Schmalz Joseph, Quinarez Rachel V, Kothare Mayuresh V, Kumar Gautam
Department of Chemical and Biological Engineering, University of Idaho, Moscow, ID, United States.
Department of Aerospace Engineering, San José State University, San José, CA, United States.
Front Comput Neurosci. 2023 Jun 28;17:1084080. doi: 10.3389/fncom.2023.1084080. eCollection 2023.
Epileptic seizure is typically characterized by highly synchronized episodes of neural activity. Existing stimulation therapies focus purely on suppressing the pathologically synchronized neuronal firing patterns during the ictal (seizure) period. While these strategies are effective in suppressing seizures when they occur, they fail to prevent the re-emergence of seizures once the stimulation is turned off. Previously, we developed a novel neurostimulation motif, which we refer to as "Forced Temporal Spike-Time Stimulation" (FTSTS) that has shown remarkable promise in long-lasting desynchronization of excessively synchronized neuronal firing patterns by harnessing synaptic plasticity. In this paper, we build upon this prior work by optimizing the parameters of the FTSTS protocol in order to efficiently desynchronize the pathologically synchronous neuronal firing patterns that occur during epileptic seizures using a recently published computational model of neocortical-onset seizures. We show that the FTSTS protocol applied during the ictal period can modify the excitatory-to-inhibitory synaptic weight in order to effectively desynchronize the pathological neuronal firing patterns even after the ictal period. Our investigation opens the door to a possible new neurostimulation therapy for epilepsy.
癫痫发作的典型特征是神经活动高度同步的发作。现有的刺激疗法纯粹专注于在发作期抑制病理同步的神经元放电模式。虽然这些策略在发作发生时有效抑制癫痫发作,但一旦刺激停止,它们就无法防止癫痫发作再次出现。此前,我们开发了一种新颖的神经刺激模式,我们称之为“强制时间尖峰时间刺激”(FTSTS),通过利用突触可塑性,它在使过度同步的神经元放电模式长期去同步方面显示出显著的前景。在本文中,我们基于之前的工作,通过优化FTSTS方案的参数,利用最近发表的新皮质起始癫痫发作的计算模型,有效地使癫痫发作期间出现的病理同步神经元放电模式去同步。我们表明,在发作期应用FTSTS方案可以改变兴奋性与抑制性突触权重,以便即使在发作期过后也能有效地使病理神经元放电模式去同步。我们的研究为一种可能的癫痫新神经刺激疗法打开了大门。