal firing rate increases and waveshape deformations in territories not fully recruited but showing feedforward activity from the seizure, and a shift to burst-firing in seizure-recruited territories (P = 0.014). This study provides evidence for entrained high-gamma activity as an accurate biomarker of ictal recruitment in limbic structures. However, reduced neuronal firing suggested preserved inhibition in mesial temporal structures despite simultaneous indicators of seizure recruitment, in contrast to the inhibitory collapse scenario documented in neocortex. Further study is needed to determine if this activity is ubiquitous to hippocampal seizures or indicates a 'seizure-responsive' state in which the hippocampus is not the primary driver. If the latter, distinguishing such cases may help to refine the surgical treatment of mesial temporal lobe epilepsy.
临床可及的癫痫生物标志物与向癫痫发作转变相关的神经元活动之间的关系很复杂,可能导致致痫脑区的划分不够精确。特别是,发作起始时中间神经元放电模式仍存在争议,一些研究表明放电增加,而另一些研究则表明放电减少。先前对新皮层部位的研究表明,癫痫募集发生在抑制失败时,非募集区域存在完整的前馈抑制。我们研究了同样的原理是否适用于边缘结构。我们分析了 19 名接受药物难治性局灶性癫痫手术评估的患者(10 名男性,9 名女性)的 34 次癫痫发作的同步皮层脑电图(ECoG)和神经元记录。使用从 ECoG 和多单位数据计算的五个定量指标的聚类方法,可区分癫痫发作期间三种特定部位的活动模式,这些模式有时在癫痫发作期间同时存在。总的来说,共分离出 156 个单个单位,根据细胞类型进行分类,并使用我们之前发表的方法跟踪单个单位的癫痫发作,以考虑到噪声增加和单个单位波形变化对癫痫发作的影响。一个簇与临床定义的癫痫发作起始或传播密切相关。高伽马活动与低频癫痫节律的同步是唯一一种能够在单个癫痫发作水平可靠识别该簇的指标(P < 0.001)。第二个簇表现出与第一个簇相似的多单位特征,但没有伴随的高伽马同步,提示来自癫痫的前馈效应。最后一个簇捕获了显然不受正在进行的癫痫影响的区域。在所有部位,兴奋性和抑制性神经元的减少(69.2%)或停止放电(21.8%)占大多数。中间神经元放电率的短暂增加很少见(13.5%),但表现出完整的前馈抑制的证据,最大放电率增加和波形变形发生在未完全募集的区域,但显示出来自癫痫的前馈活动,以及在癫痫募集区域向爆发式放电的转变(P = 0.014)。这项研究提供了证据表明,同步的高伽马活动是边缘结构中癫痫募集的准确生物标志物。然而,尽管存在同时表明癫痫募集的指标,但内侧颞叶结构中的神经元放电减少表明抑制作用得到保留,这与新皮层中记录到的抑制崩溃情况形成对比。需要进一步的研究来确定这种活动是否普遍存在于海马癫痫发作中,或者是否表明在这种情况下,海马不是主要驱动因素,而是处于“癫痫反应”状态。如果是后者,区分这种情况可能有助于完善内侧颞叶癫痫的手术治疗。