Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures.

ABSTRACT: The spread of seizures across brain networks is the main impairing factor, often leading to loss-of-consciousness, in people with epilepsy. Despite advances in recording and modeling brain activity, uncovering the nature of seizure spreading dynamics remains an important challenge to understanding and treating pharmacologically resistant epilepsy. To address this challenge, we introduce a new probabilistic model that captures the spreading dynamics in patient-specific complex networks. Network connectivity and interaction time delays between brain areas were estimated from white-matter tractography. The model's computational tractability allows it to play an important complementary role to more detailed models of seizure dynamics. We illustrate model fitting and predictive performance in t

SUBMITTER: Moosavi SA 

PROVIDER: S-EPMC9904505 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature