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Abstract #4128

The hippocampus CA1 microcircuit is ready to join the taskforce of region-specific mean field models for a comprehensive virtual brain simulation

Roberta Maria Lorenzi1, Federico Tesler2, Claudia Casellato1,3, Fulvia Palesi1,3, Claudia A.M. Gandini Wheeler Kingshott1,3,4, Michele Migliore5, Alain Destexhe2, and Egidio D'Angelo1,3
1Department of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy, 2Paris-Saclay University, CNRS, Paris-Saclay Institute of Neuroscience,Gif-sur-Yvette, Paris, France, 3Digital Neuroscience Centre, IRCCS Mondino Foundation, Pavia, Italy, 4NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 5Institute of Biophysics, National Research Council, Palermo, Italy

Synopsis

Keywords: Biology, Models, Methods, Neuroscience, Modelling, new device, hippocampus

Motivation: Virtual brains are proving quite successful for BOLD signal simulation but they still lack a specific mathematical description of individual brain regions.

Goal(s): Our goal was to develop a specific mean field model (MF) of the hippocampus CA1 microcircuit.

Approach: A bottom-up formalism recently developed for the cerebral and cerebellar cortex was adopted. It is based on a transfer function, which remaps neuronal microscale features from cellular recordings to the mean field mesoscale domain.

Results: The hippocampus CA1 MF reproduced the neuronal activity of the microcircuit and captured learning mechanisms.

Impact: The mean field of the hippocampus CA1 microcircuit enriches the growing collection of region-specific models. Its forthcoming integration into virtual brains together with other region-specific models has the potential to achieve a comprehensive and personalised BOLD signal dynamics simulation.

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Keywords