Department of Neurology, Columbia University Medical Center, New York, New York, 10032.
Department of Neurosurgery, University of Utah, Salt Lake City, Utah, 84132.
J Neurosci. 2021 Jan 27;41(4):766-779. doi: 10.1523/JNEUROSCI.0417-20.2020. Epub 2020 Nov 23.
Analyzing neuronal activity during human seizures is pivotal to understanding mechanisms of seizure onset and propagation. These analyses, however, invariably using extracellular recordings, are greatly hindered by various phenomena that are well established in animal studies: changes in local ionic concentration, changes in ionic conductance, and intense, hypersynchronous firing. The first two alter the action potential waveform, whereas the third increases the "noise"; all three factors confound attempts to detect and classify single neurons. To address these analytical difficulties, we developed a novel template-matching-based spike sorting method, which enabled identification of 1239 single neurons in 27 patients (13 female) with intractable focal epilepsy, that were tracked throughout multiple seizures. These new analyses showed continued neuronal firing with widespread intense activation and stereotyped action potential alterations in tissue that was invaded by the seizure: neurons displayed increased waveform duration ( < 0.001) and reduced amplitude ( < 0.001), consistent with prior animal studies. By contrast, neurons in "penumbral" regions (those receiving intense local synaptic drive from the seizure but without neuronal evidence of local seizure invasion) showed stable waveforms. All neurons returned to their preictal waveforms after seizure termination. We conclude that the distinction between "core" territories invaded by the seizure versus "penumbral" territories is evident at the level of single neurons. Furthermore, the increased waveform duration and decreased waveform amplitude are neuron-intrinsic hallmarks of seizure invasion that impede traditional spike sorting and could be used as defining characteristics of local recruitment. Animal studies consistently show marked changes in action potential waveform during epileptic discharges, but acquiring similar evidence in humans has proven difficult. Assessing neuronal involvement in ictal events is pivotal to understanding seizure dynamics and in defining clinical localization of epileptic pathology. Using a novel method to track neuronal firing, we analyzed microelectrode array recordings of spontaneously occurring human seizures, and here report two dichotomous activity patterns. In cortex that is recruited to the seizure, neuronal firing rates increase and waveforms become longer in duration and shorter in amplitude as the neurons are recruited to the seizure, while penumbral tissue shows stable action potentials, in keeping with the "dual territory" model of seizure dynamics.
分析人类癫痫发作时的神经元活动对于理解癫痫发作的起始和传播机制至关重要。然而,这些分析通常使用细胞外记录,受到各种在动物研究中已经确立的现象的极大阻碍:局部离子浓度的变化、离子电导率的变化以及强烈的、超同步的放电。前两种现象改变了动作电位的波形,而第三种现象增加了“噪声”;所有这三个因素都混淆了检测和分类单个神经元的尝试。为了解决这些分析上的困难,我们开发了一种新的基于模板匹配的尖峰分类方法,该方法能够识别 27 名难治性局灶性癫痫患者(13 名女性)的 1239 个单个神经元,这些神经元在多次癫痫发作中被跟踪。这些新的分析显示,在被癫痫侵袭的组织中,神经元继续放电,表现出广泛的强烈激活和定型的动作电位改变:神经元表现出增加的波形持续时间(<0.001)和减少的幅度(<0.001),与之前的动物研究一致。相比之下,在“边缘区”(那些受到来自癫痫的强烈局部突触驱动但没有局部癫痫入侵的神经元证据)的神经元表现出稳定的波形。所有神经元在癫痫发作终止后恢复到发作前的波形。我们的结论是,在单个神经元水平上,区分被癫痫侵袭的“核心”区域和“边缘”区域是明显的。此外,波形持续时间增加和幅度减小是癫痫入侵的神经元内在特征,这会阻碍传统的尖峰分类,并可作为局部募集的特征。动物研究一致表明,在癫痫发作期间动作电位的波形发生明显变化,但在人类中获得类似的证据证明是困难的。评估神经元在癫痫发作事件中的参与对于理解癫痫发作的动态和定义癫痫病理的临床定位至关重要。我们使用一种新的方法来跟踪神经元的放电,分析了自发发生的人类癫痫发作的微电极阵列记录,并在此报告两种二分活动模式。在被癫痫募集的皮层中,随着神经元被募集到癫痫中,神经元的放电率增加,波形的持续时间变长,幅度变短,而边缘组织显示出稳定的动作电位,与癫痫发作动力学的“双重区域”模型一致。