整合成人神经发生和人脑类器官模型,推进癫痫及相关行为研究

IF 2.3 3区 医学 Q2 BEHAVIORAL SCIENCES Epilepsy & Behavior Pub Date : 2024-08-24 DOI:10.1016/j.yebeh.2024.109982
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引用次数: 0

摘要

癫痫是一种慢性神经系统疾病,其特征是反复发作、无诱因的癫痫发作、不对称的脑电图模式以及其他病理异常。海马体在学习、记忆巩固、注意力控制和模式分离方面发挥着关键作用。海马网络回路受损可诱发长期认知和记忆功能障碍。在这篇综述中,我们将讨论成人神经发生和可塑性异常如何共同改变海马神经网络内信息处理的网络平衡。随后,我们探讨了将人脑器官组织集成到微电极阵列技术中作为电生理学工具的潜力。我们还讨论了在虚拟环境中利用闭环平台将大脑有机体与移动机器人连接起来的问题。虽然体内模型为癫痫发生的某些方面提供了宝贵的见解,如成人神经发生对海马功能的影响,但要全面研究涉及人类癫痫基因突变的癫痫发生,脑器官模型是不可或缺的。更重要的是,在MEA上使用脑器官组织的组合方法为研究癫痫神经网络内受损的可塑性和异常信息处理铺平了道路。这种创新的体外方法可为研究异常神经网络与移动机器人结合后的行为结果提供新的途径,从而实现脑器官组织中的神经网络与移动机器人之间的闭环。在这篇综述中,我们旨在讨论使用每种模型研究癫痫的行为变化,并强调体内和体外模型对理解癫痫行为方面的益处。
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Integrating adult neurogenesis and human brain organoid models to advance epilepsy and associated behavioral research

Epilepsy is a chronic neurological disorder characterized by recurring, unprovoked seizures, asymmetrical electroencephalogram patterns, and other pathological abnormalities. The hippocampus plays a pivotal role in learning, memory consolidation, attentional control, and pattern separation. Impairment of hippocampal network circuitry can induce long-term cognitive and memory dysfunction. In this review, we discuss how aberrant adult neurogenesis and plasticity collectively alter the network balance for information processing within the hippocampal neural network. Subsequently, we explore the potential of human brain organoids integrated into microelectrode array technology as an electrophysiological tool. We also discuss the utilization of a closed-loop platform that connects the brain organoid to a mobile robot in a virtual environment. While in vivo models provide valuable insights into some aspects of epileptogenesis, such as the impact of adult neurogenesis on hippocampal function, brain organoids are indispensable for comprehensively studying epileptogenesis involving genetic mutations that underlie human epilepsy. More importantly, a combinational approach using brain organoids on MEA paves the way for studying impaired plasticity and abnormal information processing within epileptic neural networks. This innovative in vitro approach may provide a new pathway for investigating the behavioral outcomes of aberrant neural networks when integrated with a mobile robot, closing the loop between the neural network in brain organoids and the mobile robot. In this review, we aim to discuss the use of each model to study the behavioral changes in epilepsy and highlight the benefits of both in vivo and in vitro models for understanding the behavioral aspects of epilepsy.

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来源期刊
Epilepsy & Behavior
Epilepsy & Behavior 医学-行为科学
CiteScore
5.40
自引率
15.40%
发文量
385
审稿时长
43 days
期刊介绍: Epilepsy & Behavior is the fastest-growing international journal uniquely devoted to the rapid dissemination of the most current information available on the behavioral aspects of seizures and epilepsy. Epilepsy & Behavior presents original peer-reviewed articles based on laboratory and clinical research. Topics are drawn from a variety of fields, including clinical neurology, neurosurgery, neuropsychiatry, neuropsychology, neurophysiology, neuropharmacology, and neuroimaging. From September 2012 Epilepsy & Behavior stopped accepting Case Reports for publication in the journal. From this date authors who submit to Epilepsy & Behavior will be offered a transfer or asked to resubmit their Case Reports to its new sister journal, Epilepsy & Behavior Case Reports.
期刊最新文献
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