Back to Search Start Over

Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.

Authors :
Romani, Armando
Antonietti, Alberto
Bella, Davide
Budd, Julian
Giacalone, Elisabetta
Kurban, Kerem
Sáray, Sára
Abdellah, Marwan
Arnaudon, Alexis
Boci, Elvis
Colangelo, Cristina
Courcol, Jean-Denis
Delemontex, Thomas
Ecker, András
Falck, Joanne
Favreau, Cyrille
Gevaert, Michael
Hernando, Juan B.
Herttuainen, Joni
Ivaska, Genrich
Source :
PLoS Biology; 11/5/2024, Vol. 22 Issue 11, p1-61, 61p
Publication Year :
2024

Abstract

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. Integrating data from different experimental approaches into one model is challenging. This study presents a community-based, full-scale in silico model of the rat hippocampal CA1 region that integrates diverse experimental data from synapse to network. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15449173
Volume :
22
Issue :
11
Database :
Complementary Index
Journal :
PLoS Biology
Publication Type :
Academic Journal
Accession number :
180680182
Full Text :
https://doi.org/10.1371/journal.pbio.3002861