P054 Integrating Arbor and TVB for multi-scale modeling: a novel co-simulation framework applied to seizure generation and propagation
Thorsten Hater*1,Juliette Courson2, Han Lu1, Sandra Diaz Pier1, Thanos Manos2
1Jülich Supercomputing Centre, Forschungszentrum Jülich 2ETIS Lab, ENSEA, CNRS, UMR8051, CY Cergy-Paris University, Cergy, France 3Department of Computer Science, University of Warwick, Coventry, UK *Email: t.hater@fz-juelich.de Introduction Computational neuroscience has traditionally focused on isolated scales, limiting our understanding of brain function across multiple levels. Microscopic models capture biophysical details of neurons, while macroscopic models describe large-scale network dynamics. However, integrating these levels into a unified framework remains a significant challenge.Methods We present a novel co-simulation framework integratingArborandThe Virtual Brain (TVB). Arbor, a next-generation neural simulator, enables biophysically detailed simulations of single neurons and networks [1], while TVB models whole-brain dynamics based on anatomical connectivity [2]. Our framework employs anMPI intercommunicatorfor real-time bidirectional interaction, converting discrete spikes from Arbor into continuous activity in TVB, and vice versa. This approach allows for the replacement of TVB nodes with detailed neuron populations, enabling multi-scale modeling of brain dynamics.Results To demonstrate the framework’s capabilities, we conducted a case study on seizure generation at the neuronal level and its whole-brain propagation [3,4]. The Arbor-TVB co-simulation successfully captured the emergence of seizure activity in single neurons and its large-scale spread across the brain network, highlighting the feasibility of integrating micro- and macro-scale dynamics.Discussion The Arbor-TVB framework provides a comprehensive computational tool for studying neural disorders and optimizing treatment approaches. By capturing interactions across spatial scales, this method enhances our ability to investigate how local biophysical mechanisms influence global brain states. This multi-scale approach advances research in computational neuroscience, offering new possibilities for therapeutic testing and precision medicine interventions for neurological disorders.
