Cell-type specific and multiscale dynamics of human focal seizures in limbic structures

Alexander H. C. W. Agopyan-Miu, E. Merricks, Elliot H. Smith, G. Mckhann, S. Sheth, N. Feldstein, A. Trevelyan, C. Schevon
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Abstract

The relationship between clinically accessible epileptic biomarkers and neuronal activity underlying the seizure transition 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 while others suggest 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 principles applied also in limbic structures. We analyzed simultaneous ECoG and neuronal recordings during 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, at times co-existing within seizures. 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, our results of reduced neuronal firing suggest 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 if it indicates a "seizure-responsive" state in which the hippocampus is not the primary driver. If the latter, distinguishing such cases may help refine surgical treatment of mesial temporal lobe epilepsy.
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人类局灶性癫痫在大脑边缘结构中的细胞类型特异性和多尺度动力学
临床可获得的癫痫生物标志物与癫痫发作转变背后的神经元活动之间的关系是复杂的,可能导致癫痫发病脑区域的不精确描述。特别是,癫痫发作时神经元间放电的模式仍然存在争议,一些研究表明放电增加,而另一些研究表明放电减少。先前对新皮质部位的研究表明,癫痫发作的重新招募发生在抑制失败的时候,而在非重新招募的区域则有完整的前馈抑制。我们研究了同样的原理是否也适用于大脑边缘结构。我们分析了19例(男10例,女9例)接受耐药性局灶性癫痫手术评估的34次癫痫发作期间的ECoG和神经元记录。采用从ECoG和多单元数据计算的五个定量指标的聚类方法来区分癫痫发作期间三种特定部位的活动模式,有时在癫痫发作期间共存。156个单单元被分离出来,按细胞类型细分,并使用我们之前发表的方法跟踪癫痫发作,以解释癫痫发作引起的噪音增加和单单元波形变化的影响。一组与临床定义的癫痫发作或扩散密切相关。在个体癫痫发作的水平上,高γ活动伴随低频节律是唯一可靠地识别该簇的指标(p < 0.001)。第二个簇表现出与第一个簇相似的多单元特征,但没有伴随的高伽马夹带,表明癫痫发作的前馈效应。最后一个集群捕获的区域显然不受正在进行的捕获的影响。在所有区域中,大多数兴奋性和抑制性神经元减少(69.2%)或停止放电(21.8%)。神经元间放电率的短暂增加是罕见的(13.5%),但显示出完整的前馈抑制的证据,最大的放电率增加和未完全招募的区域的波形变形,但显示出癫痫发作的前馈活动,以及癫痫招募区域向爆发放电的转变(p = 0.014)。这项研究提供了证据,证明携带的高伽马活动是边缘结构中临界招募的准确生物标志物。然而,我们的研究结果表明,尽管癫痫发作的同时有恢复的迹象,但在内侧颞叶结构中保留了抑制,这与在新皮层中记录的抑制性崩溃情况相反。需要进一步的研究来确定这种活动是否普遍存在于海马体癫痫发作中,或者它是否表明海马体不是主要驱动因素的“癫痫反应”状态。如果是后者,区分此类病例可能有助于改进内侧颞叶癫痫的手术治疗。
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