Abstract
Background: Epileptic seizures are characterized by aberrant synchronization. We hypothesized that higher synchronization across the seizure onset zone (SOZ) channels during a temporal lobe seizure contributes to impaired consciousness. New method: All symmetric bivariate synchronization measures were extended to multivariate measure by a principal component analysis (PCA) based technique. A novel nonparametric method has been proposed to test the statistical significance between increased synchronization across the seizure onset zone (SOZ) channels and reduced consciousness. Results: Increased synchronization in the gamma band towards seizure termination significantly contributes to impaired consciousness (p < 0.1). Synchronization reaches its peak in the extratemporal region (frontal lobe) ahead of the temporal region (p < 0.05). Synchronization is prominent in beta and gamma bands by most methods and it is more in the second half of seizure duration than in the first (p < 0.05). Conclusions: Mutual information is the only synchronization measure out of the six that we studied, whose increase can be associated with the loss of consciousness in a statistically significant way.
| Original language | English (US) |
|---|---|
| Article number | e05769 |
| Journal | Heliyon |
| Volume | 6 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 The Author(s)
Keywords
- Biological sciences
- Computer science
- Consciousness
- Engineering
- Gamma band
- Health sciences
- Mathematics
- Mutual information
- Synchronization
- Temporal lobe epilepsy