Consciousness transitions during epilepsy seizures through the lens of Integrated Information Theory
Fabricio Baglivo, Nuria Campora, Camilo Mininni, Silvia Kochen, Sergio Lew
Research Square October 30, 2023 preprint DOI: 10.21203/rs.3.rs-3462827/v1 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study using intracranial electroencephalography (iEEG) recordings |
|---|---|
| Sample size | 6 |
| Population | Patients with refractory epilepsy |
| Measures | Consciousness Seizure Scale (CCS) |
| Key findings | Changes in an autoregressive integrated-information index (ΦAR) computed from intracranial EEG were significantly correlated with changes in reported states of consciousness, as scored with the Consciousness Seizure Scale, during resting states and seizures in 6 patients with refractory epilepsy. |
Abstract
Consciousness is one of the most complex aspects of human experience. Studying the mechanisms involved in transitions and in different levels of consciousness is one of the greatest challenges of neuroscience. In this study we use a measure based on computing the integrated information using an autoregressive system (Φ AR ) to evaluate dynamic changes during consciousness transitions. This index is applied to an intracranial electroencephalography (iEEG) dataset collected from 6 patients that suffer from refractory epilepsy. These records were obtained during resting state and during the crisis. Networks outside epileptogenic regions were created in order to study the ΦAR index evolution when a crisis is detected. By using the Consciousness Seizure Scale (CCS) we show that changes on ΦAR are significantly correlated with changes in the reported states of consciousness.
Citations in the library
Cites 7
- An information integration theory of consciousness BMC Neuroscience November 2, 2004
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- Practical Measures of Integrated Information for Time-Series Data PLoS Computational Biology January 20, 2011
- An implementation of integrated information theory in resting-state fMRI. Communications Biology July 5, 2023
- An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia Comput. Biol. Medicine December 1, 2022
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