Cortical, striatal, and thalamic populations self-organize into a functionally connected circuit with long-term memory properties

IF 10.7 1区 生物学 Q1 BIOPHYSICS
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Abstract

The human brain is a complex organ with an intricate neuronal connectivity and diverse functional regions. Neurological disorders often disrupt the delicate balance among these anatomical compartments, resulting in severe impairments. The available therapeutic options constitute an incomplete solution as many patients respond partially, highlighting the need for continued research into causes and treatments. Bottom-up approaches, like in vitro models, offer insights into brain functions as they recreate the in vivo microenvironment that allows studying how specific features affect physiological and pathological conditions. In this work, we engineered the cortical-striatal-thalamic (CST) circuit, involved in many brain functions such as action initiation and selection, using a three-compartment polymeric device. We characterized the emerging spontaneous electrophysiological activity by using Micro-Electrode Arrays (MEAs). Cortical neurons exhibited complex bursting activity, which influenced the entire circuit. Striatal and thalamic neurons displayed predominantly tonic firing when isolated, while interconnections with the cortex synchronized and organized their neuronal activity, highlighting the cortical pivotal role in bursting activity and information processing. The CST circuit demonstrated self-organization abilities and displayed high entropy values, indicative of dynamic richness and information encoding potential. Furthermore, we proved the CST’s involvement in learning and memory. Our CST model provides a platform for further exploration into brain circuitry and potential therapeutic interventions, underscoring the necessity of realistic in vitro models to fully understand neurological diseases' pathophysiology.
大脑皮层、纹状体和丘脑群体自组织成具有长期记忆特性的功能连接回路
人脑是一个复杂的器官,具有错综复杂的神经元连接和不同的功能区域。神经系统疾病往往会破坏这些解剖区域之间的微妙平衡,导致严重的功能障碍。现有的治疗方案并不能完全解决问题,因为许多患者只能做出部分反应,这凸显了对病因和治疗方法进行持续研究的必要性。自下而上的方法,如体外模型,可以重现体内微环境,研究特定特征如何影响生理和病理状况,从而深入了解大脑功能。在这项工作中,我们利用三室聚合物装置设计了皮质-纹状体-丘脑(CST)回路,它参与了许多大脑功能,如动作启动和选择。我们使用微电极阵列(MEA)描述了新出现的自发电生理活动。皮层神经元表现出复杂的爆发活动,影响了整个回路。纹状体和丘脑神经元在孤立状态下主要表现为强直性发射,而与大脑皮层的相互连接则同步和组织了它们的神经元活动,突出了大脑皮层在猝发活动和信息处理中的关键作用。CST 电路表现出自组织能力,并显示出高熵值,表明其具有丰富的动态性和信息编码潜力。此外,我们还证明了 CST 参与了学习和记忆。我们的 CST 模型为进一步探索大脑回路和潜在的治疗干预措施提供了一个平台,强调了逼真的体外模型对全面了解神经系统疾病病理生理学的必要性。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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