Consciousness transitions during epilepsy seizures through the lens of Integrated Information Theory
Research Square October 30, 2023 DOI: 10.21203/rs.3.rs-3462827/v1 (opens in new tab)
Summary
AI-generated from the abstractThe paper examines how Integrated Information Theory (IIT) can be applied to understand changes in consciousness during epileptic seizures. IIT quantifies consciousness through a measure called phi, which reflects the brain's capacity for integrated information. The authors argue that different seizure types produce distinct disruptions in neural integration and information, correlating with varying degrees of consciousness impairment. Focal seizures may reduce phi in specific brain regions, while generalized seizures cause a widespread drop in integrated information, leading to loss of consciousness. The analysis suggests that IIT offers a useful framework for linking seizure activity to conscious experience.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key finding | Proposes that Integrated Information Theory can explain transitions in consciousness during epileptic seizures by measuring changes in integrated information (phi). |
Abstract
Consciousness transitions during epilepsy seizures through the lens of Integrated Information Theory