The flow of axonal information among hippocampal sub-regions 2: patterned stimulation sharpens routing of information transmission

IF 3.4 3区 医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-10-20 DOI:10.3389/fncir.2023.1272925
Samuel Brandon Lassers, Yash S. Vakilna, William C. Tang, Gregory J. Brewer
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Abstract

The sub-regions of the hippocampal formation are essential for episodic learning and memory formation, yet the spike dynamics of each region contributing to this function are poorly understood, in part because of a lack of access to the inter-regional communicating axons. Here, we reconstructed hippocampal networks confined to four subcompartments in 2D cultures on a multi-electrode array that monitors individual communicating axons. In our novel device, somal, and axonal activity was measured simultaneously with the ability to ascertain the direction and speed of information transmission. Each sub-region and inter-regional axons had unique power-law spiking dynamics, indicating differences in computational functions, with abundant axonal feedback. After stimulation, spiking, and burst rates decreased in all sub-regions, spikes per burst generally decreased, intraburst spike rates increased, and burst duration decreased, which were specific for each sub-region. These changes in spiking dynamics post-stimulation were found to occupy a narrow range, consistent with the maintenance of the network at a critical state. Functional connections between the sub-region neurons and communicating axons in our device revealed homeostatic network routing strategies post-stimulation in which spontaneous feedback activity was selectively decreased and balanced by decreased feed-forward activity. Post-stimulation, the number of functional connections per array decreased, but the reliability of those connections increased. The networks maintained a balance in spiking and bursting dynamics in response to stimulation and sharpened network routing. These plastic characteristics of the network revealed the dynamic architecture of hippocampal computations in response to stimulation by selective routing on a spatiotemporal scale in single axons.

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海马亚区之间的轴突信息流 2:模式化刺激使信息传输路线更加清晰
海马形成的各个亚区对情节性学习和记忆的形成至关重要,但人们对每个亚区促进这一功能的尖峰动态却知之甚少,部分原因是缺乏对区域间交流轴突的访问。在这里,我们通过多电极阵列监测单个交流轴突,在二维培养物中重建了局限于四个亚区的海马网络。在我们的新型装置中,体细胞和轴突活动被同时测量,并能确定信息传输的方向和速度。每个子区域和区域间轴突都有独特的幂律尖峰动态,表明计算功能存在差异,轴突反馈也很丰富。刺激后,所有亚区域的尖峰和爆发率均下降,每次爆发的尖峰数普遍减少,爆发内尖峰率增加,爆发持续时间缩短,这在每个亚区域都有特定的表现。研究发现,这些刺激后尖峰动态变化的范围很窄,与网络维持在临界状态一致。我们装置中的子区域神经元和通信轴突之间的功能连接显示了刺激后的平衡网络路由策略,其中自发反馈活动被选择性地减少,并被减少的前馈活动所平衡。刺激后,每个阵列的功能连接数量减少,但这些连接的可靠性却增加了。网络对刺激的反应保持了尖峰和爆发动态的平衡,并使网络路由更加清晰。网络的这些可塑性特征揭示了海马计算的动态结构,它通过单轴突在时空尺度上的选择性路由来响应刺激。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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