Abstract
In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects with focal epilepsy. Then, ten common spatial patterns (CSP) were obtained for EEG segments describing 95% of Riemannian distance between pairs of classes, followed by estimation of multivariate autoregressive (MVAR) models’ coefficients. The MVAR models were further used to extract coherence as a functional connectivity measures. Our results show that the coherence between CSP sources differs between baseline and pre-ictal segments: it has the larger values in low and high frequency ranges during pre-ictal segment. This might correspond to increased coupling of slow and fast oscillations just before the seizure onset which poses a defining attribute of epileptiform activity. Our results indicate that a reorganization of EEG source activations occurs before the onset of focal seizures, which is promising for seizure prediction algorithms.
Lingua originale | English |
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Titolo della pubblicazione ospite | 2019 Signal Processing Symposium (SPSympo) |
Pagine | 126-129 |
Numero di pagine | 4 |
Stato di pubblicazione | Published - 2019 |
All Science Journal Classification (ASJC) codes
- ???subjectarea.asjc.1700.1706???
- ???subjectarea.asjc.1700.1707???
- ???subjectarea.asjc.1700.1711???
- ???subjectarea.asjc.3100.3105???