Propagation of transient explosive synchronization in a mesoscale mouse brain network model of epilepsy.

ABSTRACT: Generalized epileptic attacks, which exhibit widespread disruption of brain activity, are characterized by recurrent, spontaneous, and synchronized bursts of neural activity that self-initiate and self-terminate through critical transitions. Here we utilize the general framework of explosive synchronization (ES) from complex systems science to study the role of network structure and resource dynamics in the generation and propagation of seizures. We show that a combination of resource constraint and adaptive coupling in a Kuramoto network oscillator model can reliably generate seizure-like synchronization activity across different network topologies, including a biologically derived mesoscale mouse brain network. The model, coupled with a novel algorithm for tracking seizure propagation, p

SUBMITTER: Ranjan A 

PROVIDER: S-EPMC11398721 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature