Biohybrid restoration of the hippocampal loop re-establishes the non-seizing state in anin vitromodel of limbic seizures.

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of neural engineering Pub Date : 2023-08-03 DOI:10.1088/1741-2552/ace931
Davide Caron, Stefano Buccelli, Angel Canal-Alonso, Javad A Farsani, Giacomo Pruzzo, Bernabe Linares-Barranco, Juan Manuel Corchado, Michela Chiappalone, Gabriella Panuccio
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Abstract

Objective. The compromise of the hippocampal loop is a hallmark of mesial temporal lobe epilepsy (MTLE), the most frequent epileptic syndrome in the adult population and the most often refractory to medical therapy. Hippocampal sclerosis is found in >50% of drug-refractory MTLE patients and primarily involves the CA1, consequently disrupting the hippocampal output to the entorhinal cortex (EC). Closed-loop deep brain stimulation is the latest frontier to improve drug-refractory MTLE; however, current approaches do not restore the functional connectivity of the hippocampal loop, they are designed by trial-and-error and heavily rely on seizure detection or prediction algorithms. The objective of this study is to evaluate the anti-ictogenic efficacy and robustness of an artificial bridge restoring the dialog between hippocampus and EC.Approach. In mouse hippocampus-EC slices treated with 4-aminopyridine and in which the Schaffer Collaterals are severed, we established an artificial bridge between hippocampus and EC wherein interictal discharges originating in the CA3 triggered stimulation of the subiculum so to entrain EC networks. Combining quantification of ictal activity with tools from information theory, we addressed the efficacy of the bridge in controlling ictogenesis and in restoring the functional connectivity of the hippocampal loop.Main results. The bridge significantly decreased or even prevented ictal activity and proved robust to failure; when operating at 100% of its efficiency (i.e., delivering a pulse upon each interictal event), it recovered the functional connectivity of the hippocampal loop to a degree similar to what measured in the intact circuitry. The efficacy and robustness of the bridge stem in mirroring the adaptive properties of the CA3, which acts as biological neuromodulator.Significance. This work is the first stepping stone toward a paradigm shift in the conceptual design of stimulation devices for epilepsy treatment, from function control to functional restoration of the salient brain circuits.

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海马体环生物杂交修复在脑边缘癫痫的体外模型中重建非癫痫状态。
目标。海马环的损害是内侧颞叶癫痫(MTLE)的一个标志,这是成人人群中最常见的癫痫综合征,也是最难以药物治疗的。海马硬化在50%以上的耐药MTLE患者中发现,主要涉及CA1,因此破坏海马向内嗅皮层(EC)的输出。闭环脑深部刺激是改善难治性MTLE的最新前沿;然而,目前的方法并不能恢复海马体环路的功能连接,它们是通过反复试验设计的,并且严重依赖于癫痫检测或预测算法。本研究的目的是评估人工桥恢复海马和ec之间对话的抗ictogenic功效和稳健性。在4-氨基吡啶处理的小鼠海马-EC切片中,我们在海马和EC之间建立了一个人工桥,其中源自CA3的间期放电触发了对下托的刺激,从而使EC网络进入。结合信息论的工具和量化的脑电图活动,我们探讨了脑桥在控制脑电图发生和恢复海马环路功能连接方面的功效。主要的结果。桥梁显著减少甚至阻止了致命活动,并证明了其抗破坏能力;当它以100%的效率运行时(即在每个间隔事件上传递脉冲),它恢复了海马体环路的功能连通性,其程度与在完整电路中测量的程度相似。桥干的有效性和鲁棒性反映了作为生物神经调节剂的CA3的自适应特性。这项工作是癫痫治疗刺激装置概念设计范式转变的第一步,从功能控制到显著脑回路的功能恢复。
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来源期刊
Journal of neural engineering
Journal of neural engineering 工程技术-工程:生物医学
CiteScore
7.80
自引率
12.50%
发文量
319
审稿时长
4.2 months
期刊介绍: The goal of Journal of Neural Engineering (JNE) is to act as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering. The journal publishes articles in the field of neural engineering at the molecular, cellular and systems levels. The scope of the journal encompasses experimental, computational, theoretical, clinical and applied aspects of: Innovative neurotechnology; Brain-machine (computer) interface; Neural interfacing; Bioelectronic medicines; Neuromodulation; Neural prostheses; Neural control; Neuro-rehabilitation; Neurorobotics; Optical neural engineering; Neural circuits: artificial & biological; Neuromorphic engineering; Neural tissue regeneration; Neural signal processing; Theoretical and computational neuroscience; Systems neuroscience; Translational neuroscience; Neuroimaging.
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