基于群落的大鼠海马 CA1 区全尺度模型重建与模拟

IF 9.8 1区 生物学 Q1 Agricultural and Biological Sciences
PLoS Biology Pub Date : 2024-11-05 eCollection Date: 2024-11-01 DOI:10.1371/journal.pbio.3002861
Armando Romani, Alberto Antonietti, Davide Bella, Julian Budd, Elisabetta Giacalone, Kerem Kurban, Sára Sáray, Marwan Abdellah, Alexis Arnaudon, Elvis Boci, Cristina Colangelo, Jean-Denis Courcol, Thomas Delemontex, András Ecker, Joanne Falck, Cyrille Favreau, Michael Gevaert, Juan B Hernando, Joni Herttuainen, Genrich Ivaska, Lida Kanari, Anna-Kristin Kaufmann, James Gonzalo King, Pramod Kumbhar, Sigrun Lange, Huanxiang Lu, Carmen Alina Lupascu, Rosanna Migliore, Fabien Petitjean, Judit Planas, Pranav Rai, Srikanth Ramaswamy, Michael W Reimann, Juan Luis Riquelme, Nadir Román Guerrero, Ying Shi, Vishal Sood, Mohameth François Sy, Werner Van Geit, Liesbeth Vanherpe, Tamás F Freund, Audrey Mercer, Eilif Muller, Felix Schürmann, Alex M Thomson, Michele Migliore, Szabolcs Káli, Henry Markram
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引用次数: 0

摘要

海马 CA1 区是啮齿类动物大脑中研究最多的区域之一,被认为在记忆和空间导航等认知功能中发挥着重要作用。尽管有大量关于其结构和功能的实验数据,但整合从不同实验方法中获得的信息一直是个挑战。为了应对这一挑战,我们提出了一个基于群体的大鼠 CA1 全尺度硅学模型,该模型整合了从突触到网络的大量实验数据,包括重建其主要传入、沙弗副神经和乙酰胆碱对该系统的影响模型。我们测试并验证了每个模型组件和最终网络模型,并使输入数据、假设和策略清晰透明。该模型独特的灵活性使科学家们有可能解决一系列科学问题。在本文中,我们介绍了建立模拟以重现体外和体内实验的方法。在文章的几项应用中,我们重点讨论了与各种行为相关的海马振荡--θ节律,并利用我们的计算机模型重现了实验结果。最后,我们通过 hippocampushub.eu 门户网站提供数据、代码和模型,该门户网站还提供了一套广泛的模型分析和用户友好界面,以方便采纳和使用。这个基于社区的模型是整合各种实验数据的宝贵工具,为进一步研究海马 CA1 区的复杂工作机制奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.

The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, it has been challenging to integrate information obtained from diverse experimental approaches. To address this challenge, we present a community-based, full-scale in silico model of the rat CA1 that integrates a broad range of experimental data, from synapse to network, including the reconstruction of its principal afferents, the Schaffer collaterals, and a model of the effects that acetylcholine has on the system. We tested and validated each model component and the final network model, and made input data, assumptions, and strategies explicit and transparent. The unique flexibility of the model allows scientists to potentially address a range of scientific questions. In this article, we describe the methods used to set up simulations to reproduce in vitro and in vivo experiments. Among several applications in the article, we focus on theta rhythm, a prominent hippocampal oscillation associated with various behavioral correlates and use our computer model to reproduce experimental findings. Finally, we make data, code, and model available through the hippocampushub.eu portal, which also provides an extensive set of analyses of the model and a user-friendly interface to facilitate adoption and usage. This community-based model represents a valuable tool for integrating diverse experimental data and provides a foundation for further research into the complex workings of the hippocampal CA1 region.

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来源期刊
PLoS Biology
PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY
CiteScore
15.40
自引率
2.00%
发文量
359
审稿时长
3-8 weeks
期刊介绍: PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.
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